1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2019★ 1 cited
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
Biao Qian, Yang Wang, Zhao Zhang +3
Deep convolutional neural networks have largely benefited computer vision tasks. However, the high computational complexity limits their real-world applications. To this end, many…
cs.CV2019
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification
Lin Wu, Yang Wang, Hongzhi Yin +2
Video-based person re-identification (re-ID) refers to matching people across camera views from arbitrary unaligned video footages. Existing methods rely on supervision signals to…
cs.IT2018
Matrix Completion with Deterministic Sampling: Theories and Methods
Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan +1
In some significant applications such as data forecasting, the locations of missing entries cannot obey any non-degenerate distributions, questioning the validity of the prevalent…