activity
20182022
most citedInstance-Aware Representation Learning and Association for Online Multi-Person Tracking

36 citations · 66 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2022★ 7 cited

Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning

Zaiyu Huang, Hanhui Li, Zhenyu Xie +3

In this paper, we target image-based person-to-person virtual try-on in the presence of diverse poses and large viewpoint variations. Existing methods are restricted in this settin…

cs.RO2021

Does elderly enjoy playing Bingo with a robot? A case study with the humanoid robot Nadine

Nidhi Mishra, Gauri Tulsulkar, Hanhui Li +1

There are considerable advancements in medical health care in recent years, resulting in rising older population. As the workforce for such a population is not keeping pace, there…

cs.RO2020★ 2 cited

Towards Complex and Continuous Manipulation: A Gesture Based Anthropomorphic Robotic Hand Design

Li Tian, Hanhui Li, Qifa Wang +5

Most current anthropomorphic robotic hands can realize part of the human hand functions, particularly for object grasping. However, due to the complexity of the human hand, few cur…

cs.RO2020★ 5 cited

Fast 3D Modeling of Anthropomorphic Robotic Hands Based on A Multi-layer Deformable Design

Li Tian, Hanhui Li, Muhammad Faaiz Khan Bin Abdul Halil +3

Current anthropomorphic robotic hands mainly focus on improving their dexterity by devising new mechanical structures and actuation systems. However, most of them rely on a single…

cs.CV2019★ 36 cited

Instance-Aware Representation Learning and Association for Online Multi-Person Tracking

Hefeng Wu, Yafei Hu, Keze Wang +3

Multi-Person Tracking (MPT) is often addressed within the detection-to-association paradigm. In such approaches, human detections are first extracted in every frame and person traj…

eess.IV2018★ 2 cited

Multi-column Point-CNN for Sketch Segmentation

Fei Wang, Shujin Lin, Hanhui Li +4

Traditional sketch segmentation methods mainly rely on handcrafted features and complicate models, and their performance is far from satisfactory due to the abstract representation…