19 citations · 26 across the 3 of their papers we have counts for
5 papers
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss
Cheng Yan, Guansong Pang, Xiao Bai +2
Person Re-IDentification (ReID) aims at re-identifying persons from different viewpoints across multiple cameras. Capturing the fine-grained appearance differences is often the key…
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li, Wenjie Yang, Shouheng Peng +1
Convolutional Neural Network (CNN) is one of the most significant networks in the deep learning field. Since CNN made impressive achievements in many areas, including but not limit…
Deep Residual-Dense Lattice Network for Speech Enhancement
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao +3
Convolutional neural networks (CNNs) with residual links (ResNets) and causal dilated convolutional units have been the network of choice for deep learning approaches to speech enh…
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks
Dong Wang, Lei Zhou, Xiao Bai +1
Acceleration of convolutional neural network has received increasing attention during the past several years. Among various acceleration techniques, filter pruning has its inherent…
Material Based Object Tracking in Hyperspectral Videos: Benchmark and Algorithms
Fengchao Xiong, Jun Zhou, Yuntao Qian
Traditional color images only depict color intensities in red, green and blue channels, often making object trackers fail in challenging scenarios, e.g., background clutter and rap…