Recent Publications
2025
Scaling 3D Compositional Models for Robust Classification and Pose Estimation
Xiaoding Yuan, Guofeng Zhang, Prakhar Kaushik, Artur Jesslen, Adam Kortylewski, Alan Yuille
ICCV, 2025
Medical World Model
Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shuwen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan Yuille, Lei Zhu, Yu-Dong Zhang, Jieneng Chen
ICCV, 2025
VideoAuteur: Towards Long Narrative Video Generation
Junfei Xiao, Feng Cheng, Lu Qi, Liangke Gui, Yang Zhao, Shanchuan Lin, Jiepeng Cen, Zhibei Ma, Alan Yuille, Lu Jiang
ICCV, 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen
ICCV, 2025
3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark
Wufei Ma, Haoyu Chen, Guofeng Zhang, Yu-Cheng Chou, Celso M de Melo, Alan Yuille
ICCV, 2025
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data
Qi Chen, Xinze Zhou, Alan Yuille, Zongwei Zhou
ICCV, 2025
[Paper]
[Code]
[Project Page]
Generative Model
Medical Vision
Dataset and Benchmark
Analysis by Synthesis
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction
Yuanhao Cai, He Zhang, Kai Zhang, Yixun Liang, Mengwei Ren, Fujun Luan, Qing Liu, Soo Ye Kim, Jianming Zhang, Zhifei Zhang, Yuqian Zhou, Zhang Yulun, Xiaokang Yang, Zhe Lin, Alan Yuille
ICCV, 2025
Report-supervision Loss: Scaling Tumor Segmentation with Radiology Reports
Pedro Bassi, Wenxuan Li, Jieneng Chen, Tianyu Lin, Zheren Zhu, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan Yuille, Zongwei Zhou
MICCAI, 2025
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan, Jieneng Chen, Adam Kortylewski, Alan Yuille, Yaoyao Liu
BMVC, 2025
Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More
Feng Wang, Yaodong Yu, Wei Shao, Yuyin Zhou, Alan Yuille, Cihang Xie
ICML, 2025
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching.
Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen
ICML, 2025
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation
Yifan Yin*, Zhengtao Han*, Shivam Aarya, Jianxin Wang, Shuhang Xu, Jiawei Peng, Angtian Wang, Alan Yuille, Tianmin Shu
RSS, 2025
Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors
Soumava Paul, Prakhar Kaushik, Alan Yuille
TMLR, 2025
SceneCrafter: Controllable Multi-View Driving Scene Editing
Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas Guibas, Mingxing Tan, Dragomir Anguelov
CVPR, 2025
CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion Model
Xiaoding Yuan, Shitao Tang, Kejie Li, Peng Wang
CVPR, 2025
[Paper]
Vision and Language
Generative Model
Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal Models
Xingrui Wang, Wufei Ma, Tiezheng Zhang, Celso M de Melo, Jieneng Chen, Alan Yuille
CVPR, 2025
Mamba-Reg: Vision Mamba Also Needs Registers
Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao, Yuyin Zhou, Alan Yuille, Cihang Xie
CVPR, 2025
Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency
Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei, Angtian Wang, Wei Shao, Yuyin Zhou, Alan Yuille, Cihang Xie
CVPR, 2025
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models
Wufei Ma, Luoxin Ye, Celso M de Melo, Jieneng Chen, Alan Yuille
CVPR, 2025
GenEx: Generating an Explorable World
Taiming Lu, Tianmin Shu, Junfei Xiao, Luoxin Ye, Jiahao Wang, Cheng Peng, Chen Wei, Daniel Khashabi, Rama Chellappa, Alan Yuille, Jieneng Chen
CVPR Demo Track, 2025
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Qihao Liu, Xi Yin, Alan Yuille, Andrew Brown, Mannat Singh
CVPR, 2025
DINeMo: Learning Neural Mesh Models with no 3D Annotations
Weijie Guo, Guofeng Zhang, Wufei Ma, Alan Yuille
CVPR Workshop, 2025
Compositional 4D Dynamic Scenes Understanding with Physics Priors in Video Question Answering
Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan Yuille
ICLR, 2025
[Paper]
[Code]
[Project Page]
Analysis by Synthesis
3D and 4D Vision
Vision and Language
Dataset and Benchmark
Autoregressive Pretraining with Mamba in Vision
Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan Yuille, Cihang Xie
ICLR, 2025
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning
Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan Yuille, Cihang Xie
TMLR, 2025
[Paper]
Perception
Neural Architecture
Generative World Explorer
TaiMing Lu, Tianmin Shu, Daniel Khashabi, Alan Yuille, Jieneng Chen
ICLR, 2025
Efficient Human-in-the-Loop Pancreatic Tumors Annotation via Large-Scale Pre-Trained Model With Adaptive Post-Processing
Xinze Zhou, Yuxuan Zhao, Chuntung Zhuang, Dexin Yu Yu, Alan Yuille, Zongwei Zhou
ISBI, 2025
[Paper]
Medical Vision
Dataset and Benchmark
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Chongyu Qu, …, A. Yuille, J. Kleesiek, J. Egger
Biomedical Engineering/Biomedizinische Technik, 2025
[Paper]
Dataset and Benchmark
Medical Vision
Label Critic: Design Data Before Models
Pedro R. A. S. Bassi, Qilong Wu, Wenxuan Li, Sergio Decherchi, Andrea Cavalli, Alan Yuille, Zongwei Zhou
ISBI, 2025
EasyRet3D: Uncalibrated Multi-view Multi-Human 3D Reconstruction and Tracking.
Oscar Yin, Ting Li, Jiahao Wang, Yi Zhang, Alan Yuille.
WACV, 2025
[Paper]
3D and 4D Vision
Perception
2024
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
Wufei Ma, Guofeng Zhang, Qihao Liu, Guanning Zeng, Adam Kortylewski, Yaoyao Liu, Alan Yuille
NeurIPS D&B, 2024
Efficient Large Multi-modal Models via Visual Context Compression
Jieneng Chen, Luoxin Ye, Ju He, Zhaoyang Wang, Daniel Khashabi, Alan Yuille
NeurIPS, 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Andrea Cavalli, Alan Yuille, Zongwei Zhou
NeurIPS D&B, 2024
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan Yuille
NeurIPS, 2024
Graphical Models
Tom Griffiths, Alan Yuille
Bayesian Models of Cognition: Reverse Engineering the Mind. Eds. T. L. Griffiths, N. Chater, and J. B. Tenenbaum. MIT Press. Chapter 4. November 2024., 2024
Building complex generative models
Tom Griffiths, Alan Yuille
Bayesian Models of Cognition: Reverse Engineering the Mind. Eds. T. L. Griffiths, N. Chater, and J. B. Tenenbaum. MIT Press. Chapter 5. November 2024., 2024
OOD-CV-v2 : An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan Yuille, Adam Kortylewski
TPAMI, 2024
TransUNet: Rethinking the U-Net Architecture Design for Medical Image Segmentation through the Lens of Transformers
Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan Yuille, Yuyin Zhou
Medical Image Analysis, 2024
ExoViP: Step-by-step Verification and Exploration with Exoskeleton Modules for Compositional Visual Reasoning
Yuxuan Wang, Alan Yuille, Zhuowan Li*, Zilong Zheng*
COLM, 2024
From Pixel to Cancer: Cellular Automata in Computed Tomography
Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan Yuille, Zongwei Zhou
MICCAI, 2024
[Paper]
Medical Vision
Analysis by Synthesis
Generative Model
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers.
Chenglin Yang, Siyuan Qiao, Yuan Cao, Yu Zhang, Tao Zhu, Alan Yuille, Jiahui Yu
ECCV, 2024
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Alan Yuille, Yuyin Zhou, Cihang Xie
ECCV, 2024
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation
Zihao Xiao, Longlong Jing, Shangxuan Wu, Alex Zihao Zhu, Jingwei Ji, Chiyu Max Jiang, Wei-Chih Hung, Thomas Funkhouser, Weicheng Kuo, Anelia Angelova, Yin Zhou, Shiwei Sheng
ECCV, 2024
[Paper]
Vision and Language
3D and 4D Vision
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
Feng Wang, Jieru Mei, Alan Yuille
ECCV, 2024
[Paper]
Vision and Language
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data
Wufei Ma, Kai Li, Zhongshi Jiang, Moustafa Meshry, Qihao Liu, Huiyu Wang, Christian Haene, Alan Yuille
ECCV, 2024
NOVUM: Neural Object Volumes for Robust Object Classification
Artur Jesslen*, Guofeng Zhang*, Angtian Wang, Wufei Ma, Alan Yuille, Adam Kortylewski
ECCV, 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan Yuille, Adam Kortylewski, Eddy Ilg
ECCV, 2024
Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis
Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan Yuille
ECCV, 2024
Analyzing Tumors by Synthesis
Qi Chen, Yuxiang Lai, Xiaoxi Chen, Qixin Hu, Alan Yuille, Zongwei Zhou
Book Chapter: Generative Machine Learning Models in Medical Image Computing, 2024
AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking
Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro R. A. S. Bassi, Yijia Shi, Yuxiang Lai, Qian Yu, Huimin Xue, Yixiong Chen, Xiaorui Lin, Yutong Tang, Yining Cao, Haoqi Han, Zheyuan Zhang, Jiawei Liu, Tiezheng Zhang, Yujiu Ma, Jincheng Wang, Guang Zhang, Alan Yuille, Zongwei Zhou
MedIA, 2024
Rejuvenating image-GPT as Strong Visual Representation Learners
Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan Yuille, Cihang Xie
ICML, 2024
Natural scenes reveal diverse representations of 2D and 3D body pose in the human brain
Hongru Zhu, Yijun Ge, Alexander Bratch, Alan Yuille, Kendrick Kay, Daniel Kersten
PNAS, 2024
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models
Shitian Zhao, Zhuowan Li, Yadong Lu, Alan Yuille, Yan Wang
CVPR, 2024
De-Diffusion Makes Text a Strong Cross-Modal Interface
Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan Yuille, Jiahui Yu
CVPR, 2024
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data
Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan Yuille
CVPR, 2024
A Bayesian Approach to OOD Robustness in Image Classification
Prakhar Kaushik, Adam Kortylewski, Alan Yuille
CVPR, 2024
ViTamin: Designing Scalable Vision Models in the Vision-language Era
Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen
CVPR, 2024
Towards Generalizable Tumor Synthesis
Qi Chen, Xiaoxi Chen, Alan Yuille, Zhiwei Xiong, Chen Wei*, Zongwei Zhou*
CVPR, 2024
Structure-Aware Sparse-View X-ray 3D Reconstruction
Yuanhao Cai, Jiahao Wang, Zongwei Zhou, Angtian Wang, Alan Yuille
CVPR, 2024
Sequential Modeling Enables Scalable Learning for Large Vision Models
Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros
CVPR, 2024
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan Yuille, Xiaohui Shen, Liang-Chieh Chen
TMLR, 2024
Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?
Tiezheng Zhang, Xiaoxi Chen, Chongyu Qu, Alan Yuille, Zongwei Zhou*
ISBI, 2024
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography
Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan Yuille, Yucheng Tang*, Zongwei Zhou*
MEDIA, 2024
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts
Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan Yuille, Kang Li, Zongwei Zhou
ISBI, 2024
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan Yuille
ICLR, 2024
Generating Images with 3D Annotations Using Diffusion Models
Wufei Ma*, Qihao Liu*, Jiahao Wang*, Angtian Wang, Xiaoding Yuan, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan Yuille
ICLR, 2024
Automatically Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan Yuille
ICLR, 2024
How Well Do Supervised Models Transfer to 3D Medical Segmentation?
Wenxuan Li, Alan Yuille, Zongwei Zhou*
ICLR, 2024
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan Yuille
ICLR, 2024
Scaling Temporal and Volumetric Datasets for Tumor Localization with Weak Annotations
Yu-Cheng Chou, Bowen Li, Deng-Ping Fan, Alan Yuille, Zongwei Zhou
MIDL, 2024
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou*
TPAMI, 2024
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction
Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan Yuille, Tony Tung
AAAI, 2024
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis
Angtian Wang, Wufei Ma, Alan Yuille, Adam Kortylewski
WACV, 2024
Learning Part Segmentation from Synthetic Animal
Jiawei Peng, Ju He, Prakhar Kaushik, Jiteng Mu, Zihao Xiao, Zongwei Zhou, Alan Yuille
WACV Workshop, 2024
2023
3D-Aware Visual Question Answering about Parts, Poses and Occlusions
Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan Yuille
NeurIPS, 2023
AbdomenAtlas-8K: Annotating 8,000 Abdominal CT Scans for Multi-Organ Segmentation in Three Weeks
Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan Yuille, Zongwei Zhou
NeurIPS, 2023
[Paper]
Dataset and Benchmark
Medical Vision
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
Yu-Cheng Chou, Bowen Li, Deng-Ping Fan, Alan Yuille, Zongwei Zhou
MIR, 2023
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan Yuille, Yaoyao Liu*, Zongwei Zhou*
MICCAI, 2023
SwinMM：Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation
Yiqing Wang*, Zihan Li*, Zihao Wei*, Jieru Mei*, Chen Wang, Alan Yuille, Cihang Xie, Yuyin Zhou
MICCAI, 2023
Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis
Bowen Li, Yu-Cheng Chou, Shuwen Sun, Hualin Qiao, Alan Yuille, Zongwei Zhou
MICCAI Workshop, 2023
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewsky, Alan Yuille
ICCV, 2023
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, ..., Alan Yuille, Adam Kortylewski
ICCV, 2023
Diffusion Models as Masked Autoencoders
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan Yuille, Christoph Feichtenhofer
ICCV, 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yucheng Tang, Yixiao Zhang, Yongyi Lu, Alan Yuille, Zongwei Zhou
ICCV, 2023
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training
Yuanze Lin, Chen Wei, Huiyu Wang, Alan Yuille, Cihang Xie
ICCV, 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan Yuille, Zaiyi Liu, Ling Zhang
ICCV, 2023
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning
Liangyu Chen, Yutong Bai, Siyuan Huang, Yongyi Lu, Bihan Wen, Alan Yuille, Zongwei Zhou
MIDL, 2023
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou
CVPR, 2023
InstMove: Instance Motion for Object-Centric Video Segmentation
Qihao, Junfeng Wu, Yi Jiang, Xiang Bai, Alan Yuille, Song Bai
CVPR, 2023
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
Qihao Liu, Adam Kortylewski, Alan Yuille
CVPR, 2023
InstMove: Instance Motion for Object-Centric Video Segmentation
Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan Yuille, Song Bai
CVPR, 2023
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L Yuille
CVPR, 2023
Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline
Wei Ji, Jingjing Li, Cheng Bian, Zongwei Zhou, Alan Yuille, Li Cheng
CVPR, 2023
Label-Free Liver Tumor Segmentation
Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan Yuille, Zongwei Zhou
CVPR, 2023
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation
Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L Yuille
CVPR, 2023
Masked Autoencoders Enable Efficient Knowledge Distillers
Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L Yuille, Yuyin Zhou, Cihang Xie
CVPR, 2023
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan Yuille, Hartwig Adam, Liang-Chieh Chen
ICLR, 2023
VoGE: A Differentiable Volume Renderer using Neural Gaussian Ellipsoids
Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan Yuille
ICLR, 2023
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks
Yixiong Chen, Zongwei Zhou, Alan Yuille
ICLR, 2023
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Mintong Kang, Bowen Li, Zengle Zhu, Yongyi Lu, Elliot K. Fishman, Alan Yuille, Zongwei Zhou
ISBI, 2023
Delving into Masked Autoencoders for Multi-Label Chest X-ray Classification
Junfei Xiao, Yutong Bai, Alan Yuille, Zongwei Zhou
WACV, 2023
CORL: Compositional Representation Learning for Few-Shot Classification
Ju He, Adam Kortylewski, Alan Yuille
WACV, 2023
CoKe: Localized Contrastive Learning for Robust Keypoint Detection
Yutong Bai, Angtian Wang, Adam Kortylewski, Alan Yuille
WACV, 2023
2022
Learning Road Scene-level Representations via Semantic Region Prediction
Zihao Xiao, Alan Yuille, Yi-Ting Chen
CORL, 2022
[Paper]
3D and 4D Vision
Assembling Existing Labels from Public Datasets to Diagnose Novel Diseases: COVID-19 in Early 2019
Zengle Zhu, Mintong Kang, Alan Yuille, Zongwei Zhou
NeurIPS Workshop, 2022
Synthetic Tumors Make AI Segment Tumors Better
Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jie-Neng Chen, Alan Yuille, Zongwei Zhou
NeurIPS Workshop, 2022
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning
Liangyu Chen, Yutong Bai, Siyuan Huang, Yongyi Lu, Bihan Wen, Alan Yuille, Zongwei Zhou
NeurIPS Workshop, 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski
ECCV, 2022
K-Means Mask Transformer
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
ECCV, 2022
In Defense of Online Models for Video Instance Segmentation
Junfeng Wu*, Qihao Liu*, Yi Jiang, Song Bai, Alan Yuille, Xiang Bai
ECCV, 2022
CP2: Copy-Paste Contrastive Pretraining forSemantic Segmentation
Feng Wang, Huiyu Wang, Chen Wei, Alan Yuille, Wei Shen
ECCV, 2022
Robust Category-Level 6D Pose Estimation with Feature-level Render and Compare
Wufei Ma, Angtian Wang, Alan Yuille, Adam Kortylewski
ECCV, 2022
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation
Qihao Liu, Yi Zhang, Song Bai, Alan Yuille
ECCV, 2022
In Defense of 2D Image Pre-training for 3D Video Classification
Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan Yuille, Yuyin Zhou, Cihang Xie
ECCV, 2022
PartImageNet: A Large, High-Quality Dataset for Part Something
Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille
ECCV, 2022
Context Enhanced Stereo Transformer
Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russ Taylor, Mathias Unberath, Alan Yuille, Yingwei Li
ECCV, 2022
[Paper]
3D and 4D Vision
CateNorm: Categorical Normalization for Robust Medical Image Segmentation
Junfei Xiao, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan Yuille, Yuyin Zhou
MICCAI Workshop, 2022
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
CVPR, 2022
Lite Vision Transformer with Enhanced Self-Attention
Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan Yuille
CVPR, 2022
Learning from Temporal Gradient for Semi-supervised Action Recognition
Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li
CVPR, 2022
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan Yuille, Christoph Feichtenhofer
CVPR, 2022
Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model
Yihong Sun, Adam Kortylewski, Alan Yuille
CVPR, 2022
Simulated Adversarial Testing of Face Recognition Models
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan Yuille, Stan Sclaroff
CVPR, 2022
A Simple Data Mixing Prior for Improving Self-Supervised Vision Transformer
Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan Yuille, Yuyin Zhou, Cihang Xie
CVPR, 2022
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles
Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan Yuille
CVPR, 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan Yuille, Mingxing Tan
CVPR, 2022
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering
Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, YIngwei Li, Alan Yuille
CVPR, 2022
TransMix: Attend to Mix for Vision Transformers
Jie-Neng Chen, Shuyang Sun, Ju He, Philip Torr, Alan Yuille, Song Bai
CVPR, 2022
Point-Level Region Contrast for Object Detection Pre-Training
Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan Yuille, Alexander C. Berg
CVPR, 2022
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou, Chen Wei, Huiyu Wang, Cihang Xie, Wei Shen, Alan Yuille, Tao Kong
ICLR, 2022
Fast AdvProp
Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan Yuille, Cihang Xie
ICLR, 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan Yuille, Yongyi Lu
MIDL, 2022
TransFG: A Transformer Architecture for Fine-grained Recognition
Ju He, Jie-Neng Chen, Adam Kortylewski, Alan Yuille -Internship
AAAI, 2022
2021
Glance-and-Gaze Vision Transformer
Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan Yuille, Wei Shen
NeurIPS, 2021
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Angtian Wang, Shenxiao Mei, Alan Yuille, Adam Kortylewski
NeurIPS, 2021
Are Transformers More Robust than CNNs?
Yutong Bai, Jieru Mei, Alan Yuille, Cihang Xie
NeurIPS, 2021
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip HS Torr, Song Bai.
NeurIPS Datasets and Benchmarks, 2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik, Alex Gain, Adam Kortylewski, Alan Yuille
NeurIPS Workshop, 2021
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention
Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan Yuille
BMVC, 2021
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot Fishman, Alan Yuille
ICCV Workshop, 2021
Nuisance-Label Supervision: Robustness Improvement by Free Labels
Xinyue Wei, Weichao Qiu, Yi Zhang, Zihao Xiao, and Alan Yuille
ICCV Workshop, 2021
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
Chenxu Luo, Xiaodong Yang, Alan Yuille
ICCV, 2021
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan Yuille
ICCV, 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
JitengMu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos, Xiaolong Wang
ICCV, 2021
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, and Alan L. Yuille
IEEE Transactions on Medical Imaging, 2021
Effective Large-scale Screening of Multi-type Pancreatic Cancers on Non-contrast CT Scans via Anatomy-Aware Transformers
Yingda Xia, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan Yuille, Kai Cao, Ling Zhang
MICCAI, 2021
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
Fengze Liu, Ke Yan, Adam Harrison, Dazhou Guo, Le Lu, Alan Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, and Dakai Jin
MICCAI, 2021
Sequential Learning on Tumor Boundary Semantics and Prognostic Biomarker Mining
Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, and Le Lu
MICCAI, 2021
Three-Dimensional Pose Discrimination in Natural Images of Humans
Hongru Zhu, Alan Yuille, Daniel Kersten
CogSci , 2021
Visual Analogy: Deep Learning versus Compositional Models
Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan Yuille, Hongjing Lu
CogSci , 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan Yuille, Yuyin Zhou
ICML Workshop, 2021
[Paper]
Neural Architecture
Medical Vision
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion
Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan Yuille
CVPR, 2021
Mask Guided Matting via Progressive Refinement Network
Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan Yuille
CVPR, 2021
CReST: A Class-Rebalancing Self-Training Frameworkfor Imbalanced Semi-Supervised Learning
Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan Yuille, Fan Yang
CVPR, 2021
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
CVPR, 2021
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
CVPR, 2021
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Siyuan Qiao, Liang-Chieh Chen, Alan Yuille
CVPR, 2021
Self-Supervised Pillar Motion Learning for Autonomous Driving
Chenxu Luo, Xiaodong Yang, Alan Yuille
CVPR, 2021
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan Yuille, Zhenheng Yang
CVPR, 2021
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
Zefan Li, Chenxi Liu, Alan Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao
CVPR, 2021
Deeply Shape-guided Cascade for Instance Segmentation
Hao Ding, Siyuan Qiao, Alan Yuille, Wei Shen
CVPR, 2021
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei, Huiyu Wang, Wei Shen, Alan Yuille
ICLR, 2021
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
Angtian Wang, Adam Kortylewski, Alan Yuille
ICLR, 2021
Shape-Texture Debiased Neural Network Training
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan Yuille, Cihang Xie
ICLR, 2021
Compositional Generative Networks and Robustness to Perceptible Image Changes
Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan Yuille
CISS, IEEE Information Theory Society, 2021
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan Yuille
AAAI, 2021
DASZL: Dynamic Action Signatures for Zero-shot Learning
Tae Soo Kim*, Jonathan Jones*, Michael Peven*, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan Yuille, Gregory D. Hager
AAAI, 2021
2020
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization.
Qi Chen, Lin Sun, Ernest Cheung, Alan Yuille
NeurlPS, 2020
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion
Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan Yuille
IJCV, 2020
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan Yuille, Le Lu
MICCAI, 2020
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
Yingda Xia*, Qihang Yu*, Wei Shen, Yuyin Zhou, Elliot Fishman, Alan Yuille
MICCAI, 2020
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation
Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille
MICCAI, 2020
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
Chun Hung Chao, Zhuotun Zhu*, Dazhou Guo*, Ke Yan*, Tsung-Ying Ho, Jinzheng Cai, Adam Harrison, Xianghua Ye, Jing Xiao, Alan Yuille, Min Sun, Le Lu, Dakai Jin
MICCAI, 2020
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
Hanwen Cao, Yongyi Lu, Alan Yuille
BMVC, 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille
ECCV, 2020
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
Yingda Xia*, Yi Zhang*, Fengze Liu, Wei Shen, Alan Yuille
ECCV, 2020
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
ECCV, 2020
Are Labels Necessary for Neural Architecture Search?
Chenxi Liu, Piotr Dollar, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie
ECCV, 2020
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille
ECCV, 2020
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan Yuille
ECCV, 2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth
Medical Image Analysis, 2020
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan Yuille, Daguang Xu
CVPR, 2020
Adversarial Examples Improve Image Recognition
Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan Yuille, Quoc Le
CVPR, 2020
Robust Object Detection under Occlusion withContext-Aware CompositionalNets
Angtian Wang, Yihong Sun, Adam Kortylewski, Alan Yuille
CVPR, 2020
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille
CVPR, 2020
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt
Jialing Lyu, Weichao Qiu, Alan Yuille
CVPR Workshop, 2020
Neural Architecture Search for Lightweight Non-Local Networks
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan Yuille
CVPR, 2020
Context-Aware Group Captioning via Self-Attention and Contrastive Features
Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan Yuille
CVPR, 2020
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
Adam Kortylewski, Ju He, Qing Liu, Alan Yuille
CVPR, 2020
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan Yuille, Changqing Zou, Ning Liu
CVPR, 2020
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Jieru Mei, Yingwei Li, Xiaochen Lian, Linjie Yang, Xiaojie Jin, Alan Yuille, Jianchao Yang
ICLR, 2020
Towards Resisting Large Data Variations via Introspective Learning
Yunhan Zhao, Ye Tian, Charless Fowlkes, Wei Shen, Alan Yuille
WACV, 2020
Robust Face Detection via Learning Small Faces on Hard Images
Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan Yuille
WACV, 2020
3D Semi-supervised Learning with Uncertainty-Aware Multi-view Co-training
Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth
WACV, 2020
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion
Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan Yuille
WACV, 2020
Adversarial Examples for Edge Detection: They Exist, and They Transfer
Christian Cosgrove, Alan Yuille
WACV, 2020
Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support
David Dreizin, Yuyin Zhou, Tina Chen, Guang Li, Alan L Yuille, Ashley McLenithan, Jonathan J Morrison
Journal of Trauma and Acute Care Surgery, 2020
When Radiology Report Generation Meets Knowledge Graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, Daguang Xu
AAAI, 2020
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion
Mingqing Xiao, Wei Shen, Siyuan Qiao, Adam Kortylewski, Ruihai Wu, Alan Yuille
ECCVW, 2020
Identifying Model Weakness with Adversarial Examiner
Michelle Shu, Chenxi Liu, Weichao Qiu, Alan Yuille
AAAI, 2020
Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan Yuille
AAAI, 2020
Unsupervised Learning of Optical Flow With Patch Consistency and Occlusion Estimation
Zhe Ren, Junchi Yan, Xiaokang Yang, Alan Yuille, Hongyuan Zha
Pattern Recognition, 2020
2019
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation
Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot Fishman, Alan Yuille
ICCV, 2019
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition
Chenxu Luo, Alan Yuille
ICCV, 2019
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval
Qing Liu, Lingxi Xie, Huiyu Wang, Alan Yuille
ICCV, 2019
An Alarm System for Segmentation Algorithm Based on Shape Model
Fengze Liu, Yingda Xia, Dong Yang, Alan Yuille, Daguang Xu
ICCV, 2019
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data
Yutong Bai, Qing Liu, Lingxi Xie, Weichao Qiu, Yan Zheng, Alan Yuille
ICCV, 2019
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma
Zhuotun Zhu*, Yingda Xia*, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille
MICCAI, 2019
Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation
Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Elliot Fishman, Alan Yuille, Seyoun Park
MICCAI, 2019
Lesion Detection by Efficiently Bridging 3D Context
Zhishuai Zhang, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille
MLMI, 2019
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures
Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan Yuille
MLMI, 2019
Lesion Detection by Efficiently Bridging 3D Context
Zhishuai Zhang, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille
MLMI, 2019
Joint Shape Representation and Classification for Detecting PDAC in Abdominal CT Scans
Fengze Liu, Lingxi Xie, Yingda Xia, Elliot Fishman, Alan Yuille
MLMI, 2019
FusionNet: Incorporating Shape and Texture forAbnormality Detection in 3D Abdominal CTScans
Fengze Liu, Yuyin Zhou, Elliot Fishman, Alan Yuille
MLMI, 2019
2D Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans
Yuyin Zhou*, Qihang Yu*, Yan Wang, Lingxi Xie, Wei Shen, Elliot K.Fishman, and Alan L. Yuille
Book Chapter: Deep Learning and CNN for Medical Image Computing , 2019
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples
Yingwei Li*, Zhuotun Zhu*, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K.Fishman, and Alan L. Yuille
Book Chapter: Deep Learning and CNN for Medical Image Computing , 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan Yuille, Daguang Xu
3DV, 2019
Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience
Linda Chu, Seyoun Park, Satomi Kawamoto et al.
Journal of the American College of Radiology, 2019
Deep differentiable Random Forests for Age Estimation
Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan Yuille
PAMI, 2019
Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue
Linda Chu, Seyoun Park, Satomi Kawamoto et al.
American Journal of Roentgenology, 2019
Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and/or Multiple Images
Yuan Gao, Alan Yuille
IJCV, 2019
Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation
Seyoun Park, Linda Chu, Elliot K. Fishman et al.
Diagnostic and Interventional Imaging, 2019
Robustness of Object Recognition under Extreme Occlusion in Human and Computational Models
Hongru Zhu, Peng Tang, Jeongho Park, Soojin Park, Alan Yuille
CogSci , 2019
Seeing the Meaning: Vision meets Semantics in Solving Pictorial Analogy Problems
Hongjing Lu, Qing Liu, Nicholas Ichien, Alan L. Yuille, Keith J. Holyoak
CogSci , 2019
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan Yuille
PAMI, 2019
CRAVES: Controlling Robotic Arm with a Vision-based Economic System
Yiming Zuo*, Weichao Qiu*, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan Yuille
CVPR, 2019
Adversarial Attacks Beyond the Image Space
Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi Keung Tang, Alan Yuille
CVPR, 2019
Snapshot Distillation: Teacher-Student Optimization in One Generation
Chenglin Yang, Lingxi Xie, Alan Yuille
CVPR, 2019
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan Yuille
CVPR, 2019
Feature Denoising for Improving Adversarial Robustness
Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He
CVPR, 2019
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan Yuille
CVPR, 2019
ELASTIC: Improving CNNs with Dynamic Scaling Policies
Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan Yuille, Mohammad Rastegari
CVPR, 2019
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan Yuille
CVPR, 2019
Elastic Boundary Projection for 3D Medical Image Segmentation
Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot Fishman, Alan Yuille
CVPR, 2019
Learning to Refine 3D Human Pose Sequences
Jieru Mei, Xingyu Chen, Chunyu Wang, Alan Yuille, Xuguang Lan, Wenjun Zeng
3DV, 2019
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
Runtao Liu, Chenxi Liu, Yutong Bai, Alan Yuille
CVPR, 2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan Yuille, Li Fei-Fei
CVPR, 2019
Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan Yuille
CVPR Workshop, 2019
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan Yuille
CVPR, 2019
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan Yuille
PAMI, 2019
Structured Prediction using cGANS with Fusion Discriminator
Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan Yuille
ICLR Workshop, 2019
Abdominal Multi-organ Segmentation with Organ-attention Networks and Statistical Fusion
Yan Wang*, Yuyin Zhou*, Wei Shen, Seyoun Park, Elliot K. Fishman, Alan L. Yuille
Medical Image Analysis, 2019
Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT
David Dreizin, Yuyin Zhou, Yixiao Zhang, Nikki Tirada, Alan L. Yuille
Journal of Digital Imaging, 2019
Training Deep Neural Networks in Generations: More Tolerant Teachers Educate Better Students
Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan Yuille
AAAI, 2019
Learning Basis Representation to Refine 3D Human Pose Estimations
Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng
AAAI, 2019
Semi-Supervised 3D Multi-Organ Segmentation via Deep Multi-Planar Co-Training
Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan L. Yuille
WACV, 2019
Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis
Tae Soo Kim, Mike Peven, Weichao Qiu, Alan Yuille, Gregory Hager
WACV Workshop HADCV, 2019
2018
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
Hong Chen, Zhenhua Fan, Hao Lu, Alan Yuille, Shu Rong
EMNLP, 2018
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan Yuille
PAMI, 2018
Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images
Yansheng Li, Yongjun Zhang, Xin Huang, Alan L. Yuille
ISPRS Journal of Photogrammetry and Remote Sensing, 2018
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net
Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille
MICCAI, 2018
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound
Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille
MICCAI, 2018
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Yan Wang*, Lingxi Xie*, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Alan Yuille
ECCV, 2018
Weakly Supervised Region Proposal Network and Object Detection
Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan Yuille
ECCV, 2018
Deep Co-Training for Semi-Supervised Image Recognition
Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan Yuille
ECCV, 2018
Progressive Neural Architecture Search
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy
ECCV, 2018
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation
Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K Fishman, Alan Yuille
3DV, 2018
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision
Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan Yuille
3DV, 2018
OriNet: A Fully Convolutional Network for 3D Human Pose Estimation
Chenxu Luo, Xiao Chu, Alan Yuille
BMVC, 2018
SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data
Qi Chen, Weichao Qiu, Yi Zhang, Lingxi Xie, Alan Yuille
BMVC, 2018
Robust 3D Human Pose Estimation from Single Images or Video Sequences
Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan Yuille
PAMI, 2018
Gradually Updated Neural Networks for Large-Scale Image Recognition
Siyuan Qiao, Zhishuai Zhang, Wei Shen, Bo Wang, Alan Yuille
ICML, 2018
Single-Shot Object Detection with Enriched Semantics
Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille
CVPR, 2018
DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion
Zhishuai Zhang*, Cihang Xie*, Jianyu Wang*, Lingxi Xie, Alan L. Yuille
CVPR, 2018
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille
CVPR, 2018
Deep Regression Forests for Age Estimation
Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan Yuille
CVPR, 2018
Few-Shot Image Recognition by Predicting Parameters from Activations
Siyuan Qiao, Chenxi Liu, Wei Shen, Alan Yuille
CVPR, 2018
Scene Graph Parsing as Dependency Parsing
Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan Yuille
NAACL, 2018
Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation
Jinhang Choi, Kevin M Irick, Justin Hardin, Weichao Qiu, Alan Yuille, Jack Sampson, Vijaykrishnan Narayanan
ISCAS, 2018
Mitigating adversarial effects through randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille
ICLR, 2018
Adversarial Attacks and Defences Competition
Alexey Kurakin, Ian Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe
The NIPS 17 Competition Building Intelligent Systems, Springer International Publishing, 2018
Visual Concepts and Compositional Voting
Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan Yuille
Annals of Mathematical Sciences and Applications, 2018
2017
Deep Learning for Computer Vision
Ross Girshick, Iasonas Kokkinos, Ivan Laptev, Jitendra Malik, George Papandreou, Andrea Vedaldi, Xiaogang Wang, Shuicheng Yan, Alan Yuille
Computer Vision and Image Understanding, 2017
Deep Learning in Radiology: Now the Real Work Begins
Carolina Lugo-Fagundo, Bert Vogelstein, Alan Yuille, Elliot K Fishman
Journal of the American College of Radiology, 2017
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai, Alan Yuille
IEEE Trans. Image Processing, 2017
NormFace: L2 Hypersphere Embedding for Face Verification
Feng Wang, Xiang Xiang, Jian Cheng, Alan Yuille
ACM Multimedia, 2017
Adversarial Examples for Semantic Segmentation and Object Detection
Cihang Xie*, Jianyu Wang*, Zhishuai Zhang*, Yuyin Zhou, Lingxi Xie, Alan Yuille
ICCV, 2017
SORT: Second-Order Response Transform for Visual Recognition
Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian, Alan Yuille
ICCV, 2017
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection
Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan Yuille
ICCV, 2017
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan Yuille
ICCV, 2017
Recurrent Multimodal Interaction for Referring Image Segmentation
Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan Yuille
ICCV, 2017
Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections
Ehsan Jahangiri, Alan Yuille
ICCV (PeopleCap workshop), 2017
Regularizing Face Verification Nets For Pain Intensity Regression
Feng Wang, Xiang Xiang, Chang Liu, Trac D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille
ICIP, 2017
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
Yuyin Zhou, Lingxi Xie, Wei Shen, Yan Wang, Elliot Fishman, Alan Yuille
MICCAI, 2017
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans
Yuyin Zhou, Lingxi Xie, Elliot Fishman, Alan Yuille
MICCAI, 2017
Exploiting Protrusion Cues for Fast and Effective Shape Matching via Ellipses
Alex Wong, Brian Taylor, Alan Yuille
BMVC, 2017
Detecting Semantic Parts on Partially Occluded Objects
Jianyu Wang*, Cihang Xie*, Zhishuai Zhang*, Jun Zhu, Lingxi Xie, Alan Yuille
BMVC, 2017
Multiple Instance Visual-Semantic Embedding
Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan Yuille
BMVC, 2017
MAT: A Multimodal Attentive Translator for Image Captioning
Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan L. Yuille
IJCAI, 2017
Joint Multi-Person Pose Estimation and Semantic Part Segmentation
Fangting Xia, Peng Wang, Xianjie Chen, Alan Yuille
CVPR, 2017
Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images
Yuan Gao, Alan Yuille
CVPR, 2017
Multi-Context Attention for Human Pose Estimation
Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan Yuille
CVPR, 2017
A Novel Linelet-based Representation for Line Segment Detection
Nam-Gyu Cho, Alan Yuille, Seong-Whan Lee
PAMI, 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan Yuille
PAMI, 2017
Transfer of View-manifold Learning to Similarity Perception of Novel Objects
Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan Yuille, Tai Sing Lee
ICLR, 2017
PASCAL Boundaries: A Semantic Boundary Dataset with A Deep Semantic Boundary Detector
Vittal Premachandran, Boyan Bonev, Xiaochen Lian, Alan Yuille
WACV, 2017
Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples
Yuan Gao, Jiayi Ma, Alan Yuille
TIP, 2017
Attention Correctness in Neural Image Captioning
Chenxi Liu, Junhua Mao, Fei Sha, Alan Yuille
AAAI, 2017
2016
Ground-truth Dataset and Baseline Evaluations for Base-detail Separation Algorithms at the Part Level
Xuan Dong*, Boyan Bonev*, Weixin Li, Weichao Qiu, Xianjie Chen, Alan Yuille
IEEE Transactions on Circuits, and Systems for Video Technology, 2016
SURGE: Surface Regularized Geometry Estimation from a Single Image
Peng Wang, Xiaohui Shen, Bryan Russell, Scott Cohen, Brian Price, Alan Yuille
NIPS, 2016
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
Junhua Mao, Jiajing Xu, Yushi Jing, Alan Yuille
NIPS, 2016
UnrealCV: Connecting Computer Vision to Unreal Engine
Weichao Qiu, Alan Yuille
ECCV Workshop VARVAI, 2016
Joint Image-Text Representation by Gaussian Visual-Semantic Embedding
Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan Yuille
ACM Multimedia Project, 2016
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons
Lingxi Xie, Qi Tian, John Flynn, Jingdong Wang, Alan Yuille
ECCV, 2016
Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net
Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan Yuille
ECCV, 2016
Symmetric Non-Rigid Structure from Motion for Category-Specific Object Structure Estimation
Yuan Gao, Alan Yuille
ECCV, 2016
Empirical Minimum Bayes Risk Prediction
Vittal Premachandran, Daniel Tarlow, Alan Yuille, Dhruv Batra
PAMI, 2016
FIPIP: A Novel Fine-grained Parallel Partition Based Intra-frame Prediction on Heterogeneous Many-Core Systems
Wenbin Jiang, Min Long, Laurence T. Yang, Xiaobai Liu, Hai Jin, Alan Yuille, Ye Chi
Future Generation Computer Systems, 2016
InterActive: Inter-Layer Activeness Propagation
Lingxi Xie*, Liang Zheng*, Jingdong Wang, Alan Yuille, Qi Tian
CVPR, 2016
Generation and Comprehension of Unambiguous Object Descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan Yuille, Kevin Murphy
CVPR, 2016
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan Yuille
CVPR, 2016
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan Yuille
CVPR, 2016
Pose-Guided Human Parsing with Deep-Learned Features
Fangting Xia, Jun Zhu*, Peng Wang*, Alan Yuille
AAAI, 2016
Recognizing Actions in 3D using Action-Snippets and Activated Simplices
Chunyu Wang, John Flynn, Yizhou Wang, Alan Yuille
AAAI, 2016
2015
Joint Object and Part Segmentation using Deep Learned Potentials
Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian Price, Alan Yuille
ICCV, 2015
Scene-Domain Active Part Models for Object Representation
Zhou Ren, Chaohui Wang, Alan Yuille
ICCV, 2015
Non Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou, Liang-Chieh Chen, Kevin Murphy and Alan Yuille
ICCV, 2015
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan Yuille
ICCV, 2015
Non-Rigid Point Set Registration by Preserving Global and Local Structures
Jiayi Ma, Ji Zhao, Alan Yuille
IEEE TIP, 2015
Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding
Roozbeh Mottaghi, Sanja Fidler, Alan Yuille, Raquel Urtasun, Devi Parikh
IEEE TPAMI, 2015
Robust L2E Estimation of Transformation for Non-Rigid Registration
Jiayi Ma, Weichao Qiu, Ji Zhao, Yong Ma, Alan L. Yuille, Zhuowen Tu
IEEE TSP, 2015
A Bayesian Theory of Sequential Causal Learning and Abstract Transfer
Hongjing Lu, Randall Rojas, Tom Beckers, Alan Yuille
Cognitive Science, 2015
Temporally Consistent Region-based Video Exposure Correction
Xuan Dong, Boyan Bonev, Yu Zhu, Alan Yuille
ICME, 2015
Learning Deep Structured Models
Liang-Chieh Chen, Alexander Schwing, Alan Yuille, Raquel Urtasun
ICML, 2015
Bottom-Up Processing in Complex Scenes: a unifying perspective on segmentation, fixation saliency, candidate regions, base-detail decomposition, and image enhancement
Boyan Bonev, Alan Yuille
Recent Progress in Brain and Cognitive Engineering, 2015
Modeling Deformable Gradient Compositions for Single-Image Super-resolution
Yu Zhu, Yanning Zhang, Boyan Bonev, Alan Yuille
CVPR, 2015
Towards Unified Depth and Semantic Prediction from a Single Image
Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian Price, Alan Yuille
CVPR, 2015
Semantic Part Segmentation using Compositional Model combining Shape and Appearance
Jianyu Wang, Alan Yuille
CVPR, 2015
Region-based Temporally Consistent Video Post-processing
Xuan Dong, Boyan Bonev, Yu Zhu, Alan Yuille
CVPR, 2015
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Junhua Mao, Wei Xu, Yi Yang, JiangWang, Zhiheng Huang, Alan Yuille
ICLR, 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan Yuille
ICLR, 2015
2014
Learning from weakly supervised data by the expectation loss svm (e-svm) algorithm
Jun Zhu, Junhua Mao, Alan Yuille
NIPS, 2014
Explain images with multimodal recurrent neural networks
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan Yuille
Deep Learning and Representation Learning Workshop: NIPS, 2014
Articulated pose estimation by a graphical model with image dependent pairwise relations
Xianjie Chen, Alan Yuille
NIPS, 2014
An active patch model for real world texture and appearance classification
Junhua Mao, Jun Zhu, Alan Yuille
ECCV, 2014
Towards unified object detection and semantic segmentation
Jian Dong, Qiang Chen, Shuicheng Yan, Alan Yuille
ECCV, 2014
Parsing semantic parts of cars using graphical models and segment appearance consistency
Wenhao Lu, Xiaochen Lian, Alan Yuille
BMVC, 2014
Single image super-resolution using deformable patches
Yu Zhu, Yanning Zhang, Alan Yuille
CVPR, 2014
Robust estimation of 3d human poses from a single image
Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan Yuille, Wen Gao
CVPR, 2014
Modeling image patches with a generic dictionary of mini-epitomes
George Papandreou, Liang-Chieh Chen, Alan Yuille
CVPR, 2014
The role of context for object detection and semantic segmentation in the wild
Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, Alan Yuille
CVPR, 2014
The secrets of salient object segmentation
Yin Li, Xiaodi Hou, Christof Koch, James M Rehg, Alan Yuille
CVPR, 2014
Detect what you can: Detecting and representing objects using holistic models and body parts
Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan Yuille
CVPR, 2014
Beat the mturkers: Automatic image labeling from weak 3d supervision
Liang-Chieh Chen, Sanja Fidler, Alan Yuille, Raquel Urtasun
CVPR, 2014
Guest Editorial: Geometry, Lighting, Motion, and Learning
Alan Yuille, Jiebo Luo
Int'J. of Computer Vision (IJCV), 2014
Perturb-and-MAP Random Fields: Reducing Random Sampling to Optimization, with Application in Computer Vision
George Papandreou, Alan Yuille
MIT press volume on Advanced Structured Prediction. Ed. S. Nowozin, P. V. Gehler, J. Jancsary, and C. H. Lampert., 2014
Robust Point Matching via Vector Field Consensus
Jiayi Ma, Ji Zhao, Jinwen Tian, Alan Yuille, Zhuowen Tu
Transactions in Image Processing, 2014
Inferential Models of the Visual Cortical Hierarchy
Daniel Kersten, Alan Yuille
Brown The New Cognitive Neurosciences, 5th Edition. Gazzaniga (Ed.), 2014
A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization
Ge Guo, Yizhou Wang, Tingting Jiang, Alan Yuille, Fang Fang, Wen Gao
Int'J. of Computer Vision (IJCV), 2014
Non-negative Matrix Factorization of Multimodal MRI, fMRI, and Phenotypic Data reveals Differential Changes in Default Mode Subnetworks in ADHD
Ariana Anderson, Pamela K. Douglas, Wesley T. Kerr, Virginia S. Haynes, Alan L. Yuille, Jianwen Xie, Ying Nian Wu, Jesse A. Brown, and Mark S. Cohen
NeuroImage, 2014
2013
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling
Liang-Chieh Chen, George Papandreou, Alan Yuille
Computer Vision (ICCV), 2013 IEEE International Conference on, 337-344, 2013
Bayesian Inference and Beyond
Daniel Kersten, Alan Yuille
The New Visual Neurosciences John S. Werner and Leo M. Chalupa (Editors) MIT Press. Cambridge MA. 2013, 2013
Complexity of Representation and Inference in Compositional Models with Part Sharing
Alan Yuille, Roozbeh Mottaghi
International Conference on Learning Representations (ICML). 2013, 2013
An Approach to Pose Based Action Recognition
Chunyu Wang, Yizhou Wang, Alan Yuille
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013
Robust Estimation of Nonrigid Transformation for Point Set Registration
Jiayi Ma, Ji Zhao, Jinwen Tian, Zhuowen Tu, Alan Yuille
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013
Robust Region Grouping via Internal Patch Statistics
Xiaobai Liu, Liang Lin, Alan Yuille
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013
Boundary Detection Benchmarking: Beyond F-Measures
Xiaodi Hou, Alan Yuille, Christof Koch
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013
Bottom-up Segmentation for Top-down Detection
Sanja Fidler, Roozbeh Mottaghi, Alan Yuille, Raquel Urtasun
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013
2012
Where's the Action? Action as an innate bias for visual learning
Alan Yuille, Heinrich Bulthoffb
PNAS, 2012
Computer Vision needs a Core and Foundation
Alan Yuille
Opinion Paper. Image and Vision Computing., 2012
Adaptive Self-Occlusion Reasoning for 3D Human Pose Tracking from Accepted. Monocular Image Sequences
Nam-Gyu Cho, Alan Yuille, Seong-Whan Lee
Pattern Recognition, 2012
Probabilistic Models of Vision and Max-Margin Methods
Alan Yuille, Xuming He
Frontiers of Electrical and Electornic Engineering. Vol. 7, Number 1., 2012
Recursive Segmentation and Recognition Templates for Image Parsing
Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan Yuille
IEEE Trans. Pattern Anal. Mach. Intell., 2012
A family of CCCP Algorithms with minimize the TRW Free Energy
Yu Nishiyama, Xingyao Ye, Alan Yuille
New Generation Computing, 2012
2011
Learning a Dictionary of Deformable patches using GPUs
Xingyao Ye, Alan Yuille
Workshop on GPU's in Computer Vision Applications. ICCV, 2011
A compositional approach to learning part-based models for single and multi-view object detection
Roozbeh Mottaghi, Ananth Ranganathan, Alan Yuille
3dRR-11 workshop. ICCV, 2011
Computing Importance of 2D Contour Parts by Reconstructability
Ge Guo, Yizhou Wang, Tingting Jiang, Alan Yuille, Wen Gao
1st IEEE Workshop in Information Theory in Computer Vision and Pattern Recognition. ICCV, 2011
Nonflat Observation Model and Adpative Depth Order Estimation for 3D Human Pose Tracking
Nam-Gyu Cho, Alan Yuille, Seong-Whan Lee
First Asian Conference on pattern Recognition, 2011
Towards a Theory of Compositional Learning and Encoding of Objects
Alan Yuille
1st IEEE Workshop in Information Theory in Computer Vision and Pattern Recognition. ICCV, 2011
Perturb and Map: Using Discrete Optimization to Learn and Sample from Energy Models
George Papandreou, Alan Yuille
ICCV, 2011
Efficient Variational Inference in Large-scale Bayesian Compressed Sensing
George Papandreou, Alan Yuille
1st IEEE Workshop in Information Theory in Computer Vision and Pattern Recognition. ICCV, 2011
Recursive Compositional Models for Vision: Description and Review of Previous work
Long (Leo) Zhu, Yuanhao Chen, Alan Yuille
Journal of Mathematical Imaging and Vision, 2011
Belief Propagation, Mean Field, and Bethe Approximations
Alan Yuille
In Advances in Markov Random Fields for Vision and Image Processing. Ed.s A. Blake, P. Kohli, and C. Rother. MIT Press, 2011
Adaboost for text Detection in Natural Scences
Jung-Jin Lee, Pyoung-Hean Lee, Christof Koch, Alan Yuille
Proceeding of International Conference on Document Analysis and Recognition. PP 429-434., 2011
Inference and Learning with Hierarchical Compositional Models
Iasonas Kokkinos, Alan Yuille
IJCV, 2011
Large Sample Group Independent Component Analysis of Functional Magemtic Resonance Imaging using Anatomical atlas-based reduction and bootstrapped clustering
Ariana Anderson, Jennifer Bramen, Pamela K. Douglas, Agatha Lenartowicz, Andrew Cho, Chris Culbertson, Arthur L. Brody, Alan L. Yuille, and Mark S. Cohen
International Journal of Imaging Systems and Technology. Special Issue on Brain Mapping and Neuroimaging. 21(2)., 2011
Max-Margin AND/OR graph learning for parsing the human body
Long (Leo) Zhu, Yuanhao Chen, Chenxi Lin, Alan Yuille
IJCV, 2011
2010
A Unified model of short-range and long-range motion perception
Shuang Wu, Xuming He, Hongjing Lu, Alan Yuille
NIPS, 2010
Functional form of Motion Priors in Human Motion Perception
Hongjing Lu, Tungyou Lin, Alan L. F. Lee, Luminita Vese, Alan Yuille
NIPS, 2010
Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief versus disbelie
P.K. Douglas, Sam Harris, Alan Yuille, Mark S. Cohen
Neuroimage, 2010
Detecting Object Boundaries Using Low-, Mid-, and High-Level Information
Songfeng Zheng, Alan Yuille, Zhuowen Tu
Journal of Computer Vision and Image Understanding, 2010
An Information Theoretic Perspective on Computer Vision
Alan Yuille
Frontiers of Electrical and Electronic Engineering, 2010
Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection
Long (Leo) Zhu, Yuanhao Chen, Antonio Torralba, William Freeman, Alan Yuille
CVPR, 2010
Latent Hierarchical Structural Learning for Object Detection
Long (Leo) Zhu, Yuanhao Chen, Alan Yuille, William Freeman
CVPR, 2010
2009
Modeling the spacing effect in sequential category learning
Hongjing Lu, Matthew Weiden, Alan Yuille
NIPS, 2009
Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition using Knowledge Propagation
Yuanhao Chen, Long (Leo) Zhu, Alan Yuille, Hongjiang Zhang
TPAMI, 2009
Classification of Spatially Unaligned fMRI Scans
Ariana Anderson, Ivo Dinov, Jonathan Sherin, Javier Quintana, Alan Yuille, Mark Cohen
NeuroImage, 2009
Motion Integration Using Competitive Priors
Shuang Wu, Hongjing Lu, Alan Lee, Alan Yuille
Statistical and Geometrical Approaches to Visual Motion Analysis. Spinger-Verlag Lecture Notes in Computer Science 5604, 2009
Statistical and Geometrical Approaches to Visual Motion Analysis
Daniel Cremers, Bodo Rosenhahn, Alan Yuille, Frank Schmidt
Spinger-Verlag Lecture Notes in Computer Science 5604, 2009
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
Long (Leo) Zhu, Yuanhao Chen, Alan Yuille
TPAMI, 2009
Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories
Long (Leo) Zhu, Yuanhao Chen, Alan Yuille
TPAMI, 2009
2008
Recursive Segmentation and Recognition Templates for 2D Parsing
Long (Leo) Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan Yuille
NIPS, 2008
Model selection and velocity estimation using novel priors for motion patterns
Shuang Wu, Hongjing Lu, Alan Yuille
NIPS, 2008
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Long (Leo) Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan Yuille
NIPS, 2008
Bayesian Generic Priors for Causal Learning
Hongjing Lu, Alan Yuille, Mimi Liljeholm, Patricia Cheng, Keith Holyoak
Psychological Review, 2008
Sequential Causal Learning in Humans and Rats
Hongjing Lu, Randall Rojas, Tom Beckers, Alan Yuille
Annual Conference of the Cognitive Science Society, 2008
Structure-Perceptron Learning of a Hierarchical Log-Linear Model
Long (Leo) Zhu, Yuanhao Chen, Xingyao Ye, Alan Yuille
CVPR, 2008
Max Margin AND/OR Graph Learning for Parsing the Human Body
Long (Leo) Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan Yuille
CVPR, 2008
Graph-Shifts: Natural Image Labeling by Dynamic Hierarchical Computing
Jason Corso, Alan Yuille, Zhuowen Tu
CVPR, 2008
Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition
Yuanhao Chen, Long (Leo) Zhu, Alan Yuille, Hongjiang Zhang
CVPR, 2008
Efficient Multilevel Brain Tumor Segmentation with Integrated Bayesian Model Classification
Jason Corso, Eitan Sharon, Shishir Dube, Suzie El-Saden, Usha Sinha, Alan Yuille
IEEE TMI, 2008
Technical Introduction: A primer on probabilistic inference
Thomas Griffiths, Alan Yuille
M.Oaksford and N. Chater (Eds.). The probabilistic mind: Prospects for rational models of cognition, 2008
MRF Labeling with a Graph-Shifts Algorithm
Jason Corso, Zhuowen Tu, Alan Yuille
International Workshop on Combinatorial Image Analysis, 2008
Shape matching and registration by data-driven EM
Zhuowen Tu, Songfeng Zheng, Alan Yuille
CVIU, 2008
Hierarchical Segmentation of Malignant Gliomas via Integrated Contextual Filter Response
Shishir Dube, Jason Corso, Alan Yuille, Timothy Cloughesy, Suzie El-Saden, Usha Sinha
Proceedings of the SPIE, 2008
2007
Rapid Inference on a novel AND/OR graph: Detection, Segmentation and Parsing of Articulated Deformable Objects in Cluttered Backgrounds
L. Zhu, Y. Chen, C. Lin, A.L. Yuille
NIPS, 2007
The noisy-logical distribution and its application to causal inference
A.L. Yuille, H.J. Lu
NIPS, 2007
Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm
J. Corso, A.L. Yuille, N. Sicotte, A. Toga
MICCAI, 2007
Energy Minimization Methods in Computer Vision and Pattern Recognition
A. L. Yuille, S. C. Zhu, D. Cremers, Y. Wang (Eds)
EMMCVPR, 2007
Bayesian models of judgments of causal strength: A comparison
H.J. Lu, A.L Yuille, M. Liljeholm, P.W. Cheng, and K.J. Holyoak
Proceedings of the 29th Annual Conference of the Cognitive Science Society, 2007
Segmentation of Sub-Cortical Structures by the Graph-Shifts Algorithm
J. J. Corso, Z. Tu, A. Yuille, A. W. Toga
Proceedings of Information Processing in Medical Imaging, 2007
Detecting Object Boundaries Using Low-, Mid-, and High-level Information
S.F. Zheng, Z. Tu, A. L. Yuille
CVPR, 2007
Automated Extraction of the Cortical Sulci Based. on a Supervised Learning Approach
Z. Tu, S.F. Zheng, A.L. Yuille, A.L. Reiss, R.A. Dutton, A.D. Lee, A.M. Galaburda, I. Dinov, P.M. Thompson, A.W. Toga
IEEE Transactions on Medical Imaging Vol. 26. No. 4. pp. 541-552. April 2007., 2007
Efficient Coding of Visual Scenes by Grouping and Segmentation: Theoretical Principles and Biological Evidence In the Bayesian Brain: Probabilistic Approaches to Neural Coding
T.S. Lee, A.L. Yuille
Ed. K. Doya, S. Ishii, A. Pouget, and R.P.N. Rao. MIT Press. pp 145-188. January 2007., 2007
2006
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing
Long Zhu, Yuanhao Chen, Alan Yuille
NIPS, 2006
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
Songfeng Zheng, Zhuowen Tu, Alan Yuille, Allan Reiss, Rebecca Dutton, Agatha Lee, Albert Galaburda, Paul Thompson, Ivo Dinov, Arthur Toga
MICCAI, 2006
Image Parsing: Unifying Segmentation, Detection, and Recognition
Zhuowen Tu, Xiangrong Chen, Alan Yuille, Song Chun Zhu
In Towards Category-Level Object Recognition. Eds. J. Ponce, M. Hebert, C. Schmid, A. Zisserman. Springer LNCS 4170, pp 545-576, 2006
Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation
Jason J. Corso, Eitan Sharon, Alan Yuille
MICCAI, 2006
Vision as Bayesian Inference: Analysis by Synthesis?
Alan Yuille, Daniel Kersten
In Trends in Cognitive Neuroscience, vol. 10, no. 7, pp. 301-308., 2006
The Perceived Motion of A Stereokinetic Stimulus
Bas Rokers, Alan Yuille, Zili Liu
Vision Research, vol. 46, no. 15, pp. 2375-87., 2006
Modeling Causal Learning Using Bayesian Generic Priors on Generative and Preventive Powers
Hongjing Lu, Alan Yuille, Mimi Liljeholm, Patricia W. Cheng, Keith J. Holyoak
In Proceedings of the 28th Annual Conference of the Cognitive Science Society, 2006
A Primer on Probabilistic Inference
Thomas L. Griffiths, Alan Yuille
In Trends in Cognitive Sciences. Supplement to special issue on Probabilistic Models of Cognition, vol 10, no. 7., 2006
Probabilistic models of cognition: Where next?
Nick Chater, Joshua Tenenbaum, Alan Yuille
In Trends in Cognitive Neuroscience, vol. 10, no. 7, pp. 292-293., 2006
Probabilistic Models of Cognition: Conceptual Foundations
Nick Chater, Joshua Tenenbaum, Alan Yuille
In Trends in Cognitive Neuroscience, vol. 10, no. 7, pp. 287-291., 2006
Bottom-Up and Top-Down Object Detection using Primal Sketch Features and Graphical Models
Iasonas Kokkinos, Petros Maragon, Alan Yuille
CVPR, 2006
2005
Ideal Observers for Detecting Human Motion: Correspondence Noise
Hongjing Lu, Alan Yuille
NIPS, 2005
The DLR Hierarchy of Approximate Inference
Michal Rosen-Zvi, Michael I. Jordan, Alan Yuille
UAI, 2005
Image Parsing: Unifying Segmentation, Detection, and Recognition
Zhuowen Tu, Xiangrong Chen, Alan Yuille, and Song-Chun Zhu
IJCV, vol. 63, no. 2, pp. 113-140., 2005
A Time-Efficient Cascade for Real-Time Object Detection: With applications for the visually impaired
Xiangrong Chen, Alan Yuille
CVPR Workshop on Computer Vision Applications for the Visually Impaired, 2005
2004
The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters
Alan Yuille
NIPS, 2004
Object Perception as Bayesian Inference
Daniel Kersten, Pascal Mamassian, Alan Yuille
Annual Review of Psychology, 2004
AdaBoost Learning for Detecting and Reading Text in City Scenes
Xiangrong Chen, Alan Yuille
CVPR, 2004
Shape Matching and Recognition: Using Generative Models and Informative Features
Zhuowen Tu, Alan Yuille
ECCV, 2004
2003
Human and Ideal Observers for Detecting Image Curves
Alan Yuille, Fang Fang, Paul Schrater, Dan Kersten
NIPS, 2003
Image Parsing: Segmentation, Detection, and Recognition
Zhuowen Tu, Alex Chen, Alan Yuille, Song-Chun Zhu
ICCV, 2003
A Bayesian Network for Relational Shape Matching
Anand Rangarajan, James Coughlan, Alan Yuille
ICCV, 2003
A Generative Model Based Approach to Motion Segmentation
Daniel Cremers, Alan Yuille
German Conference on Pattern Recognition (GCPR), 2003
The Generic Viewpoint Assumption and Planar Bias
Alan Yuille, James Coughlan, Scott Konishi
TPAMI, 2003
The KGBR Viewpoint-Lighting Ambiguity
Alan Yuille, James Coughlan, Scott Konishi
Journal of the American Optical Society, 2003
Statistical Edge Detection: Learning and Evaluating Edge Cues
Scott Konishi, Alan Yuille, James Coughlani, Song-Chun Zhu
TPAMI, 2003
A Statistical Approach to Multi-Scale Edge Detection
Scott Konishi, Alan Yuille, James Coughlan
IVC, 2003
A Large Deviation Theory Analysis of Bayesian Tree Search
James Coughlan, Alan Yuille
Mathematical Methods in Computer Vision, 2003
Algorithms from Statistical Physics for Generative Models of Images
James Coughlan, Alan Yuille
IVC, 2003