activity
20192024
most citedConcentrated Multi-Grained Multi-Attention Network for Video Based Person Re-Identification

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language Model

Panwen Hu, Nan Xiao, Feifei Li +2

In this era of videos, automatic video editing techniques attract more and more attention from industry and academia since they can reduce workloads and lower the requirements for…

cs.CV2024

A multi-purpose automatic editing system based on lecture semantics for remote education

Panwen Hu, Rui Huang

Remote teaching has become popular recently due to its convenience and safety, especially under extreme circumstances like a pandemic. However, online students usually have a poor…

cs.CV2024

Towards Balanced RGB-TSDF Fusion for Consistent Semantic Scene Completion by 3D RGB Feature Completion and a Classwise Entropy Loss Function

Laiyan Ding, Panwen Hu, Jie Li +1

Semantic Scene Completion (SSC) aims to jointly infer semantics and occupancies of 3D scenes. Truncated Signed Distance Function (TSDF), a 3D encoding of depth, has been a common i…

cs.CV2020★ 2 cited

Concentrated Multi-Grained Multi-Attention Network for Video Based Person Re-Identification

Panwen Hu, Jiazhen Liu, Rui Huang

Occlusion is still a severe problem in the video-based Re-IDentification (Re-ID) task, which has a great impact on the success rate. The attention mechanism has been proved to be h…

cs.CV2019

How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint

Panwen Hu, Zizheng Yan, Rui Huang +1

Visual tracking is fragile in some difficult scenarios, for instance, appearance ambiguity and variation, occlusion can easily degrade most of visual trackers to some extent. In th…