activity
20202023
most citedA Gated Cross-domain Collaborative Network for Underwater Object Detection

148 citations · 259 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 1 cited

Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video

Yingxuan You, Hong Liu, Ti Wang +3

Despite significant progress in single image-based 3D human mesh recovery, accurately and smoothly recovering 3D human motion from a video remains challenging. Existing video-based…

cs.CV2023★ 148 cited

A Gated Cross-domain Collaborative Network for Underwater Object Detection

Linhui Dai, Hong Liu, Pinhao Song +1

Underwater object detection (UOD) plays a significant role in aquaculture and marine environmental protection. Considering the challenges posed by low contrast and low-light condit…

cs.CV2023★ 1 cited

Interweaved Graph and Attention Network for 3D Human Pose Estimation

Ti Wang, Hong Liu, Runwei Ding +3

Despite substantial progress in 3D human pose estimation from a single-view image, prior works rarely explore global and local correlations, leading to insufficient learning of hum…

cs.CV2023

GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D Pose

Yingxuan You, Hong Liu, Xia Li +3

3D human mesh recovery from a 2D pose plays an important role in various applications. However, it is hard for existing methods to simultaneously capture the multiple relations dur…

cs.CV2023★ 53 cited

Feature Completion Transformer for Occluded Person Re-identification

Tao Wang, Mengyuan Liu, Hong Liu +4

Occluded person re-identification (Re-ID) is a challenging problem due to the destruction of occluders. Most existing methods focus on visible human body parts through some prior i…

cs.CV2023

HTNet: Human Topology Aware Network for 3D Human Pose Estimation

Jialun Cai, Hong Liu, Runwei Ding +3

3D human pose estimation errors would propagate along the human body topology and accumulate at the end joints of limbs. Inspired by the backtracking mechanism in automatic control…