| Conditional generative adversarial network for structured domain adaptation W Hong, Z Wang, M Yang, J Yuan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 340 | 2018 |
| Machine learning for predicting thermodynamic properties of pure fluids and their mixtures Y Liu, W Hong, B Cao Energy 188, 116091, 2019 | 68 | 2019 |
| Fried binary embedding for high-dimensional visual features W Hong, J Yuan, SD Bhattacharjee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 36 | 2017 |
| Query adaptive instance search using object sketches SD Bhattacharjee, J Yuan, W Hong, X Ruan Proceedings of the 24th ACM international conference on Multimedia, 1306-1315, 2016 | 32 | 2016 |
| Lpsnet: A lightweight solution for fast panoptic segmentation W Hong, Q Guo, W Zhang, J Chen, W Chu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |
| Gilbert: Generative vision-language pre-training for image-text retrieval W Hong, K Ji, J Liu, J Wang, J Chen, W Chu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 23 | 2021 |
| Pruning 3d filters for accelerating 3d convnets Z Wang, W Hong, YP Tan, J Yuan IEEE Transactions on Multimedia 22 (8), 2126-2137, 2019 | 19 | 2019 |
| Tensorized projection for high-dimensional binary embedding W Hong, J Meng, J Yuan Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 14 | 2018 |
| Image hashing via linear discriminant learning W Hong, YT Chang, H Qin, WC Hung, YH Tsai, MH Yang Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 13 | 2020 |
| A top-down unified framework for instance-level human parsing H Qin, W Hong, WC Hung, YH Tsai, MH Yang British Machine Vision Conference, 2019 | 13 | 2019 |
| Cret: Cross-modal retrieval transformer for efficient text-video retrieval K Ji, J Liu, W Hong, L Zhong, J Wang, J Chen, W Chu Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 12 | 2022 |
| Fried binary embedding: From high-dimensional visual features to high-dimensional binary codes W Hong, J Yuan IEEE Transactions on Image Processing 27 (10), 4825-4837, 2018 | 12 | 2018 |
| Distributed composite quantization W Hong, J Meng, J Yuan Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 12 | 2018 |
| Asymmetric mapping quantization for nearest neighbor search W Hong, X Tang, J Meng, J Yuan IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (7), 1783-1790, 2019 | 10 | 2019 |
| Simultaneously short-and long-term temporal modeling for semi-supervised video semantic segmentation J Lao, W Hong, X Guo, Y Zhang, J Wang, J Chen, W Chu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Training object detectors from scratch: An empirical study in the era of vision transformer W Hong, J Lao, W Ren, J Wang, J Chen, W Chu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
| Deep reinforcement learning with label embedding reward for supervised image hashing Z Wang, W Hong, J Yuan arXiv preprint arXiv:2008.03973, 2020 | 2 | 2020 |
| Training methods and apparatuses for object detection system W Hong, W Ren, J Wang, J Chen, J Lao, W Chu US Patent App. 18/323,651, 2023 | | 2023 |
| Video retrieval method and apparatus JI Kaixiang, L Feng, J Wang, J Chen, J Liu, SUN Siyu, W Hong, HU Qiqi, ... US Patent App. 18/324,823, 2023 | | 2023 |
| Approximate Nearest Neighbor Search with Hashing and Quantization W Hong University of Portsmouth, 2022 | | 2022 |
Junsong YuanState University of New York at BuffaloVerified email at buffalo.edu
