3 papers
cs.CV2026
GIFT: Geometry-Invariant Fine-Tuning for Non-Lambertian Monocular Depth Estimation
Xianghui Fan, Zhaoyu Chen, Bingqian Wu +6
Monocular depth foundation models, benefiting from large-scale synthetic training data, have demonstrated strong generalization. However, they often hallucinate depth on non-Lamber…
cs.RO2026
Teleopit: A Full-Embodiment Humanoid Teleoperation System
Bingqian Wu, Zicheng Xu, Xianghui Fan +2
Humanoid teleoperation for demonstration collection requires coordinated whole-body motion, continuous dexterous hand control, and viewpoint control. Existing systems either simpli…
cs.CV2025
Auto3R: Automated 3D Reconstruction and Scanning via Data-driven Uncertainty Quantification
Chentao Shen, Sizhe Zheng, Bingqian Wu +5
Traditional high-quality 3D scanning and reconstruction typically relies on human labor to plan the scanning procedure. With the rapid development of embodied systems such as drone…