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Learning Intrinsic Images for Clothing


Nov 16, 2021
Kuo Jiang, Zian Wang, Xiaodong Yang


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Exploring Simple 3D Multi-Object Tracking for Autonomous Driving


Aug 23, 2021
Chenxu Luo, Xiaodong Yang, Alan Yuille

* ICCV 2021 

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Neural Network Repair with Reachability Analysis


Aug 09, 2021
Xiaodong Yang, Tom Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T Johnson, Danil Prokhorov


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Reachability Analysis of Convolutional Neural Networks


Jun 22, 2021
Xiaodong Yang, Tomoya Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T Johnson, Danil Prokhorov


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The 5th AI City Challenge


May 24, 2021
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. Lopez, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff

* Summary of the 5th AI City Challenge Workshop in conjunction with CVPR 2021 

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Self-Supervised Pillar Motion Learning for Autonomous Driving


Apr 18, 2021
Chenxu Luo, Xiaodong Yang, Alan Yuille

* cvpr2021 

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UFO$^2$: A Unified Framework towards Omni-supervised Object Detection


Oct 21, 2020
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz

* ECCV 2020 

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Hierarchical Contrastive Motion Learning for Video Action Recognition


Jul 20, 2020
Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz


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Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification


Jul 20, 2020
Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz

* ECCV 2020 (Oral) 

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Contrastive Learning for Weakly Supervised Phrase Grounding


Jun 17, 2020
Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem


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PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data


May 02, 2020
Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang

* Accepted by ICCV 2019 

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The 4th AI City Challenge


Apr 30, 2020
Milind Naphade, Shuo Wang, David Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty

* Organization summary of the 4th AI City Challenge Workshop @ CVPR 2020 

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NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems


Apr 12, 2020
Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez, Patrick Musau, Luan Viet Nguyen, Weiming Xiang, Stanley Bak, Taylor T. Johnson


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Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection


Apr 09, 2020
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz

* Accepted to CVPR 2020 

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Reachability Analysis for Feed-Forward Neural Networks using Face Lattices


Mar 02, 2020
Xiaodong Yang, Hoang-Dung Tran, Weiming Xiang, Taylor Johnson


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Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning


Jan 29, 2020
Shanhui Sun, Jing Hu, Mingqing Yao, Jinrong Hu, Xiaodong Yang, Qi Song, Xi Wu

* Asian Conference on Computer Vision (ACCV). 2018. 511-526 

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FOCUS: Dealing with Label Quality Disparity in Federated Learning


Jan 29, 2020
Yiqiang Chen, Xiaodong Yang, Xin Qin, Han Yu, Biao Chen, Zhiqi Shen

* 7 pages 

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Simulating Content Consistent Vehicle Datasets with Attribute Descent


Dec 18, 2019
Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon


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Dancing to Music


Nov 05, 2019
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz

* NeurIPS 2019; Project page: https://github.com/NVlabs/Dancing2Music 

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A Delay Metric for Video Object Detection: What Average Precision Fails to Tell


Aug 18, 2019
Huizi Mao, Xiaodong Yang, William J. Dally

* ICCV 2019 

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Rethinking Full Connectivity in Recurrent Neural Networks


May 29, 2019
Matthijs Van Keirsbilck, Alexander Keller, Xiaodong Yang


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Joint Discriminative and Generative Learning for Person Re-identification


May 22, 2019
Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz

* CVPR 2019 (Oral) 

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STEP: Spatio-Temporal Progressive Learning for Video Action Detection


Apr 19, 2019
Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz

* CVPR 2019 (Oral) 

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CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification


Apr 05, 2019
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang

* Accepted for oral presentation at CVPR 2019 with review ratings of 2 strong accepts and 1 accept (work done during an internship at NVIDIA) 

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Discovering Spatio-Temporal Action Tubes


Nov 29, 2018
Yuancheng Ye, Xiaodong Yang, Yingli Tian


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Verification for Machine Learning, Autonomy, and Neural Networks Survey


Oct 03, 2018
Weiming Xiang, Patrick Musau, Ayana A. Wild, Diego Manzanas Lopez, Nathaniel Hamilton, Xiaodong Yang, Joel Rosenfeld, Taylor T. Johnson


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Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation


Sep 14, 2018
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz


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PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume


Jun 25, 2018
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz

* CVPR 2018 camera ready version (with github link to Caffe and PyTorch code) 

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