6 papers
Diffusion-guided Generalizable Enhancer for Urban Scene Reconstruction
Henry Che, Jingkang Wang, Yun Chen +3
Urban scene reconstruction from real-world observations has emerged as a powerful tool for self-driving development and testing. While current neural rendering approaches achieve h…
MUSE: Multimodal Uncertainty Quantification of State Estimation
Minkyung Kim, Henry Che, Bhargav Chandaka +6
Accurate visual state estimation has been a central topic in robotics with a wide range of applications in robot navigation, autonomous driving, and autonomous flight. Recent advan…
Flux4D: Flow-based Unsupervised 4D Reconstruction
Jingkang Wang, Henry Che, Yun Chen +4
Reconstructing large-scale dynamic scenes from visual observations is a fundamental challenge in computer vision, with critical implications for robotics and autonomous systems. Wh…
SceneDiff: A Benchmark and Method for Multiview Object Change Detection
Yuqun Wu, Chih-hao Lin, Henry Che +4
We investigate the problem of identifying objects that have been added, removed, or moved between a pair of captures (images or videos) of the same scene at different times. Accura…
LidarDM: Generative LiDAR Simulation in a Generated World
Vlas Zyrianov, Henry Che, Zhijian Liu +1
We present LidarDM, a novel LiDAR generative model capable of producing realistic, layout-aware, physically plausible, and temporally coherent LiDAR videos. LidarDM stands out with…
Human-like Navigation in a World Built for Humans
Bhargav Chandaka, Gloria X. Wang, Haozhe Chen +3
When navigating in a man-made environment they haven't visited before--like an office building--humans employ behaviors such as reading signs and asking others for directions. Thes…