84 citations · 104 across the 6 of their papers we have counts for
6 papers
Visual Reasoning: from State to Transformation
Xin Hong, Yanyan Lan, Liang Pang +2
Most existing visual reasoning tasks, such as CLEVR in VQA, ignore an important factor, i.e.~transformation. They are solely defined to test how well machines understand concepts a…
Visual Transformation Telling
Wanqing Cui, Xin Hong, Yanyan Lan +3
Humans can naturally reason from superficial state differences (e.g. ground wetness) to transformations descriptions (e.g. raining) according to their life experience. In this pape…
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training
Yuqi Huo, Manli Zhang, Guangzhen Liu +32
Multi-modal pre-training models have been intensively explored to bridge vision and language in recent years. However, most of them explicitly model the cross-modal interaction bet…
Transformation Driven Visual Reasoning
Xin Hong, Yanyan Lan, Liang Pang +2
This paper defines a new visual reasoning paradigm by introducing an important factor, i.e.~transformation. The motivation comes from the fact that most existing visual reasoning t…
Robust Reinforcement Learning with Wasserstein Constraint
Linfang Hou, Liang Pang, Xin Hong +3
Robust Reinforcement Learning aims to find the optimal policy with some extent of robustness to environmental dynamics. Existing learning algorithms usually enable the robustness t…
Deep Fusion Network for Image Completion
Xin Hong, Pengfei Xiong, Renhe Ji +1
Deep image completion usually fails to harmonically blend the restored image into existing content, especially in the boundary area. This paper handles with this problem from a new…