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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
- [j41]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. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7529-7541 (2024) - [c144]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 - [c143]Zheng Ding, Xuaner Zhang, Zhuowen Tu, Zhihao Xia:
Restoration by Generation with Constrained Priors. CVPR 2024: 2567-2577 - [c142]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 - [c141]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 - [c140]Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang:
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data. CVPR 2024: 8521-8531 - [c139]Zirui Wang, Zhizhou Sha, Zheng Ding, Yilin Wang, Zhuowen Tu:
TokenCompose: Text-to-Image Diffusion with Token-Level Supervision. CVPR 2024: 8553-8564 - [c138]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 - [c137]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 - [c136]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 - [c135]Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto:
Non-autoregressive Sequence-to-Sequence Vision-Language Models. CVPR 2024: 13603-13612 - [c134]Yilin Wang, Zeyuan Chen
, Liangjun Zhong, Zheng Ding, Zhuowen Tu:
Dolfin: Diffusion Layout Transformers Without Autoencoder. ECCV (51) 2024: 326-343 - [c133]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. ECCV (49) 2024: 357-374 - [c132]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. EMNLP 2024: 3167-3193 - [c131]Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen:
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages. EMNLP 2024: 4074-4096 - [c130]Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu:
Patched Denoising Diffusion Models For High-Resolution Image Synthesis. ICLR 2024 - [i76]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) - [i75]Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto:
Non-autoregressive Sequence-to-Sequence Vision-Language Models. CoRR abs/2403.02249 (2024) - [i74]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) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin K. Bergen:
Goldfish: Monolingual Language Models for 350 Languages. CoRR abs/2408.10441 (2024) - [i67]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) - [i66]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. CoRR abs/2410.03061 (2024) - [i65]Hao Li, Shamit Lal, Zhiheng Li, Yusheng Xie, Ying Wang, Yang Zou, Orchid Majumder, R. Manmatha, Zhuowen Tu, Stefano Ermon, Stefano Soatto, Ashwin Swaminathan:
Efficient Scaling of Diffusion Transformers for Text-to-Image Generation. CoRR abs/2412.12391 (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]