activity
20202026
most citedDART: Articulated Hand Model with Diverse Accessories and Rich Textures

18 citations · 31 across the 15 of their papers we have counts for

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8 papers · 1 filter

cs.CV2024

SemGrasp: Semantic Grasp Generation via Language Aligned Discretization

Kailin Li, Jingbo Wang, Lixin Yang +2

Generating natural human grasps necessitates consideration of not just object geometry but also semantic information. Solely depending on object shape for grasp generation confines…

cs.CV2024★ 1 cited

OAKINK2: A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion

Xinyu Zhan, Lixin Yang, Yifei Zhao +5

We present OAKINK2, a dataset of bimanual object manipulation tasks for complex daily activities. In pursuit of constructing the complex tasks into a structured representation, OAK…

cs.CV2023★ 3 cited

CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation

Kailin Li, Lixin Yang, Haoyu Zhen +6

In daily life, humans utilize hands to manipulate objects. Modeling the shape of objects that are manipulated by the hand is essential for AI to comprehend daily tasks and to learn…

cs.CV2023

Color-NeuS: Reconstructing Neural Implicit Surfaces with Color

Licheng Zhong, Lixin Yang, Kailin Li +3

The reconstruction of object surfaces from multi-view images or monocular video is a fundamental issue in computer vision. However, much of the recent research concentrates on reco…

cs.CV2022★ 18 cited

DART: Articulated Hand Model with Diverse Accessories and Rich Textures

Daiheng Gao, Yuliang Xiu, Kailin Li +6

Hand, the bearer of human productivity and intelligence, is receiving much attention due to the recent fever of digital twins. Among different hand morphable models, MANO has been…

cs.CV2022

OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction

Lixin Yang, Kailin Li, Xinyu Zhan +4

Learning how humans manipulate objects requires machines to acquire knowledge from two perspectives: one for understanding object affordances and the other for learning human's int…

cs.CV2021★ 4 cited

ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

Kailin Li, Lixin Yang, Xinyu Zhan +4

Estimating the articulated 3D hand-object pose from a single RGB image is a highly ambiguous and challenging problem, requiring large-scale datasets that contain diverse hand poses…

cs.CV2020★ 5 cited

CPF: Learning a Contact Potential Field to Model the Hand-Object Interaction

Lixin Yang, Xinyu Zhan, Kailin Li +3

Modeling the hand-object (HO) interaction not only requires estimation of the HO pose, but also pays attention to the contact due to their interaction. Significant progress has bee…