activity
20152025
most citedSupervision by Registration and Triangulation for Landmark Detection

46 citations · 55 across the 6 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Generative Modeling of Shape-Dependent Self-Contact Human Poses

Takehiko Ohkawa, Jihyun Lee, Shunsuke Saito +7

One can hardly model self-contact of human poses without considering underlying body shapes. For example, the pose of rubbing a belly for a person with a low BMI leads to penetrati…

cs.CV2025

ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling

Jinhyung Park, Javier Romero, Shunsuke Saito +7

Parametric body models offer expressive 3D representation of humans across a wide range of poses, shapes, and facial expressions, typically derived by learning a basis over registe…

cs.CV2025

Relightable Full-Body Gaussian Codec Avatars

Shaofei Wang, Tomas Simon, Igor Santesteban +15

We propose Relightable Full-Body Gaussian Codec Avatars, a new approach for modeling relightable full-body avatars with fine-grained details including face and hands. The unique ch…

cs.CV20212 cited

CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo

Shiyu Tan, Yicheng Wu, Shoou-I Yu +1

Conventional stereo suffers from a fundamental trade-off between imaging volume and signal-to-noise ratio (SNR) -- due to the conflicting impact of aperture size on both these vari…

cs.CV202146 cited

Supervision by Registration and Triangulation for Landmark Detection

Xuanyi Dong, Yi Yang, Shih-En Wei +3

We present Supervision by Registration and Triangulation (SRT), an unsupervised approach that utilizes unlabeled multi-view video to improve the accuracy and precision of landmark…

cs.CV20201 cited

InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image

Gyeongsik Moon, Shoou-i Yu, He Wen +2

Analysis of hand-hand interactions is a crucial step towards better understanding human behavior. However, most researches in 3D hand pose estimation have focused on the isolated s…