collaborators

7 papers

cs.RO2026

MobiAgent: Dual-Loop Recursive Policy Self-Improvement for Long-Horizon Mobile Manipulation

Chenzhi Liu, Yue Zhang, Jiehong Lin +4

Long-horizon mobile manipulation presents significant challenges due to compounding execution errors and capacity interference between locomotion and arm control. While recent Visi…

cs.CV2026

LiFR v2: Completion-Augmented Event Propagation for High-Rate Dense Prediction

Tao Wan, Xiaoshan Wu, Yifei Yu +6

High-rate dense perception in dynamic environments is limited by the low update rate of RGB cameras, as rapid scene changes can occur between frames. Event cameras offer temporally…

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

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…