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VideoLT: Large-scale Long-tailed Video Recognition


May 06, 2021
Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis

* 10 pages, 6 figures 

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M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers


Apr 30, 2021
Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha


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M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection


Apr 21, 2021
Junke Wang, Zuxuan Wu, Jingjing Chen, Yu-Gang Jiang


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HMS: Hierarchical Modality Selection for Efficient Video Recognition


Apr 21, 2021
Zejia Weng, Zuxuan Wu, Hengduo Li, Yu-Gang Jiang


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HMS: Hierarchical Modality Selectionfor Efficient Video Recognition


Apr 20, 2021
Zejia Weng, Zuxuan Wu, Hengduo Li, Yu-Gang Jiang


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Exploring Visual Engagement Signals for Representation Learning


Apr 15, 2021
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim


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THAT: Two Head Adversarial Training for Improving Robustness at Scale


Mar 25, 2021
Zuxuan Wu, Tom Goldstein, Larry S. Davis, Ser-Nam Lim


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Deep Video Inpainting Detection


Jan 26, 2021
Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim


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2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition


Dec 29, 2020
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis


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GTA: Global Temporal Attention for Video Action Understanding


Dec 15, 2020
Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava


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Intentonomy: a Dataset and Study towards Human Intent Understanding


Nov 11, 2020
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim


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FLAG: Adversarial Data Augmentation for Graph Neural Networks


Oct 19, 2020
Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein


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Prepare for the Worst: Generalizing across Domain Shifts with Adversarial Batch Normalization


Sep 21, 2020
Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein


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Preparing for the Worst: Making Networks Less Brittle with Adversarial Batch Normalization


Sep 18, 2020
Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein


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Recognizing Instagram Filtered Images with Feature De-stylization


Dec 30, 2019
Zhe Wu, Zuxuan Wu, Bharat Singh, Larry S. Davis

* Accepted in AAAI 2020 as an oral presentation paper 

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Learning from Noisy Anchors for One-stage Object Detection


Dec 11, 2019
Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis


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LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition


Dec 03, 2019
Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis

* NeurIPS 2019 

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Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors


Oct 31, 2019
Zuxuan Wu, Ser-Nam Lim, Larry Davis, Tom Goldstein


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ACE: Adapting to Changing Environments for Semantic Segmentation


Apr 12, 2019
Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis


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An Analysis of Pre-Training on Object Detection


Apr 11, 2019
Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis


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M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning


Apr 03, 2019
Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry S. Davis


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The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation


Mar 05, 2019
Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira

* CVPR 2019 (Oral), our code is available at https://github.com/chihyaoma/regretful-agent 

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Compatible and Diverse Fashion Image Inpainting


Feb 04, 2019
Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry S. Davis


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Self-Monitoring Navigation Agent via Auxiliary Progress Estimation


Jan 10, 2019
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong

* ICLR 2019, code is available at https://github.com/chihyaoma/selfmonitoring-agent 

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AdaFrame: Adaptive Frame Selection for Fast Video Recognition


Nov 29, 2018
Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis


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VITON: An Image-based Virtual Try-on Network


Jun 12, 2018
Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis


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DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation


Apr 16, 2018
Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gkhan Uzunbas, Tom Goldstein, Ser Nam Lim, Larry S. Davis


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BlockDrop: Dynamic Inference Paths in Residual Networks


Apr 12, 2018
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogerio Feris

* CVPR 2018 

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