Zhuowen Tu

286 papers A* 80A 9B 1C 1Journal 138Unranked 54
YearRankTypeTitle / Venue / Authors
2026 J jnl
CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation in Vision Foundation Models.
CoRR
Xiaojun Shan, Haoyu Shen, Yucheng Mao, Xiang Zhang, Abhay Anand, Bingnan Li, Haiyang Xu, Zhuowen Tu
2026 J jnl
PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction.
CoRR
Xiang Zhang, Sohyun Yoo, Hongrui Wu, Chuan Li, Jianwen Xie, Zhuowen Tu
2026 J jnl
Reinforcement-aware Knowledge Distillation for LLM Reasoning.
CoRR
Zhaoyang Zhang, Shuli Jiang, Yantao Shen, Yuting Zhang, Dhananjay Ram, Shuo Yang, Zhuowen Tu, Wei Xia, Stefano Soatto
2026 J jnl
SG-VLA: Learning Spatially-Grounded Vision-Language-Action Models for Mobile Manipulation.
CoRR
Ruisen Tu, Arth Shukla, Sohyun Yoo, Xuanlin Li, Junxi Li, Jianwen Xie, Hao Su, Zhuowen Tu
2026 J jnl
SemLayer: Semantic-aware Generative Segmentation and Layer Construction for Abstract Icons.
CoRR
Haiyang Xu, Ronghuan Wu, Li-Yi Wei, Nanxuan Zhao, Chenxi Liu, Cuong Nguyen, Zhuowen Tu, Zhaowen Wang
2026 J jnl
Soft Tail-dropping for Adaptive Visual Tokenization.
CoRR
Zeyuan Chen, Kai Zhang, Zhuowen Tu, Yuanjun Xiong
2026 J jnl
Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes.
CoRR
Jing Tan, Zhaoyang Zhang, Yantao Shen, Jiarui Cai, Shuo Yang, Jiajun Wu, Wei Xia, Zhuowen Tu, Stefano Soatto
2025 J jnl
AuthGuard: Generalizable Deepfake Detection via Language Guidance.
CoRR
Guangyu Shen, Zhihua Li, Xiang Xu, Tianchen Zhao, Zheng Zhang, Dongsheng An, Zhuowen Tu, Yifan Xing, Qin Zhang
2025 J jnl
C3Editor: Achieving Controllable Consistency in 2D Model for 3D Editing.
CoRR
Zeng Tao, Zheng Ding, Zeyuan Chen, Xiang Zhang, Leizhi Li, Zhuowen Tu
2025 J jnl
CVP: Central-Peripheral Vision-Inspired Multimodal Model for Spatial Reasoning.
CoRR
Zeyuan Chen, Xiang Zhang, Haiyang Xu, Jianwen Xie, Zhuowen Tu
2025 J jnl
DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion.
CoRR
Qingcheng Zhao, Xiang Zhang, Haiyang Xu, Zeyuan Chen, Jianwen Xie, Yuan Gao, Zhuowen Tu
2025 J jnl
Exploring the Equivalence of Closed-Set Generative and Real Data Augmentation in Image Classification.
CoRR
Haowen Wang, Guowei Zhang, Xiang Zhang, Zeyuan Chen, Haiyang Xu, Dou Hoon Kwark, Zhuowen Tu
2025 J jnl
Gaussian Swaying: Surface-Based Framework for Aerodynamic Simulation with 3D Gaussians.
CoRR
Hongru Yan, Xiang Zhang, Zeyuan Chen, Fangyin Wei, Zhuowen Tu
2025 A* conf
Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels.
CVPR
Yongshuo Zong, Qin Zhang, Dongsheng An, Zhihua Li, Xiang Xu, Linghan Xu, Zhuowen Tu, Yifan Xing, Onkar Dabeer
2025 J jnl
Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels.
CoRR
Yongshuo Zong, Qin Zhang, Dongsheng An, Zhihua Li, Xiang Xu, Linghan Xu, Zhuowen Tu, Yifan Xing, Onkar Dabeer
2025 J jnl
Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers.
CoRR
Divyansh Srivastava, Xiang Zhang, He Wen, Chenru Wen, Zhuowen Tu
2025 J jnl
OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps.
CoRR
Bingnan Li, Chen-Yu Wang, Haiyang Xu, Xiang Zhang, Ethan Armand, Divyansh Srivastava, Xiaojun Shan, Zeyuan Chen, Jianwen Xie, Zhuowen Tu
2025 J jnl
Real Deep Research for AI, Robotics and Beyond.
CoRR
Xueyan Zou, Jianglong Ye, Hao Zhang, Xiaoyu Xiang, Mingyu Ding, Zhaojing Yang, Yong Jae Lee, Zhuowen Tu, Sifei Liu, Xiaolong Wang
2025 J jnl
Salient Concept-Aware Generative Data Augmentation.
CoRR
Tianchen Zhao, Xuanbai Chen, Zhihua Li, Jun Fang, Dongsheng An, Xiang Xu, Zhuowen Tu, Yifan Xing
2025 J jnl
VideoNSA: Native Sparse Attention Scales Video Understanding.
CoRR
Enxin Song, Wenhao Chai, Shusheng Yang, Ethan Armand, Xiaojun Shan, Haiyang Xu, Jianwen Xie, Zhuowen Tu
2025 J jnl
YOLO-Count: Differentiable Object Counting for Text-to-Image Generation.
CoRR
Guanning Zeng, Xiang Zhang, Zirui Wang, Haiyang Xu, Zeyuan Chen, Bingnan Li, Zhuowen Tu
2024 — conf
AffordanceLLM: Grounding Affordance from Vision Language Models.
CVPR Workshops
Shengyi Qian, Weifeng Chen, Min Bai, Xiong Zhou, Zhuowen Tu, Li Erran Li
2024 J jnl
AffordanceLLM: Grounding Affordance from Vision Language Models.
CoRR
Shengyi Qian, Weifeng Chen, Min Bai, Xiong Zhou, Zhuowen Tu, Li Erran Li
2024 A* conf
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions.
AAAI
Wenbo Hu, Yifan Xu, Yi Li, Weiyue Li, Zeyuan Chen, Zhuowen Tu
2024 A* conf
Bayesian Diffusion Models for 3D Shape Reconstruction.
CVPR
Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao, Yilin Wang, Zhuowen Tu
2024 J jnl
Bayesian Diffusion Models for 3D Shape Reconstruction.
CoRR
Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao, Yilin Wang, Zhuowen Tu
2024 J jnl
Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability.
Trans. Assoc. Comput. Linguistics
Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen
2024 A* conf
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models.
EMNLP
Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto
2024 J jnl
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models.
CoRR
Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto
2024 — conf
Dolfin: Diffusion Layout Transformers Without Autoencoder.
ECCV (51)
Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhuowen Tu
2024 J jnl
Efficient Scaling of Diffusion Transformers for Text-to-Image Generation.
CoRR
Hao Li, Shamit Lal, Zhiheng Li, Yusheng Xie, Ying Wang, Yang Zou, Orchid Majumder, R. Manmatha, Zhuowen Tu, Stefano Ermon, Stefano Soatto, Ashwin Swaminathan
2024 J jnl
Elodi: Ensemble Logit Difference Inhibition for Positive-Congruent Training.
IEEE Trans. Pattern Anal. Mach. Intell.
Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto
2024 A* conf
Enhancing Vision-Language Pre-Training with Rich Supervisions.
CVPR
Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Zhuowen Tu, Vijay Mahadevan, Stefano Soatto
2024 J jnl
Enhancing Vision-Language Pre-training with Rich Supervisions.
CoRR
Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Vijay Mahadevan, Zhuowen Tu, Stefano Soatto
2024 J jnl
Goldfish: Monolingual Language Models for 350 Languages.
CoRR
Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin K. Bergen
2024 J jnl
Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model.
CoRR
Xiaolong Li, Jiawei Mo, Ying Wang, Chethan Parameshwara, Xiaohan Fei, Ashwin Swaminathan, CJ Taylor, Zhuowen Tu, Paolo Favaro, Stefano Soatto
2024 A* conf
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data.
CVPR
Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang
2024 J jnl
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data.
CoRR
Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang
2024 A* conf
Non-autoregressive Sequence-to-Sequence Vision-Language Models.
CVPR
Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto
2024 J jnl
Non-autoregressive Sequence-to-Sequence Vision-Language Models.
CoRR
Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto
2024 — conf
OmniControlNet: Dual-stage Integration for Conditional Image Generation.
CVPR Workshops
Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha, Zirui Wang, Zhuowen Tu
2024 J jnl
OmniControlNet: Dual-stage Integration for Conditional Image Generation.
CoRR
Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha, Zirui Wang, Zhuowen Tu
2024 A* conf
On the Scalability of Diffusion-based Text-to-Image Generation.
CVPR
Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto
2024 J jnl
On the Scalability of Diffusion-based Text-to-Image Generation.
CoRR
Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto
2024 — conf
Open-World Dynamic Prompt and Continual Visual Representation Learning.
ECCV (49)
Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer
2024 J jnl
Open-World Dynamic Prompt and Continual Visual Representation Learning.
CoRR
Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer
2024 A* conf
Patched Denoising Diffusion Models For High-Resolution Image Synthesis.
ICLR
Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu
2024 A* conf
Restoration by Generation with Constrained Priors.
CVPR
Zheng Ding, Xuaner Zhang, Zhuowen Tu, Zhihao Xia
2024 A* conf
TokenCompose: Text-to-Image Diffusion with Token-Level Supervision.
CVPR
Zirui Wang, Zhizhou Sha, Zheng Ding, Yilin Wang, Zhuowen Tu
2024 A* conf
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages.
EMNLP
Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen
2023 J jnl
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions.
CoRR
Wenbo Hu, Yifan Xu, Yi Li, Weiyue Li, Zeyuan Chen, Zhuowen Tu
2023 J jnl
Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability.
CoRR
Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen
2023 A* conf
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing.
CVPR
Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang
2023 J jnl
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing.
CoRR
Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang
2023 A* conf
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability.
ICCV
Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su
2023 J jnl
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability.
CoRR
Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su
2023 A* conf
DocTr: Document Transformer for Structured Information Extraction in Documents.
ICCV
Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan
2023 J jnl
DocTr: Document Transformer for Structured Information Extraction in Documents.
CoRR
Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan
2023 J jnl
Dolfin: Diffusion Layout Transformers without Autoencoder.
CoRR
Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhizhou Sha, Zhuowen Tu
2023 A* conf
Guided Recommendation for Model Fine-Tuning.
CVPR
Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto
2023 A* conf
MasQCLIP for Open-Vocabulary Universal Image Segmentation.
ICCV
Xin Xu, Tianyi Xiong, Zheng Ding, Zhuowen Tu
2023 J jnl
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts.
CoRR
Zhaoyang Zhang, Yantao Shen, Kunyu Shi, Zhaowei Cai, Jun Fang, Siqi Deng, Hao Yang, Davide Modolo, Zhuowen Tu, Stefano Soatto
2023 A* conf
Object-Centric Multiple Object Tracking.
ICCV
Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
2023 J jnl
Object-Centric Multiple Object Tracking.
CoRR
Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
2023 A* conf
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning.
ICLR
Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu
2023 A* conf
Open-Vocabulary Universal Image Segmentation with MaskCLIP.
ICML
Zheng Ding, Jieke Wang, Zhuowen Tu
2023 J jnl
Patched Denoising Diffusion Models For High-Resolution Image Synthesis.
CoRR
Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu
2023 J jnl
Restoration by Generation with Constrained Priors.
CoRR
Zheng Ding, Xuaner Zhang, Zhuowen Tu, Zhihao Xia
2023 A* conf
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction.
ICCV
Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su
2023 J jnl
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction.
CoRR
Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su
2023 A* conf
SkeleTR: Towards Skeleton-based Action Recognition in the Wild.
ICCV
Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
2023 J jnl
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild.
CoRR
Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
2023 J jnl
TokenCompose: Grounding Diffusion with Token-level Supervision.
CoRR
Zirui Wang, Zhizhou Sha, Zheng Ding, Yilin Wang, Zhuowen Tu
2023 A* conf
Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction.
ICCV
Xiang Zhang, Zeyuan Chen, Fangyin Wei, Zhuowen Tu
2023 J jnl
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages.
CoRR
Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin K. Bergen
2022 A* conf
An In-depth Study of Stochastic Backpropagation.
NeurIPS
Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe
2022 J jnl
An In-depth Study of Stochastic Backpropagation.
CoRR
Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe
2022 J jnl
Contrastive Neighborhood Alignment.
CoRR
Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto
2022 J jnl
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training.
CoRR
Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto
2022 J jnl
Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingdong Wang, Zhuowen Tu, Jianlong Fu, Nicu Sebe, Serge J. Belongie
2022 A* conf
Instance Segmentation with Mask-supervised Polygonal Boundary Transformers.
CVPR
Justin Lazarow, Weijian Xu, Zhuowen Tu
2022 A* conf
MeMOT: Multi-Object Tracking with Memory.
CVPR
Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
2022 J jnl
MeMOT: Multi-Object Tracking with Memory.
CoRR
Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
2022 J jnl
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning.
CoRR
Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu
2022 J jnl
Open-Vocabulary Panoptic Segmentation with MaskCLIP.
CoRR
Zheng Ding, Jieke Wang, Zhuowen Tu
2022 J jnl
Point Cloud Recognition with Position-to-Structure Attention Transformers.
CoRR
Zheng Ding, James Hou, Zhuowen Tu
2022 A* conf
Semi-supervised Vision Transformers at Scale.
NeurIPS
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
2022 J jnl
Semi-supervised Vision Transformers at Scale.
CoRR
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
2022 A* conf
Text Spotting Transformers.
CVPR
Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu
2022 J jnl
Text Spotting Transformers.
CoRR
Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu
2022 A* conf
The Geometry of Multilingual Language Model Representations.
EMNLP
Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen
2022 J jnl
The Geometry of Multilingual Language Model Representations.
CoRR
Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen
2022 A* conf
ViTGAN: Training GANs with Vision Transformers.
ICLR
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
2022 — conf
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks.
ECCV (36)
Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto
2022 J jnl
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks.
CoRR
Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto
2021 A* conf
Attentional Constellation Nets for Few-Shot Learning.
ICLR
Weijian Xu, Yifan Xu, Huaijin Wang, Zhuowen Tu
2021 A* conf
Co-Scale Conv-Attentional Image Transformers.
ICCV
Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu
2021 J jnl
Co-Scale Conv-Attentional Image Transformers.
CoRR
Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu
2021 A* conf
Compatibility-Aware Heterogeneous Visual Search.
CVPR
Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
2021 J jnl
Compatibility-aware Heterogeneous Visual Search.
CoRR
Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
2021 — conf
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.
ACL/IJCNLP (1)
Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu
2021 J jnl
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.
CoRR
Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu
2021 A* conf
Dual Contradistinctive Generative Autoencoder.
CVPR
Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu
2021 J jnl
Editorial: Introduction to the Special Section on CVPR2019 Best Papers.
IEEE Trans. Pattern Anal. Mach. Intell.
Gang Hua, Derek Hoiem, Abhinav Gupta, Zhuowen Tu
2021 A* conf
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning.
CVPR
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto
2021 J jnl
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning.
CoRR
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto
2021 A* conf
Line Segment Detection Using Transformers Without Edges.
CVPR
Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu
2021 J jnl
Line Segment Detection Using Transformers without Edges.
CoRR
Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu
2021 A* conf
Long Short-Term Transformer for Online Action Detection.
NeurIPS
Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
2021 J jnl
Long Short-Term Transformer for Online Action Detection.
CoRR
Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
2021 A* conf
Pose Recognition With Cascade Transformers.
CVPR
Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu
2021 J jnl
Pose Recognition with Cascade Transformers.
CoRR
Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu
2021 J jnl
Towards Panoptic 3D Parsing for Single Image in the Wild.
CoRR
Sainan Liu, Vincent Nguyen, Yuan Gao, Subarna Tripathi, Zhuowen Tu
2021 J jnl
ViTGAN: Training GANs with Vision Transformers.
CoRR
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
2021 J jnl
Visual Composite Set Detection Using Part-and-Sum Transformers.
CoRR
Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto
2021 A* conf
Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries.
ICCV
Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto
2020 J jnl
Dual Contradistinctive Generative Autoencoder.
CoRR
Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu
2020 A* conf
Guided Variational Autoencoder for Disentanglement Learning.
CVPR
Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu
2020 J jnl
Guided Variational Autoencoder for Disentanglement Learning.
CoRR
Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu
2020 A* conf
Learning Instance Occlusion for Panoptic Segmentation.
CVPR
Justin Lazarow, Kwonjoon Lee, Kunyu Shi, Zhuowen Tu
2020 A conf
Local Binary Pattern Networks.
WACV
Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh K. Gupta, Zhuowen Tu
2020 — conf
One-Pixel Signature: Characterizing CNN Models for Backdoor Detection.
ECCV (27)
Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu
2020 J jnl
One-pixel Signature: Characterizing CNN Models for Backdoor Detection.
CoRR
Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu
2020 A* conf
Recognizing Objects From Any View With Object and Viewer-Centered Representations.
CVPR
Sainan Liu, Vincent Nguyen, Isaac Rehg, Zhuowen Tu
2020 — conf
Topology-Aware Single-Image 3D Shape Reconstruction.
CVPR Workshops
Qimin Chen, Vincent Nguyen, Feng Han, Raimondas Kiveris, Zhuowen Tu
2020 J jnl
Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations.
IEEE Des. Test
Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, Rajesh K. Gupta
2019 A* conf
3D Volumetric Modeling with Introspective Neural Networks.
AAAI
Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu
2019 A conf
Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs.
DATE
Jeng-Hau Lin, Atieh Lotfi, Vahideh Akhlaghi, Zhuowen Tu, Rajesh K. Gupta
2019 J jnl
Deep FisherNet for Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu
2019 J jnl
Deeply Supervised Salient Object Detection with Short Connections.
IEEE Trans. Pattern Anal. Mach. Intell.
Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr
2019 A conf
Geometry-Aware End-to-End Skeleton Detection.
BMVC
Weijian Xu, Gaurav Parmar, Zhuowen Tu
2019 J jnl
Learning Instance Occlusion for Panoptic Segmentation.
CoRR
Justin Lazarow, Kwonjoon Lee, Zhuowen Tu
2019 J jnl
Neural Program Synthesis By Self-Learning.
CoRR
Yifan Xu, Lu Dai, Udaikaran Singh, Kening Zhang, Zhuowen Tu
2019 J jnl
Rethinking Exposure Bias In Language Modeling.
CoRR
Yifan Xu, Kening Zhang, Haoyu Dong, Yuezhou Sun, Wenlong Zhao, Zhuowen Tu
2019 J jnl
Unaligned Image-to-Sequence Transformation with Loop Consistency.
CoRR
Siyang Wang, Justin Lazarow, Kwonjoon Lee, Zhuowen Tu
2018 A* conf
Attentional ShapeContextNet for Point Cloud Recognition.
CVPR
Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu
2018 A* conf
Deep Convolutional Neural Networks with Merge-and-Run Mappings.
IJCAI
Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang
2018 J jnl
Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree.
IEEE Trans. Pattern Anal. Mach. Intell.
Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu
2018 J jnl
Local Binary Pattern Networks.
CoRR
Jeng-Hau Lin, Yunfan Yang, Rajesh K. Gupta, Zhuowen Tu
2018 — conf
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification.
ECCV (15)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
2018 A* conf
Wasserstein Introspective Neural Networks.
CVPR
Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu
2017 A* conf
Aggregated Residual Transformations for Deep Neural Networks.
CVPR
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
2017 — conf
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration.
CVPR Workshops
Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta
2017 J jnl
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration.
CoRR
Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta
2017 J jnl
DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images.
CoRR
Jameson Tyler Merkow, Robert B. Lufkin, Kim Nguyen, Stefano Soatto, Zhuowen Tu, Andrea Vedaldi
2017 A* conf
Deeply Supervised Salient Object Detection with Short Connections.
CVPR
Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr
2017 J jnl
Holistically-Nested Edge Detection.
Int. J. Comput. Vis.
Saining Xie, Zhuowen Tu
2017 — conf
Introspective Classification with Convolutional Nets.
NIPS
Long Jin, Justin Lazarow, Zhuowen Tu
2017 J jnl
Introspective Classifier Learning: Empower Generatively.
CoRR
Long Jin, Justin Lazarow, Zhuowen Tu
2017 J jnl
Introspective Generative Modeling: Decide Discriminatively.
CoRR
Justin Lazarow, Long Jin, Zhuowen Tu
2017 A* conf
Introspective Neural Networks for Generative Modeling.
ICCV
Justin Lazarow, Long Jin, Zhuowen Tu
2017 J jnl
Rethinking Spatiotemporal Feature Learning For Video Understanding.
CoRR
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
2017 J jnl
Top-down Flow Transformer Networks.
CoRR
Zhiwei Jia, Haoshen Hong, Siyang Wang, Zhuowen Tu
2017 J jnl
Wasserstein Introspective Neural Networks.
CoRR
Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu
2016 J jnl
Aggregated Residual Transformations for Deep Neural Networks.
CoRR
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
2016 J jnl
Deep FisherNet for Object Classification.
CoRR
Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu
2016 J jnl
Deeply supervised salient object detection with short connections.
CoRR
Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr
2016 — conf
Dense Volume-to-Volume Vascular Boundary Detection.
MICCAI (3)
Jameson Tyler Merkow, Alison L. Marsden, David J. Kriegman, Zhuowen Tu
2016 J jnl
Dense Volume-to-Volume Vascular Boundary Detection.
CoRR
Jameson Tyler Merkow, David J. Kriegman, Alison L. Marsden, Zhuowen Tu
2016 A conf
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree.
AISTATS
Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu
2016 — conf
HFS: Hierarchical Feature Selection for Efficient Image Segmentation.
ECCV (3)
Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu
2016 J jnl
Object Detection Free Instance Segmentation With Labeling Transformations.
CoRR
Long Jin, Zeyu Chen, Zhuowen Tu
2016 J jnl
On the Connection of Deep Fusion to Ensembling.
CoRR
Liming Zhao, Jingdong Wang, Xi Li, Zhuowen Tu, Wenjun Zeng
2016 — conf
Top-Down Learning for Structured Labeling with Convolutional Pseudoprior.
ECCV (4)
Saining Xie, Xun Huang, Zhuowen Tu
2015 J jnl
A two-layer structure prediction framework for microscopy cell detection.
Comput. Medical Imaging Graph.
Yan Xu, Weiying Wu, Eric I-Chao Chang, Danny Ziyi Chen, Jian Mu, Peter P. Lee, Kim R. M. Blenman, Zhuowen Tu
2015 J jnl
Convolutional Pseudo-Prior for Structured Labeling.
CoRR
Saining Xie, Xun Huang, Zhuowen Tu
2015 A conf
Deeply-Supervised Nets.
AISTATS
Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu
2015 J jnl
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree.
CoRR
Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu
2015 A* conf
Holistically-Nested Edge Detection.
ICCV
Saining Xie, Zhuowen Tu
2015 J jnl
Holistically-Nested Edge Detection.
CoRR
Saining Xie, Zhuowen Tu
2015 J jnl
Robust L
IEEE Trans. Signal Process.
Jiayi Ma, Weichao Qiu, Ji Zhao, Yong Ma, Alan L. Yuille, Zhuowen Tu
2015 — conf
Structural Edge Detection for Cardiovascular Modeling.
MICCAI (3)
Jameson Tyler Merkow, Zhuowen Tu, David J. Kriegman, Alison L. Marsden
2015 J jnl
Training Deeper Convolutional Networks with Deep Supervision.
CoRR
Liwei Wang, Chen-Yu Lee, Zhuowen Tu, Svetlana Lazebnik
2015 J jnl
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric I-Chao Chang, Zhuowen Tu
2015 J jnl
What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks.
CoRR
Patrick W. Gallagher, Shuai Tang, Zhuowen Tu
2014 — conf
Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity.
ACCV (5)
Yuwang Wang, Baoyuan Wang, Yizhou Yu, Qionghai Dai, Zhuowen Tu
2014 J jnl
Deeply-Supervised Nets.
CoRR
Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu
2014 J jnl
Exemplar-Based Human Action Pose Correction.
IEEE Trans. Cybern.
Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Baining Guo, Zhuowen Tu
2014 B conf
Harvesting Motion Patterns in Still Images from the Internet.
CogSci
Jiajun Wu, Yining Wang, Zhulin Li, Zhuowen Tu
2014 J jnl
Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations.
CoRR
Zhuowen Tu, Piotr Dollár, Yingnian Wu
2014 A conf
Learning to Predict from Crowdsourced Data.
UAI
Wei Bi, Liwei Wang, James T. Kwok, Zhuowen Tu
2014 A* conf
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation.
CVPR
Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu, Siwei Luo, Zhuowen Tu
2014 — ed.
Medical Computer Vision. Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers
MCV
Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Zhuowen Tu
2014 A conf
Reverse Image Segmentation: A High-Level Solution to a Low-Level Task.
BMVC
Jiajun Wu, Junyan Zhu, Zhuowen Tu
2014 J jnl
Robust Point Matching via Vector Field Consensus.
IEEE Trans. Image Process.
Jiayi Ma, Ji Zhao, Jinwen Tian, Alan L. Yuille, Zhuowen Tu
2014 J jnl
Robust Subspace Discovery via Relaxed Rank Minimization.
Neural Comput.
Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu
2014 A conf
Scale-Space SIFT flow.
WACV
Weichao Qiu, Xinggang Wang, Xiang Bai, Alan L. Yuille, Zhuowen Tu
2014 J jnl
Symmetry Constraint for Foreground Extraction.
IEEE Trans. Cybern.
Huazhu Fu, Xiaochun Cao, Zhuowen Tu, Dongdai Lin
2014 J jnl
Weakly supervised histopathology cancer image segmentation and classification.
Medical Image Anal.
Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Maode Lai, Zhuowen Tu
2013 A* conf
Action Recognition with Actons.
ICCV
Jun Zhu, Baoyuan Wang, Xiaokang Yang, Wenjun Zhang, Zhuowen Tu
2013 J jnl
Cluster-Based Co-Saliency Detection.
IEEE Trans. Image Process.
Huazhu Fu, Xiaochun Cao, Zhuowen Tu
2013 J jnl
Deformable Templates Guided Discriminative Models for Robust 3D Brain MRI Segmentation.
Neuroinformatics
Cheng-Yi Liu, Juan Eugenio Iglesias, Zhuowen Tu
2013 A* conf
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification.
ICCV
Bo Wang, Zhuowen Tu, John K. Tsotsos
2013 — conf
Fixed-Point Model For Structured Labeling.
ICML (1)
Quannan Li, Jingdong Wang, David P. Wipf, Zhuowen Tu
2013 A* conf
Harvesting Mid-level Visual Concepts from Large-Scale Internet Images.
CVPR
Quannan Li, Jiajun Wu, Zhuowen Tu
2013 — conf
Max-Margin Multiple-Instance Dictionary Learning.
ICML (3)
Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, Zhuowen Tu
2013 — ed.
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers
MCV
Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi
2013 — conf
Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013).
MCV
Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Zhuowen Tu, Oscar Alfonso Jiménez del Toro
2013 J jnl
Regularized vector field learning with sparse approximation for mismatch removal.
Pattern Recognit.
Jiayi Ma, Ji Zhao, Jinwen Tian, Xiang Bai, Zhuowen Tu
2013 A* conf
Robust Estimation of Nonrigid Transformation for Point Set Registration.
CVPR
Jiayi Ma, Ji Zhao, Jinwen Tian, Zhuowen Tu, Alan L. Yuille
2013 J jnl
Scalable $k$-NN graph construction.
CoRR
Jingdong Wang, Jing Wang, Gang Zeng, Zhuowen Tu, Rui Gan, Shipeng Li
2013 A* conf
Sparse Subspace Denoising for Image Manifolds.
CVPR
Bo Wang, Zhuowen Tu
2013 J jnl
Whole-body anatomy localization via classification and regression forests.
Medical Image Anal.
Bjoern Holger Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi
2012 J jnl
A classification approach to coreference in discharge summaries: 2011 i2b2 challenge.
J. Am. Medical Informatics Assoc.
Yan Xu, Jiahua Liu, Jiajun Wu, Yue Wang, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric I-Chao Chang
2012 A* conf
Affinity learning via self-diffusion for image segmentation and clustering.
CVPR
Bo Wang, Zhuowen Tu
2012 J jnl
Co-Transduction for Shape Retrieval.
IEEE Trans. Image Process.
Xiang Bai, Bo Wang, Cong Yao, Wenyu Liu, Zhuowen Tu
2012 — conf
Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation.
MICCAI (3)
Yan Xu, Jianwen Zhang, Eric I-Chao Chang, Maode Lai, Zhuowen Tu
2012 A* conf
Detecting texts of arbitrary orientations in natural images.
CVPR
Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu
2012 — conf
Disagreement-Based Multi-system Tracking.
ACCV Workshops (2)
Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu
2012 A* conf
Discriminative Clustering via Generative Feature Mapping.
AAAI
Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia
2012 A* conf
Exemplar-based human action pose correction and tagging.
CVPR
Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Baining Guo, Zhuowen Tu
2012 J jnl
Fast Approximate Stochastic Tractography.
Neuroinformatics
Juan Eugenio Iglesias, Paul M. Thompson, Cheng-Yi Liu, Zhuowen Tu
2012 A* conf
Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering.
CVPR
Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Zhuowen Tu
2012 — conf
One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery.
ACCV (1)
Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu
2012 — conf
Pictorial multi-atlas segmentation of brain MRI.
MMBIA
Cheng-Yi Liu, Juan Eugenio Iglesias, Zhuowen Tu
2012 — conf
Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification.
MCV
Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu
2012 — conf
Randomness and sparsity induced codebook learning with application to cancer image classification.
CVPR Workshops
Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu
2012 A* conf
Scalable k-NN graph construction for visual descriptors.
CVPR
Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, Rui Gan, Shipeng Li
2012 A* conf
Unsupervised metric fusion by cross diffusion.
CVPR
Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, Zhuowen Tu
2012 A* conf
Unsupervised object class discovery via saliency-guided multiple class learning.
CVPR
Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I-Chao Chang, Zhuowen Tu
2011 J jnl
Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment.
NeuroImage
Sergi G. Costafreda, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Cheng-Yi Liu, Iwona Kloszewska, Patrizia Mecocci, Hilkka Soininen, Magda Tsolaki, Bruno Vellas, Lars-Olof Wahlund, Christian Spenger, Arthur W. Toga, Simon Lovestone, Andrew Simmons
2011 — conf
Classification of Alzheimer's Disease Using a Self-Smoothing Operator.
MICCAI (3)
Juan Eugenio Iglesias, Jiayan Jiang, Cheng-Yi Liu, Zhuowen Tu
2011 — conf
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning.
IPMI
Juan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, Zhuowen Tu, Antonio Criminisi
2011 A* conf
Learning a mixture of sparse distance metrics for classification and dimensionality reduction.
ICCV
Yi Hong, Quannan Li, Jiayan Jiang, Zhuowen Tu
2011 — ed.
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers
MCV
Bjoern H. Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi
2011 J jnl
Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods.
IEEE Trans. Medical Imaging
Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thompson, Zhuowen Tu
2011 — conf
Robust Skull Stripping of Clinical Glioblastoma Multiforme Data.
MICCAI (3)
William Speier, Juan Eugenio Iglesias, Leila El-Kara, Zhuowen Tu, Corey W. Arnold
2011 A* conf
Unsupervised metric learning by Self-Smoothing Operator.
ICCV
Jiayan Jiang, Bo Wang, Zhuowen Tu
2010 — conf
Agreement-Based Semi-supervised Learning for Skull Stripping.
MICCAI (3)
Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thompson, Zhuowen Tu
2010 J jnl
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhuowen Tu, Xiang Bai
2010 — conf
Co-transduction for Shape Retrieval.
ECCV (3)
Xiang Bai, Bo Wang, Xinggang Wang, Wenyu Liu, Zhuowen Tu
2010 J jnl
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation.
IEEE Trans. Medical Imaging
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Arthur W. Toga, Paul M. Thompson
2010 J jnl
Detecting object boundaries using low-, mid-, and high-level information.
Comput. Vis. Image Underst.
Songfeng Zheng, Alan L. Yuille, Zhuowen Tu
2010 — conf
Discretizing stochastic tractography: a fast implementation.
ISBI
Juan Eugenio Iglesias, Paul M. Thompson, Cheng-Yi Liu, Zhuowen Tu
2010 — conf
Fusing adaptive atlas and informative features for robust 3D brain image segmentation.
ISBI
Cheng-Yi Liu, Juan Eugenio Iglesias, Arthur W. Toga, Zhuowen Tu
2010 J jnl
Learning Context-Sensitive Shape Similarity by Graph Transduction.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu
2010 — conf
Object Recognition Using Junctions.
ECCV (5)
Bo Wang, Xiang Bai, Xinggang Wang, Wenyu Liu, Zhuowen Tu
2010 — conf
Sparse semi-supervised learning for perceptual grouping.
CVPR Workshops
Yi Hong, Jiayan Jiang, Zhuowen Tu
2010 — conf
Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis.
MICCAI (3)
Juan Eugenio Iglesias, Ivo D. Dinov, Jaskaran Singh, Gregory Tong, Zhuowen Tu
2009 A* conf
Active skeleton for non-rigid object detection.
ICCV
Xiang Bai, Xinggang Wang, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu
2009 J jnl
Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls.
NeuroImage
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Christina Avedissian, Sarah K. Madsen, Neelroop Parikshak, Arthur W. Toga, Clifford R. Jack Jr., Norbert Schuff, Michael W. Weiner, Paul M. Thompson, Alzheimer's Disease Neuroimaging Initiative
2009 J jnl
Corrigendum to "Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls" [NeuroImage 43 (2008) 59-68].
NeuroImage
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Christina Avedissian, Sarah K. Madsen, Neelroop Parikshak, Xue Hua, Arthur W. Toga, Clifford R. Jack Jr., Michael W. Weiner, Paul M. Thompson
2009 A* conf
Efficient scale space auto-context for image segmentation and labeling.
CVPR
Jiayan Jiang, Zhuowen Tu
2009 A conf
Integral Channel Features.
BMVC
Piotr Dollár, Zhuowen Tu, Pietro Perona, Serge J. Belongie
2009 — conf
Integrating contour and skeleton for shape classification.
ICCV Workshops
Xiang Bai, Wenyu Liu, Zhuowen Tu
2009 J jnl
Joint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors.
IEEE Trans. Medical Imaging
Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga
2009 — conf
Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation.
MICCAI (1)
Jonathan H. Morra, Zhuowen Tu, Arthur W. Toga, Paul M. Thompson
2009 A* conf
Shape band: A deformable object detection approach.
CVPR
Xiang Bai, Quannan Li, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu
2009 — conf
Wavelet-Based Representation of Biological Shapes.
ISVC (1)
Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Yalin Wang, Arthur W. Toga
2008 A* conf
Auto-context and its application to high-level vision tasks.
CVPR
Zhuowen Tu
2008 — conf
Automatic Subcortical Segmentation Using a Contextual Model.
MICCAI (1)
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Arthur W. Toga, Paul M. Thompson
2008 J jnl
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models.
IEEE Trans. Medical Imaging
Zhuowen Tu, Katherine L. Narr, Piotr Dollár, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga
2008 A* conf
Graph-shifts: Natural image labeling by dynamic hierarchical computing.
CVPR
Jason J. Corso, Alan L. Yuille, Zhuowen Tu
2008 — conf
Improving Shape Retrieval by Learning Graph Transduction.
ECCV (4)
Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuowen Tu
2008 A* conf
Learning based coarse-to-fine image registration.
CVPR
Jiayan Jiang, Songfeng Zheng, Arthur W. Toga, Zhuowen Tu
2008 C conf
MRF Labeling with a Graph-Shifts Algorithm.
IWCIA
Jason J. Corso, Zhuowen Tu, Alan L. Yuille
2008 — conf
Mapping hippocampal degeneration in 400 subjects with a novel automated segmentation approach.
ISBI
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Christina Avedissian, Sarah K. Madsen, Neelroop Parikshak, Xue Hua, Arthur W. Toga, Clifford R. Jack, Norbert Schuff, Michael Weiner, Paul M. Thompson
2008 — conf
Multiple Component Learning for Object Detection.
ECCV (2)
Piotr Dollár, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu
2008 J jnl
Shape matching and registration by data-driven EM.
Comput. Vis. Image Underst.
Zhuowen Tu, Songfeng Zheng, Alan L. Yuille
2008 J jnl
Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls.
NeuroImage
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Christina Avedissian, Sarah K. Madsen, Neelroop Parikshak, Xue Hua, Arthur W. Toga, Clifford R. Jack Jr., Michael W. Weiner, Paul M. Thompson
2007 J jnl
Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach.
IEEE Trans. Medical Imaging
Zhuowen Tu, Songfeng Zheng, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga
2007 A* conf
Detecting Object Boundaries Using Low-, Mid-, and High-level Information.
CVPR
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille
2007 J jnl
Direct mapping of hippocampal surfaces with intrinsic shape context.
NeuroImage
Yonggang Shi, Paul M. Thompson, Greig I. de Zubicaray, Stephen E. Rose, Zhuowen Tu, Ivo D. Dinov, Arthur W. Toga
2007 A* conf
Feature Mining for Image Classification.
CVPR
Piotr Dollár, Zhuowen Tu, Hai Tao, Serge J. Belongie
2007 — conf
Joint Sulci Detection Using Graphical Models and Boosted Priors.
IPMI
Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga
2007 A* conf
Learning Generative Models via Discriminative Approaches.
CVPR
Zhuowen Tu
2007 — conf
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm.
IPMI
Jason J. Corso, Zhuowen Tu, Alan L. Yuille, Arthur W. Toga
2007 — conf
Towards Whole Brain Segmentation by a Hybrid Model.
MICCAI (2)
Zhuowen Tu, Arthur W. Toga
2006 — conf
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci.
MICCAI (1)
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Paul M. Thompson, Ivo D. Dinov, Arthur W. Toga
2006 — conf
A Learning Based Approach for 3D Segmentation and Colon Detagging.
ECCV (3)
Zhuowen Tu, Xiang Sean Zhou, Dorin Comaniciu, Luca Bogoni
2006 — conf
Image Parsing: Unifying Segmentation, Detection, and Recognition.
Toward Category-Level Object Recognition
Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu
2006 — conf
Lung Tumor Diagnosis and Subtype Discovery by Gene Expression Profiling.
EMBC
Lu-Yong Wang, Zhuowen Tu
2006 J jnl
Parsing Images into Regions, Curves, and Curve Groups.
Int. J. Comput. Vis.
Zhuowen Tu, Song Chun Zhu
2006 — conf
Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment.
CVPR (2)
Zhuowen Tu, Xiang Sean Zhou, Luca Bogoni, Adrian Barbu, Dorin Comaniciu
2006 — conf
Supervised Learning of Edges and Object Boundaries.
CVPR (2)
Piotr Dollár, Zhuowen Tu, Serge J. Belongie
2005 A* conf
An Integrated Framework for Image Segmentation and Perceptual Grouping.
ICCV
Zhuowen Tu
2005 J jnl
Image Parsing: Unifying Segmentation, Detection, and Recognition.
Int. J. Comput. Vis.
Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu
2005 A* conf
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering.
ICCV
Zhuowen Tu
2004 J jnl
Range Image Segmentation by an Effective Jump-Diffusion Method.
IEEE Trans. Pattern Anal. Mach. Intell.
Feng Han, Zhuowen Tu, Song Chun Zhu
2004 — conf
Shape Matching and Recognition - Using Generative Models and Informative Features.
ECCV (3)
Zhuowen Tu, Alan L. Yuille
2003 A* conf
Image Parsing: Unifying Segmentation, Detection, and Recognition.
ICCV
Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu
2002 — conf
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction.
ECCV (3)
Feng Han, Zhuowen Tu, Song Chun Zhu
2002 J jnl
Image Segmentation by Data-Driven Markov Chain Monte Carlo.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhuowen Tu, Song Chun Zhu
2002 — conf
Parsing Images into Region and Curve Processes.
ECCV (3)
Zhuowen Tu, Song Chun Zhu
2001 A* conf
Image Segmentation by Data Driven Markov Chain Monte Carlo.
ICCV
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
2000 A* conf
Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo.
CVPR
Song Chun Zhu, Rong Zhang, Zhuowen Tu