1 code implementation • LREC 2022 • Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu, Elham J. Barezi, Peng Xu, Cheuk Tung Yiu, Rita Frieske, Holy Lovenia, Genta Winata, Qifeng Chen, Xiaojuan Ma, Bertram Shi, Pascale Fung
With the rise of deep learning and intelligent vehicles, the smart assistant has become an essential in-car component to facilitate driving and provide extra functionalities.
1 code implementation • 18 Jul 2024 • Yini Fang, Jingling Yu, Haozheng Zhang, Ralf van der Lans, Bertram Shi
The decoder predicts the gaze scanpath as a sequence of object fixations, by integrating output features from both the encoder and decoder.
1 code implementation • 9 May 2023 • Yini Fang, Liang Wu, Frederic Jumelle, Bertram Shi
We handle variable video length with a regression token that accumulates information from all frames into a fixed-dimensional vector independent of video length.
1 code implementation • 9 May 2023 • Yini Fang, Didan Deng, Liang Wu, Frederic Jumelle, Bertram Shi
In comparison to optical flow, phase provides more localized motion estimates, which are essential for ME spotting, resulting in higher performance.
no code implementations • 2 May 2020 • Yuying Chen, Congcong Liu, Bertram Shi, Ming Liu
Forecasting human trajectories is critical for tasks such as robot crowd navigation and autonomous driving.
2 code implementations • 21 Nov 2019 • Didan Deng, Zhaokang Chen, Yuqian Zhou, Bertram Shi
Spatial-temporal feature learning is of vital importance for video emotion recognition.
no code implementations • 10 Jul 2019 • Congcong Liu, Yuying Chen, Lei Tai, Ming Liu, Bertram Shi
Vision-based autonomous driving through imitation learning mimics the behaviors of human drivers by training on pairs of data of raw driver-view images and actions.