2 citations · 2 across the 4 of their papers we have counts for
6 papers · 1 filter
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,…
Stabilizing Streaming Video Geometry via Dynamic Feature Normalization
Xiaoyang Lyu, Muxin Liu, Xiaoshan Wu +5
Consistent 3D geometry estimation from streaming RGB input is crucial for real-world applications such as autonomous driving, embodied AI, and large-scale reconstruction. While mod…
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…
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…
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…
MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network
Xiaoshan Wu, Weihua He, Man Yao +3
Event cameras are considered to have great potential for computer vision and robotics applications because of their high temporal resolution and low power consumption characteristi…