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ORCIDZhuowen Tu
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- affiliation: University of California, San Diego, USA
- affiliation (former): University of California, Los Angeles, USA
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2020 – today
- 2024
[c140]Wenbo Hu, Yifan Xu, Yi Li, Weiyue Li, Zeyuan Chen, Zhuowen Tu:
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions. AAAI 2024: 2256-2264- [c139]Zheng Ding, Xuaner Zhang, Zhuowen Tu, Zhihao Xia:
Restoration by Generation with Constrained Priors. CVPR 2024: 2567-2577 - [c138]Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha, Zirui Wang, Zhuowen Tu:
OmniControlNet: Dual-stage Integration for Conditional Image Generation. CVPR Workshops 2024: 7436-7448 - [c137]Shengyi Qian, Weifeng Chen, Min Bai, Xiong Zhou, Zhuowen Tu, Li Erran Li:
AffordanceLLM: Grounding Affordance from Vision Language Models. CVPR Workshops 2024: 7587-7597 - [c136]Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang:
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data. CVPR 2024: 8521-8531 - [c135]Zirui Wang, Zhizhou Sha, Zheng Ding, Yilin Wang, Zhuowen Tu:
TokenCompose: Text-to-Image Diffusion with Token-Level Supervision. CVPR 2024: 8553-8564 - [c134]Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto:
On the Scalability of Diffusion-based Text-to-Image Generation. CVPR 2024: 9400-9409 - [c133]Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao, Yilin Wang, Zhuowen Tu:
Bayesian Diffusion Models for 3D Shape Reconstruction. CVPR 2024: 10628-10638 - [c132]Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Zhuowen Tu, Vijay Mahadevan, Stefano Soatto:
Enhancing Vision-Language Pre-Training with Rich Supervisions. CVPR 2024: 13480-13491 - [c131]Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto:
Non-autoregressive Sequence-to-Sequence Vision-Language Models. CVPR 2024: 13603-13612 - [c130]Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu:
Patched Denoising Diffusion Models For High-Resolution Image Synthesis. ICLR 2024 - [i74]Shengyi Qian, Weifeng Chen, Min Bai, Xiong Zhou, Zhuowen Tu, Li Erran Li:
AffordanceLLM: Grounding Affordance from Vision Language Models. CoRR abs/2401.06341 (2024) - [i73]Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto:
Non-autoregressive Sequence-to-Sequence Vision-Language Models. CoRR abs/2403.02249 (2024) - [i72]Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Vijay Mahadevan, Zhuowen Tu, Stefano Soatto:
Enhancing Vision-Language Pre-training with Rich Supervisions. CoRR abs/2403.03346 (2024) - [i71]Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao, Yilin Wang, Zhuowen Tu:
Bayesian Diffusion Models for 3D Shape Reconstruction. CoRR abs/2403.06973 (2024) - [i70]Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang:
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data. CoRR abs/2403.12011 (2024) - [i69]Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto:
On the Scalability of Diffusion-based Text-to-Image Generation. CoRR abs/2404.02883 (2024) - [i68]Xiaolong Li, Jiawei Mo, Ying Wang, Chethan Parameshwara, Xiaohan Fei, Ashwin Swaminathan, CJ Taylor, Zhuowen Tu, Paolo Favaro, Stefano Soatto:
Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model. CoRR abs/2404.18065 (2024) - [i67]Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha, Zirui Wang, Zhuowen Tu:
OmniControlNet: Dual-stage Integration for Conditional Image Generation. CoRR abs/2406.05871 (2024) - [i66]Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin K. Bergen:
Goldfish: Monolingual Language Models for 350 Languages. CoRR abs/2408.10441 (2024) - [i65]Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer:
Open-World Dynamic Prompt and Continual Visual Representation Learning. CoRR abs/2409.05312 (2024) - 2023
- [c129]Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto:
Guided Recommendation for Model Fine-Tuning. CVPR 2023: 3633-3642 - [c128]Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang:
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing. CVPR 2023: 12736-12746 - [c127]Xin Xu, Tianyi Xiong, Zheng Ding, Zhuowen Tu:
MasQCLIP for Open-Vocabulary Universal Image Segmentation. ICCV 2023: 887-898 - [c126]Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su:
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. ICCV 2023: 2416-2425 - [c125]Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su:
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. ICCV 2023: 2492-2503 - [c124]Xiang Zhang, Zeyuan Chen, Fangyin Wei, Zhuowen Tu:
Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction. ICCV 2023: 9222-9232 - [c123]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towards Skeleton-based Action Recognition in the Wild. ICCV 2023: 13588-13598 - [c122]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:
Object-Centric Multiple Object Tracking. ICCV 2023: 16555-16565 - [c121]Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan:
DocTr: Document Transformer for Structured Information Extraction in Documents. ICCV 2023: 19527-19537 - [c120]Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu:
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning. ICLR 2023 - [c119]Zheng Ding, Jieke Wang, Zhuowen Tu:
Open-Vocabulary Universal Image Segmentation with MaskCLIP. ICML 2023: 8090-8102 - [i64]Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang:
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing. CoRR abs/2304.06711 (2023) - [i63]Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su:
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. CoRR abs/2304.06714 (2023) - [i62]Zhaoyang Zhang, Yantao Shen, Kunyu Shi, Zhaowei Cai, Jun Fang, Siqi Deng, Hao Yang, Davide Modolo, Zhuowen Tu, Stefano Soatto:
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts. CoRR abs/2305.07019 (2023) - [i61]Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su:
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. CoRR abs/2307.03135 (2023) - [i60]Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan:
DocTr: Document Transformer for Structured Information Extraction in Documents. CoRR abs/2307.07929 (2023) - [i59]Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu:
Patched Denoising Diffusion Models For High-Resolution Image Synthesis. CoRR abs/2308.01316 (2023) - [i58]Wenbo Hu, Yifan Xu, Yi Li, Weiyue Li, Zeyuan Chen, Zhuowen Tu:
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions. CoRR abs/2308.09936 (2023) - [i57]Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen:
Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability. CoRR abs/2308.15419 (2023) - [i56]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:
Object-Centric Multiple Object Tracking. CoRR abs/2309.00233 (2023) - [i55]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. CoRR abs/2309.11445 (2023) - [i54]Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhizhou Sha, Zhuowen Tu:
Dolfin: Diffusion Layout Transformers without Autoencoder. CoRR abs/2310.16305 (2023) - [i53]Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin K. Bergen:
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages. CoRR abs/2311.09205 (2023) - [i52]Zirui Wang, Zhizhou Sha, Zheng Ding, Yilin Wang, Zhuowen Tu:
TokenCompose: Grounding Diffusion with Token-level Supervision. CoRR abs/2312.03626 (2023) - [i51]Zheng Ding, Xuaner Zhang, Zhuowen Tu, Zhihao Xia:
Restoration by Generation with Constrained Priors. CoRR abs/2312.17161 (2023) - 2022
- [j40]Jingdong Wang, Zhuowen Tu, Jianlong Fu, Nicu Sebe, Serge J. Belongie:
Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 560-562 (2022) - [c118]Justin Lazarow, Weijian Xu, Zhuowen Tu:
Instance Segmentation with Mask-supervised Polygonal Boundary Transformers. CVPR 2022: 4372-4381 - [c117]Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
MeMOT: Multi-Object Tracking with Memory. CVPR 2022: 8080-8090 - [c116]Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu:
Text Spotting Transformers. CVPR 2022: 9509-9518 - [c115]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. ECCV (36) 2022: 290-308 - [c114]Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen:
The Geometry of Multilingual Language Model Representations. EMNLP 2022: 119-136 - [c113]Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. ICLR 2022 - [c112]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. NeurIPS 2022 - [c111]Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. NeurIPS 2022 - [i50]Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto:
Contrastive Neighborhood Alignment. CoRR abs/2201.01922 (2022) - [i49]Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
MeMOT: Multi-Object Tracking with Memory. CoRR abs/2203.16761 (2022) - [i48]Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu:
Text Spotting Transformers. CoRR abs/2204.01918 (2022) - [i47]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. CoRR abs/2204.05626 (2022) - [i46]Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto:
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training. CoRR abs/2205.06265 (2022) - [i45]Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen:
The Geometry of Multilingual Language Model Representations. CoRR abs/2205.10964 (2022) - [i44]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. CoRR abs/2208.05688 (2022) - [i43]Zheng Ding, Jieke Wang, Zhuowen Tu:
Open-Vocabulary Panoptic Segmentation with MaskCLIP. CoRR abs/2208.08984 (2022) - [i42]Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. CoRR abs/2210.00129 (2022) - [i41]Zheng Ding, James Hou, Zhuowen Tu:
Point Cloud Recognition with Position-to-Structure Attention Transformers. CoRR abs/2210.02030 (2022) - [i40]Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu:
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning. CoRR abs/2210.10763 (2022) - 2021
- [j39]Gang Hua, Derek Hoiem, Abhinav Gupta, Zhuowen Tu:
Editorial: Introduction to the Special Section on CVPR2019 Best Papers. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4203-4204 (2021) - [c110]Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. ACL/IJCNLP (1) 2021: 4322-4333 - [c109]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. CVPR 2021: 194-203 - [c108]Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu:
Dual Contradistinctive Generative Autoencoder. CVPR 2021: 823-832 - [c107]Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Pose Recognition With Cascade Transformers. CVPR 2021: 1944-1953 - [c106]Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu:
Line Segment Detection Using Transformers Without Edges. CVPR 2021: 4257-4266 - [c105]Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-Aware Heterogeneous Visual Search. CVPR 2021: 10723-10732 - [c104]Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. ICCV 2021: 3530-3539 - [c103]Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu:
Co-Scale Conv-Attentional Image Transformers. ICCV 2021: 9961-9970 - [c102]Weijian Xu, Yifan Xu, Huaijin Wang, Zhuowen Tu:
Attentional Constellation Nets for Few-Shot Learning. ICLR 2021 - [c101]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. NeurIPS 2021: 1086-1099 - [i39]Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu:
Line Segment Detection Using Transformers without Edges. CoRR abs/2101.01909 (2021) - [i38]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR abs/2101.08482 (2021) - [i37]Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu:
Co-Scale Conv-Attentional Image Transformers. CoRR abs/2104.06399 (2021) - [i36]Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Pose Recognition with Cascade Transformers. CoRR abs/2104.06976 (2021) - [i35]Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Composite Set Detection Using Part-and-Sum Transformers. CoRR abs/2105.02170 (2021) - [i34]Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-aware Heterogeneous Visual Search. CoRR abs/2105.06047 (2021) - [i33]Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. CoRR abs/2106.05505 (2021) - [i32]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. CoRR abs/2107.03377 (2021) - [i31]Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. CoRR abs/2107.04589 (2021) - [i30]Sainan Liu, Vincent Nguyen, Yuan Gao, Subarna Tripathi, Zhuowen Tu:
Towards Panoptic 3D Parsing for Single Image in the Wild. CoRR abs/2111.03039 (2021) - 2020
- [j38]Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, Rajesh K. Gupta:
Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations. IEEE Des. Test 37(5): 75-84 (2020) - [c100]Qimin Chen, Vincent Nguyen, Feng Han, Raimondas Kiveris, Zhuowen Tu:
Topology-Aware Single-Image 3D Shape Reconstruction. CVPR Workshops 2020: 1089-1097 - [c99]Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu:
Guided Variational Autoencoder for Disentanglement Learning. CVPR 2020: 7917-7926 - [c98]Justin Lazarow, Kwonjoon Lee, Kunyu Shi, Zhuowen Tu:
Learning Instance Occlusion for Panoptic Segmentation. CVPR 2020: 10717-10726 - [c97]Sainan Liu, Vincent Nguyen, Isaac Rehg, Zhuowen Tu:
Recognizing Objects From Any View With Object and Viewer-Centered Representations. CVPR 2020: 11781-11790 - [c96]Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu:
One-Pixel Signature: Characterizing CNN Models for Backdoor Detection. ECCV (27) 2020: 326-341 - [c95]Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh K. Gupta, Zhuowen Tu:
Local Binary Pattern Networks. WACV 2020: 814-823 - [i29]Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu:
Guided Variational Autoencoder for Disentanglement Learning. CoRR abs/2004.01255 (2020) - [i28]Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu:
One-pixel Signature: Characterizing CNN Models for Backdoor Detection. CoRR abs/2008.07711 (2020) - [i27]Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu:
Dual Contradistinctive Generative Autoencoder. CoRR abs/2011.10063 (2020)
2010 – 2019
- 2019
- [j37]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply Supervised Salient Object Detection with Short Connections. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 815-828 (2019) - [j36]Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Deep FisherNet for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2244-2250 (2019) - [c94]Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu:
3D Volumetric Modeling with Introspective Neural Networks. AAAI 2019: 8481-8488 - [c93]Weijian Xu, Gaurav Parmar, Zhuowen Tu:
Geometry-Aware End-to-End Skeleton Detection. BMVC 2019: 256 - [c92]Jeng-Hau Lin, Atieh Lotfi, Vahideh Akhlaghi, Zhuowen Tu, Rajesh K. Gupta:
Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs. DATE 2019: 1112-1117 - [i26]Justin Lazarow, Kwonjoon Lee, Zhuowen Tu:
Learning Instance Occlusion for Panoptic Segmentation. CoRR abs/1906.05896 (2019) - [i25]Siyang Wang, Justin Lazarow, Kwonjoon Lee, Zhuowen Tu:
Unaligned Image-to-Sequence Transformation with Loop Consistency. CoRR abs/1910.04149 (2019) - [i24]Yifan Xu, Lu Dai, Udaikaran Singh, Kening Zhang, Zhuowen Tu:
Neural Program Synthesis By Self-Learning. CoRR abs/1910.05865 (2019) - [i23]Yifan Xu, Kening Zhang, Haoyu Dong, Yuezhou Sun, Wenlong Zhao, Zhuowen Tu:
Rethinking Exposure Bias In Language Modeling. CoRR abs/1910.11235 (2019) - 2018
- [j35]Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu:
Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 863-875 (2018) - [c91]Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu:
Wasserstein Introspective Neural Networks. CVPR 2018: 3702-3711 - [c90]Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu:
Attentional ShapeContextNet for Point Cloud Recognition. CVPR 2018: 4606-4615 - [c89]Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. ECCV (15) 2018: 318-335 - [c88]Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang:
Deep Convolutional Neural Networks with Merge-and-Run Mappings. IJCAI 2018: 3170-3176 - [i22]Jeng-Hau Lin, Yunfan Yang, Rajesh K. Gupta, Zhuowen Tu:
Local Binary Pattern Networks. CoRR abs/1803.07125 (2018) - 2017
- [j34]Saining Xie, Zhuowen Tu:
Holistically-Nested Edge Detection. Int. J. Comput. Vis. 125(1-3): 3-18 (2017) - [c87]Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta:
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration. CVPR Workshops 2017: 344-352 - [c86]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply Supervised Salient Object Detection with Short Connections. CVPR 2017: 5300-5309 - [c85]Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. CVPR 2017: 5987-5995 - [c84]Justin Lazarow, Long Jin, Zhuowen Tu:
Introspective Neural Networks for Generative Modeling. ICCV 2017: 2793-2802 - [c83]Long Jin, Justin Lazarow, Zhuowen Tu:
Introspective Classification with Convolutional Nets. NIPS 2017: 823-833 - [i21]Long Jin, Justin Lazarow, Zhuowen Tu:
Introspective Classifier Learning: Empower Generatively. CoRR abs/1704.07816 (2017) - [i20]Justin Lazarow, Long Jin, Zhuowen Tu:
Introspective Generative Modeling: Decide Discriminatively. CoRR abs/1704.07820 (2017) - [i19]Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta:
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration. CoRR abs/1707.04693 (2017) - [i18]Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu:
Wasserstein Introspective Neural Networks. CoRR abs/1711.08875 (2017) - [i17]Jameson Tyler Merkow, Robert B. Lufkin, Kim Nguyen, Stefano Soatto, Zhuowen Tu, Andrea Vedaldi:
DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images. CoRR abs/1711.09313 (2017) - [i16]Zhiwei Jia, Haoshen Hong, Siyang Wang, Zhuowen Tu:
Top-down Flow Transformer Networks. CoRR abs/1712.02400 (2017) - [i15]Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning For Video Understanding. CoRR abs/1712.04851 (2017) - 2016
- [c82]Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu:
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree. AISTATS 2016: 464-472 - [c81]Saining Xie, Xun Huang, Zhuowen Tu:
Top-Down Learning for Structured Labeling with Convolutional Pseudoprior. ECCV (4) 2016: 302-317 - [c80]Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu:
HFS: Hierarchical Feature Selection for Efficient Image Segmentation. ECCV (3) 2016: 867-882 - [c79]Jameson Tyler Merkow, Alison L. Marsden, David J. Kriegman, Zhuowen Tu:
Dense Volume-to-Volume Vascular Boundary Detection. MICCAI (3) 2016: 371-379 - [i14]Jameson Tyler Merkow, David J. Kriegman, Alison L. Marsden, Zhuowen Tu:
Dense Volume-to-Volume Vascular Boundary Detection. CoRR abs/1605.08401 (2016) - [i13]Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Deep FisherNet for Object Classification. CoRR abs/1608.00182 (2016) - [i12]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply supervised salient object detection with short connections. CoRR abs/1611.04849 (2016) - [i11]Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. CoRR abs/1611.05431 (2016) - [i10]Liming Zhao, Jingdong Wang, Xi Li, Zhuowen Tu, Wenjun Zeng:
On the Connection of Deep Fusion to Ensembling. CoRR abs/1611.07718 (2016) - [i9]Long Jin, Zeyu Chen, Zhuowen Tu:
Object Detection Free Instance Segmentation With Labeling Transformations. CoRR abs/1611.08991 (2016) - 2015
- [j33]Yan Xu, Weiying Wu, Eric I-Chao Chang, Danny Ziyi Chen, Jian Mu, Peter P. Lee, Kim R. M. Blenman, Zhuowen Tu:
A two-layer structure prediction framework for microscopy cell detection. Comput. Medical Imaging Graph. 41: 29-36 (2015) - [j32]Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric I-Chao Chang, Zhuowen Tu:
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 862-875 (2015) - [j31]Jiayi Ma, Weichao Qiu, Ji Zhao, Yong Ma, Alan L. Yuille, Zhuowen Tu:
Robust L2E Estimation of Transformation for Non-Rigid Registration. IEEE Trans. Signal Process. 63(5): 1115-1129 (2015) - [c78]Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu:
Deeply-Supervised Nets. AISTATS 2015 - [c77]Saining Xie, Zhuowen Tu:
Holistically-Nested Edge Detection. ICCV 2015: 1395-1403 - [c76]Jameson Tyler Merkow, Zhuowen Tu, David J. Kriegman, Alison L. Marsden:
Structural Edge Detection for Cardiovascular Modeling. MICCAI (3) 2015: 735-742 - [i8]Saining Xie, Zhuowen Tu:
Holistically-Nested Edge Detection. CoRR abs/1504.06375 (2015) - [i7]Liwei Wang, Chen-Yu Lee, Zhuowen Tu, Svetlana Lazebnik:
Training Deeper Convolutional Networks with Deep Supervision. CoRR abs/1505.02496 (2015) - [i6]Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu:
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree. CoRR abs/1509.08985 (2015) - [i5]Patrick W. Gallagher, Shuai Tang, Zhuowen Tu:
What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks. CoRR abs/1511.07125 (2015) - [i4]Saining Xie, Xun Huang, Zhuowen Tu:
Convolutional Pseudo-Prior for Structured Labeling. CoRR abs/1511.07409 (2015) - 2014
- [j30]Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Maode Lai, Zhuowen Tu:
Weakly supervised histopathology cancer image segmentation and classification. Medical Image Anal. 18(3): 591-604 (2014) - [j29]Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Robust Subspace Discovery via Relaxed Rank Minimization. Neural Comput. 26(3): 611-635 (2014) - [j28]Huazhu Fu, Xiaochun Cao, Zhuowen Tu, Dongdai Lin:
Symmetry Constraint for Foreground Extraction. IEEE Trans. Cybern. 44(5): 644-654 (2014) - [j27]Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Baining Guo, Zhuowen Tu:
Exemplar-Based Human Action Pose Correction. IEEE Trans. Cybern. 44(7): 1053-1066 (2014) - [j26]Jiayi Ma, Ji Zhao, Jinwen Tian, Alan L. Yuille, Zhuowen Tu:
Robust Point Matching via Vector Field Consensus. IEEE Trans. Image Process. 23(4): 1706-1721 (2014) - [c75]Yuwang Wang, Baoyuan Wang, Yizhou Yu, Qionghai Dai, Zhuowen Tu:
Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity. ACCV (5) 2014: 259-274 - [c74]Jiajun Wu, Junyan Zhu, Zhuowen Tu:
Reverse Image Segmentation: A High-Level Solution to a Low-Level Task. BMVC 2014 - [c73]Jiajun Wu, Yining Wang, Zhulin Li, Zhuowen Tu:
Harvesting Motion Patterns in Still Images from the Internet. CogSci 2014 - [c72]Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu, Siwei Luo, Zhuowen Tu:
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation. CVPR 2014: 256-263 - [c71]Wei Bi, Liwei Wang, James T. Kwok, Zhuowen Tu:
Learning to Predict from Crowdsourced Data. UAI 2014: 82-91 - [c70]Weichao Qiu, Xinggang Wang, Xiang Bai, Alan L. Yuille, Zhuowen Tu:
Scale-Space SIFT flow. WACV 2014: 1112-1119 - [e3]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Zhuowen Tu:
Medical Computer Vision. Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8331, Springer 2014, ISBN 978-3-319-05529-9 [contents] - [i3]Zhuowen Tu, Piotr Dollár, Yingnian Wu:
Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations. CoRR abs/1405.6804 (2014) - [i2]Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu:
Deeply-Supervised Nets. CoRR abs/1409.5185 (2014) - 2013
- [j25]Bjoern Holger Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi:
Whole-body anatomy localization via classification and regression forests. Medical Image Anal. 17(8): 1282 (2013) - [j24]Cheng-Yi Liu, Juan Eugenio Iglesias, Zhuowen Tu:
Deformable Templates Guided Discriminative Models for Robust 3D Brain MRI Segmentation. Neuroinformatics 11(4): 447-468 (2013) - [j23]Jiayi Ma, Ji Zhao, Jinwen Tian, Xiang Bai, Zhuowen Tu:
Regularized vector field learning with sparse approximation for mismatch removal. Pattern Recognit. 46(12): 3519-3532 (2013) - [j22]Huazhu Fu, Xiaochun Cao, Zhuowen Tu:
Cluster-Based Co-Saliency Detection. IEEE Trans. Image Process. 22(10): 3766-3778 (2013) - [c69]Bo Wang, Zhuowen Tu:
Sparse Subspace Denoising for Image Manifolds. CVPR 2013: 468-475 - [c68]Quannan Li, Jiajun Wu, Zhuowen Tu:
Harvesting Mid-level Visual Concepts from Large-Scale Internet Images. CVPR 2013: 851-858 - [c67]Jiayi Ma, Ji Zhao, Jinwen Tian, Zhuowen Tu, Alan L. Yuille:
Robust Estimation of Nonrigid Transformation for Point Set Registration. CVPR 2013: 2147-2154 - [c66]Bo Wang, Zhuowen Tu, John K. Tsotsos:
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification. ICCV 2013: 425-432 - [c65]Jun Zhu, Baoyuan Wang, Xiaokang Yang, Wenjun Zhang, Zhuowen Tu:
Action Recognition with Actons. ICCV 2013: 3559-3566 - [c64]Quannan Li, Jingdong Wang, David P. Wipf, Zhuowen Tu:
Fixed-Point Model For Structured Labeling. ICML (1) 2013: 214-221 - [c63]Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Max-Margin Multiple-Instance Dictionary Learning. ICML (3) 2013: 846-854 - [c62]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Zhuowen Tu, Oscar Alfonso Jiménez del Toro:
Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013). MCV 2013: 3-10 - [e2]Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi:
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7766, Springer 2013, ISBN 978-3-642-36619-2 [contents] - [i1]Jingdong Wang, Jing Wang, Gang Zeng, Zhuowen Tu, Rui Gan, Shipeng Li:
Scalable $k$-NN graph construction. CoRR abs/1307.7852 (2013) - 2012
- [j21]Yan Xu, Jiahua Liu, Jiajun Wu, Yue Wang, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric I-Chao Chang:
A classification approach to coreference in discharge summaries: 2011 i2b2 challenge. J. Am. Medical Informatics Assoc. 19(5): 897-905 (2012) - [j20]Juan Eugenio Iglesias, Paul M. Thompson, Cheng-Yi Liu, Zhuowen Tu:
Fast Approximate Stochastic Tractography. Neuroinformatics 10(1): 5-17 (2012) - [j19]Xiang Bai, Bo Wang, Cong Yao, Wenyu Liu, Zhuowen Tu:
Co-Transduction for Shape Retrieval. IEEE Trans. Image Process. 21(5): 2747-2757 (2012) - [c61]Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia:
Discriminative Clustering via Generative Feature Mapping. AAAI 2012: 1162-1168 - [c60]Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu:
One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery. ACCV (1) 2012: 246-258 - [c59]Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu:
Disagreement-Based Multi-system Tracking. ACCV Workshops (2) 2012: 320-334 - [c58]Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu:
Randomness and sparsity induced codebook learning with application to cancer image classification. CVPR Workshops 2012: 16-23 - [c57]Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Zhuowen Tu:
Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering. CVPR 2012: 964-971 - [c56]Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu:
Detecting texts of arbitrary orientations in natural images. CVPR 2012: 1083-1090 - [c55]Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, Rui Gan, Shipeng Li:
Scalable k-NN graph construction for visual descriptors. CVPR 2012: 1106-1113 - [c54]Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Baining Guo, Zhuowen Tu:
Exemplar-based human action pose correction and tagging. CVPR 2012: 1784-1791 - [c53]Bo Wang, Zhuowen Tu:
Affinity learning via self-diffusion for image segmentation and clustering. CVPR 2012: 2312-2319 - [c52]Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, Zhuowen Tu:
Unsupervised metric fusion by cross diffusion. CVPR 2012: 2997-3004 - [c51]Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I-Chao Chang, Zhuowen Tu:
Unsupervised object class discovery via saliency-guided multiple class learning. CVPR 2012: 3218-3225 - [c50]Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu:
Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification. MCV 2012: 181-193 - [c49]Yan Xu, Jianwen Zhang, Eric I-Chao Chang, Maode Lai, Zhuowen Tu:
Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation. MICCAI (3) 2012: 623-630 - [c48]Cheng-Yi Liu, Juan Eugenio Iglesias, Zhuowen Tu:
Pictorial multi-atlas segmentation of brain MRI. MMBIA 2012: 65-70 - 2011
- [j18]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:
Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment. NeuroImage 56(1): 212-219 (2011) - [j17]Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thompson, Zhuowen Tu:
Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods. IEEE Trans. Medical Imaging 30(9): 1617-1634 (2011) - [c47]Jiayan Jiang, Bo Wang, Zhuowen Tu:
Unsupervised metric learning by Self-Smoothing Operator. ICCV 2011: 794-801 - [c46]Yi Hong, Quannan Li, Jiayan Jiang, Zhuowen Tu:
Learning a mixture of sparse distance metrics for classification and dimensionality reduction. ICCV 2011: 906-913 - [c45]Juan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, Zhuowen Tu, Antonio Criminisi:
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning. IPMI 2011: 25-36 - [c44]Juan Eugenio Iglesias, Jiayan Jiang, Cheng-Yi Liu, Zhuowen Tu:
Classification of Alzheimer's Disease Using a Self-Smoothing Operator. MICCAI (3) 2011: 58-65 - [c43]William Speier, Juan Eugenio Iglesias, Leila El-Kara, Zhuowen Tu, Corey W. Arnold:
Robust Skull Stripping of Clinical Glioblastoma Multiforme Data. MICCAI (3) 2011: 659-666 - [e1]Bjoern H. Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi:
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6533, Springer 2011, ISBN 978-3-642-18420-8 [contents] - 2010
- [j16]Songfeng Zheng, Alan L. Yuille, Zhuowen Tu:
Detecting object boundaries using low-, mid-, and high-level information. Comput. Vis. Image Underst. 114(10): 1055-1067 (2010) - [j15]Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu:
Learning Context-Sensitive Shape Similarity by Graph Transduction. IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 861-874 (2010) - [j14]Zhuowen Tu, Xiang Bai:
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1744-1757 (2010) - [j13]Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Arthur W. Toga, Paul M. Thompson:
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation. IEEE Trans. Medical Imaging 29(1): 30-43 (2010) - [c42]Yi Hong, Jiayan Jiang, Zhuowen Tu:
Sparse semi-supervised learning for perceptual grouping. CVPR Workshops 2010: 1-8 - [c41]Bo Wang, Xiang Bai, Xinggang Wang, Wenyu Liu, Zhuowen Tu:
Object Recognition Using Junctions. ECCV (5) 2010: 15-28 - [c40]Xiang Bai, Bo Wang, Xinggang Wang, Wenyu Liu, Zhuowen Tu:
Co-transduction for Shape Retrieval. ECCV (3) 2010: 328-341 - [c39]Cheng-Yi Liu, Juan Eugenio Iglesias, Arthur W. Toga, Zhuowen Tu:
Fusing adaptive atlas and informative features for robust 3D brain image segmentation. ISBI 2010: 848-851 - [c38]Juan Eugenio Iglesias, Paul M. Thompson, Cheng-Yi Liu, Zhuowen Tu:
Discretizing stochastic tractography: a fast implementation. ISBI 2010: 1381-1384 - [c37]Juan Eugenio Iglesias, Ivo D. Dinov, Jaskaran Singh, Gregory Tong, Zhuowen Tu:
Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis. MICCAI (3) 2010: 81-88 - [c36]Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thompson, Zhuowen Tu:
Agreement-Based Semi-supervised Learning for Skull Stripping. MICCAI (3) 2010: 147-154
2000 – 2009
- 2009
- [j12]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:
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 44(4): 1439 (2009) - [j11]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:
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 45(1): S3-S15 (2009) - [j10]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:
Joint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors. IEEE Trans. Medical Imaging 28(3): 361-373 (2009) - [c35]Piotr Dollár, Zhuowen Tu, Pietro Perona, Serge J. Belongie:
Integral Channel Features. BMVC 2009: 1-11 - [c34]Xiang Bai, Quannan Li, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu:
Shape band: A deformable object detection approach. CVPR 2009: 1335-1342 - [c33]Jiayan Jiang, Zhuowen Tu:
Efficient scale space auto-context for image segmentation and labeling. CVPR 2009: 1810-1817 - [c32]Xiang Bai, Xinggang Wang, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu:
Active skeleton for non-rigid object detection. ICCV 2009: 575-582 - [c31]Xiang Bai, Wenyu Liu, Zhuowen Tu:
Integrating contour and skeleton for shape classification. ICCV Workshops 2009: 360-367 - [c30]Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Yalin Wang, Arthur W. Toga:
Wavelet-Based Representation of Biological Shapes. ISVC (1) 2009: 955-964 - [c29]Jonathan H. Morra, Zhuowen Tu, Arthur W. Toga, Paul M. Thompson:
Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation. MICCAI (1) 2009: 432-440 - 2008
- [j9]Zhuowen Tu, Songfeng Zheng, Alan L. Yuille:
Shape matching and registration by data-driven EM. Comput. Vis. Image Underst. 109(3): 290-304 (2008) - [j8]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:
Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls. NeuroImage 43(1): 59-68 (2008) - [j7]Zhuowen Tu, Katherine L. Narr, Piotr Dollár, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga:
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models. IEEE Trans. Medical Imaging 27(4): 495-508 (2008) - [c28]Jason J. Corso, Alan L. Yuille, Zhuowen Tu:
Graph-shifts: Natural image labeling by dynamic hierarchical computing. CVPR 2008 - [c27]Jiayan Jiang, Songfeng Zheng, Arthur W. Toga, Zhuowen Tu:
Learning based coarse-to-fine image registration. CVPR 2008 - [c26]Zhuowen Tu:
Auto-context and its application to high-level vision tasks. CVPR 2008 - [c25]Piotr Dollár, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu:
Multiple Component Learning for Object Detection. ECCV (2) 2008: 211-224 - [c24]Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuowen Tu:
Improving Shape Retrieval by Learning Graph Transduction. ECCV (4) 2008: 788-801 - [c23]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:
Mapping hippocampal degeneration in 400 subjects with a novel automated segmentation approach. ISBI 2008: 336-339 - [c22]Jason J. Corso, Zhuowen Tu, Alan L. Yuille:
MRF Labeling with a Graph-Shifts Algorithm. IWCIA 2008: 172-184 - [c21]Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Arthur W. Toga, Paul M. Thompson:
Automatic Subcortical Segmentation Using a Contextual Model. MICCAI (1) 2008: 194-201 - 2007
- [j6]Yonggang Shi, Paul M. Thompson, Greig I. de Zubicaray, Stephen E. Rose, Zhuowen Tu, Ivo D. Dinov, Arthur W. Toga:
Direct mapping of hippocampal surfaces with intrinsic shape context. NeuroImage 37(3): 792-807 (2007) - [j5]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:
Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach. IEEE Trans. Medical Imaging 26(4): 541-552 (2007) - [c20]Piotr Dollár, Zhuowen Tu, Hai Tao, Serge J. Belongie:
Feature Mining for Image Classification. CVPR 2007 - [c19]Zhuowen Tu:
Learning Generative Models via Discriminative Approaches. CVPR 2007 - [c18]Songfeng Zheng, Zhuowen Tu, Alan L. Yuille:
Detecting Object Boundaries Using Low-, Mid-, and High-level Information. CVPR 2007 - [c17]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:
Joint Sulci Detection Using Graphical Models and Boosted Priors. IPMI 2007: 98-109 - [c16]Jason J. Corso, Zhuowen Tu, Alan L. Yuille, Arthur W. Toga:
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm. IPMI 2007: 183-197 - [c15]Zhuowen Tu, Arthur W. Toga:
Towards Whole Brain Segmentation by a Hybrid Model. MICCAI (2) 2007: 169-177 - 2006
- [j4]Zhuowen Tu, Song Chun Zhu:
Parsing Images into Regions, Curves, and Curve Groups. Int. J. Comput. Vis. 69(2): 223-249 (2006) - [c14]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition. Toward Category-Level Object Recognition 2006: 545-576 - [c13]Zhuowen Tu, Xiang Sean Zhou, Luca Bogoni, Adrian Barbu, Dorin Comaniciu:
Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment. CVPR (2) 2006: 1544-1551 - [c12]Piotr Dollár, Zhuowen Tu, Serge J. Belongie:
Supervised Learning of Edges and Object Boundaries. CVPR (2) 2006: 1964-1971 - [c11]Zhuowen Tu, Xiang Sean Zhou, Dorin Comaniciu, Luca Bogoni:
A Learning Based Approach for 3D Segmentation and Colon Detagging. ECCV (3) 2006: 436-448 - [c10]Lu-Yong Wang, Zhuowen Tu:
Lung Tumor Diagnosis and Subtype Discovery by Gene Expression Profiling. EMBC 2006: 5868-5871 - [c9]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:
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci. MICCAI (1) 2006: 695-703 - 2005
- [j3]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition. Int. J. Comput. Vis. 63(2): 113-140 (2005) - [c8]Zhuowen Tu:
An Integrated Framework for Image Segmentation and Perceptual Grouping. ICCV 2005: 670-677 - [c7]Zhuowen Tu:
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering. ICCV 2005: 1589-1596 - 2004
- [j2]Feng Han, Zhuowen Tu, Song Chun Zhu:
Range Image Segmentation by an Effective Jump-Diffusion Method. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1138-1153 (2004) - [c6]Zhuowen Tu, Alan L. Yuille:
Shape Matching and Recognition - Using Generative Models and Informative Features. ECCV (3) 2004: 195-209 - 2003
- [c5]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition. ICCV 2003: 18-25 - 2002
- [j1]Zhuowen Tu, Song Chun Zhu:
Image Segmentation by Data-Driven Markov Chain Monte Carlo. IEEE Trans. Pattern Anal. Mach. Intell. 24(5): 657-673 (2002) - [c4]Zhuowen Tu, Song Chun Zhu:
Parsing Images into Region and Curve Processes. ECCV (3) 2002: 393-407 - [c3]Feng Han, Zhuowen Tu, Song Chun Zhu:
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction. ECCV (3) 2002: 502-516 - 2001
- [c2]Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum:
Image Segmentation by Data Driven Markov Chain Monte Carlo. ICCV 2001: 131-138 - 2000
- [c1]Song Chun Zhu, Rong Zhang, Zhuowen Tu:
Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo. CVPR 2000: 1738-1745
Coauthor Index
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last updated on 2024-11-04 21:40 CET by the dblp team
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