10 citations · 32 across the 6 of their papers we have counts for
6 papers
Neural Network Activation Quantization with Bitwise Information Bottlenecks
Xichuan Zhou, Kui Liu, Cong Shi +2
Recent researches on information bottleneck shed new light on the continuous attempts to open the black box of neural signal encoding. Inspired by the problem of lossy signal compr…
Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification
Haijun Liu, Jian Cheng
Existing person re-identification has achieved great progress in the visible domain, capturing all the person images with visible cameras. However, in a 24-hour intelligent surveil…
The General Pair-based Weighting Loss for Deep Metric Learning
Haijun Liu, Jian Cheng, Wen Wang +1
Deep metric learning aims at learning the distance metric between pair of samples, through the deep neural networks to extract the semantic feature embeddings where similar samples…
Attention: A Big Surprise for Cross-Domain Person Re-Identification
Haijun Liu, Jian Cheng, Shiguang Wang +1
In this paper, we focus on model generalization and adaptation for cross-domain person re-identification (Re-ID). Unlike existing cross-domain Re-ID methods, leveraging the auxilia…
PCN: Part and Context Information for Pedestrian Detection with CNNs
Shiguang Wang, Jian Cheng, Haijun Liu +1
Pedestrian detection has achieved great improvements in recent years, while complex occlusion handling is still one of the most important problems. To take advantage of the body pa…
Generic Extensional Framework for the Memristive Systems
Zhiwei Li, Haijun Liu, Xin Xu
Considering the over-requirement of continuity and "well-defined" confined by the canonical framework model for memristive systems, this short paper proposes a more generic extensi…