activity
20222024
most citedSwitching Temporary Teachers for Semi-Supervised Semantic Segmentation

16 citations · 33 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2024

NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model

Zhongqun Zhang, Hengfei Wang, Ziwei Yu +3

Modeling the physical contacts between the hand and object is standard for refining inaccurate hand poses and generating novel human grasp in 3D hand-object reconstruction. However…

cs.CV20241 cited

What Do You See in Vehicle? Comprehensive Vision Solution for In-Vehicle Gaze Estimation

Yihua Cheng, Yaning Zhu, Zongji Wang +5

Driver's eye gaze holds a wealth of cognitive and intentional cues crucial for intelligent vehicles. Despite its significance, research on in-vehicle gaze estimation remains limite…

cs.CV20241 cited

MoST: Motion Style Transformer between Diverse Action Contents

Boeun Kim, Jungho Kim, Hyung Jin Chang +1

While existing motion style transfer methods are effective between two motions with identical content, their performance significantly diminishes when transferring style between mo…

cs.CV2024

NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction

Zhongqun Zhang, Jifei Song, Eduardo Pérez-Pellitero +3

Modeling hand-object interactions is a fundamentally challenging task in 3D computer vision. Despite remarkable progress that has been achieved in this field, existing methods stil…

cs.CV202316 cited

Switching Temporary Teachers for Semi-Supervised Semantic Segmentation

Jaemin Na, Jung-Woo Ha, Hyung Jin Chang +2

The teacher-student framework, prevalent in semi-supervised semantic segmentation, mainly employs the exponential moving average (EMA) to update a single teacher's weights based on…

cs.CV20231 cited

High-Fidelity Eye Animatable Neural Radiance Fields for Human Face

Hengfei Wang, Zhongqun Zhang, Yihua Cheng +1

Face rendering using neural radiance fields (NeRF) is a rapidly developing research area in computer vision. While recent methods primarily focus on controlling facial attributes s…