Underwater image enhancement with a deep residual framework P Liu, G Wang, H Qi, C Zhang, H Zheng, Z Yu IEEE access 7, 94614-94629, 2019 | 151 | 2019 |
Multi-scale adversarial network for underwater image restoration J Lu, N Li, S Zhang, Z Yu, H Zheng, B Zheng Optics & Laser Technology 110, 105-113, 2019 | 147 | 2019 |
Automatic plankton image classification combining multiple view features via multiple kernel learning H Zheng, R Wang, Z Yu, N Wang, Z Gu, B Zheng BMC bioinformatics 18, 1-18, 2017 | 114 | 2017 |
Deep learning of support vector machines with class probability output networks S Kim, Z Yu, RM Kil, M Lee Neural Networks 64, 19-28, 2015 | 104 | 2015 |
TumorGAN: A multi-modal data augmentation framework for brain tumor segmentation Q Li, Z Yu, Y Wang, H Zheng Sensors 20 (15), 4203, 2020 | 77 | 2020 |
Discriminative region proposal adversarial networks for high-quality image-to-image translation C Wang, H Zheng, Z Yu, Z Zheng, Z Gu, B Zheng Proceedings of the European conference on computer vision (ECCV), 770-785, 2018 | 75 | 2018 |
Improving transfer learning and squeeze-and-excitation networks for small-scale fine-grained fish image classification C Qiu, S Zhang, C Wang, Z Yu, H Zheng, B Zheng IEEE Access 6, 78503-78512, 2018 | 72 | 2018 |
Unpaired photo-to-caricature translation on faces in the wild Z Zheng, C Wang, Z Yu, N Wang, H Zheng, B Zheng Neurocomputing 355, 71-81, 2019 | 44 | 2019 |
A hybrid convolutional neural network for plankton classification J Dai, Z Yu, H Zheng, B Zheng, N Wang Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017 | 42 | 2017 |
The synthesis of unpaired underwater images using a multistyle generative adversarial network N Li, Z Zheng, S Zhang, Z Yu, H Zheng, B Zheng IEEE Access 6, 54241-54257, 2018 | 38 | 2018 |
CGAN-plankton: Towards large-scale imbalanced class generation and fine-grained classification C Wang, Z Yu, H Zheng, N Wang, B Zheng 2017 IEEE International Conference on Image Processing (ICIP), 855-859, 2017 | 35 | 2017 |
Continuous timescale long-short term memory neural network for human intent understanding Z Yu, DS Moirangthem, M Lee Frontiers in neurorobotics 11, 42, 2017 | 35 | 2017 |
Human motion based intent recognition using a deep dynamic neural model Z Yu, M Lee Robotics and Autonomous Systems 71, 134-149, 2015 | 35 | 2015 |
Unsupervised pixel-wise classification for Chaetoceros image segmentation N Tang, F Zhou, Z Gu, H Zheng, Z Yu, B Zheng Neurocomputing 318, 261-270, 2018 | 31 | 2018 |
Underwater image enhancement based on a spiral generative adversarial framework R Han, Y Guan, Z Yu, P Liu, H Zheng IEEE Access 8, 218838-218852, 2020 | 29 | 2020 |
Real-time human action classification using a dynamic neural model Z Yu, M Lee Neural Networks 69, 29-43, 2015 | 24 | 2015 |
Object extraction from underwater images through logical stochastic resonance B Zheng, N Wang, H Zheng, Z Yu, J Wang Optics letters 41 (21), 4967-4970, 2016 | 22 | 2016 |
Texture and shape information fusion of convolutional neural network for plankton image classification J Cui, B Wei, C Wang, Z Yu, H Zheng, B Zheng, H Yang 2018 Oceans-MTS/IEEE Kobe Techno-Oceans (OTO), 1-5, 2018 | 20 | 2018 |
Feeble object detection of underwater images through LSR with delay loop N Wang, B Zheng, H Zheng, Z Yu Optics express 25 (19), 22490-22498, 2017 | 20 | 2017 |
Generative adversarial network with multi-branch discriminator for imbalanced cross-species image-to-image translation Z Zheng, Z Yu, Y Wu, H Zheng, B Zheng, M Lee Neural Networks 141, 355-371, 2021 | 19 | 2021 |