| 2026 | LREC | Goldfish: Monolingual Language Models for 350 Languages. | Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin Bergen |
| 2026 | WACV | CVP: Central-Peripheral Vision-Inspired Multimodal Model for Spatial Reasoning. | Zeyuan Chen, Xiang Zhang, Haiyang Xu, Jianwen Xie, Zhuowen Tu |
| 2026 | WACV | AuthGuard: Generalizable Deepfake Detection via Language Guidance. | Guangyu Shen, Zhihua Li, Xiang Xu, Tianchen Zhao, Zheng Zhang, Dongsheng An, Zhuowen Tu, Yifan Xing, Qin Zhang |
| 2026 | WACV | Gaussian Swaying ⚑: Surface-Based Framework for Aerodynamic Simulation with 3D Gaussians. | Hongru Yan, Xiang Zhang, Zeyuan Chen, Fangyin Wei, Zhuowen Tu |
| 2025 | CVPR | Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels. | Yongshuo Zong, Qin Zhang, Dongsheng An, Zhihua Li, Xiang Xu, Linghan Xu, Zhuowen Tu, Yifan Xing, Onkar Dabeer |
| 2025 | ICCV | Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers. | Divyansh Srivastava, Xiang Zhang, He Wen, Chenru Wen, Zhuowen Tu |
| 2025 | ICCV | YOLO-Count: Differentiable Object Counting for Text-to-Image Generation. | Guanning Zeng, Xiang Zhang, Zirui Wang, Haiyang Xu, Zeyuan Chen, Bingnan Li, Zhuowen Tu |
| 2025 | ICCV | DepR: Depth Guided Single-View Scene Reconstruction with Instance-Level Diffusion. | Qingcheng Zhao, Xiang Zhang, Haiyang Xu, Zeyuan Chen, Jianwen Xie, Yuan Gao, Zhuowen Tu |
| 2024 | AAAI | BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions. | Wenbo Hu, Yifan Xu, Yi Li, Weiyue Li, Zeyuan Chen, Zhuowen Tu |
| 2024 | CVPR | AffordanceLLM: Grounding Affordance from Vision Language Models. | Shengyi Qian, Weifeng Chen, Min Bai, Xiong Zhou, Zhuowen Tu, Li Erran Li |
| 2024 | CVPR | Restoration by Generation with Constrained Priors. | Zheng Ding, Xuaner Zhang, Zhuowen Tu, Zhihao Xia |
| 2024 | CVPR | Enhancing Vision-Language Pre-Training with Rich Supervisions. | Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Zhuowen Tu, Vijay Mahadevan, Stefano Soatto |
| 2024 | CVPR | On the Scalability of Diffusion-based Text-to-Image Generation. | Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto |
| 2024 | CVPR | Non-autoregressive Sequence-to-Sequence Vision-Language Models. | Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto |
| 2024 | CVPR | TokenCompose: Text-to-Image Diffusion with Token-Level Supervision. | Zirui Wang, Zhizhou Sha, Zheng Ding, Yilin Wang, Zhuowen Tu |
| 2024 | CVPR | OmniControlNet: Dual-stage Integration for Conditional Image Generation. | Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha, Zirui Wang, Zhuowen Tu |
| 2024 | CVPR | Bayesian Diffusion Models for 3D Shape Reconstruction. | Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao, Yilin Wang, Zhuowen Tu |
| 2024 | CVPR | HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data. | Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang |
| 2024 | ECCV | Open-World Dynamic Prompt and Continual Visual Representation Learning. | Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer |
| 2024 | ECCV | Dolfin: Diffusion Layout Transformers Without Autoencoder. | Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhuowen Tu |
| 2024 | EMNLP | When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages. | Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen |
| 2024 | EMNLP | DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. | Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto |
| 2024 | ICLR | Patched Denoising Diffusion Models For High-Resolution Image Synthesis. | Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu |
| 2023 | CVPR | DiffusionRig: Learning Personalized Priors for Facial Appearance Editing. | Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang |
| 2023 | CVPR | Guided Recommendation for Model Fine-Tuning. | Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto |
| 2023 | ICCV | Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. | Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su |
| 2023 | ICCV | SkeleTR: Towards Skeleton-based Action Recognition in the Wild. | Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo |
| 2023 | ICCV | DocTr: Document Transformer for Structured Information Extraction in Documents. | Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan |
| 2023 | ICCV | Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. | Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su |
| 2023 | ICCV | MasQCLIP for Open-Vocabulary Universal Image Segmentation. | Xin Xu, Tianyi Xiong, Zheng Ding, Zhuowen Tu |
| 2023 | ICCV | Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction. | Xiang Zhang, Zeyuan Chen, Fangyin Wei, Zhuowen Tu |
| 2023 | ICCV | Object-Centric Multiple Object Tracking. | 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 | ICLR | On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning. | Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu |
| 2023 | ICML | Open-Vocabulary Universal Image Segmentation with MaskCLIP. | Zheng Ding, Jieke Wang, Zhuowen Tu |
| 2022 | CVPR | MeMOT: Multi-Object Tracking with Memory. | Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto |
| 2022 | CVPR | Instance Segmentation with Mask-supervised Polygonal Boundary Transformers. | Justin Lazarow, Weijian Xu, Zhuowen Tu |
| 2022 | CVPR | Text Spotting Transformers. | Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu |
| 2022 | ECCV | X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. | Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto |
| 2022 | EMNLP | The Geometry of Multilingual Language Model Representations. | Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen |
| 2022 | ICLR | ViTGAN: Training GANs with Vision Transformers. | Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu |
| 2021 | ACL | Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. | Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu |
| 2021 | CVPR | Pose Recognition With Cascade Transformers. | Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu |
| 2021 | CVPR | Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. | Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto |
| 2021 | CVPR | Compatibility-Aware Heterogeneous Visual Search. | Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto |
| 2021 | CVPR | Dual Contradistinctive Generative Autoencoder. | Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu |
| 2021 | CVPR | Line Segment Detection Using Transformers Without Edges. | Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu |
| 2021 | ICCV | Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. | Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto |
| 2021 | ICCV | Co-Scale Conv-Attentional Image Transformers. | Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu |
| 2021 | ICLR | Attentional Constellation Nets for Few-Shot Learning. | Weijian Xu, Yifan Xu, Huaijin Wang, Zhuowen Tu |
| 2020 | CVPR | Topology-Aware Single-Image 3D Shape Reconstruction. | Qimin Chen, Vincent Nguyen, Feng Han, Raimondas Kiveris, Zhuowen Tu |
| 2020 | CVPR | Guided Variational Autoencoder for Disentanglement Learning. | Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu |
| 2020 | CVPR | Learning Instance Occlusion for Panoptic Segmentation. | Justin Lazarow, Kwonjoon Lee, Kunyu Shi, Zhuowen Tu |
| 2020 | CVPR | Recognizing Objects From Any View With Object and Viewer-Centered Representations. | Sainan Liu, Vincent Nguyen, Isaac Rehg, Zhuowen Tu |
| 2020 | ECCV | One-Pixel Signature: Characterizing CNN Models for Backdoor Detection. | Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu |
| 2020 | WACV | Local Binary Pattern Networks. | Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh K. Gupta, Zhuowen Tu |
| 2019 | AAAI | 3D Volumetric Modeling with Introspective Neural Networks. | Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu |
| 2019 | BMVC | Geometry-Aware End-to-End Skeleton Detection. | Weijian Xu, Gaurav Parmar, Zhuowen Tu |
| 2019 | DATE | Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs. | Jeng-Hau Lin, Atieh Lotfi, Vahideh Akhlaghi, Zhuowen Tu, Rajesh K. Gupta |
| 2018 | CVPR | Wasserstein Introspective Neural Networks. | Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu |
| 2018 | CVPR | Attentional ShapeContextNet for Point Cloud Recognition. | Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu |
| 2018 | ECCV | Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. | Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy |
| 2018 | IJCAI | Deep Convolutional Neural Networks with Merge-and-Run Mappings. | Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang |
| 2017 | CVPR | Deeply Supervised Salient Object Detection with Short Connections. | Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr |
| 2017 | CVPR | Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration. | Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta |
| 2017 | CVPR | Aggregated Residual Transformations for Deep Neural Networks. | Saining Xie, Ross B. Girshick, Piotr Dollr, Zhuowen Tu, Kaiming He |
| 2017 | ICCV | Introspective Neural Networks for Generative Modeling. | Justin Lazarow, Long Jin, Zhuowen Tu |
| 2016 | AISTATS | Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree. | Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu |
| 2016 | ECCV | HFS: Hierarchical Feature Selection for Efficient Image Segmentation. | Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu |
| 2016 | ECCV | Top-Down Learning for Structured Labeling with Convolutional Pseudoprior. | Saining Xie, Xun Huang, Zhuowen Tu |
| 2016 | MICCAI | Dense Volume-to-Volume Vascular Boundary Detection. | Jameson Tyler Merkow, Alison L. Marsden, David J. Kriegman, Zhuowen Tu |
| 2015 | AISTATS | Deeply-Supervised Nets. | Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu |
| 2015 | ICCV | Holistically-Nested Edge Detection. | Saining Xie, Zhuowen Tu |
| 2015 | MICCAI | Structural Edge Detection for Cardiovascular Modeling. | Jameson Tyler Merkow, Zhuowen Tu, David J. Kriegman, Alison L. Marsden |
| 2014 | ACCV | Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity. | Yuwang Wang, Baoyuan Wang, Yizhou Yu, Qionghai Dai, Zhuowen Tu |
| 2014 | BMVC | Reverse Image Segmentation: A High-Level Solution to a Low-Level Task. | Jiajun Wu, Junyan Zhu, Zhuowen Tu |
| 2014 | CogSci | Harvesting Motion Patterns in Still Images from the Internet. | Jiajun Wu, Yining Wang, Zhulin Li, Zhuowen Tu |
| 2014 | CVPR | MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation. | Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu, Siwei Luo, Zhuowen Tu |
| 2014 | WACV | Scale-Space SIFT flow. | Weichao Qiu, Xinggang Wang, Xiang Bai, Alan L. Yuille, Zhuowen Tu |
| 2014 | UAI | Learning to Predict from Crowdsourced Data. | Wei Bi, Liwei Wang, James T. Kwok, Zhuowen Tu |
| 2013 | CVPR | Harvesting Mid-level Visual Concepts from Large-Scale Internet Images. | Quannan Li, Jiajun Wu, Zhuowen Tu |
| 2013 | CVPR | Robust Estimation of Nonrigid Transformation for Point Set Registration. | Jiayi Ma, Ji Zhao, Jinwen Tian, Zhuowen Tu, Alan L. Yuille |
| 2013 | CVPR | Sparse Subspace Denoising for Image Manifolds. | Bo Wang, Zhuowen Tu |
| 2013 | ICCV | Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification. | Bo Wang, Zhuowen Tu, John K. Tsotsos |
| 2013 | ICCV | Action Recognition with Actons. | Jun Zhu, Baoyuan Wang, Xiaokang Yang, Wenjun Zhang, Zhuowen Tu |
| 2013 | ICML | Fixed-Point Model For Structured Labeling. | Quannan Li, Jingdong Wang, David P. Wipf, Zhuowen Tu |
| 2013 | ICML | Max-Margin Multiple-Instance Dictionary Learning. | Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, Zhuowen Tu |
| 2013 | MICCAI | Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013). | Henning Mller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Zhuowen Tu, Oscar Alfonso Jimnez del Toro |
| 2012 | AAAI | Discriminative Clustering via Generative Feature Mapping. | Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia |
| 2012 | ACCV | Disagreement-Based Multi-system Tracking. | Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu |
| 2012 | ACCV | One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery. | Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu |
| 2012 | CVPR | Randomness and sparsity induced codebook learning with application to cancer image classification. | Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu |
| 2012 | CVPR | Exemplar-based human action pose correction and tagging. | Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Baining Guo, Zhuowen Tu |
| 2012 | CVPR | Unsupervised metric fusion by cross diffusion. | Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, Zhuowen Tu |
| 2012 | CVPR | Affinity learning via self-diffusion for image segmentation and clustering. | Bo Wang, Zhuowen Tu |
| 2012 | CVPR | Scalable k-NN graph construction for visual descriptors. | Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, Rui Gan, Shipeng Li |
| 2012 | CVPR | Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering. | Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Zhuowen Tu |
| 2012 | CVPR | Detecting texts of arbitrary orientations in natural images. | Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu |
| 2012 | CVPR | Unsupervised object class discovery via saliency-guided multiple class learning. | Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I-Chao Chang, Zhuowen Tu |
| 2012 | MICCAI | Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification. | Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu |
| 2012 | MICCAI | Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation. | Yan Xu, Jianwen Zhang, Eric I-Chao Chang, Maode Lai, Zhuowen Tu |
| 2011 | ICCV | Learning a mixture of sparse distance metrics for classification and dimensionality reduction. | Yi Hong, Quannan Li, Jiayan Jiang, Zhuowen Tu |
| 2011 | ICCV | Unsupervised metric learning by Self-Smoothing Operator. | Jiayan Jiang, Bo Wang, Zhuowen Tu |
| 2011 | MICCAI | Classification of Alzheimer's Disease Using a Self-Smoothing Operator. | Juan Eugenio Iglesias, Jiayan Jiang, Cheng-Yi Liu, Zhuowen Tu |
| 2011 | MICCAI | Robust Skull Stripping of Clinical Glioblastoma Multiforme Data. | William Speier, Juan Eugenio Iglesias, Leila El-Kara, Zhuowen Tu, Corey W. Arnold |
| 2010 | CVPR | Sparse semi-supervised learning for perceptual grouping. | Yi Hong, Jiayan Jiang, Zhuowen Tu |
| 2010 | ECCV | Co-transduction for Shape Retrieval. | Xiang Bai, Bo Wang, Xinggang Wang, Wenyu Liu, Zhuowen Tu |
| 2010 | ECCV | Object Recognition Using Junctions. | Bo Wang, Xiang Bai, Xinggang Wang, Wenyu Liu, Zhuowen Tu |
| 2010 | MICCAI | Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis. | Juan Eugenio Iglesias, Ivo D. Dinov, Jaskaran Singh, Gregory Tong, Zhuowen Tu |
| 2010 | MICCAI | Agreement-Based Semi-supervised Learning for Skull Stripping. | Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thompson, Zhuowen Tu |
| 2009 | BMVC | Integral Channel Features. | Piotr Dollr, Zhuowen Tu, Pietro Perona, Serge J. Belongie |
| 2009 | CVPR | Shape band: A deformable object detection approach. | Xiang Bai, Quannan Li, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu |
| 2009 | CVPR | Efficient scale space auto-context for image segmentation and labeling. | Jiayan Jiang, Zhuowen Tu |
| 2009 | ICCV | Active skeleton for non-rigid object detection. | Xiang Bai, Xinggang Wang, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu |
| 2009 | ISVC | Wavelet-Based Representation of Biological Shapes. | Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Yalin Wang, Arthur W. Toga |
| 2009 | MICCAI | Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation. | Jonathan H. Morra, Zhuowen Tu, Arthur W. Toga, Paul M. Thompson |
| 2008 | CVPR | Graph-shifts: Natural image labeling by dynamic hierarchical computing. | Jason J. Corso, Alan L. Yuille, Zhuowen Tu |
| 2008 | CVPR | Learning based coarse-to-fine image registration. | Jiayan Jiang, Songfeng Zheng, Arthur W. Toga, Zhuowen Tu |
| 2008 | CVPR | Auto-context and its application to high-level vision tasks. | Zhuowen Tu |
| 2008 | ECCV | Multiple Component Learning for Object Detection. | Piotr Dollr, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu |
| 2008 | ECCV | Improving Shape Retrieval by Learning Graph Transduction. | Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuowen Tu |
| 2008 | IWCIA | MRF Labeling with a Graph-Shifts Algorithm. | Jason J. Corso, Zhuowen Tu, Alan L. Yuille |
| 2008 | MICCAI | Automatic Subcortical Segmentation Using a Contextual Model. | Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Arthur W. Toga, Paul M. Thompson |
| 2007 | CVPR | Feature Mining for Image Classification. | Piotr Dollr, Zhuowen Tu, Hai Tao, Serge J. Belongie |
| 2007 | CVPR | Learning Generative Models via Discriminative Approaches. | Zhuowen Tu |
| 2007 | CVPR | Detecting Object Boundaries Using Low-, Mid-, and High-level Information. | Songfeng Zheng, Zhuowen Tu, Alan L. Yuille |
| 2007 | MICCAI | Towards Whole Brain Segmentation by a Hybrid Model. | Zhuowen Tu, Arthur W. Toga |
| 2006 | CVPR | Supervised Learning of Edges and Object Boundaries. | Piotr Dollr, Zhuowen Tu, Serge J. Belongie |
| 2006 | CVPR | Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment. | Zhuowen Tu, Xiang Sean Zhou, Luca Bogoni, Adrian Barbu, Dorin Comaniciu |
| 2006 | ECCV | A Learning Based Approach for 3D Segmentation and Colon Detagging. | Zhuowen Tu, Xiang Sean Zhou, Dorin Comaniciu, Luca Bogoni |
| 2006 | MICCAI | A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci. | 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 |
| 2005 | ICCV | An Integrated Framework for Image Segmentation and Perceptual Grouping. | Zhuowen Tu |
| 2005 | ICCV | Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering. | Zhuowen Tu |
| 2004 | ECCV | Shape Matching and Recognition - Using Generative Models and Informative Features. | Zhuowen Tu, Alan L. Yuille |
| 2003 | ICCV | Image Parsing: Unifying Segmentation, Detection, and Recognition. | Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu |
| 2002 | ECCV | A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction. | Feng Han, Zhuowen Tu, Song Chun Zhu |
| 2002 | ECCV | Parsing Images into Region and Curve Processes. | Zhuowen Tu, Song Chun Zhu |
| 2001 | ICCV | Image Segmentation by Data Driven Markov Chain Monte Carlo. | Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum |
| 2000 | CVPR | Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo. | Song Chun Zhu, Rong Zhang, Zhuowen Tu |