collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

OptiGeo: Efficient Monocular Geometry for Embodied Perception in Optically Challenging Scenes

Muxin Liu, Tianbo Liu, Jing Xia +7

Monocular depth estimation has achieved strong open-domain generalization, yet reliable robotic deployment remains difficult in transparent, reflective, and specular environments,…

cs.CV2026

PhysEditBench: A Protocol-Conditioned Benchmark for Dense Physical-Map Prediction with Image Editors

Jiaxin Yang, Yu Hou, Muxin Liu +5

Can general-purpose image editors predict physical maps from a single RGB image? General-purpose image editors differ from standard task-specific dense-prediction models: they do n…

cs.CV2026

LiFR-Seg: Anytime High-Frame-Rate Segmentation via Event-Guided Propagation

Xiaoshan Wu, Xiaoyang Lyu, Yifei Yu +3

Dense semantic segmentation in dynamic environments is fundamentally limited by the low-frame-rate (LFR) nature of standard cameras, which creates critical perceptual gaps between…

cs.CV2025

VideoSSM: Autoregressive Long Video Generation with Hybrid State-Space Memory

Yifei Yu, Xiaoshan Wu, Xinting Hu +8

Autoregressive (AR) diffusion enables streaming, interactive long-video generation by producing frames causally, yet maintaining coherence over minute-scale horizons remains challe…

cs.CV2025

EAG3R: Event-Augmented 3D Geometry Estimation for Dynamic and Extreme-Lighting Scenes

Xiaoshan Wu, Yifei Yu, Xiaoyang Lyu +5

Robust 3D geometry estimation from videos is critical for applications such as autonomous navigation, SLAM, and 3D scene reconstruction. Recent methods like DUSt3R demonstrate that…

cs.CV2025

MG-Nav: Dual-Scale Visual Navigation via Sparse Spatial Memory

Bo Wang, Jiehong Lin, Chenzhi Liu +5

We present MG-Nav (Memory-Guided Navigation), a dual-scale framework for zero-shot visual navigation that unifies global memory-guided planning with local geometry-enhanced control…

cs.CV2025

CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step

Zheyuan Liu, Munan Ning, Qihui Zhang +8

Current text-to-image (T2I) generation models struggle to align spatial composition with the input text, especially in complex scenes. Even layout-based approaches yield suboptimal…