no code implementations • ECCV 2020 • Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu
Monocular 3D object detection is a challenging task due to unreliable depth, resulting in a distinct performance gap between monocular and LiDAR-based approaches.
no code implementations • NeurIPS 2021 • Guofeng Cui, He Zhu
Differentiable programs have recently attracted much interest due to their interpretability, compositionality, and their efficiency to leverage differentiable training.
1 code implementation • 16 Jul 2020 • Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu
When people deliver a speech, they naturally move heads, and this rhythmic head motion conveys prosodic information.
1 code implementation • 7 May 2020 • Lele Chen, Guofeng Cui, Ziyi Kou, Haitian Zheng, Chenliang Xu
In this work, we present a carefully-designed benchmark for evaluating talking-head video generation with standardized dataset pre-processing strategies.
no code implementations • 17 Nov 2019 • Ziyi Kou, Guofeng Cui, Shaojie Wang, Wentian Zhao, Chenliang Xu
In this paper, we propose a confidence segmentation (ConfSeg) module that builds confidence score for each pixel in CAM without introducing additional hyper-parameters.
no code implementations • 9 Sep 2019 • Ziyi Kou, Wentian Zhao, Guofeng Cui, Shaojie Wang
Weakly Supervised Object Localization (WSOL) methodsusually rely on fully convolutional networks in order to ob-tain class activation maps(CAMs) of targeted labels.