activity
20192025
most citedACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization

44 citations · 82 across the 9 of their papers we have counts for

collaborators
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10 papers · 1 filter

cs.CV2025

TUMTraf EMOT: Event-Based Multi-Object Tracking Dataset and Baseline for Traffic Scenarios

Mengyu Li, Xingcheng Zhou, Guang Chen +2

In Intelligent Transportation Systems (ITS), multi-object tracking is primarily based on frame-based cameras. However, these cameras tend to perform poorly under dim lighting and h…

cs.CV2023

UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework

Tianhang Wang, Guang Chen, Kai Chen +4

Multi-agent collaborative perception (MCP) has recently attracted much attention. It includes three key processes: communication for sharing, collaboration for integration, and rec…

cs.CV2023

TMA: Temporal Motion Aggregation for Event-based Optical Flow

Haotian Liu, Guang Chen, Sanqing Qu +4

Event cameras have the ability to record continuous and detailed trajectories of objects with high temporal resolution, thereby providing intuitive motion cues for optical flow est…

cs.CV20211 cited

HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration

Fan Lu, Guang Chen, Yinlong Liu +4

Point cloud registration is a fundamental problem in 3D computer vision. Outdoor LiDAR point clouds are typically large-scale and complexly distributed, which makes the registratio…

cs.CV202144 cited

ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization

Sanqing Qu, Guang Chen, Zhijun Li +3

Weakly-supervised temporal action localization aims to localize action instances temporal boundary and identify the corresponding action category with only video-level labels. Trad…

cs.CV202120 cited

Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection

Hu Cao, Guang Chen, Zhijun Li +2

The method of deep learning has achieved excellent results in improving the performance of robotic grasping detection. However, the deep learning methods used in general object det…