collaborators

13 papers

cs.CV2026

LogiShot: Logically Coherent Cross-Shot Video Generation

Shuai Guo, Yuhang Yang, Zeyu Zhang +4

Generating cross-shot videos that are logically connected is essential for content creation. Currently, most cross-shot video-generation workflows, such as short-drama production,…

cs.CV2026

Dual-Pathway Geometry-Aware MLLM for Spatial Intelligence

Yufei Zheng, Xuhan Zhu, Zide Liu +9

Spatial understanding of the physical world from 2D visual inputs hinges on two complementary forms of geometric knowledge: holistic 3D structural perception and fine-grained metri…

cs.CV2026

TIE: Time Interval Encoding for Video Generation over Events

Zhilei Shu, Shangwen Zhu, Zihang Liang +10

Director-style prompting, robotic action prediction, and interactive video agents demand temporal grounding over concurrent events -- a regime in which 68% of general clips and ove…

cs.CV2026

Self-Consistent Latent Reasoning: Long Latent Sequence Reasoning for Vision-Language Model

Chenfeng Wang, Wei He, Xuhan Zhu +10

In language reasoning, longer chains of thought consistently yield better performance, which naturally suggests that visual latent reasoning may likewise benefit from longer latent…

cs.CV2026

Stereo World Model: Camera-Guided Stereo Video Generation

Yang-Tian Sun, Zehuan Huang, Yifan Niu +4

We present StereoWorld, a camera-conditioned stereo world model that jointly learns appearance and binocular geometry for end-to-end stereo video generation.Unlike monocular RGB or…

cs.CV2026

End-to-End Spatial-Temporal Transformer for Real-time 4D HOI Reconstruction

Haoyu Zhang, Wei Zhai, Yuhang Yang +2

Monocular 4D human-object interaction (HOI) reconstruction - recovering a moving human and a manipulated object from a single RGB video - remains challenging due to depth ambiguity…

cs.CV2026

EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning

Chengjun Yu, Xuhan Zhu, Chaoqun Du +4

Multimodal large language models (MLLMs) are increasingly considered as a foundation for embodied agents, yet it remains unclear whether they can reliably reason about the long-ter…

cs.CV2026

Event-based Visual Deformation Measurement

Yuliang Wu, Wei Zhai, Yuxin Cui +3

Visual Deformation Measurement (VDM) aims to recover dense deformation fields by tracking surface motion from camera observations. Traditional image-based methods rely on minimal i…

cs.CV2026

OmniVaT: Single Domain Generalization for Multimodal Visual-Tactile Learning

Liuxiang Qiu, Hui Da, Yuzhen Niu +3

Visual-tactile learning (VTL) enables embodied agents to perceive the physical world by integrating visual (VIS) and tactile (TAC) sensors. However, VTL still suffers from modality…

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

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

VideoGen-Eval: Agent-based System for Video Generation Evaluation

Yuhang Yang, Ke Fan, Shangkun Sun +7

The rapid advancement of video generation has rendered existing evaluation systems inadequate for assessing state-of-the-art models, primarily due to simple prompts that cannot sho…

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…