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ORCIDAlan L. Yuille
Alan Loddon Yuille
Person information
- affiliation: Johns Hopkins University, Baltimore, MD, USA
- affiliation (former): University of California, Los Angeles, USA
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2020 – today
- 2024
[j115]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): 318-330 (2024)- [j114]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: 103226 (2024) - [j113]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: 103280 (2024) - [j112]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: 103285 (2024) - [j111]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): 679-687 (2024) - [j110]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): 6070-6081 (2024) - [j109]Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan L. Yuille, Adam Kortylewski:
OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11104-11118 (2024) - [j108]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) - [j107]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) - [j106]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) - [j105]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: 8291-8296 (2024) - [c396]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: 5298-5308 - [c395]Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie:
Benchmarking Robustness in Neural Radiance Fields. CVPR Workshops 2024: 2926-2936 - [c394]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, 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:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CVPR Workshops 2024: 6571-6594 - [c393]Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille:
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. CVPR 2024: 6881-6891 - [c392]Zihao Wei, Chen Wei, Jieru Mei, Yutong Bai, Zeyu Wang, Xianhang Li, Hongru Zhu, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Masked Autoencoders are Secretly Efficient Learners. CVPR Workshops 2024: 7986-7995 - [c391]Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan L. Yuille, Chen Wei, Zongwei Zhou:
Towards Generalizable Tumor Synthesis. CVPR 2024: 11147-11158 - [c390]Yuanhao Cai, Jiahao Wang, Alan L. Yuille, Zongwei Zhou, Angtian Wang:
Structure-Aware Sparse-View X-Ray 3D Reconstruction. CVPR 2024: 11174-11183 - [c389]Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CVPR 2024: 12954-12966 - [c388]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. CVPR 2024: 13342-13351 - [c387]Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan L. Yuille, Jiahui Yu:
De-Diffusion Makes Text a Strong Cross-Modal Interface. CVPR 2024: 13492-13503 - [c386]Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille:
A Bayesian Approach to OOD Robustness in Image Classification. CVPR 2024: 17459-17469 - [c385]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. CVPR 2024: 22861-22872 - [c384]Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille:
Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. EACL (1) 2024: 2378-2390 - [c383]Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. ECCV (38) 2024: 239-258 - [c382]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. ECCV (13) 2024: 254-269 - [c381]Artur Jesslen, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski:
NOVUM: Neural Object Volumes for Robust Object Classification. ECCV (4) 2024: 264-281 - [c380]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. ECCV (1) 2024: 283-299 - [c379]Feng Wang, Jieru Mei, Alan L. Yuille:
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference. ECCV (21) 2024: 315-332 - [c378]Yunfei Xie, Cihang Xie, Alan L. Yuille, Jieru Mei:
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation. ECCV (66) 2024: 341-356 - [c377]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. ECCV (77) 2024: 357-374 - [c376]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. ECCV (64) 2024: 474-490 - [c375]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 - [c374]Wenxuan Li, Alan L. Yuille, Zongwei Zhou:
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? ICLR 2024 - [c373]Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille:
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search. ICLR 2024 - [c372]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 - [c371]Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie:
Rejuvenating image-GPT as Strong Visual Representation Learners. ICML 2024 - [c370]Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou:
Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. ISBI 2024: 1-5 - [c369]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? ISBI 2024: 1-5 - [c368]Yu-Cheng Chou, Zongwei Zhou, Alan L. Yuille:
Embracing Massive Medical Data. MICCAI (1) 2024: 24-35 - [c367]Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan L. Yuille, Zongwei Zhou:
From Pixel to Cancer: Cellular Automata in Computed Tomography. MICCAI (1) 2024: 36-46 - [c366]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian R. Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 - [c365]Jiawei Peng, Ju He, Prakhar Kaushik, Zihao Xiao, Jiteng Mu, Alan L. Yuille:
Learning Part Segmentation from Synthetic Animals. WACV (Workshops) 2024: 80-91 - [c364]Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski:
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. WACV 2024: 3096-3105 - [c363]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: 3434-3443 - [i336]Jieru Mei, Liang-Chieh Chen, Alan L. Yuille, Cihang Xie:
SPFormer: Enhancing Vision Transformer with Superpixel Representation. CoRR abs/2401.02931 (2024) - [i335]Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille:
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. CoRR abs/2401.10848 (2024) - [i334]Junfei Xiao, Zheng Xu, Alan L. Yuille, Shen Yan, Boyu Wang:
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter. CoRR abs/2402.10896 (2024) - [i333]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 abs/2402.19423 (2024) - [i332]Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan L. Yuille, Chen Wei, Zongwei Zhou:
Towards Generalizable Tumor Synthesis. CoRR abs/2402.19470 (2024) - [i331]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 abs/2403.04116 (2024) - [i330]Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan L. Yuille, Zongwei Zhou:
From Pixel to Cancer: Cellular Automata in Computed Tomography. CoRR abs/2403.06459 (2024) - [i329]Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille:
A Bayesian Approach to OOD Robustness in Image Classification. CoRR abs/2403.07277 (2024) - [i328]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 abs/2403.08689 (2024) - [i327]Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CoRR abs/2404.02132 (2024) - [i326]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 abs/2404.05626 (2024) - [i325]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 abs/2404.14248 (2024) - [i324]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 abs/2405.14858 (2024) - [i323]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 abs/2405.15125 (2024) - [i322]Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan L. Yuille, Cihang Xie:
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. CoRR abs/2405.15160 (2024) - [i321]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 abs/2405.18356 (2024) - [i320]Yixiong Chen, Zongwei Zhou, Alan L. Yuille:
Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets. CoRR abs/2406.00327 (2024) - [i319]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 abs/2406.00622 (2024) - [i318]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 abs/2406.04322 (2024) - [i317]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 abs/2406.05565 (2024) - [i316]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 abs/2406.07537 (2024) - [i315]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 abs/2406.09613 (2024) - [i314]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 abs/2406.20092 (2024) - [i313]Yu-Cheng Chou, Zongwei Zhou, Alan L. Yuille:
Embracing Massive Medical Data. CoRR abs/2407.04687 (2024) - [i312]Xiaoding Yuan, Shitao Tang, Kejie Li, Alan L. Yuille, Peng Wang:
CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion Model. CoRR abs/2407.07174 (2024) - [i311]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 abs/2407.09271 (2024) - [i310]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 abs/2407.13094 (2024) - [i309]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 abs/2407.16697 (2024) - [i308]Yuxuan Wang, Alan L. Yuille, Zhuowan Li, Zilong Zheng:
ExoViP: Step-by-step Verification and Exploration with Exoskeleton Modules for Compositional Visual Reasoning. CoRR abs/2408.02210 (2024) - [i307]Yunfei Xie, Cihang Xie, Alan L. Yuille, Jieru Mei:
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation. CoRR abs/2409.01353 (2024) - [i306]Qi Chen, Yuxiang Lai, Xiaoxi Chen, Qixin Hu, Alan L. Yuille, Zongwei Zhou:
Analyzing Tumors by Synthesis. CoRR abs/2409.06035 (2024) - [i305]Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei, Angtian Wang, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie:
Causal Image Modeling for Efficient Visual Understanding. CoRR abs/2410.07599 (2024) - [i304]Pedro R. A. S. Bassi, Qilong Wu, Wenxuan Li, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Label Critic: Design Data Before Models. CoRR abs/2411.02753 (2024) - [i303]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian R. Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR abs/2411.03670 (2024) - [i302]Sucheng Ren, Yaodong Yu, Nataniel Ruiz, Feng Wang, Alan L. Yuille, Cihang Xie:
M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation. CoRR abs/2411.10433 (2024) - [i301]Taiming Lu, Tianmin Shu, Alan L. Yuille, Daniel Khashabi, Jieneng Chen:
Generative World Explorer. CoRR abs/2411.11844 (2024) - [i300]Yuanhao Cai, He Zhang, Kai Zhang, Yixun Liang, Mengwei Ren, Fujun Luan, Qing Liu, Soo Ye Kim, Jianming Zhang, Zhifei Zhang, Yuqian Zhou, Zhe Lin, Alan L. Yuille:
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation. CoRR abs/2411.14384 (2024) - [i299]Soumava Paul, Prakhar Kaushik, Alan L. Yuille:
Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors. CoRR abs/2411.15966 (2024) - [i298]Wufei Ma, Haoyu Chen, Guofeng Zhang, Celso M. de Melo, Alan L. Yuille, Jieneng Chen:
3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark. CoRR abs/2412.07825 (2024) - [i297]Taiming Lu, Tianmin Shu, Junfei Xiao, Luoxin Ye, Jiahao Wang, Cheng Peng, Chen Wei, Daniel Khashabi, Rama Chellappa, Alan L. Yuille, Jieneng Chen:
GenEx: Generating an Explorable World. CoRR abs/2412.09624 (2024) - [i296]Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching. CoRR abs/2412.15205 (2024) - [i295]Qihao Liu, Xi Yin, Alan L. Yuille, Andrew Brown, Mannat Singh:
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution. CoRR abs/2412.15213 (2024) - [i294]Xinran Li, Yi Shuai, Chen Liu, Qi Chen, Qilong Wu, Pengfei Guo, Dong Yang, Can Zhao, Pedro R. A. S. Bassi, Daguang Xu, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou:
Text-Driven Tumor Synthesis. CoRR abs/2412.18589 (2024) - 2023
- [j104]Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu:
Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. Cogn. Sci. 47(9) (2023) - [j103]Yuhui Xu, Lingxi Xie, Cihang Xie, Wenrui Dai, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan L. Yuille:
BNET: Batch Normalization With Enhanced Linear Transformation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9225-9232 (2023) - [c362]Qihao Liu, Adam Kortylewski, Alan L. Yuille:
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. CVPR 2023: 672-681 - [c361]Wei Ji, Jingjing Li, Cheng Bian, Zongwei Zhou, Jiaying Zhao, Alan L. Yuille, Li Cheng:
Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline. CVPR 2023: 1094-1104 - [c360]Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan L. Yuille, Song Bai:
InstMove: Instance Motion for Object-centric Video Segmentation. CVPR 2023: 6344-6354 - [c359]Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Label-Free Liver Tumor Segmentation. CVPR 2023: 7422-7432 - [c358]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: 11259-11268 - [c357]Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille:
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. CVPR 2023: 14963-14973 - [c356]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: 23890-23901 - [c355]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: 24256-24265 - [c354]Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie:
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. ICCV 2023: 2459-2469 - [c353]Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang