1 code implementation • 4 Jul 2022 • Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Michael Yu Wang, Ming Liu, Mingqian Tang
Current methods for LIDAR semantic segmentation are not robust enough for real-world applications, e. g., autonomous driving, since it is closed-set and static.
no code implementations • 19 Apr 2022 • Xia Chen, Guanlan Zhang, Michael Yu Wang, Hongyu Yu
Vision-based tactile sensors have been widely studied in the robotics field for high spatial resolution and compatibility with machine learning algorithms.
no code implementations • 2 Dec 2021 • Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu
The first step is solved by the finding that unknown objects are often classified as known objects with low confidence, and we show that the Euclidean distance sum based on metric learning is a better confidence score than the naive softmax probability to differentiate unknown objects from known objects.
1 code implementation • ICCV 2021 • Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu
Incrementally learning these OOD objects with few annotations is an ideal way to enlarge the knowledge base of the deep learning models.
no code implementations • 5 Aug 2021 • Weihao Yuan, Rui Fan, Michael Yu Wang, Qifeng Chen
We design a multiscopic vision system that utilizes a low-cost monocular RGB camera to acquire accurate depth estimation.
no code implementations • 9 Apr 2021 • Weihao Yuan, Yazhan Zhang, Bingkun Wu, Siyu Zhu, Ping Tan, Michael Yu Wang, Qifeng Chen
Self-supervised learning for depth estimation possesses several advantages over supervised learning.
no code implementations • 6 Mar 2021 • Haoran Song, Di Luan, Wenchao Ding, Michael Yu Wang, Qifeng Chen
Predicting the future trajectories of on-road vehicles is critical for autonomous driving.
1 code implementation • 3 Aug 2020 • 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 online training.
1 code implementation • ECCV 2020 • Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, Qifeng Chen
Moreover, our approach enables a novel pipeline which couples the prediction and planning, by conditioning PiP on multiple candidate trajectories of the ego vehicle, which is highly beneficial for autonomous driving in interactive scenarios.
1 code implementation • 22 Jan 2020 • Weihao Yuan, Rui Fan, Michael Yu Wang, Qifeng Chen
We design a multiscopic vision system that utilizes a low-cost monocular RGB camera to acquire accurate depth estimation for robotic applications.
no code implementations • 9 Oct 2019 • Yazhan Zhang, Weihao Yuan, Zicheng Kan, Michael Yu Wang
In essence, successful grasp boils down to correct responses to multiple contact events between fingertips and objects.
1 code implementation • 5 Oct 2018 • Yazhan Zhang, Zicheng Kan, Yu Alexander Tse, Yang Yang, Michael Yu Wang
Tactile sensing is essential to the human perception system, so as to robot.