1 code implementation • 20 Jul 2022 • Siyang Li, Yifan Xu, Huanyu Wu, Dongrui Wu, Yingjie Yin, Jiajiong Cao, Jingting Ding
Facial affect analysis remains a challenging task with its setting transitioned from lab-controlled to in-the-wild situations.
1 code implementation • 17 Feb 2020 • Yingjie Yin, De Xu, Xingang Wang, Lei Zhang
We propose a directional deep embedding and appearance learning (DDEAL) method, which is free of the online fine-tuning process, for fast VOS.
no code implementations • 19 Apr 2019 • Siyang Sun, Yingjie Yin, Xingang Wang, De Xu, Yuan Zhao, Haifeng Shen
To address this problem, we propose a multiple receptive field and small-object-focusing weakly-supervised segmentation network (MRFSWSnet) to achieve fast object detection.
no code implementations • 13 Sep 2018 • Yingjie Yin, Lei Zhang, De Xu, Xingang Wang
The tracking-by-detection framework usually consist of two stages: drawing samples around the target object in the first stage and classifying each sample as the target object or background in the second stage.