67 citations · 192 across the 21 of their papers we have counts for
6 papers · 1 filter
Relational Graph Learning for Grounded Video Description Generation
Wenqiao Zhang, Xin Eric Wang, Siliang Tang +5
Grounded video description (GVD) encourages captioning models to attend to appropriate video regions (e.g., objects) dynamically and generate a description. Such a setting can help…
MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination
Shengyu Zhang, Donghui Wang, Zhou Zhao +3
In this paper, we investigate the problem of text-to-pedestrian synthesis, which has many potential applications in art, design, and video surveillance. Existing methods for text-t…
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…
Grounded and Controllable Image Completion by Incorporating Lexical Semantics
Shengyu Zhang, Tan Jiang, Qinghao Huang +7
In this paper, we present an approach, namely Lexical Semantic Image Completion (LSIC), that may have potential applications in art, design, and heritage conservation, among severa…
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li, Xin Wang, Siliang Tang +4
Visual navigation is a task of training an embodied agent by intelligently navigating to a target object (e.g., television) using only visual observations. A key challenge for curr…
Walking with MIND: Mental Imagery eNhanceD Embodied QA
Juncheng Li, Siliang Tang, Fei Wu +1
The EmbodiedQA is a task of training an embodied agent by intelligently navigating in a simulated environment and gathering visual information to answer questions. Existing approac…