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- research-articleMay 2019
Domain adaptation for retinal vessel segmentation using asymmetrical maximum classifier discrepancy
ACM TURC '19: Proceedings of the ACM Turing Celebration Conference - ChinaArticle No.: 94, Pages 1–6https://doi.org/10.1145/3321408.3322627Retinal vessel segmentation is indispensable for ophthalmic computer-aided diagnosis (CAD) and large-scale automatic detection system of retinal diseases. Recently, various convolutional neural networks (CNN) have been applied in retinal vessel ...
- research-articleApril 2019
Deep infrared pedestrian classification based on automatic image matting
Applied Soft Computing (APSC), Volume 77, Issue CPages 484–496https://doi.org/10.1016/j.asoc.2019.01.024AbstractInfrared pedestrian classification plays an important role in advanced driver assistance systems. However, it encounters great difficulties when the pedestrian images are superimposed on a cluttered background. Many researchers design very deep ...
Highlights- An automatic infrared image matting approach is proposed for pedestrian classification.
- The proposed approach can extract pedestrians and suppress irrelevant background without the need for any user interaction.
- In the ...
- research-articleOctober 2018
Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning
IEEE Transactions on Circuits and Systems for Video Technology (IEEETCSVT), Volume 28, Issue 10Pages 2622–2632https://doi.org/10.1109/TCSVT.2017.2723429With the development of video surveillance in public safety field, there is an increasing research on person re-identification (re-id). In this paper, we address the image-to-video person re-id, in which the probe is an image and the gallery is consists ...