no code implementations • 3 Jun 2020 • Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington
One of the critical pieces of the self-driving puzzle is understanding the surroundings of a self-driving vehicle (SDV) and predicting how these surroundings will change in the near future.
no code implementations • 28 Nov 2018 • Shangxuan Wu, Xinshuo Weng
Most existing methods for object segmentation in computer vision are formulated as a labeling task.
1 code implementation • 9 Dec 2017 • Xiaohan Jin, Ye Qi, Shangxuan Wu
Face-off is an interesting case of style transfer where the facial expressions and attributes of one person could be fully transformed to another face.
no code implementations • 19 Jun 2017 • Xinshuo Weng, Shangxuan Wu, Fares Beainy, Kris Kitani
To address this issue, we propose a Rotational Rectification Network (R2N) that can be inserted into any CNN-based pedestrian (or object) detector to adapt it to significant changes in camera rotation.
no code implementations • 26 Apr 2016 • Shangxuan Wu, Ying-Cong Chen, Xiang Li, An-Cong Wu, Jin-Jie You, Wei-Shi Zheng
In this paper, we focus on the feature representation and claim that hand-crafted histogram features can be complementary to Convolutional Neural Network (CNN) features.