  Xiaodong Yang  

 



  ![](/sites/default/files/person/Xiaodong_Yang.jpg)

  

   Research Area(s)

[Autonomous Vehicles](/index.php/research-area/autonomous-vehicles)

[Computer Vision](/index.php/research-area/computer-vision)

[Generative AI](/index.php/research-area/generative-ai)

[Physical AI](/index.php/research-area/physical-ai)

[Robotics](/index.php/research-area/robotics)

 

 

  

 Main Field of Interest

[Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=yWsMg\_gAAAAJ&amp;hl=en](https://scholar.google.com/citations?user=yWsMg_gAAAAJ&hl=en)

 

  

 

 

 



 ### Publications

 

### 2019 

[Dance to Music](/publication/2019-12_dance-music)

Hsin-Ying Lee, [Xiaodong Yang](/person/xiaodong-yang), [Ming-Yu Liu](/person/ming-yu-liu), [Ting-Chun Wang](/person/ting-chun-wang), Yu-Ding Lu, Ming-Hsuan Yang, [Jan Kautz](/person/jan-kautz)



[NeurIPS](https://www.nips.cc)









[PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data](/publication/2019-10_pamtri-pose-aware-multi-task-learning-vehicle-re-identification-using-highly)

Zheng Tang, Milind Naphade, [Stan Birchfield](/person/stan-birchfield), [Jonathan Tremblay](/person/jonathan-tremblay), William Hodge, Ratnesh Kumar, Shuo Wong, [Xiaodong Yang](/person/xiaodong-yang)



[ICCV 2019](http://iccv2019.thecvf.com/)









[STEP: Spatio-Temporal Progressive Learning for Video Action Detection](/index.php/publication/2019-06_step-spatio-temporal-progressive-learning-video-action-detection)

Xitong Yang, [Xiaodong Yang](/index.php/person/xiaodong-yang), [Ming-Yu Liu](/index.php/person/ming-yu-liu), Fanyi Xiao, Larry Davis, [Jan Kautz](/index.php/person/jan-kautz)



[CVPR](http://cvpr2019.thecvf.com/)









[Joint Discriminative and Generative Learning for Person Re-identification](/publication/2019-06_joint-discriminative-and-generative-learning-person-re-identification)

Zhedong Zheng, [Xiaodong Yang](/person/xiaodong-yang), [Zhiding Yu](/person/zhiding-yu), Liang Zheng, Yi Yang, [Jan Kautz](/person/jan-kautz)



[IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019](http://cvpr2019.thecvf.com/)









[CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification](/index.php/publication/2019-06_cityflow-city-scale-benchmark-multi-target-multi-camera-vehicle-tracking-and-re)

Zheng Tang, Milind Naphade, [Ming-Yu Liu](/index.php/person/ming-yu-liu), [Xiaodong Yang](/index.php/person/xiaodong-yang), [Stan Birchfield](/index.php/person/stan-birchfield), Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwan



[CVPR 2019](http://cvpr2019.thecvf.com/)









[Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation](/publication/2019-01_models-matter-so-does-training-empirical-study-cnns-optical-flow-estimation)

Deqing Sun, [Xiaodong Yang](/person/xiaodong-yang), [Ming-Yu Liu](/person/ming-yu-liu), [Jan Kautz](/person/jan-kautz)



[TPAMI](https://ieeexplore.ieee.org/document/8621052)









### 2018 

[MoCoGAN: Decomposing Motion and Content for Video Generation](/publication/2018-06_mocogan-decomposing-motion-and-content-video-generation)

Sergey Tulyakov, [Ming-Yu Liu](/person/ming-yu-liu), [Xiaodong Yang](/person/xiaodong-yang), [Jan Kautz](/person/jan-kautz)



[CVPR](https://arxiv.org/abs/1707.04993)









[PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume](/publication/2018-06_pwc-net-cnns-optical-flow-using-pyramid-warping-and-cost-volume)

Deqing Sun, [Xiaodong Yang](/person/xiaodong-yang), [Ming-Yu Liu](/person/ming-yu-liu), [Jan Kautz](/person/jan-kautz)



[CVPR](http://cvpr2018.thecvf.com/)









[Making Convolutional Networks Recurrent for Visual Sequence Learning](/index.php/publication/2018-06_making-convolutional-networks-recurrent-visual-sequence-learning)

[Xiaodong Yang](/index.php/person/xiaodong-yang), [Pavlo Molchanov](/index.php/person/pavlo-molchanov), [Jan Kautz](/index.php/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR)](http://xiaodongyang.org/publications/papers/prernn-cvpr18.pdf)









### 2017 

[Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network](/index.php/publication/2017-07_dynamic-facial-analysis-bayesian-filtering-recurrent-neural-network)

[Jinwei Gu](/index.php/person/jinwei-gu), [Xiaodong Yang](/index.php/person/xiaodong-yang), [Shalini De Mello](/index.php/person/shalini-de-mello), [Jan Kautz](/index.php/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017](http://cvpr2017.thecvf.com/)









### 2016 

[Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification](/publication/2016-10_multilayer-and-multimodal-fusion-deep-neural-networks-video-classification)

[Xiaodong Yang](/person/xiaodong-yang), [Pavlo Molchanov](/person/pavlo-molchanov), [Jan Kautz](/person/jan-kautz)



[ACM Multimedia](http://www.acmmm.org/2016/)









[Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks ](/index.php/publication/2016-06_online-detection-and-classification-dynamic-hand-gestures-recurrent-3d)

[Pavlo Molchanov](/index.php/person/pavlo-molchanov), [Xiaodong Yang](/index.php/person/xiaodong-yang), [Shaline Gupta](/index.php/person/shalini-de-mello), Kihwan Kim, [Stephen Tyree](/index.php/person/stephen-tyree), [Jan Kautz](/index.php/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016](http://cvpr2016.thecvf.com/)









[Towards Selecting Robust Hand Gestures for Automotive Interfaces ](/publication/2016-06_towards-selecting-robust-hand-gestures-automotive-interfaces)

Shalini Gupta, [Pavlo Molchanov](/person/pavlo-molchanov), [Xiaodong Yang](/person/xiaodong-yang), Kihwan Kim, [Stephen Tyree](/person/stephen-tyree), [Jan Kautz](/person/jan-kautz)



[IEEE Intelligent Vehicles Symposium](http://iv2016.org/)