17 citations · 34 across the 7 of their papers we have counts for
6 papers · 1 filter
MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion
Weihao Yuan, Rui Fan, Michael Yu Wang +1
We design a multiscopic vision system that utilizes a low-cost monocular RGB camera to acquire accurate depth estimation. Unlike multi-view stereo with images captured at unconstra…
Stereo Matching by Self-supervision of Multiscopic Vision
Weihao Yuan, Yazhan Zhang, Bingkun Wu +4
Self-supervised learning for depth estimation possesses several advantages over supervised learning. The benefits of no need for ground-truth depth, online fine-tuning, and better…
Learning to Predict Vehicle Trajectories with Model-based Planning
Haoran Song, Di Luan, Wenchao Ding +2
Predicting the future trajectories of on-road vehicles is critical for autonomous driving. In this paper, we introduce a novel prediction framework called PRIME, which stands for P…
Self-supervised Object Tracking with Cycle-consistent Siamese Networks
Weihao Yuan, Michael Yu Wang, Qifeng Chen
Self-supervised learning for visual object tracking possesses valuable advantages compared to supervised learning, such as the non-necessity of laborious human annotations and onli…
PiP: Planning-informed Trajectory Prediction for Autonomous Driving
Haoran Song, Wenchao Ding, Yuxuan Chen +3
It is critical to predict the motion of surrounding vehicles for self-driving planning, especially in a socially compliant and flexible way. However, future prediction is challengi…
Active Perception with A Monocular Camera for Multiscopic Vision
Weihao Yuan, Rui Fan, Michael Yu Wang +1
We design a multiscopic vision system that utilizes a low-cost monocular RGB camera to acquire accurate depth estimation for robotic applications. Unlike multi-view stereo with ima…