activity
20182023
most citedLearning Multi-Attention Context Graph for Group-Based Re-Identification

73 citations · 289 across the 37 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CV2022

iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection

Zhiheng Hu, Yongzhen Wang, Peng Li +3

Small targets are often submerged in cluttered backgrounds of infrared images. Conventional detectors tend to generate false alarms, while CNN-based detectors lose small targets in…

cs.CV2022★ 2 cited

Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation

Jie Qin, Jie Wu, Ming Li +3

Albeit with varying degrees of progress in the field of Semi-Supervised Semantic Segmentation, most of its recent successes are involved in unwieldy models and the lightweight solu…

cs.CV2022★ 1 cited

Motion Sensitive Contrastive Learning for Self-supervised Video Representation

Jingcheng Ni, Nan Zhou, Jie Qin +4

Contrastive learning has shown great potential in video representation learning. However, existing approaches fail to sufficiently exploit short-term motion dynamics, which are cru…

cs.CV2022★ 5 cited

Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles

Guodong Wang, Yunhong Wang, Jie Qin +3

Video Anomaly Detection (VAD) is an important topic in computer vision. Motivated by the recent advances in self-supervised learning, this paper addresses VAD by solving an intuiti…

cs.CV2022

SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild

Jie Qin, Shuaihang Yuan, Jiaxin Chen +22

Sketch-based 3D shape retrieval (SBSR) is an important yet challenging task, which has drawn more and more attention in recent years. Existing approaches address the problem in a r…

cs.CV2022★ 46 cited

GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector

Peng Zheng, Huazhu Fu, Deng-Ping Fan +5

In this paper, we present a novel end-to-end group collaborative learning network, termed GCoNet+, which can effectively and efficiently (250 fps) identify co-salient objects in na…

cs.CV2022★ 9 cited

RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds

Bing Wang, Zhengdi Yu, Bo Yang +5

We present RangeUDF, a new implicit representation based framework to recover the geometry and semantics of continuous 3D scene surfaces from point clouds. Unlike occupancy fields…