CV & Publications

Education

• B.S. in School of Information and Electronics, Beijing Institute of Technology, 2010-2012
• B.S. in College of Engineering and Computer Science, Australian National University, 2012-2015
• Ph.D in College of Engineering and Computer Science, Australian National University, 2016-2020

Work Experience

• August 2022 - Now: Machine Learning Scientist
  • Amazon Prime Video
• June 2020 - June 2022: Postdoctoral Researcher
  • Facebook AI Research Lab
• September - November 2019: Research Intern
  • Mitsubishi Electric Research Lab
• February - November 2018: Research Intern
  • Mitsubishi Electric Research Lab

Publications

• Selective Structured State-Spaces for Long-Form Video Understanding
  Jue Wang, Wentao Zhu, Pichao Wang, Xiang Yu, Linda Liu, Mohamed Omar, Raffay Hamid
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023

• Deformable video transformer
  Jue Wang, Lorenzo Torresani
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022

• Long-Short Temporal Contrastive Learning of Video Transformers
  Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022

• Generalized One-Class Learning Using Pairs of Complementary Classifiers
  Anoop Cherian^*， Jue Wang^{*
  *}Equal Contribution
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

• Learning Log-Determinant Divergences for Positive Definite Matrices
  Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash T Harandi, Vassilios Morellas, Nikos Papanikolopoulos
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

• VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs
  Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021

• Spatio-Temporal Ranked-Attention Networks for Video Captioning
  Anoop Cherian, Jue Wang, Chiori Hori, Tim Marks
  Winter Conference on Applications of Computer Vision (WACV) 2020

• Discriminative Video Representation Learning Using Support Vector Classifiers
  Jue Wang, Anoop Cherian
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

• GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection
  Jue Wang, Anoop Cherian
  IEEE International Conference on Computer Vision (ICCV) 2019

• End-to-end audio visual scene-aware dialog using multimodal attention-based video features
  Chiori Hori, Huda Alamri, Jue Wang, Gordon Wichern, Takaaki Hori, Anoop Cherian, Tim K Marks, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Irfan Essa, Dhruv Batra, Devi Parikh
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019

• Audio Visual Scene-Aware Dialog
  Huda Alamri, Vincent Cartillier, Abhishek Das, Jue Wang, Anoop Cherian, Irfan Essa, Dhruv Batra, Tim K Marks, Chiori Hori, Peter Anderson, Stefan Lee, Devi Parikh
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019

• Learning discriminative video representations using adversarial perturbations
  Jue Wang, Anoop Cherian
  15th European Conference on Computer Vision (ECCV) 2018, (Best Paper Finalists)

• Video Representation Learning Using Discriminative Pooling
  Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018

• Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description
  Chiori Hori, Takaaki Hori, Gordon Wichern, Jue Wang, Teng-yok Lee, Anoop Cherian, Tim K Marks
  IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2018

• Ordered Pooling of Optical Flow Sequences for Action Recognition
  Jue Wang, Anoop Cherian, Fatih Porikli
  Winter Conference on Applications of Computer Vision (WACV) 2017

Academic Service

• Peer Reviewer for ICCV, CVPR, ECCV, AAAI, ICLR, ICML, NIPS