activity
20182022
most citedGated Context Aggregation Network for Image Dehazing and Deraining

37 citations · 82 across the 6 of their papers we have counts for

collaborators

14 papers

cs.CV20222 cited

Multi-Robot Active Mapping via Neural Bipartite Graph Matching

Kai Ye, Siyan Dong, Qingnan Fan +5

We study the problem of multi-robot active mapping, which aims for complete scene map construction in minimum time steps. The key to this problem lies in the goal position estimati…

cs.CV2021

ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation

Yanchao Yang, Hanxiang Ren, He Wang +5

We describe an unsupervised domain adaptation method for image content shift caused by viewpoint changes for a semantic segmentation task. Most existing methods perform domain alig…

cs.CV2021

Contrastive Multimodal Fusion with TupleInfoNCE

Yunze Liu, Qingnan Fan, Shanghang Zhang +3

This paper proposes a method for representation learning of multimodal data using contrastive losses. A traditional approach is to contrast different modalities to learn the inform…

cs.CV2021

CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds

Yijia Weng, He Wang, Qiang Zhou +6

In this work, we tackle the problem of category-level online pose tracking of objects from point cloud sequences. For the first time, we propose a unified framework that can handle…

cs.CV202034 cited

P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding

Yunze Liu, Li Yi, Shanghang Zhang +3

Self-supervised representation learning is a critical problem in computer vision, as it provides a way to pretrain feature extractors on large unlabeled datasets that can be used a…

cs.CV20202 cited

Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments

Siyan Dong, Qingnan Fan, He Wang +5

Localizing the camera in a known indoor environment is a key building block for scene mapping, robot navigation, AR, etc. Recent advances estimate the camera pose via optimization…