Please also see my publications at Google
Scholar.
Selected Conferences
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Open-Vocabulary Universal Image
Segmentation with MaskCLIP Zheng Ding, Jieke Wang, and Zhuowen Tu ICML 2023 / Paper |
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DiffusionRig: Learning Personalized Priors
for Facial Appearance Editing Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, and Xiuming Zhang CVPR 2023 / Paper |
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Guided Recommendation for Model Fine-Tuning Hao Li, Charless Fowlkes, Hao Yang, Onkar Debeer, Zhuowen Tu, and Stefano Soatto CVPR 2023 / Paper |
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On the Feasibility of Cross-Task Transfer
with Model-Based Reinforcement Learning Yifan Xu*, Nicklas Hansen*, Zirui Wang, Yung-Chieh Chan, Hao Su, and Zhuowen Tu (*equal contribution) ICLR 2023 / Paper |
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Semi-supervised Vision Transformers at Scale Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, and Stefano Soatto NeurIPS 2022 / Paper |
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An In-depth Study of Stochastic
Backpropagation Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, and Joseph Tighe NeurIPS 2022 / Paper |
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The Geometry of Multilingual Language Model
Representations Tyler A. Chang, Zhuowen Tu, and Benjamin K. Bergen EMNLP 2022 / Paper |
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X-DETR: A Versatile Architecture for
Instance-wise Vision-Language Tasks Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, and Stefano Soatta ECCV 2022 / Paper |
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Text Spotting Transformers Xiang Zhang, Yongwen Su, Subarna Tripathi, and Zhuowen Tu CVPR 2022 / Paper / Code |
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Instance Segmentation with Mask-supervised
Polygonal Regression Transformers Justin Lazarow, Weijian Xu, and Zhuowen Tu CVPR 2022 / Paper / Code |
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MeMOT: Multi-Object Tracking with Memory Jiarui Cai, Wei Li, Mingze Xu, Yuanjun Xiong, Wei Xia, Zhuowen Tu, and Stefano Soatto CVPR 2022 / Paper Oral Presentation |
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ViTGAN: Training GANs with
Vision Transformers Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, and Ce Liu ICLR 2022 / Paper / Code Spotlight |
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Long
Short-Term Transformer for Online Action Detection Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto NeurIPS 2021 / Paper / Code Spotlight |
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Co-Scale Conv-Attentional Image Transformers Weijian Xu*, Yifan Xu*, Tyler A. Chang, and Zhuowen Tu (*equal contribution) ICCV 2021 / Paper / Code Oral Presentation |
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Visual Relationship Detection Using
Part-and-Sum Transformers with Composite Queries Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto ICCV 2021 / Paper |
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Convolutions
and Self-Attention: Re-interpreting Relative Positions in Pre-trained
Language Models Tyler A. Chang, Yifan Xu, Weijian Xu, and Zhuowen Tu ACL 2021 / Paper (long) / Code |
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Line Segment Detection Using Transformers
without Edges Yifan Xu*, Weijian Xu*, David Cheung, and Zhuowen Tu (*equal contribution) CVPR 2021 / Paper / Code Oral Presentation |
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Dual Contradistinctive
Generative
Autoencoder Gaurav Parmar*, Dacheng Li*, Kwonjoon Lee*, and Zhuowen Tu (*equal contribution) CVPR 2021 / Paper / Code |
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Pose Recognition with
Cascade Transformers Ke Li*, Shijie Wang*, Xiang Zhang*, Yifan Xu, Weijian Xu, and Zhuowen Tu (*equal contribution) CVPR 2021 / Paper / Code |
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Exponential Moving Average
Normalization
for Self-supervised and Semi-supervised Learning Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Zhuowen Tu, and Stefano Soatto CVPR 2021 / Paper Oral Presentation |
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Compatibility-aware
Heterogeneous Visual
Search Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, and Stefano Soatto CVPR 2021 / Paper |
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Attentional Constellation
Nets for Few-Shot
Learning Weijian Xu*, Yifan Xu*, Huaijin Wang*, and Zhuowen Tu (*equal contribution) ICLR 2021 / Paper |
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One-Pixel Signature: Characterizing CNN
Models for Backdoor Detection Shanjiaoyang Huang*, Weiqi Peng*, Zhiwei Jia, and Zhuowen Tu (*equal contribution) ECCV 2020 / Paper |
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Recognizing Objects from
Any View with
Object and Viewer-Centered Representations Sainan Liu, Vincent Nguyen, Isaac Rehg, and Zhuowen Tu CVPR 2020 / Paper |
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Learning Instance Occlusion
for Panoptic
Segmentation Justin Lazarow*, Kwonjoon Lee*, Kunyu Shi*, and Zhuowen Tu (*equal contribution) CVPR 2020 / Paper / Code |
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Guided Variational
Autoencoder for
Disentanglement Learning Zheng Ding*, Yifan Xu*, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, and Zhuowen Tu (*equal contribution) CVPR 2020 / Paper |
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Topology-Aware Single-Image
3D Shape
Reconstruction Qimin Chen, Vincent Nguyen, Feng Han, Raimondas Kiveris, and Zhuowen Tu CVPR 2020 Workshop on Learning 3D Generative Models / Paper |
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Local Binary Pattern
Networks Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh Gupta, and Zhuowen Tu WACV 2020 / Paper |
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Learning Geometry-aware
Skeleton
Detection Weijian Xu, Gaurav Parmar, and Zhuowen Tu BMVC 2019 / Paper |
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3D
Volumetric Modeling with Introspective Neural Networks Wenlong Huang*, Brian Lai*, Weijian Xu, and Zhuowen Tu (*equal contribution) AAAI 2019 / Paper |
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Accelerating
Local Binary Pattern Networks
with Software-Programmable FPGAs Jeng-Hau Lin, Atieh Lotfi, Vahideh Akhlaghi, Zhuowen Tu, and Rajesh Gupta Desgin, Automation and Test in Europe (DATE) 2019 / Paper |
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Rethinking Spatiotemporal
Feature Learning:
Speed-Accuracy Trade-offs in Video Classification Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, and Kevin Murphy ECCV 2018 / Paper |
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Wasserstein Introspective
Neural Networks Kwonjoon Lee, Weijian Xu, Fan Fan, and Zhuowen Tu CVPR 2018 / Paper / Code Oral Presentation |
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Attentional ShapeContextNet
for Point Cloud
Recognition Saining Xie*, Sainan Liu*, Zeyu Chen, and Zhuowen Tu (*equal contribution) CVPR 2018 / Paper / Code |
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Deep Convolutional Neural
Networks with
Merge-and-Run Mappings Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, and Jingdong Wang IJCAI 2018 / Pape r / Code |
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Introspective Classification with
Convolutional Nets Long Jin, Justin Lazarow, and Zhuowen Tu NeurIPS 2017 / Paper / Code |
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Introspective
Neural
Networks for
Generative Modeling Justin Lazarow*, Long Jin*, and Zhuowen Tu (*equal contribution) ICCV 2017 / Paper / Code |
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Aggregated Residual
Transformations for
Deep Neural Networks Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He CVPR 2017 / Paper / Code |
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Deeply Supervised Salient
Object Detection
with Short Connections Qibin Hou, Ming-Ming Cheng, Xiao-Wei Hu, Ali Borji, Zhuowen Tu, and Philip Torr CVPR 2017 / Paper / Code |
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Top-down Learning for
Structured Labeling
with Convolutional Pseudoprior Saining Xie*, Xun Huang*, and Zhuowen Tu (*equal contribution) ECCV 2016 / Paper |
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HFS:
Hierarchical Feature
Selection for
Efficient Image Segmentation Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip Torr, Shimin Hu, and Zhuowen Tu ECCV 2016 / Paper / Code |
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Dense Volume-to-Volume
Vascular Boundary
Detection Jameson Merkow, David Kriegman, Alison Marsden, and Zhuowen Tu MICCAI 2016 / Paper |
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Generalizing Pooling Functions in
Convolutional Neural Networks: Mixed, Gated, and Tree Chen-Yu Lee, Patrick Gallagher, and Zhuowen Tu AISTATS 2016 / Paper / Code |
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Holistically-Nested Edge
Detection Saining Xie and Zhuowen Tu ICCV 2015 / Paper / Code / IJCV Version Marr Prize Honorable Mention |
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Deeply-Supervised
Nets
Chen-Yu Lee*, Saining Xie*, Patrick Gallagher, Zhengyou Zhang, and Zhuowen Tu (*equal contribution) AISTATS 2015 / Paper / Code / arXiv Oral Presentation at the NeurIPS'14 Deep Learning Workshop |
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Structural Edge Detection
for
Cardiovascular Modeling Jameson Merkow, Zhuowen Tu, David Kriegman, Alison Marsden MICCAI 2016 / Paper |