most citedSHaRPose: Sparse High-Resolution Representation for Human Pose Estimation

34 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency

Zeqing Wang, Kangye Ji, Di Wang +2

Segment Anything Model (SAM) struggles in open-world scenarios with diverse domains. In such settings, naive fine-tuning with a well-designed learning module is inadequate and ofte…

cs.CV2024★ 1 cited

Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection

Ke Li, Fuyu Dong, Di Wang +4

Remote sensing change detection aims to perceive changes occurring on the Earth's surface from remote sensing data in different periods, and feed these changes back to humans. Howe…

cs.CV2024

NIV-SSD: Neighbor IoU-Voting Single-Stage Object Detector From Point Cloud

Shuai Liu, Di Wang, Quan Wang +1

Previous single-stage detectors typically suffer the misalignment between localization accuracy and classification confidence. To solve the misalignment problem, we introduce a nov…

cs.CV2024

A comprehensive framework for occluded human pose estimation

Linhao Xu, Lin Zhao, Xinxin Sun +3

Occlusion presents a significant challenge in human pose estimation. The challenges posed by occlusion can be attributed to the following factors: 1) Data: The collection and annot…

cs.CV2023★ 34 cited

SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation

Xiaoqi An, Lin Zhao, Chen Gong +3

High-resolution representation is essential for achieving good performance in human pose estimation models. To obtain such features, existing works utilize high-resolution input im…