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cs.CV2026

Dyn-3D: Unveiling and Resolving Ego-Motion Ambiguity in Vision-Language Models

Jiayu Ding, Zhuodong Liu, Lei Zhang +6

As Vision-Language Models (VLMs) tackle dynamic 3D spatial reasoning, ego-motion perception becomes essential to resolve monocular scale ambiguity. However, current models often ov…

cs.CV2026

CausalSplat: Towards Comprehensive Hierarchical Reasoning in 3D Gaussian Splatting

Jiayu Ding, Meilu Song, Yun Chen +2

While 3D Gaussian Splatting (3DGS) has advanced open vocabulary scene understanding, existing methods remain confined to explicit queries. They struggle to interpret implicit inten…

cs.CV2026

ZeroSplat: Generalized Referring Segmentation in 3D Gaussian Splatting

Jiayu Ding, Meilu Song, Xiaoyi Zhang +3

Recent advancements in 3D Gaussian Splatting (3DGS) have enabled language-guided scene understanding. However, existing Referring 3D Gaussian Splatting (R3DGS) methods are fundamen…

cs.CV2026

TIR-Flow: Active Video Search and Reasoning with Frozen VLMs

Hongbo Jin, Siyi Xie, Jiayu Ding +2

While Large Video-Language Models (Video-LLMs) have achieved remarkable progress in perception, their reasoning capabilities remain a bottleneck. Existing solutions typically resor…

cs.CV2025

ExtrinSplat: Decoupling Geometry and Semantics for Open-Vocabulary Understanding in 3D Gaussian Splatting

Jiayu Ding, Xinpeng Liu, Zhiyi Pan +2

Lifting 2D open-vocabulary understanding into 3D Gaussian Splatting (3DGS) scenes is a critical challenge. Mainstream methods, built on an embedding paradigm, suffer from three key…

cs.CV2025

VISTA: Mitigating Semantic Inertia in Video-LLMs via Training-Free Dynamic Chain-of-Thought Routing

Hongbo Jin, Jiayu Ding, Siyi Xie +2

Recent advancements in Large Language Models have successfully transitioned towards System 2 reasoning, yet applying these paradigms to video understanding remains challenging. Whi…