5 papers
Towards Real-world Lens Active Alignment with Unlabeled Data via Domain Adaptation
Wenyong Li, Qi Jiang, Weijian Hu +5
Active Alignment (AA) is a key technology for the large-scale automated assembly of high-precision optical systems. Compared with labor-intensive per-model on-device calibration, a…
Seeing Clearly and Deeply: An RGBD Imaging Approach with a Bio-inspired Monocentric Design
Zongxi Yu, Xiaolong Qian, Shaohua Gao +4
Achieving high-fidelity, compact RGBD imaging presents a dual challenge: conventional compact optics struggle with RGB sharpness across the entire depth-of-field, while software-on…
Neuro-inspired automated lens design
Yao Gao, Lei Sun, Shaohua Gao +7
The highly non-convex optimization landscape of modern lens design necessitates extensive human expertise, resulting in inefficiency and constrained design diversity. While automat…
QuaDreamer: Controllable Panoramic Video Generation for Quadruped Robots
Sheng Wu, Fei Teng, Hao Shi +4
Panoramic cameras, capturing comprehensive 360-degree environmental data, are suitable for quadruped robots in surrounding perception and interaction with complex environments. How…
Benchmarking the Robustness of Optical Flow Estimation to Corruptions
Zhonghua Yi, Hao Shi, Qi Jiang +5
Optical flow estimation is extensively used in autonomous driving and video editing. While existing models demonstrate state-of-the-art performance across various benchmarks, the r…