activity
20192026
most citedPEAR: Phrase-Based Hand-Object Interaction Anticipation

4 citations · 21 across the 54 of their papers we have counts for

collaborators
Showing 2025Show all

13 papers · 1 filter

cs.CV2025

TrackTeller: Temporal Multimodal 3D Grounding for Behavior-Dependent Object References

Jiahong Yu, Ziqi Wang, Hailiang Zhao +3

Understanding natural-language references to objects in dynamic 3D driving scenes is essential for interactive autonomous systems. In practice, many referring expressions describe…

cs.CV2025

MatE: Material Extraction from Single-Image via Geometric Prior

Zeyu Zhang, Wei Zhai, Jian Yang +1

The creation of high-fidelity, physically-based rendering (PBR) materials remains a bottleneck in many graphics pipelines, typically requiring specialized equipment and expert-driv…

cs.LG2025

Anchoring Values in Temporal and Group Dimensions for Flow Matching Model Alignment

Yawen Shao, Jie Xiao, Kai Zhu +4

Group Relative Policy Optimization (GRPO) has proven highly effective in enhancing the alignment capabilities of Large Language Models (LLMs). However, current adaptations of GRPO…

cs.CV2025

WeMMU: Enhanced Bridging of Vision-Language Models and Diffusion Models via Noisy Query Tokens

Jian Yang, Dacheng Yin, Xiaoxuan He +6

Recent progress in multimodal large language models (MLLMs) has highlighted the challenge of efficiently bridging pre-trained Vision-Language Models (VLMs) with Diffusion Models. W…

cs.CV2025

TOUCH: Text-guided Controllable Generation of Free-Form Hand-Object Interactions

Guangyi Han, Wei Zhai, Yuhang Yang +2

Hand-object interaction (HOI) is fundamental for humans to express intent. Existing HOI generation research is predominantly confined to fixed grasping patterns, where control is t…

cs.CV2025

Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model

Pingyu Wu, Kai Zhu, Yu Liu +6

Autoregressive image generation aims to predict the next token based on previous ones. However, this process is challenged by the bidirectional dependencies inherent in conventiona…

cs.CV2025

GRACE: Estimating Geometry-level 3D Human-Scene Contact from 2D Images

Chengfeng Wang, Wei Zhai, Yuhang Yang +2

Estimating the geometry level of human-scene contact aims to ground specific contact surface points at 3D human geometries, which provides a spatial prior and bridges the interacti…

cs.CV2025★ 1 cited

Event-Based Eye Tracking. 2025 Event-based Vision Workshop

Qinyu Chen, Chang Gao, Min Liu +29

This survey serves as a review for the 2025 Event-Based Eye Tracking Challenge organized as part of the 2025 CVPR event-based vision workshop. This challenge focuses on the task of…

cs.CV2025

SIGMAN:Scaling 3D Human Gaussian Generation with Millions of Assets

Yuhang Yang, Fengqi Liu, Yixing Lu +8

3D human digitization has long been a highly pursued yet challenging task. Existing methods aim to generate high-quality 3D digital humans from single or multiple views, but remain…

cs.CV2025

Event Stream Filtering via Probability Flux Estimation

Jinze Chen, Wei Zhai, Yang Cao +2

Event cameras asynchronously capture brightness changes with microsecond latency, offering exceptional temporal precision but suffering from severe noise and signal inconsistencies…

cs.CV2025

EMoTive: Event-guided Trajectory Modeling for 3D Motion Estimation

Zengyu Wan, Wei Zhai, Yang Cao +1

Visual 3D motion estimation aims to infer the motion of 2D pixels in 3D space based on visual cues. The key challenge arises from depth variation induced spatio-temporal motion inc…

cs.CV2025

HERO: Human Reaction Generation from Videos

Chengjun Yu, Wei Zhai, Yuhang Yang +2

Human reaction generation represents a significant research domain for interactive AI, as humans constantly interact with their surroundings. Previous works focus mainly on synthes…

cs.CV2025

VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization

Zixun Fang, Zhiheng Liu, Kai Zhu +5

Video colorization aims to transform grayscale videos into vivid color representations while maintaining temporal consistency and structural integrity. Existing video colorization…