Alan L. Yuille
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
345
Venues
23
Active years
1983–2025
Best venue rank
A*
Where they publish
- A*CVPR126 papers
- A*ICCV48 papers
- A*ECCV48 papers
- A*ICLR20 papers
- A*AAAI13 papers
- ABMVC8 papers
- A*ICML6 papers
- AMICCAI6 papers
- BCogSci5 papers
- BICIP3 papers
- A*IJCAI3 papers
- BICPR3 papers
- AEACL1 paper
- UnrankedCoRL1 paper
- NationalCISS1 paper
- AIROS1 paper
- A*EMNLP1 paper
- CISCAS1 paper
- AICDAR1 paper
- CIWCIA1 paper
- NationalICIAP1 paper
- A*ICRA1 paper
- AECAI1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference. | Prakhar Kaushik, Ankit Vaidya, Shravan Chaudhari, Alan L. Yuille |
| 2025 | CVPR | Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution. | Qihao Liu, Xi Yin, Alan L. Yuille, Andrew Brown, Mannat Singh |
| 2025 | CVPR | SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models. | Wufei Ma, Luoxin Ye, Celso M. de Melo, Alan L. Yuille, Jieneng Chen |
| 2025 | CVPR | Mamba-Reg: Vision Mamba Also Needs Registers. | Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie |
| 2025 | CVPR | Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Mutimodal Models. | Xingrui Wang, Wufei Ma, Tiezheng Zhang, Celso M. de Melo, Jieneng Chen, Alan L. Yuille |
| 2025 | CVPR | 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 L. Yuille, Cihang Xie |
| 2025 | ICCV | RadGPT: Constructing 3D Image-Text Tumor Datasets. | Pedro R. A. S. Bassi, Mehmet Can Yavuz, Ibrahim Ethem Hamamci, Sezgin Er, Xiaoxi Chen, Wenxuan Li, Bjoern Menze, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou |
| 2025 | ICCV | 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, Yulun Zhang, Xiaokang Yang, Zhe Lin, Alan L. Yuille |
| 2025 | ICCV | Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data. | Qi Chen, Xinze Zhou, Chen Liu, Hao Chen, Wenxuan Li, Zekun Jiang, Ziyan Huang, Yuxuan Zhao, Dexin Yu, Junjun He, Yefeng Zheng, Ling Shao, Alan L. Yuille, Zongwei Zhou |
| 2025 | ICCV | 3DSRBENCH: A Comprehensive 3D Spatial Reasoning Benchmark. | Wufei Ma, Haoyu Chen, Guofeng Zhang, Yu-Cheng Chou, Jieneng Chen, Celso de Melo, Alan L. Yuille |
| 2025 | ICCV | Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation. | Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen |
| 2025 | ICCV | Videoauteur: Towards Long Narrative Video Generation. | Junfei Xiao, Feng Cheng, Lu Qi, Liangke Gui, Yang Zhao, Shanchuan Lin, Jiepeng Cen, Zhibei Ma, Alan L. Yuille, Lu Jiang |
| 2025 | ICCV | Medical World Model. | Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shuwen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan L. Yuille, Lei Zhu, Yu-Dong Zhang, Jieneng Chen |
| 2025 | ICCV | Scaling 3D Compositional Models for Robust Classification and Pose Estimation. | Xiaoding Yuan, Guofeng Zhang, Prakhar Kaushik, Artur Jesslen, Adam Kortylewski, Alan L. Yuille |
| 2025 | ICLR | GenEx: Generating an Explorable World. | Taiming Lu, Tianmin Shu, Alan L. Yuille, Daniel Khashabi, Jieneng Chen |
| 2025 | ICLR | 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 L. Yuille, Cihang Xie |
| 2025 | ICLR | Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering. | Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan L. Yuille |
| 2025 | ICML | Scaling Laws in Patchification: An Image Is Worth 50, 176 Tokens And More. | Feng Wang, Yaodong Yu, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie |
| 2025 | ICML | FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching. | Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen |
| 2025 | MICCAI | Learning Segmentation from Radiology Reports. | Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianyu Lin, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou |
| 2025 | MICCAI | CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding. | Yixiong Chen, Shawn Xu, Andrew Sellergren, Yossi Matias, Avinatan Hassidim, Shravya Shetty, Daniel Golden, Alan L. Yuille, Lin Yang |
| 2024 | AAAI | HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction. | Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan L. Yuille, Tony Tung |
| 2024 | CVPR | De-Diffusion Makes Text a Strong Cross-Modal Interface. | Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan L. Yuille, Jiahui Yu |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Structure-Aware Sparse-View X-Ray 3D Reconstruction. | Yuanhao Cai, Jiahao Wang, Alan L. Yuille, Zongwei Zhou, Angtian Wang |
| 2024 | CVPR | Towards Generalizable Tumor Synthesis. | Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan L. Yuille, Chen Wei, Zongwei Zhou |
| 2024 | CVPR | ViTamin: Designing Scalable Vision Models in the Vision-Language Era. | Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen |
| 2024 | CVPR | A Bayesian Approach to OOD Robustness in Image Classification. | Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille |
| 2024 | CVPR | NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. | Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, lvaro Garca, Jaeho Lee, Seongwan Kim, S. M. A. Sharif, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng |
| 2024 | CVPR | DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. | Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille |
| 2024 | CVPR | Benchmarking Robustness in Neural Radiance Fields. | Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie |
| 2024 | CVPR | Masked Autoencoders are Secretly Efficient Learners. | Zihao Wei, Chen Wei, Jieru Mei, Yutong Bai, Zeyu Wang, Xianhang Li, Hongru Zhu, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2024 | CVPR | Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-Modal Language Models. | Shitian Zhao, Zhuowan Li, Yadong Lu, Alan L. Yuille, Yan Wang |
| 2024 | EACL | Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. | Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille |
| 2024 | ECCV | 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 L. Yuille |
| 2024 | ECCV | iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. | Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg |
| 2024 | ECCV | NOVUM: Neural Object Volumes for Robust Object Classification. | Artur Jesslen, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski |
| 2024 | ECCV | Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data. | Wufei Ma, Kai Li, Zhongshi Jiang, Moustafa Meshry, Qihao Liu, Huiyu Wang, Christian Hne, Alan L. Yuille |
| 2024 | ECCV | SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference. | Feng Wang, Jieru Mei, Alan L. Yuille |
| 2024 | ECCV | 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, Bingchen Zhao, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2024 | ECCV | From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation. | Yunfei Xie, Cihang Xie, Alan L. Yuille, Jieru Mei |
| 2024 | ECCV | IG Captioner: Information Gain Captioners Are Strong Zero-Shot Classifiers. | Chenglin Yang, Siyuan Qiao, Yuan Cao, Yu Zhang, Tao Zhu, Alan L. Yuille, Jiahui Yu |
| 2024 | ICLR | Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. | Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille |
| 2024 | ICLR | Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search. | Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille |
| 2024 | ICLR | How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? | Wenxuan Li, Alan L. Yuille, Zongwei Zhou |
| 2024 | ICLR | 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 L. Yuille |
| 2024 | ICML | Rejuvenating image-GPT as Strong Visual Representation Learners. | Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie |
| 2024 | MICCAI | Embracing Massive Medical Data. | Yu-Cheng Chou, Zongwei Zhou, Alan L. Yuille |
| 2023 | CVPR | Masked Autoencoders Enable Efficient Knowledge Distillers. | Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2023 | CVPR | Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation. | Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille |
| 2023 | CVPR | Label-Free Liver Tumor Segmentation. | Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou |
| 2023 | CVPR | Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline. | Wei Ji, Jingjing Li, Cheng Bian, Zongwei Zhou, Jiaying Zhao, Alan L. Yuille, Li Cheng |
| 2023 | CVPR | PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. | Qihao Liu, Adam Kortylewski, Alan L. Yuille |
| 2023 | CVPR | InstMove: Instance Motion for Object-centric Video Segmentation. | Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan L. Yuille, Song Bai |
| 2023 | CVPR | 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 |
| 2023 | CVPR | SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection. | Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou |
| 2023 | ICCV | Diffusion Models as Masked Autoencoders. | Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer |
| 2023 | ICCV | 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 L. Yuille, Zaiyi Liu, Ling Zhang |
| 2023 | ICCV | SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. | Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie |
| 2023 | ICCV | CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. | Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou |
| 2023 | ICCV | Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. | Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan L. Yuille, Adam Kortylewski |
| 2023 | ICCV | 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. | Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille |
| 2023 | ICLR | Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks. | Yixiong Chen, Alan L. Yuille, Zongwei Zhou |
| 2023 | ICLR | VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. | Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille |
| 2023 | ICLR | MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. | Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen |
| 2022 | CoRL | Learning Road Scene-level Representations via Semantic Region Prediction. | Zihao Xiao, Alan L. Yuille, Yi-Ting Chen |
| 2022 | CVPR | Masked Feature Prediction for Self-Supervised Visual Pre-Training. | Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer |
| 2022 | CVPR | 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 L. Yuille |
| 2022 | CVPR | Point-Level Region Contrast for Object Detection Pre-Training. | Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan L. Yuille, Alexander C. Berg |
| 2022 | CVPR | TransMix: Attend to Mix for Vision Transformers. | Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai |
| 2022 | CVPR | 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 L. Yuille |
| 2022 | CVPR | DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. | Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan |
| 2022 | CVPR | A Simple Data Mixing Prior for Improving Self-Supervised Learning. | Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2022 | CVPR | Simulated Adversarial Testing of Face Recognition Models. | Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff |
| 2022 | CVPR | Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model. | Yihong Sun, Adam Kortylewski, Alan L. Yuille |
| 2022 | CVPR | Learning from Temporal Gradient for Semi-supervised Action Recognition. | Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li |
| 2022 | CVPR | Lite Vision Transformer with Enhanced Self-Attention. | Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan L. Yuille |
| 2022 | CVPR | CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. | Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2022 | ECCV | Context-Enhanced Stereo Transformer. | Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan L. Yuille, Yingwei Li |
| 2022 | ECCV | PartImageNet: A Large, High-Quality Dataset of Parts. | Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan L. Yuille |
| 2022 | ECCV | Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation. | Qihao Liu, Yi Zhang, Song Bai, Alan L. Yuille |
| 2022 | ECCV | In Defense of Image Pre-Training for Spatiotemporal Recognition. | Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2022 | ECCV | Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features. | Wufei Ma, Angtian Wang, Alan L. Yuille, Adam Kortylewski |
| 2022 | ECCV | CP | Feng Wang, Huiyu Wang, Chen Wei, Alan L. Yuille, Wei Shen |
| 2022 | ECCV | In Defense of Online Models for Video Instance Segmentation. | Junfeng Wu, Qihao Liu, Yi Jiang, Song Bai, Alan L. Yuille, Xiang Bai |
| 2022 | ECCV | Coarse-To-Fine Incremental Few-Shot Learning. | Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan L. Yuille, Gregory D. Hager |
| 2022 | ECCV | k-means Mask Transformer. | Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2022 | ECCV | 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 L. Yuille, Adam Kortylewski |
| 2022 | ICLR | Fast AdvProp. | Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie |
| 2022 | ICLR | Image BERT Pre-training with Online Tokenizer. | Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong |
| 2021 | AAAI | DASZL: Dynamic Action Signatures for Zero-shot Learning. | Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager |
| 2021 | AAAI | CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. | Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille |
| 2021 | BMVC | Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. | Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille |
| 2021 | CISS | Compositional Generative Networks and Robustness to Perceptible Image Changes. | Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan L. Yuille |
| 2021 | CogSci | Visual Analogy: Deep Learning Versus Compositional Models. | Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu |
| 2021 | CogSci | Three-dimensional pose discrimination in natural images of humans. | Hongru Zhu, Alan L. Yuille, Daniel J. Kersten |
| 2021 | CVPR | Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. | Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang |
| 2021 | CVPR | Deeply Shape-Guided Cascade for Instance Segmentation. | Hao Ding, Siyuan Qiao, Alan L. Yuille, Wei Shen |
| 2021 | CVPR | Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement. | Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao |
| 2021 | CVPR | Self-Supervised Pillar Motion Learning for Autonomous Driving. | Chenxu Luo, Xiaodong Yang, Alan L. Yuille |
| 2021 | CVPR | DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution. | Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille |
| 2021 | CVPR | VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. | Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2021 | CVPR | MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. | Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2021 | CVPR | CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. | Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang |
| 2021 | CVPR | Mask Guided Matting via Progressive Refinement Network. | Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille |
| 2021 | CVPR | Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion. | Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille |
| 2021 | ICCV | 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 L. Yuille |
| 2021 | ICCV | Exploring Simple 3D Multi-Object Tracking for Autonomous Driving. | Chenxu Luo, Xiaodong Yang, Alan L. Yuille |
| 2021 | ICCV | A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. | Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang |
| 2021 | ICLR | CO2: Consistent Contrast for Unsupervised Visual Representation Learning. | Chen Wei, Huiyu Wang, Wei Shen, Alan L. Yuille |
| 2021 | ICLR | Shape-Texture Debiased Neural Network Training. | Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie |
| 2021 | ICLR | NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. | Angtian Wang, Adam Kortylewski, Alan L. Yuille |
| 2021 | MICCAI | Sequential Learning on Liver 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, Le Lu |
| 2020 | AAAI | Learning Transferable Adversarial Examples via Ghost Networks. | Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille |
| 2020 | AAAI | Identifying Model Weakness with Adversarial Examiner. | Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille |
| 2020 | AAAI | When Radiology Report Generation Meets Knowledge Graph. | Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu |
| 2020 | BMVC | ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. | Hanwen Cao, Yongyi Lu, Bo Pang, Cewu Lu, Alan L. Yuille, Gongshen Liu |
| 2020 | CVPR | Universal Physical Camouflage Attacks on Object Detectors. | Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L. Yuille, Changqing Zou, Ning Liu |
| 2020 | CVPR | Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. | Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille |
| 2020 | CVPR | 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 L. Yuille |
| 2020 | CVPR | Context-Aware Group Captioning via Self-Attention and Contrastive Features. | Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille |
| 2020 | CVPR | Identity Preserve Transform: Understand What Activity Classification Models Have Learnt. | Jialing Lyu, Weichao Qiu, Alan L. Yuille |
| 2020 | CVPR | Learning From Synthetic Animals. | Jiteng Mu, Weichao Qiu, Gregory D. Hager, Alan L. Yuille |
| 2020 | CVPR | Robust Object Detection Under Occlusion With Context-Aware CompositionalNets. | Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille |
| 2020 | CVPR | Deep Distance Transform for Tubular Structure Segmentation in CT Scans. | Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille |
| 2020 | CVPR | Adversarial Examples Improve Image Recognition. | Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le |
| 2020 | CVPR | C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. | Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu |
| 2020 | ECCV | Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots. | Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan L. Yuille |
| 2020 | ECCV | Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. | Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille |
| 2020 | ECCV | JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. | Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison |
| 2020 | ECCV | Are Labels Necessary for Neural Architecture Search? | Chenxi Liu, Piotr Dollr, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie |
| 2020 | ECCV | Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. | Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2020 | ECCV | TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion. | Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille |
| 2020 | ECCV | Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation. | Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille |
| 2020 | ECCV | PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning. | Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille |
| 2020 | ICLR | AtomNAS: Fine-Grained End-to-End Neural Architecture Search. | Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan L. Yuille, Jianchao Yang |
| 2020 | ICLR | Intriguing Properties of Adversarial Training at Scale. | Cihang Xie, Alan L. Yuille |
| 2020 | IROS | Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles. | Chenxu Luo, Lin Sun, Dariush Dabiri, Alan L. Yuille |
| 2020 | MICCAI | 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 P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin |
| 2019 | AAAI | Learning Basis Representation to Refine 3D Human Pose Estimations. | Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng |
| 2019 | AAAI | Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students. | Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille |
| 2019 | CogSci | Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems. | Hongjing Lu, Qing Liu, Nicholas Ichien, Alan L. Yuille, Keith J. Holyoak |
| 2019 | CogSci | Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. | Hongru Zhu, Peng Tang, Alan L. Yuille, Soojin Park, Jeongho Park |
| 2019 | CVPR | NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction. | Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille |
| 2019 | CVPR | Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. | Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei |
| 2019 | CVPR | CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions. | Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille |
| 2019 | CVPR | Elastic Boundary Projection for 3D Medical Image Segmentation. | Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille |
| 2019 | CVPR | Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. | Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille |
| 2019 | CVPR | ELASTIC: Improving CNNs With Dynamic Scaling Policies. | Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari |
| 2019 | CVPR | Patch-based 3D Human Pose Refinement. | Qingfu Wan, Weichao Qiu, Alan L. Yuille |
| 2019 | CVPR | 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 L. Yuille |
| 2019 | CVPR | Feature Denoising for Improving Adversarial Robustness. | Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He |
| 2019 | CVPR | Improving Transferability of Adversarial Examples With Input Diversity. | Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan L. Yuille |
| 2019 | CVPR | Snapshot Distillation: Teacher-Student Optimization in One Generation. | Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille |
| 2019 | CVPR | Adversarial Attacks Beyond the Image Space. | Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille |
| 2019 | CVPR | CRAVES: Controlling Robotic Arm With a Vision-Based Economic System. | Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille |
| 2019 | ICCV | Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval. | Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille |
| 2019 | ICCV | Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data. | Yutong Bai, Qing Liu, Lingxi Xie, Yan Zheng, Weichao Qiu, Alan L. Yuille |
| 2019 | ICCV | An Alarm System for Segmentation Algorithm Based on Shape Model. | Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu |
| 2019 | ICCV | Grouped Spatial-Temporal Aggregation for Efficient Action Recognition. | Chenxu Luo, Alan L. Yuille |
| 2019 | ICCV | Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. | Yuyin Zhou, Zhe Li, Song Bai, Xinlei Chen, Mei Han, Chong Wang, Elliot K. Fishman, Alan L. Yuille |
| 2019 | ICLR | Structured Prediction using cGANs with Fusion Discriminator. | Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille |
| 2018 | BMVC | SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data. | Qi Chen, Weichao Qiu, Yi Zhang, Lingxi Xie, Alan L. Yuille |
| 2018 | BMVC | OriNet: A Fully Convolutional Network for 3D Human Pose Estimation. | Chenxu Luo, Xiao Chu, Alan L. Yuille |
| 2018 | CVPR | Deep Regression Forests for Age Estimation. | Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille |
| 2018 | CVPR | Few-Shot Image Recognition by Predicting Parameters From Activations. | Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille |
| 2018 | CVPR | 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 |
| 2018 | CVPR | Single-Shot Object Detection With Enriched Semantics. | Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille |
| 2018 | CVPR | DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion. | Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille |
| 2018 | ECCV | Progressive Neural Architecture Search. | Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy |
| 2018 | ECCV | Deep Co-Training for Semi-Supervised Image Recognition. | Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan L. Yuille |
| 2018 | ECCV | Weakly Supervised Region Proposal Network and Object Detection. | Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille |
| 2018 | ECCV | Multi-scale Spatially-Asymmetric Recalibration for Image Classification. | Yan Wang, Lingxi Xie, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Alan L. Yuille |
| 2018 | EMNLP | PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution. | Hong Chen, Zhenhua Fan, Hao Lu, Alan L. Yuille, Shu Rong |
| 2018 | ICLR | Mitigating Adversarial Effects Through Randomization. | Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille |
| 2018 | ICML | Gradually Updated Neural Networks for Large-Scale Image Recognition. | Siyuan Qiao, Zhishuai Zhang, Wei Shen, Bo Wang, Alan L. Yuille |
| 2018 | ISCAS | Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation. | Jinhang Choi, Kevin M. Irick, Justin Hardin, Weichao Qiu, Alan L. Yuille, Jack Sampson, Vijaykrishnan Narayanan |
| 2017 | AAAI | Attention Correctness in Neural Image Captioning. | Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille |
| 2017 | BMVC | Multiple Instance Visual-Semantic Embedding. | Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan L. Yuille |
| 2017 | BMVC | Detecting Semantic Parts on Partially Occluded Objects. | Jianyu Wang, Zhishuai Zhang, Cihang Xie, Jun Zhu, Lingxi Xie, Alan L. Yuille |
| 2017 | BMVC | Exploiting Protrusion Cues for Fast and Effective Shape Modeling via Ellipses. | Alex Wong, Alan L. Yuille, Brian Taylor |
| 2017 | CVPR | Multi-context Attention for Human Pose Estimation. | Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang |
| 2017 | CVPR | Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images. | Yuan Gao, Alan L. Yuille |
| 2017 | CVPR | Joint Multi-person Pose Estimation and Semantic Part Segmentation. | Fangting Xia, Peng Wang, Xianjie Chen, Alan L. Yuille |
| 2017 | ICCV | Recurrent Multimodal Interaction for Referring Image Segmentation. | Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan L. Yuille |
| 2017 | ICCV | ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. | Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan L. Yuille |
| 2017 | ICCV | Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection. | Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan L. Yuille |
| 2017 | ICCV | SORT: Second-Order Response Transform for Visual Recognition. | Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian, Alan L. Yuille |
| 2017 | ICCV | Adversarial Examples for Semantic Segmentation and Object Detection. | Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan L. Yuille |
| 2017 | ICCV | Genetic CNN. | Lingxi Xie, Alan L. Yuille |
| 2017 | ICIP | 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 |
| 2017 | ICLR | Transfer of View-manifold Learning to Similarity Perception of Novel Objects. | Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan L. Yuille, Tai Sing Lee |
| 2017 | IJCAI | MAT: A Multimodal Attentive Translator for Image Captioning. | Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan L. Yuille |
| 2017 | IJCAI | Object Recognition with and without Objects. | Zhuotun Zhu, Lingxi Xie, Alan L. Yuille |
| 2016 | AAAI | Recognizing Actions in 3D Using Action-Snippets and Activated Simplices. | Chunyu Wang, John Flynn, Yizhou Wang, Alan L. Yuille |
| 2016 | AAAI | Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features. | Fangting Xia, Jun Zhu, Peng Wang, Alan L. Yuille |
| 2016 | CVPR | 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 L. Yuille |
| 2016 | CVPR | Attention to Scale: Scale-Aware Semantic Image Segmentation. | Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille |
| 2016 | CVPR | Generation and Comprehension of Unambiguous Object Descriptions. | Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy |
| 2016 | CVPR | Mining 3D Key-Pose-Motifs for Action Recognition. | Chunyu Wang, Yizhou Wang, Alan L. Yuille |
| 2016 | CVPR | InterActive: Inter-Layer Activeness Propagation. | Lingxi Xie, Liang Zheng, Jingdong Wang, Alan L. Yuille, Qi Tian |
| 2016 | ECCV | Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation. | Yuan Gao, Alan L. Yuille |
| 2016 | ECCV | UnrealCV: Connecting Computer Vision to Unreal Engine. | Weichao Qiu, Alan L. Yuille |
| 2016 | ECCV | DOC: Deep OCclusion Estimation from a Single Image. | Peng Wang, Alan L. Yuille |
| 2016 | ECCV | Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net. | Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille |
| 2016 | ECCV | Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons. | Lingxi Xie, Qi Tian, John Flynn, Jingdong Wang, Alan L. Yuille |
| 2015 | CogSci | A Computational Model of Jazz Improvisation Inspired by Language. | Cody Komers, Alan L. Yuille |
| 2015 | CVPR | Parsing occluded people by flexible compositions. | Xianjie Chen, Alan L. Yuille |
| 2015 | CVPR | Region-based temporally consistent video post-processing. | Xuan Dong, Boyan Bonev, Yu Zhu, Alan L. Yuille |
| 2015 | CVPR | Towards unified depth and semantic prediction from a single image. | Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian L. Price, Alan L. Yuille |
| 2015 | CVPR | Semantic part segmentation using compositional model combining shape and appearance. | Jianyu Wang, Alan L. Yuille |
| 2015 | CVPR | Modeling deformable gradient compositions for single-image super-resolution. | Yu Zhu, Yanning Zhang, Boyan Bonev, Alan L. Yuille |
| 2015 | ICCV | Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. | Junhua Mao, Xu Wei, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille |
| 2015 | ICCV | Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation. | George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille |
| 2015 | ICCV | Scene-Domain Active Part Models for Object Representation. | Zhou Ren, Chaohui Wang, Alan L. Yuille |
| 2015 | ICCV | Joint Object and Part Segmentation Using Deep Learned Potentials. | Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian L. Price, Alan L. Yuille |
| 2015 | ICCV | One Shot Learning via Compositions of Meaningful Patches. | Alex Wong, Alan L. Yuille |
| 2015 | ICML | Learning Deep Structured Models. | Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun |
| 2014 | BMVC | Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency. | Wenhao Lu, Xiaochen Lian, Alan L. Yuille |
| 2014 | CVPR | 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 L. Yuille |
| 2014 | CVPR | The Secrets of Salient Object Segmentation. | Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille |
| 2014 | CVPR | 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 L. Yuille |
| 2014 | CVPR | Modeling Image Patches with a Generic Dictionary of Mini-epitomes. | George Papandreou, Liang-Chieh Chen, Alan L. Yuille |
| 2014 | CVPR | Robust Estimation of 3D Human Poses from a Single Image. | Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille, Wen Gao |
| 2014 | CVPR | Single Image Super-resolution Using Deformable Patches. | Yu Zhu, Yanning Zhang, Alan L. Yuille |
| 2014 | ECCV | A Fast and Simple Algorithm for Producing Candidate Regions. | Boyan Bonev, Alan L. Yuille |
| 2014 | ECCV | Towards Unified Object Detection and Semantic Segmentation. | Jian Dong, Qiang Chen, Shuicheng Yan, Alan L. Yuille |
| 2014 | ECCV | An Active Patch Model for Real World Texture and Appearance Classification. | Junhua Mao, Jun Zhu, Alan L. Yuille |
| 2013 | CVPR | Bottom-Up Segmentation for Top-Down Detection. | Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, Raquel Urtasun |
| 2013 | CVPR | Boundary Detection Benchmarking: Beyond F-Measures. | Xiaodi Hou, Alan L. Yuille, Christof Koch |
| 2013 | CVPR | Robust Region Grouping via Internal Patch Statistics. | Xiaobai Liu, Liang Lin, Alan L. Yuille |
| 2013 | CVPR | Robust Estimation of Nonrigid Transformation for Point Set Registration. | Jiayi Ma, Ji Zhao, Jinwen Tian, Zhuowen Tu, Alan L. Yuille |
| 2013 | CVPR | An Approach to Pose-Based Action Recognition. | Chunyu Wang, Yizhou Wang, Alan L. Yuille |
| 2013 | ICCV | Learning a Dictionary of Shape Epitomes with Applications to Image Labeling. | Liang-Chieh Chen, George Papandreou, Alan L. Yuille |
| 2011 | ICCV | Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models. | George Papandreou, Alan L. Yuille |
| 2011 | ICDAR | AdaBoost for Text Detection in Natural Scene. | Jung-Jin Lee, Pyoung-Hean Lee, Seong-Whan Lee, Alan L. Yuille, Christof Koch |
| 2010 | CVPR | Part and appearance sharing: Recursive Compositional Models for multi-view. | Long Zhu, Yuanhao Chen, Antonio Torralba, William T. Freeman, Alan L. Yuille |
| 2010 | CVPR | Latent hierarchical structural learning for object detection. | Long Zhu, Yuanhao Chen, Alan L. Yuille, William T. Freeman |
| 2010 | ECCV | Active Mask Hierarchies for Object Detection. | Yuanhao Chen, Long Zhu, Alan L. Yuille |
| 2010 | ECCV | Occlusion Boundary Detection Using Pseudo-depth. | Xuming He, Alan L. Yuille |
| 2009 | CVPR | HOP: Hierarchical object parsing. | Iasonas Kokkinos, Alan L. Yuille |
| 2009 | CVPR | Inference and learning with hierarchical compositional models. | Iasonas Kokkinos, Alan L. Yuille |
| 2009 | CVPR | Recursive compositional models: Representation, learning, and inference. | Long Zhu, Alan L. Yuille |
| 2009 | ICML | Compositional noisy-logical learning. | Alan L. Yuille, Songfeng Zheng |
| 2008 | CVPR | Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition. | Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang Zhang |
| 2008 | CVPR | Graph-shifts: Natural image labeling by dynamic hierarchical computing. | Jason J. Corso, Alan L. Yuille, Zhuowen Tu |
| 2008 | CVPR | Scale invariance without scale selection. | Iasonas Kokkinos, Alan L. Yuille |
| 2008 | CVPR | Max Margin AND/OR Graph learning for parsing the human body. | Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan L. Yuille |
| 2008 | CVPR | Structure-perceptron learning of a hierarchical log-linear model. | Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille |
| 2008 | ECCV | Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion. | Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan L. Yuille |
| 2008 | IWCIA | MRF Labeling with a Graph-Shifts Algorithm. | Jason J. Corso, Zhuowen Tu, Alan L. Yuille |
| 2007 | CVPR | Detecting Object Boundaries Using Low-, Mid-, and High-level Information. | Songfeng Zheng, Zhuowen Tu, Alan L. Yuille |
| 2007 | ICCV | Unsupervised Learning of Object Deformation Models. | Iasonas Kokkinos, Alan L. Yuille |
| 2006 | CVPR | Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models. | Iasonas Kokkinos, Petros Maragos, Alan L. Yuille |
| 2006 | MICCAI | Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation. | Jason J. Corso, Eitan Sharon, Alan L. Yuille |
| 2005 | CVPR | A Time-Efficient Cascade for Real-Time Object Detection: With applications for the visually impaired. | Xiangrong Chen, Alan L. Yuille |
| 2004 | CVPR | Motion Estimation by Swendsen-Wang Cuts. | Adrian Barbu, Alan L. Yuille |
| 2004 | CVPR | Detecting and Reading Text in Natural Scenes. | Xiangrong Chen, Alan L. Yuille |
| 2004 | ECCV | Shape Matching and Recognition - Using Generative Models and Informative Features. | Zhuowen Tu, Alan L. Yuille |
| 2003 | ICCV | A Bayesian Network Framework for Relational Shape Matching. | Anand Rangarajan, James M. Coughlan, Alan L. Yuille |
| 2003 | ICCV | Image Parsing: Unifying Segmentation, Detection, and Recognition. | Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu |
| 2001 | ICCV | The KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints. | Alan L. Yuille, James M. Coughlan, Scott Konishi |
| 2000 | CVPR | Statistical cues for Domain Specific Image Segmentation with Performance Analysis. | Scott Konishi, Alan L. Yuille |
| 2000 | CVPR | Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help? | Alan L. Yuille, James M. Coughlan, Song Chun Zhu, Ying Nian Wu |
| 1999 | CVPR | Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues. | Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu |
| 1999 | CVPR | High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help? | Alan L. Yuille, James M. Coughlan |
| 1999 | ICCV | Manhattan World: Compass Direction from a Single Image by Bayesian Inference. | James M. Coughlan, Alan L. Yuille |
| 1998 | CVPR | Efficient Optimization of a Deformable Template Using Dynamic Programming. | James M. Coughlan, Alan L. Yuille, Camper English, Daniel Snow |
| 1998 | ICCV | Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence. | Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grzywacz |
| 1998 | ICCV | Signfinder: Using Color to Detect, Localize and Identify Informational Signs. | Alan L. Yuille, Daniel Snow, Mark Nitzberg |
| 1998 | ICPR | Segmenting by seeking the symmetry axis. | Tyng-Luh Liu, Davi Geiger, Alan L. Yuille |
| 1997 | CVPR | The Bas-Relief Ambiguity. | Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille |
| 1997 | CVPR | Surface Shape from Warping. | Alan L. Yuille, Mario Ferraro, Tony Zhang |
| 1997 | CVPR | Shape and albedo from multiple images using integrability. | Alan L. Yuille, Daniel Snow |
| 1997 | ICIAP | Relating Image Warping to 3D Geometrical Deformations. | Alan L. Yuille, Mario Ferraro, Tony Zhang |
| 1996 | ECCV | Learning Object Representation form Lighting Variations. | Russell Epstein, Alan L. Yuille, Peter N. Belhumeur |
| 1995 | ICCV | Recovering Object Surfaces from Viewed Changes in Surface Texture Patterns. | Peter N. Belhumeur, Alan L. Yuille |
| 1995 | ICCV | Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. | Song Chun Zhu, Tai Sing Lee, Alan L. Yuille |
| 1995 | ICCV | FORMS: A Flexible Object Recognition and Modelling System. | Song Chun Zhu, Alan L. Yuille |
| 1995 | ICRA | Parameterized Surface Fitting via MAP Estimation for Binocular Stereo. | Michael J. Weisman, Alan L. Yuille, James J. Clark |
| 1994 | ICIP | Training a General Purpose Deformable Template. | Russell Epstein, Alan L. Yuille |
| 1994 | ICIP | A Framework for Shape Representation and Recognition. | Song Chun Zhu, Alan L. Yuille |
| 1993 | CVPR | Local, global, and multilevel stereo matching. | Yibing Yang, Alan L. Yuille, Jie Lu |
| 1992 | AAAI | Grouping Iso-Velocity Points for Ego-Motion Recovery. | Yibing Yang, Alan L. Yuille |
| 1992 | ECCV | Occlusions and Binocular Stereo. | Davi Geiger, Bruce Ladendorf, Alan L. Yuille |
| 1992 | ECCV | Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model. | Tai Sing Lee, David Mumford, Alan L. Yuille |
| 1991 | CVPR | Sources from shading. | Yihing Yang, Alan L. Yuille |
| 1990 | ECCV | A Model for the Estimate of Local Velocity. | Norberto M. Grzywacz, Alan L. Yuille |
| 1990 | ECCV | Deformable Templates for Feature Extraction from Medical Images. | P. Lipson, Alan L. Yuille, D. O'Keeffe, J. Cavanaugh, J. Taaffe, D. Rosenthal |
| 1990 | ECCV | Stereo Integration, Mean Field Theory and Psychophysics. | Alan L. Yuille, Davi Geiger, Heinrich H. Blthoff |
| 1990 | ICPR | Shape from shading via the fusion of specular and Lambertian image components. | James J. Clark, Alan L. Yuille |
| 1990 | ICPR | A common framework for image segmentation. | Davi Geiger, Alan L. Yuille |
| 1989 | CVPR | A depth recovery algorithm using defocus information. | Ten-lee Hwang, James J. Clark, Alan L. Yuille |
| 1989 | CVPR | Feature extraction from faces using deformable templates. | Alan L. Yuille, David S. Cohen, Peter W. Hallinan |
| 1988 | ICCV | Determining The Optimal Weights In Multiple Objective Function Optimization. | Michael A. Gennert, Alan L. Yuille |
| 1988 | ICCV | The Creation Of Structure In Dynamic Shape. | Alan L. Yuille |
| 1988 | ICCV | The Motion Coherence Theory. | Alan L. Yuille, Norberto M. Grzywacz |
| 1984 | AAAI | Fingerprints Theorems. | Alan L. Yuille, Tomaso A. Poggio |
| 1984 | ECAI | The Smoothest Velocity Field Token Matching Schemes. | Alan L. Yuille |
| 1983 | IJCAI | An Extremum Principle for Shape From Contour. | Michael Brady, Alan L. Yuille |