soumakm / reinforcement-learning-in-computer-vision

Reinforcement-learning-in-computer-vision

Visual Tracking

[1] James Supančič, III, Deva Ramanan, Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning, ICCV, 2017. [Paper]

Visual Dialogue

[1] Abhishek Das, Satwik Kottur, José M. F. Moura, Stefan Lee, Dhruv Batra, earning Cooperative Visual Dialog Agents with Deep Reinforcement Learning, ICCV 2017. [Paper]

Human Behaviour Analysis

[1] Nicholas Rhinehart, Kris M. Kitani, First-Person Activity Forecasting With Online Inverse Reinforcement Learning, ICCV, 2017. [Paper]

Face Recognition and Hallucination

[1] Yongming Rao,Jiwen Lu, Jie Zhou. Attention-aware Deep Reinforcement Learning for Video Face Recognition, ICCV, 2017. [Paper]

[2] Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li.Attention-Aware Face Hallucination via Deep Reinforcement Learning. CVPR, 2017. [Paper]

Image Restoration

[1] Ke Yu, Chao Dong, Liang Lin, Chen Change Loy. Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. CVPR 2018. [Paper]

Semantic Parsing

[1] Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu. 3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds. ICCV, 2017. [Paper]

Video Summarization

[1] Kaiyang Zhou, Yu Qiao, Tao Xiang. Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward. AAAI, 2018. [Project]

Active Object localization

[1] Juan C. Caicedo, Svetlana Lazebnik. Active Object Localization with Deep Reinforcement Learning. ICCV, 2015. [Paper]