Alan L. Yuille

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 556

Top Venues

Publications

Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan L. Yuille
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering. CoRR (2024)
Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. WACV (2024)
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
Autoregressive Pretraining with Mamba in Vision. CoRR (2024)
Tiezheng Zhang, Xiaoxi Chen, Chongyu Qu, Alan L. Yuille, Zongwei Zhou
Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training? CoRR (2024)
Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CoRR (2024)
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. CoRR (2024)
Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)
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 L. Yuille, Zongwei Zhou
AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking. CoRR (2024)
Xiaoding Yuan, Shitao Tang, Kejie Li, Alan L. Yuille, Peng Wang
CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion Model. CoRR (2024)
Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan L. Yuille, Cihang Xie
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. CoRR (2024)
Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. ICLR (2024)
Wengang Zhou, Jiajun Deng, Niculae Sebe, Qi Tian, Alan L. Yuille, Concetto Spampinato, Zakia Hammal
Guest Editorial Introduction to the Issue on Pre-Trained Models for Multi-Modality Understanding. IEEE Trans. Multim. 26 (2024)
Yixiong Chen, Zongwei Zhou, Alan L. Yuille
Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets. CoRR (2024)
Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan L. Yuille, Chen Wei, Zongwei Zhou
Towards Generalizable Tumor Synthesis. CoRR (2024)
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Tom Weidong Cai, Zongwei Zhou
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Jiawei Peng, Ju He, Prakhar Kaushik, Zihao Xiao, Jiteng Mu, Alan L. Yuille
Learning Part Segmentation from Synthetic Animals. WACV (Workshops) (2024)
Junfei Xiao, Zheng Xu, Alan L. Yuille, Shen Yan, Boyu Wang
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter. CoRR (2024)
Sucheng Ren, Xiaoke Huang, Xianhang Li, Junfei Xiao, Jieru Mei, Zeyu Wang, Alan L. Yuille, Yuyin Zhou
Medical Vision Generalist: Unifying Medical Imaging Tasks in Context. CoRR (2024)
Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille
Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. EACL (1) (2024)
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 L. Yuille, Yuyin Zhou
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97 (2024)
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, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, 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
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR (2024)
Jieru Mei, Liang-Chieh Chen, Alan L. Yuille, Cihang Xie
SPFormer: Enhancing Vision Transformer with Superpixel Representation. CoRR (2024)
Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. CoRR (2024)
Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie
Mamba-R: Vision Mamba ALSO Needs Registers. CoRR (2024)
Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search. ICLR (2024)
Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille
A Bayesian Approach to OOD Robustness in Image Classification. CoRR (2024)
Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan L. Yuille, Zongwei Zhou
From Pixel to Cancer: Cellular Automata in Computed Tomography. CoRR (2024)
Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan L. Yuille, Tony Tung
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction. AAAI (2024)
Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan L. Yuille, Adam Kortylewski
Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data. WACV (2024)
Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie
Unleashing the Power of Visual Prompting At the Pixel Level. Trans. Mach. Learn. Res. 2024 (2024)
Wenxuan Li, Alan L. Yuille, Zongwei Zhou
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? ICLR (2024)
Alicia M. Braxton, Ashley L. Kiemen, Mia P. Grahn, André Forjaz, Jeeun Parksong, Jaanvi Mahesh Babu, Jiaying Lai, Lily Zheng, Noushin Niknafs, Liping Jiang, Haixia Cheng, Qianqian Song, Rebecca Reichel, Sarah Graham, Alexander Damanakis, Catherine G. Fischer, Stephanie Mou, Cameron Metz, Julie Granger, Xiao-Ding Liu, Niklas Bachmann, Yutong Zhu, Yunzhou Liu, Cristina Almagro-Pérez, Ann Chenyu Jiang, Jeonghyun Yoo, Bridgette Kim, Scott Du, Eli Foster, Jocelyn Y. Hsu, Paula Andreu Rivera, Linda C. Chu, Fengze Liu, Elliot K. Fishman, Alan L. Yuille, Nicholas J. Roberts, Elizabeth D. Thompson, Robert B. Scharpf, Toby C. Cornish, Yuchen Jiao, Rachel Karchin, Ralph H. Hruban, Pei-Hsun Wu, Denis Wirtz, Laura D. Wood
3D genomic mapping reveals multifocality of human pancreatic precancers. Nat. 629 (8012) (2024)
Wufei Ma, Kai Li, Zhongshi Jiang, Moustafa Meshry, Qihao Liu, Huiyu Wang, Christian Häne, Alan L. Yuille
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data. CoRR (2024)
Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan L. Yuille
Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis. CoRR (2024)
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
Generating Images with 3D Annotations Using Diffusion Models. ICLR (2024)
Wufei Ma, Guanning Zeng, Guofeng Zhang, Qihao Liu, Letian Zhang, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. CoRR (2024)
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 L. Yuille, Zongwei Zhou
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking. Medical Image Anal. 97 (2024)
Jieneng Chen, Luoxin Ye, Ju He, Zhao-Yang Wang, Daniel Khashabi, Alan L. Yuille
LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression. CoRR (2024)
Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography. CoRR (2024)
Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. CoRR (2024)
Yu-Cheng Chou, Bowen Li, Deng-Ping Fan, Alan L. Yuille, Zongwei Zhou
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data. Mach. Intell. Res. 21 (2) (2024)
Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography. Medical Image Anal. 97 (2024)
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories. Trans. Mach. Learn. Res. 2024 (2024)
Fengrui Tian, Yaoyao Liu, Adam Kortylewski, Yueqi Duan, Shaoyi Du, Alan L. Yuille, Angtian Wang
Learning a Category-level Object Pose Estimator without Pose Annotations. CoRR (2024)
Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan L. Yuille
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting. CoRR (2024)
Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. CoRR (2024)
Yu-Cheng Chou, Zongwei Zhou, Alan L. Yuille
Embracing Massive Medical Data. CoRR (2024)
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
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR (2023)
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
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. ICCV (2023)
Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie
Rejuvenating image-GPT as Strong Visual Representation Learners. CoRR (2023)
Yiqing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan L. Yuille, Cihang Xie, Yuyin Zhou
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. CoRR (2023)
Chenglin Yang, Siyuan Qiao, Yuan Cao, Yu Zhang, Tao Zhu, Alan L. Yuille, Jiahui Yu
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers. CoRR (2023)
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
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. CoRR (2023)
Feng Wang, Jieru Mei, Alan L. Yuille
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference. CoRR (2023)
Yixiong Chen, Alan L. Yuille, Zongwei Zhou
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks. ICLR (2023)
Yutong Bai, Angtian Wang, Adam Kortylewski, Alan L. Yuille
CoKe: Contrastive Learning for Robust Keypoint Detection. WACV (2023)
Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille
Intriguing Properties of Text-guided Diffusion Models. CoRR (2023)
Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. ICCV (2023)
Qihao Liu, Adam Kortylewski, Alan L. Yuille
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. CoRR (2023)
Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou
Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks. CoRR (2023)
Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou
Continual Learning for Abdominal Multi-organ and Tumor Segmentation. MICCAI (2) (2023)
Zihao Xiao, Alan L. Yuille, Yi-Ting Chen
Learning Road Scene-level Representations via Semantic Region Prediction. CoRR (2023)
Mintong Kang, Bowen Li, Zengle Zhu, Yongyi Lu, Elliot K. Fishman, Alan L. Yuille, Zongwei Zhou
Label-Assemble: Leveraging Multiple Datasets with Partial Labels. ISBI (2023)
Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. CoRR (2023)
Jiang Liu, Chen Wei, Yuxiang Guo, Heng Yu, Alan L. Yuille, Soheil Feizi, Chun Pong Lau, Rama Chellappa
Instruct2Attack: Language-Guided Semantic Adversarial Attacks. CoRR (2023)
Artur Jesslen, Guofeng Zhang, Angtian Wang, Alan L. Yuille, Adam Kortylewski
Robust 3D-aware Object Classification via Discriminative Render-and-Compare. CoRR (2023)
Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou
AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks. NeurIPS (2023)
Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie
Benchmarking Robustness in Neural Radiance Fields. CoRR (2023)
Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros
Sequential Modeling Enables Scalable Learning for Large Vision Models. CoRR (2023)
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation. CoRR (2023)
Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou
Label-Free Liver Tumor Segmentation. CoRR (2023)
Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. CoRR (2023)
Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. ICCV (2023)
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
Diffusion Models as Masked Autoencoders. CoRR (2023)
Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan L. Yuille, Song Bai
InstMove: Instance Motion for Object-centric Video Segmentation. CVPR (2023)
Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. CoRR (2023)
Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan L. Yuille, Song Bai
InstMove: Instance Motion for Object-centric Video Segmentation. CoRR (2023)
Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation. CVPR (2023)
Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Yaoyao Liu, Adam Kortylewski, Alan L. Yuille
Adding 3D Geometry Control to Diffusion Models. CoRR (2023)
Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning. MIDL (2023)
Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. CoRR (2023)
Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan L. Yuille, Tony Tung
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction. CoRR (2023)
Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. ICLR (2023)
Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. ICCV (2023)
Yuanhao Cai, Jiahao Wang, Alan L. Yuille, Zongwei Zhou, Angtian Wang
Structure-Aware Sparse-View X-ray 3D Reconstruction. CoRR (2023)
Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan L. Yuille, Adam Kortylewski
Robust Category-Level 3D Pose Estimation from Synthetic Data. CoRR (2023)
Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation. CoRR (2023)
Qixin Hu, Alan L. Yuille, Zongwei Zhou
Synthetic Data as Validation. CoRR (2023)
Shiqi Liu, Yutong Bai, Xinyang Han, Alan L. Yuille
Understanding Pan-Sharpening via Generalized Inverse. CoRR (2023)
Ju He, Adam Kortylewski, Alan L. Yuille
CORL: Compositional Representation Learning for Few-Shot Classification. WACV (2023)
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
Diffusion Models as Masked Autoencoders. ICCV (2023)
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection. CVPR (2023)
Junfei Xiao, Yutong Bai, Alan L. Yuille, Zongwei Zhou
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification. WACV (2023)
Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie
Masked Autoencoders Enable Efficient Knowledge Distillers. CVPR (2023)
Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan L. Yuille
3D-Aware Visual Question Answering about Parts, Poses and Occlusions. CoRR (2023)
Shitian Zhao, Zhuowan Li, Yadong Lu, Alan L. Yuille, Yan Wang
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models. CoRR (2023)
Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. ICLR (2023)
Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR (2023)
Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. CoRR (2023)
Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Alan L. Yuille, Yuyin Zhou, Cihang Xie
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. CoRR (2023)

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Alan L. Yuille