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ORCIDAlan L. Yuille
Alan Loddon Yuille
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- affiliation: Johns Hopkins University, Baltimore, MD, USA
- affiliation (former): University of California, Los Angeles, USA
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2020 – today
- 2022
[j100]Yuyin Zhou
, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille:
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data. IEEE Trans. Medical Imaging 41(6): 1346-1357 (2022)- [c306]Tae Soo Kim, Bohoon Shim, Michael Peven, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
Learning from Synthetic Vehicles. WACV (Workshops) 2022: 500-508 - [i233]Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille:
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data. CoRR abs/2201.00942 (2022) - [i232]Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan L. Yuille, Alexander C. Berg:
Point-Level Region Contrast for Object Detection Pre-Training. CoRR abs/2202.04639 (2022) - [i231]Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan:
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR abs/2203.08195 (2022) - [i230]Feng Wang, Huiyu Wang, Chen Wei, Alan L. Yuille, Wei Shen:
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation. CoRR abs/2203.11709 (2022) - [i229]Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille:
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CoRR abs/2204.02285 (2022) - [i228]Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie:
Fast AdvProp. CoRR abs/2204.09838 (2022) - [i227]Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
In Defense of Image Pre-Training for Spatiotemporal Recognition. CoRR abs/2205.01721 (2022) - [i226]Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille:
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. CoRR abs/2205.15401 (2022) - [i225]Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CoRR abs/2206.07692 (2022) - [i224]Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CoRR abs/2206.08948 (2022) - 2021
- [j99]Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion. Int. J. Comput. Vis. 129(3): 736-760 (2021) - [j98]Alan L. Yuille, Chenxi Liu:
Deep Nets: What have They Ever Done for Vision? Int. J. Comput. Vis. 129(3): 781-802 (2021) - [j97]Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille:
Deep Differentiable Random Forests for Age Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 404-419 (2021) - [j96]Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. IEEE Trans. Medical Imaging 40(10): 2723-2735 (2021) - [c305]Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
DASZL: Dynamic Action Signatures for Zero-shot Learning. AAAI 2021: 1817-1826 - [c304]Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille:
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. AAAI 2021: 3225-3233 - [c303]Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille:
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. BMVC 2021: 141 - [c302]Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan L. Yuille:
Compositional Generative Networks and Robustness to Perceptible Image Changes. CISS 2021: 1-8 - [c301]Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille:
Mask Guided Matting via Progressive Refinement Network. CVPR 2021: 1154-1163 - [c300]Chenxu Luo, Xiaodong Yang, Alan L. Yuille:
Self-Supervised Pillar Motion Learning for Autonomous Driving. CVPR 2021: 3183-3192 - [c299]Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. CVPR 2021: 3997-4008 - [c298]Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. CVPR 2021: 5463-5474 - [c297]Hao Ding, Siyuan Qiao, Alan L. Yuille, Wei Shen:
Deeply Shape-Guided Cascade for Instance Segmentation. CVPR 2021: 8278-8288 - [c296]Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao:
Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement. CVPR 2021: 9767-9776 - [c295]Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille:
DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution. CVPR 2021: 10213-10224 - [c294]Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang:
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. CVPR 2021: 10857-10866 - [c293]Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille:
Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion. CVPR 2021: 11141-11150 - [c292]Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang:
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. CVPR 2021: 13968-13978 - [c291]Chenxu Luo, Xiaodong Yang, Alan L. Yuille:
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving. ICCV 2021: 10468-10477 - [c290]Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. ICCV 2021: 12981-12991 - [c289]Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. ICCV 2021: 14890-14899 - [c288]Xinyue Wei, Weichao Qiu, Yi Zhang, Zihao Xiao, Alan L. Yuille:
Nuisance-Label Supervision: Robustness Improvement by Free Labels. ICCVW 2021: 1541-1550 - [c287]Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. ICCVW 2021: 3395-3401 - [c286]Chen Wei, Huiyu Wang, Wei Shen, Alan L. Yuille:
CO2: Consistent Contrast for Unsupervised Visual Representation Learning. ICLR 2021 - [c285]Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie:
Shape-Texture Debiased Neural Network Training. ICLR 2021 - [c284]Angtian Wang, Adam Kortylewski, Alan L. Yuille:
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. ICLR 2021 - [c283]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) 2021: 87-97 - [c282]Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang:
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. MICCAI (5) 2021: 259-269 - [c281]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:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. MICCAI (7) 2021: 764-774 - [c280]Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar:
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia 2021: 5686-5687 - [c279]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge. NeurIPS Datasets and Benchmarks 2021 - [c278]Angtian Wang, Shenxiao Mei, Alan L. Yuille, Adam Kortylewski:
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose. NeurIPS 2021: 7207-7219 - [c277]Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L. Yuille, Wei Shen:
Glance-and-Gaze Vision Transformer. NeurIPS 2021: 12992-13003 - [c276]Yutong Bai, Jieru Mei, Alan L. Yuille, Cihang Xie:
Are Transformers more robust than CNNs? NeurIPS 2021: 26831-26843 - [e5]Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu:
ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8672-2 [contents] - [i223]Ju He, Adam Kortylewski, Alan L. Yuille:
COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification. CoRR abs/2101.11878 (2021) - [i222]Angtian Wang, Adam Kortylewski, Alan L. Yuille:
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. CoRR abs/2101.12378 (2021) - [i221]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation. CoRR abs/2102.01558 (2021) - [i220]Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. CoRR abs/2102.04306 (2021) - [i219]Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang:
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. CoRR abs/2102.09559 (2021) - [i218]Prakhar Kaushik, Alex Gain, Adam Kortylewski, Alan L. Yuille:
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping. CoRR abs/2102.11343 (2021) - [i217]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:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. CoRR abs/2103.05170 (2021) - [i216]Seyoun Park, Elliot K. Fishman, Alan L. Yuille:
Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations. CoRR abs/2103.05525 (2021) - [i215]Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan L. Yuille:
TransFG: A Transformer Architecture for Fine-grained Recognition. CoRR abs/2103.07976 (2021) - [i214]Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang:
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency. CoRR abs/2103.12886 (2021) - [i213]Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille:
CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models. CoRR abs/2103.14098 (2021) - [i212]Junfei Xiao, Lequan Yu, Lei Xing, Alan L. Yuille, Yuyin Zhou:
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation. CoRR abs/2103.15858 (2021) - [i211]Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. CoRR abs/2104.07645 (2021) - [i210]Chenxu Luo, Xiaodong Yang, Alan L. Yuille:
Self-Supervised Pillar Motion Learning for Autonomous Driving. CoRR abs/2104.08683 (2021) - [i209]Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth:
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. CoRR abs/2104.10195 (2021) - [i208]Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu:
Visual analogy: Deep learning versus compositional models. CoRR abs/2105.07065 (2021) - [i207]Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. CoRR abs/2105.14773 (2021) - [i206]Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan L. Yuille:
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning. CoRR abs/2106.00209 (2021) - [i205]Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L. Yuille, Wei Shen:
Glance-and-Gaze Vision Transformer. CoRR abs/2106.02277 (2021) - [i204]Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff:
Simulated Adversarial Testing of Face Recognition Models. CoRR abs/2106.04569 (2021) - [i203]Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao:
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement. CoRR abs/2106.05554 (2021) - [i202]Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen:
DeepLab2: A TensorFlow Library for Deep Labeling. CoRR abs/2106.09748 (2021) - [i201]Chenglin Yang, Siyuan Qiao, Adam Kortylewski, Alan L. Yuille:
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms. CoRR abs/2107.05637 (2021) - [i200]Chenxu Luo, Xiaodong Yang, Alan L. Yuille:
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving. CoRR abs/2108.10312 (2021) - [i199]Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao:
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR abs/2109.05211 (2021) - [i198]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. CoRR abs/2109.11572 (2021) - [i197]Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou:
Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels. CoRR abs/2109.12265 (2021) - [i196]Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. CoRR abs/2110.00519 (2021) - [i195]Xinyue Wei, Weichao Qiu, Yi Zhang, Zihao Xiao, Alan L. Yuille:
Nuisance-Label Supervision: Robustness Improvement by Free Labels. CoRR abs/2110.07118 (2021) - [i194]Yixiao Zhang, Adam Kortylewski, Qing Liu, Seyoun Park, Benjamin Green, Elizabeth Engle, Guillermo Almodovar, Ryan Walk, Sigfredo Soto-Diaz, Janis Taube, Alex Szalay, Alan L. Yuille:
A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation. CoRR abs/2110.13846 (2021) - [i193]Angtian Wang, Shenxiao Mei, Alan L. Yuille, Adam Kortylewski:
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose. CoRR abs/2110.14213 (2021) - [i192]Yutong Bai, Jieru Mei, Alan L. Yuille, Cihang Xie:
Are Transformers More Robust Than CNNs? CoRR abs/2111.05464 (2021) - [i191]Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille:
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. CoRR abs/2111.07547 (2021) - [i190]Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
iBOT: Image BERT Pre-Training with Online Tokenizer. CoRR abs/2111.07832 (2021) - [i189]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge. CoRR abs/2111.07950 (2021) - [i188]Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai:
TransMix: Attend to Mix for Vision Transformers. CoRR abs/2111.09833 (2021) - [i187]Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li:
Learning from Temporal Gradient for Semi-supervised Action Recognition. CoRR abs/2111.13241 (2021) - [i186]Tiange Xiang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou:
In-painting Radiography Images for Unsupervised Anomaly Detection. CoRR abs/2111.13495 (2021) - [i185]Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski:
ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts. CoRR abs/2111.14341 (2021) - [i184]Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. CoRR abs/2112.00933 (2021) - [i183]Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan L. Yuille, Yongyi Lu:
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification. CoRR abs/2112.01767 (2021) - [i182]Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer:
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CoRR abs/2112.09133 (2021) - [i181]Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan L. Yuille:
Lite Vision Transformer with Enhanced Self-Attention. CoRR abs/2112.10809 (2021) - 2020
- [j95]David Dreizin, Yuyin Zhou, Yixiao Zhang, Nikki Tirada, Alan L. Yuille:
Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. J. Digit. Imaging 33(1): 243-251 (2020) - [j94]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. 65: 101766 (2020) - [j93]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 176-191 (2020) - [j92]Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan L. Yuille:
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2624-2641 (2020) - [j91]Zhe Ren, Junchi Yan, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
Unsupervised learning of optical flow with patch consistency and occlusion estimation. Pattern Recognit. 103: 107191 (2020) - [j90]Zhe Ren, Wenhan Luo, Junchi Yan, Wenlong Liao, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. IEEE Trans. Image Process. 29: 9113-9124 (2020) - [j89]Lingxi Xie, Qihang Yu, Yuyin Zhou, Yan Wang, Elliot K. Fishman, Alan L. Yuille:
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. IEEE Trans. Medical Imaging 39(2): 514-525 (2020) - [c275]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. AAAI 2020: 11458-11465 - [c274]Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille:
Identifying Model Weakness with Adversarial Examiner. AAAI 2020: 11998-12006 - [c273]Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu:
When Radiology Report Generation Meets Knowledge Graph. AAAI 2020: 12910-12917 - [c272]Hanwen Cao, Yongyi Lu, Bo Pang, Cewu Lu, Alan L. Yuille, Gongshen Liu:
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. BMVC 2020 - [c271]Jialing Lyu, Weichao Qiu, Alan L. Yuille:
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt. CVPR Workshops 2020: 39-47 - [c270]Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L. Yuille, Changqing Zou, Ning Liu:
Universal Physical Camouflage Attacks on Object Detectors. CVPR 2020: 717-726 - [c269]Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. CVPR 2020: 816-825 - [c268]Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille:
Context-Aware Group Captioning via Self-Attention and Contrastive Features. CVPR 2020: 3437-3447 - [c267]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CVPR 2020: 3832-3841 - [c266]Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu:
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CVPR 2020: 4125-4134 - [c265]Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. CVPR 2020: 8937-8946 - [c264]Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille:
Neural Architecture Search for Lightweight Non-Local Networks. CVPR 2020: 10294-10303 - [c263]Jiteng Mu, Weichao Qiu, Gregory D. Hager, Alan L. Yuille:
Learning From Synthetic Animals. CVPR 2020: 12383-12392 - [c262]Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Robust Object Detection Under Occlusion With Context-Aware CompositionalNets. CVPR 2020: 12642-12651 - [c261]Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan L. Yuille:
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots. ECCV (21) 2020: 68-84 - [c260]Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. ECCV (4) 2020: 108-126