10 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 10 cited
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…
cs.CV2019★ 3 cited
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…
cs.CV2019★ 9 cited
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…