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

• April 2024 - Now: Applied Scientist
  • Amazon AGI
• August 2022 - March 2024: 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

• Now You See Me: Context-Aware Automatic Audio Description
  Seon-Ho Lee, Jue Wang, David Fan, Zhikang Zhang, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li
  Winter Conference on Applications of Computer Vision (WACV) 2025

• GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning
  Yicheng Wang, Zhikang Zhang, Jue Wang, David Fan, Zhenlin Xu, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li
  Winter Conference on Applications of Computer Vision (WACV) 2025

• Video token merging for long-form video understanding
  Seon Ho Lee, Jue Wang, Zhikang Zhang, David Fan, Xinyu Arthur Li
  Conference on Neural Information Processing Systems (NeurIPS) 2024

• Text-guided video masked autoencoder
  David Fan, Jue Wang, Shuai Liao, Zhikang Zhang, Vimal Bhat, Xinyu Li
  European Conference on Computer Vision (ECCV) 2024

• Motion-guided masking for spatiotemporal representation learning
  David Fan, Jue Wang, Leo Liao, Yi Zhu, Vimal Bhat, Hector Santos, Rohith Mysore Vijaya Kumar, Xinyu Arthur Li
  IEEE International Conference on Computer Vision (ICCV) 2023

• 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