3 code implementations • 12 Sep 2020 • Jinpeng Wang, Yuting Gao, Ke Li, Jianguo Hu, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun
Specifically, we construct a positive clip and a negative clip for each video.
no code implementations • CVPR 2018 • Peng Zhou, Bingbing Ni, Cong Geng, Jianguo Hu, Yi Xu
Scale problem lies in the heart of object detection.
1 code implementation • CVPR 2018 • Zan Shen, Yi Xu, Bingbing Ni, Minsi Wang, Jianguo Hu, Xiaokang Yang
Crowd counting or density estimation is a challenging task in computer vision due to large scale variations, perspective distortions and serious occlusions, etc.
Ranked #4 on Crowd Counting on WorldExpo’10
no code implementations • CVPR 2018 • Jinxian Liu, Bingbing Ni, Yichao Yan, Peng Zhou, Shuo Cheng, Jianguo Hu
On the other hand, in addition to the conventional discriminator of GAN (i. e., to distinguish between REAL/FAKE samples), we propose a novel guider sub-network which encourages the generated sample (i. e., with novel pose) towards better satisfying the ReID loss (i. e., cross-entropy ReID loss, triplet ReID loss).