67 citations · 243 across the 18 of their papers we have counts for
4 papers · 1 filter
Three-Stream Convolutional Networks for Video-based Person Re-Identification
Zeng Yu, Tianrui Li, Ning Yu +3
This paper aims to develop a new architecture that can make full use of the feature maps of convolutional networks. To this end, we study a number of methods for video-based person…
Reconstruction of Hidden Representation for Robust Feature Extraction
Zeng Yu, Tianrui Li, Ning Yu +3
This paper aims to develop a new and robust approach to feature representation. Motivated by the success of Auto-Encoders, we first theoretical summarize the general properties of…
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks
Junbo Zhang, Yu Zheng, Dekang Qi +3
Forecasting the flow of crowds is of great importance to traffic management and public safety, and very challenging as it is affected by many complex factors, including spatial dep…
Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints
Jielei Chu, Hongjun Wang, Hua Meng +2
Restricted Boltzmann machines (RBMs) and their variants are usually trained by contrastive divergence (CD) learning, but the training procedure is an unsupervised learning approach…