8 citations · 10 across the 3 of their papers we have counts for
5 papers · 1 filter
Single Image 3D Object Estimation with Primitive Graph Networks
Qian He, Desen Zhou, Bo Wan +1
Reconstructing 3D object from a single image (RGB or depth) is a fundamental problem in visual scene understanding and yet remains challenging due to its ill-posed nature and compl…
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Rongjie Li, Songyang Zhang, Bo Wan +1
Scene graph generation is an important visual understanding task with a broad range of vision applications. Despite recent tremendous progress, it remains challenging due to the in…
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding
Yongfei Liu, Bo Wan, Lin Ma +1
Visual grounding, which aims to build a correspondence between visual objects and their language entities, plays a key role in cross-modal scene understanding. One promising and sc…
Learning Cross-modal Context Graph for Visual Grounding
Yongfei Liu, Bo Wan, Xiaodan Zhu +1
Visual grounding is a ubiquitous building block in many vision-language tasks and yet remains challenging due to large variations in visual and linguistic features of grounding ent…
Pose-aware Multi-level Feature Network for Human Object Interaction Detection
Bo Wan, Desen Zhou, Yongfei Liu +2
Reasoning human object interactions is a core problem in human-centric scene understanding and detecting such relations poses a unique challenge to vision systems due to large vari…