activity
20122023
most citedShape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

433 citations · 771 across the 52 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 12 cited

Learning a Layout Transfer Network for Context Aware Object Detection

Tao Wang, Xuming He, Yuanzheng Cai +1

We present a context aware object detection method based on a retrieve-and-transform scene layout model. Given an input image, our approach first retrieves a coarse scene layout fr…

cs.CV2019★ 8 cited

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…

cs.CV2019★ 20 cited

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…

cs.CV2019★ 7 cited

Dynamic Context Correspondence Network for Semantic Alignment

Shuaiyi Huang, Qiuyue Wang, Songyang Zhang +2

Establishing semantic correspondence is a core problem in computer vision and remains challenging due to large intra-class variations and lack of annotated data. In this paper, we…

cs.CV2019★ 46 cited

LatentGNN: Learning Efficient Non-local Relations for Visual Recognition

Songyang Zhang, Shipeng Yan, Xuming He

Capturing long-range dependencies in feature representations is crucial for many visual recognition tasks. Despite recent successes of deep convolutional networks, it remains chall…

cs.GT2019★ 3 cited

Fixed-price Diffusion Mechanism Design

Tianyi Zhang, Dengji Zhao, Wen Zhang +1

We consider a fixed-price mechanism design setting where a seller sells one item via a social network, but the seller can only directly communicate with her neighbours initially. E…