Learning to predict crisp boundaries R Deng, C Shen, S Liu, H Wang, X Liu Proc. European Conf. Computer Vision (ECCV), 2018 | 319 | 2018 |
Bottom-up broadcast neural network for music genre classification C Liu, L Feng, G Liu, H Wang, S Liu Multimedia Tools and Applications 80, 7313-7331, 2021 | 140 | 2021 |
Deep CNNs with Spatially Weighted Pooling for Fine-grained Car Recognition Q Hu, H Wang, T Li, C Shen IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017 | 123 | 2017 |
Kernelized multiview subspace analysis by self-weighted learning H Wang, Y Wang, Z Zhang, X Fu, L Zhuo, M Xu, M Wang IEEE Transactions on Multimedia 23, 3828-3840, 2020 | 119 | 2020 |
Progressive learning with multi-scale attention network for cross-domain vehicle re-identification Y Wang, J Peng, H Wang, M Wang Science China Information Sciences 65 (6), 160103, 2022 | 107 | 2022 |
Attribute-guided feature learning network for vehicle reidentification H Wang, J Peng, D Chen, G Jiang, T Zhao, X Fu IEEE MultiMedia 27 (4), 112-121, 2020 | 100 | 2020 |
Learning a distance metric by balancing kl-divergence for imbalanced datasets L Feng, H Wang, B Jin, H Li, M Xue, L Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (12), 2384-2395, 2018 | 80 | 2018 |
Towards adaptive consensus graph: multi-view clustering via graph collaboration H Wang, G Jiang, J Peng, R Deng, X Fu IEEE Transactions on Multimedia 25, 6629-6641, 2022 | 76 | 2022 |
Tensorial Multi-view Clustering via Low-rank Constrained High-order Graph Learning G Jiang, J Peng, H Wang*, Z Mi, X Fu IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 74 | 2022 |
Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clustering H Wang, M Yao, G Jiang, Z Mi, X Fu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 71 | 2023 |
Multi-path deep cnns for fine-grained car recognition H Wang, J Peng, Y Zhao, X Fu IEEE Transactions on Vehicular Technology 69 (10), 10484-10493, 2020 | 68 | 2020 |
Parallel recurrent convolutional neural networks-based music genre classification method for mobile devices R Yang, L Feng, H Wang, J Yao, S Luo IEEE Access 8, 19629-19637, 2020 | 68 | 2020 |
Discriminative feature and dictionary learning with part-aware model for vehicle re-identification H Wang, J Peng, G Jiang, F Xu, X Fu Neurocomputing 438, 55-62, 2021 | 66 | 2021 |
Structural analysis of attributes for vehicle re-identification and retrieval Y Zhao, C Shen, H Wang, S Chen IEEE Transactions on Intelligent Transportation Systems 21 (2), 723-734, 2019 | 65 | 2019 |
Scale-aware feature pyramid architecture for marine object detection F Xu, H Wang, J Peng, X Fu Neural Computing and Applications 33, 3637-3653, 2021 | 62 | 2021 |
Unsupervised vehicle re-identification with progressive adaptation J Peng, Y Wang, H Wang, Z Zhang, X Fu, M Wang International Joint Conference on Artificial Intelligence(IJCAI2020), 2020 | 59 | 2020 |
Learning multi-region features for vehicle re-identification with context-based ranking method J Peng, H Wang, T Zhao, X Fu Neurocomputing 359, 427-437, 2019 | 55 | 2019 |
Semantic Discriminative Metric Learning for Image Similarity Measurement H Wang, L Feng, J Zhang, Y Liu IEEE Transactions on Multimedia 18 (8), 1579-1589, 2016 | 50 | 2016 |
Robust activation function and its application: Semi-supervised kernel extreme learning method S Liu, L Feng, Y Xiao, H Wang Neurocomputing 144, 318-328, 2014 | 45 | 2014 |
Adaptive Memorization with Group-aware labels for Unsupervised Person Re-identification J Peng, G Jiang, H Wang* IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 40 | 2023 |