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Person Re-Identification by Deep Learning Muti-Part Information Complementary.

, , , and . ICIP, page 848-852. IEEE, (2018)

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Weak GNSS signal acquisition based on wavelet de-noising through lifting scheme and heuristic threshold optimization., , , , and . WPMC, page 135-140. IEEE, (2014)A switched view of Retinex: Deep self-regularized low-light image enhancement., , , , and . Neurocomputing, (2021)Taylor saves for later: disentanglement for video prediction using Taylor representation., , , , , and . CoRR, (2021)Region-Partition Based Bilinear Fusion Network for Person Re-Identification., , , , and . GlobalSIP, page 415-419. IEEE, (2018)Improve object detection via a multi-feature and multi-task CNN model., , , , and . VCIP, page 1-4. IEEE, (2017)Graph Regularized and Label-matched Dictionary Learning for Video-based Person Re-identification., , , , and . VCIP, page 1-4. IEEE, (2018)ResNet with Global and Local Image Features, Stacked Pooling Block, for Semantic Segmentation., , , , and . ICCC, page 79-83. IEEE, (2018)Multi-path Fusion Network For Semantic Image Segmentation., , , , and . ICCC, page 90-94. IEEE, (2018)Low-Light Image Enhancement with Attention and Multi-level Feature Fusion., , , , and . ICME Workshops, page 276-281. IEEE, (2019)Multi-Branch Context-Aware Network for Person Re-Identification., , , and . ICIP, page 2274-2278. IEEE, (2019)