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Zhuowen Tu
Person information
- affiliation: University of California, San Diego, USA
- affiliation (former): University of California, Los Angeles, USA
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2020 – today
- 2024
- [c131]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 - [c130]Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu:
Patched Denoising Diffusion Models For High-Resolution Image Synthesis. ICLR 2024 - [i72]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) - [i71]Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto:
Non-autoregressive Sequence-to-Sequence Vision-Language Models. CoRR abs/2403.02249 (2024) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - 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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