activity
20242026
collaborators

6 papers

cs.CV2026

Metric--Phase Fields: Decoupling Distance and Sign for Thin-Structure Reconstruction from Unoriented Point Clouds

Jiayi Kong, Xuhui Chen, Chen Zong +4

Neural Signed Distance Functions (SDFs) excel at reconstructing watertight manifolds but fail on thin structures and open boundaries due to strict inside--outside constraints. Conv…

cs.CV2026

Quasi-Medial Distance Field (Q-MDF): A Robust Method for Approximating and Discretizing Neural Medial Axes

Jiayi Kong, Chen Zong, Jun Luo +5

The medial axis, a lower-dimensional descriptor that captures the extrinsic structure of a shape, plays an important role in digital geometry processing. Despite its importance, co…

cs.CV2025

Voronoi-Assisted Optimization for Diffusing Unsigned Distance Fields from Unoriented Points

Jiayi Kong, Chen Zong, Junkai Deng +6

Unsigned Distance Fields (UDFs) provide a flexible representation for 3D shapes with arbitrary topology, including open and closed surfaces, orientable and non-orientable geometrie…

cs.AI2025

More Than Meets the Eye? Uncovering the Reasoning-Planning Disconnect in Training Vision-Language Driving Models

Xurui Song, Shuo Huai, JingJing Jiang +2

Vision-Language Model (VLM) driving agents promise explainable end-to-end autonomy by first producing natural-language reasoning and then predicting trajectory planning. However, w…

cs.CL2025

Dagger Behind Smile: Fool LLMs with a Happy Ending Story

Xurui Song, Zhixin Xie, Shuo Huai +2

The wide adoption of Large Language Models (LLMs) has attracted significant attention from attacks, where adversarial prompts crafted through optimization or m…

cs.CV2024

Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images

Jiayi Kong, Xurui Song, Shuo Huai +3

While 3D head reconstruction is widely used for modeling, existing neural reconstruction approaches rely on high-resolution multi-view images, posing notable privacy issues. Indivi…