Publications

2021

Task-Generic Hierarchical Human Motion Prior using VAEs
In International Conference on 3D Vision (3DV), 2021

Project page PDF ArXiv

Contact-Aware Retargeting of Skinned Motion
In International Conference on Computer Vision (ICCV), 2021

Project page PDF ArXiv

Stochastic Scene-Aware Motion Prediction
In International Conference on Computer Vision (ICCV), 2021

Project page PDF ArXiv

Single-image Full-body Human Relighting
In Eurographics Symposium on Rendering (EGSR), 2021

Project page PDF ArXiv

2020

Contact and Human Dynamics from Monocular Video Spotlight
In European Conference on Computer Vision (ECCV), 2020

Project page PDF ArXiv (Spotlight acceptance rate: 5%)

2019

High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
In Advances in Neural Information Processing Systems (NeurIPS), 2019

Project page PDF ArXiv

Unsupervised Learning of Object Structure and Dynamics from Videos
In Advances in Neural Information Processing Systems (NeurIPS), 2019

Project page PDF ArXiv

Learning Latent Dynamics for Planning from Pixels
In Proceedings of the 36th International Conference on Machine Learning (ICML), 2019

Project page PDF ArXiv

2018

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
In European Conference on Computer Vision (ECCV), 2018

Project page PDF ArXiv

Hierarchical Long-term Video Prediction without Supervision
In Proceedings of the 35th International Conference on Machine Learning (ICML), 2018

Project page PDF ArXiv

Neural Kinematic Networks for Unsupervised Motion Retargetting Oral Presentation
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Project page PDF ArXiv (Oral acceptance rate: 2.1%)

2017

Learning to Generate Long-term Future via Hierarchical Prediction
In Proceedings of the 34th International Conference on Machine Learning (ICML), 2017

Project page PDF ArXiv

Decomposing Motion and Content for Natural Video Sequence Prediction
In International Conference on Learning Representations (ICLR), 2017

Project page PDF ArXiv

2015

Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction Oral Presentation
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

Project page PDF ArXiv (Oral acceptance rate: 3.3%)

2014

Who Do I Look Like? Determining Parent-Offspring Resemblance via Genetic Features
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

PDF

Professional Service

Journal Reviewer

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Image Processing (TIP)
  • Transactions on Graphics (ToG)
  • International Journal on Computer Vision (IJCV)

Conference Reviewer

  • AISTATS 2022
  • AAAI 2021-2022
  • CVPR 2019-2022
  • CoRL 2018
  • Eurographics 2020
  • ECCV 2020
  • ICCV 2019-2021
  • ICLR 2018-2022
  • ICML 2019-2022
  • ICRA 2020
  • IROS 2021
  • NeurIPS 2018-2021
  • Pacific Graphics 2019
  • SIGGRAPH 2019, 2020, 2022
  • SIGGRAPH Asia 2020, 2021
  • UAI 2018-2020

Workshop Reviewer

  • LUV 2019-2021
  • LXAI @ CVPR 2021

Talks and Teaching

Invited Talks

  • Tech Talk @Google AI, Mountain View, CA, US (June 2021)
  • Tech Talk @LXCV at CVPR, Seattle, US (June 2021)
  • Tech Talk @KAIST, Daejeon, Korea (April 2021)
  • Tech Talk @Waymo, Mountain View, US (March 2019)
  • Tech Talk @Uber ATG, Toronto, CA (February 2019)
  • Tech Talk @Adobe Research, San Jose, US (February 2019)

Teaching

  • Graduate Student Instructor for EECS 598 @University of Michigan: Deep Learning (Winter 2019)
  • Guest Lecture for EECS 492 @University of Michigan: Introduction to Artificial Intelligence (Winter 2019)