Zhuowen Tu

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 124

Top Venues

CoRR

CVPR

ICCV

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha, Zirui Wang, Zhuowen Tu
OmniControlNet: Dual-stage Integration for Conditional Image Generation. CoRR (2024)
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 (2024)
Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu
Patched Denoising Diffusion Models For High-Resolution Image Synthesis. ICLR (2024)
Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao, Yilin Wang, Zhuowen Tu
Bayesian Diffusion Models for 3D Shape Reconstruction. CoRR (2024)
Shengyi Qian, Weifeng Chen, Min Bai, Xiong Zhou, Zhuowen Tu, Li Erran Li
AffordanceLLM: Grounding Affordance from Vision Language Models. CoRR (2024)
Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto
Non-autoregressive Sequence-to-Sequence Vision-Language Models. CoRR (2024)
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)
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 (2024)
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 (2024)
Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data. CoRR (2024)
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 (2023)
Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto
Guided Recommendation for Model Fine-Tuning. CVPR (2023)
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)
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 (2023)
Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. ICCV (2023)
Zirui Wang, Zhizhou Sha, Zheng Ding, Yilin Wang, Zhuowen Tu
TokenCompose: Grounding Diffusion with Token-level Supervision. CoRR (2023)
Xin Xu, Tianyi Xiong, Zheng Ding, Zhuowen Tu
MasQCLIP for Open-Vocabulary Universal Image Segmentation. ICCV (2023)
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 (2023)
Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. CoRR (2023)
Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing. CVPR (2023)
Zheng Ding, Xuaner Zhang, Zhuowen Tu, Zhihao Xia
Restoration by Generation with Constrained Priors. CoRR (2023)
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)
Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing. CoRR (2023)
Zheng Ding, Jieke Wang, Zhuowen Tu
Open-Vocabulary Universal Image Segmentation with MaskCLIP. ICML (2023)
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 (2023)
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)
Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen
Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability. CoRR (2023)
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)
Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhizhou Sha, Zhuowen Tu
Dolfin: Diffusion Layout Transformers without Autoencoder. CoRR (2023)
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 (2023)
Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu
Patched Denoising Diffusion Models For High-Resolution Image Synthesis. CoRR (2023)
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 (2023)
Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. CoRR (2023)
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)
Xiang Zhang, Zeyuan Chen, Fangyin Wei, Zhuowen Tu
Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction. ICCV (2023)
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
Semi-supervised Vision Transformers at Scale. NeurIPS (2022)
Zheng Ding, Jieke Wang, Zhuowen Tu
Open-Vocabulary Panoptic Segmentation with MaskCLIP. CoRR (2022)
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)
Tyler A. Chang, Zhuowen Tu, Benjamin Bergen
The Geometry of Multilingual Language Model Representations. EMNLP (2022)
Justin Lazarow, Weijian Xu, Zhuowen Tu
Instance Segmentation with Mask-supervised Polygonal Boundary Transformers. CVPR (2022)
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 (2022)
Zheng Ding, James Hou, Zhuowen Tu
Point Cloud Recognition with Position-to-Structure Attention Transformers. CoRR (2022)
Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto
Contrastive Neighborhood Alignment. CoRR (2022)
Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe
An In-depth Study of Stochastic Backpropagation. CoRR (2022)
Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
MeMOT: Multi-Object Tracking with Memory. CoRR (2022)
Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe
An In-depth Study of Stochastic Backpropagation. NeurIPS (2022)
Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen
The Geometry of Multilingual Language Model Representations. CoRR (2022)
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 (2022)
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) (2022)
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 (2022)
Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
MeMOT: Multi-Object Tracking with Memory. CVPR (2022)
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
Semi-supervised Vision Transformers at Scale. CoRR (2022)
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
ViTGAN: Training GANs with Vision Transformers. ICLR (2022)
Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu
Text Spotting Transformers. CoRR (2022)
Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu
Text Spotting Transformers. CVPR (2022)
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)
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 (2021)
Weijian Xu, Yifan Xu, Huaijin Wang, Zhuowen Tu
Attentional Constellation Nets for Few-Shot Learning. ICLR (2021)
Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu
Co-Scale Conv-Attentional Image Transformers. CoRR (2021)
Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
Long Short-Term Transformer for Online Action Detection. CoRR (2021)
Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
Long Short-Term Transformer for Online Action Detection. NeurIPS (2021)
Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. CoRR (2021)
Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu
Pose Recognition with Cascade Transformers. CoRR (2021)
Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu
Dual Contradistinctive Generative Autoencoder. CVPR (2021)
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
ViTGAN: Training GANs with Vision Transformers. CoRR (2021)
Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu
Pose Recognition With Cascade Transformers. CVPR (2021)
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) (2021)
Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu
Line Segment Detection Using Transformers without Edges. CoRR (2021)
Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
Compatibility-Aware Heterogeneous Visual Search. CVPR (2021)
Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
Compatibility-aware Heterogeneous Visual Search. CoRR (2021)
Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu
Co-Scale Conv-Attentional Image Transformers. ICCV (2021)
Sainan Liu, Vincent Nguyen, Yuan Gao, Subarna Tripathi, Zhuowen Tu
Towards Panoptic 3D Parsing for Single Image in the Wild. CoRR (2021)
Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu
Line Segment Detection Using Transformers Without Edges. CVPR (2021)
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)
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)
Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto
Visual Composite Set Detection Using Part-and-Sum Transformers. CoRR (2021)
Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu
One-Pixel Signature: Characterizing CNN Models for Backdoor Detection. ECCV (27) (2020)
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) (2020)
Justin Lazarow, Kwonjoon Lee, Kunyu Shi, Zhuowen Tu
Learning Instance Occlusion for Panoptic Segmentation. CVPR (2020)
Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu
One-pixel Signature: Characterizing CNN Models for Backdoor Detection. CoRR (2020)
Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh K. Gupta, Zhuowen Tu
Local Binary Pattern Networks. WACV (2020)
Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu
Guided Variational Autoencoder for Disentanglement Learning. CoRR (2020)
Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu
Guided Variational Autoencoder for Disentanglement Learning. CVPR (2020)
Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu
Dual Contradistinctive Generative Autoencoder. CoRR (2020)
Sainan Liu, Vincent Nguyen, Isaac Rehg, Zhuowen Tu
Recognizing Objects From Any View With Object and Viewer-Centered Representations. CVPR (2020)
Qimin Chen, Vincent Nguyen, Feng Han, Raimondas Kiveris, Zhuowen Tu
Topology-Aware Single-Image 3D Shape Reconstruction. CVPR Workshops (2020)
Yifan Xu, Kening Zhang, Haoyu Dong, Yuezhou Sun, Wenlong Zhao, Zhuowen Tu
Rethinking Exposure Bias In Language Modeling. CoRR (2019)
Justin Lazarow, Kwonjoon Lee, Zhuowen Tu
Learning Instance Occlusion for Panoptic Segmentation. CoRR (2019)
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) (2019)
Jeng-Hau Lin, Atieh Lotfi, Vahideh Akhlaghi, Zhuowen Tu, Rajesh K. Gupta
Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs. DATE (2019)
Yifan Xu, Lu Dai, Udaikaran Singh, Kening Zhang, Zhuowen Tu
Neural Program Synthesis By Self-Learning. CoRR (2019)
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) (2019)
Weijian Xu, Gaurav Parmar, Zhuowen Tu
Geometry-Aware End-to-End Skeleton Detection. BMVC (2019)
Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu
3D Volumetric Modeling with Introspective Neural Networks. AAAI (2019)
Siyang Wang, Justin Lazarow, Kwonjoon Lee, Zhuowen Tu
Unaligned Image-to-Sequence Transformation with Loop Consistency. CoRR (2019)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. ECCV (15) (2018)
Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu
Attentional ShapeContextNet for Point Cloud Recognition. CVPR (2018)
Jeng-Hau Lin, Yunfan Yang, Rajesh K. Gupta, Zhuowen Tu
Local Binary Pattern Networks. CoRR (2018)
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) (2018)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhuowen Tu