| NTIRE 2023 challenge on efficient super-resolution: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, L Yu, Y Li, X Li, T Jiang, Q Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 145 | 2023 |
| A practical contrastive learning framework for single-image super-resolution G Wu, J Jiang, X Liu IEEE Transactions on Neural Networks and Learning Systems 35 (11), 15834 - 15845, 2023 | 62 | 2023 |
| Glama: Joint spatial and frequency loss for general image inpainting Z Lu, J Jiang, J Huang, G Wu, X Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 29 | 2022 |
| NTIRE 2022 image inpainting challenge: Report A Romero, A Castillo, J Abril-Nova, R Timofte, R Das, S Hira, Z Pan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 28 | 2022 |
| Jingze Yu. The robodepth challenge: Methods and advancements towards robust depth estimation L Kong, Y Niu, S Xie, H Hu, LX Ng, B Cottereau, D Zhao, L Zhang, ... arXiv preprint arXiv:2307.15061 2, 27, 2023 | 19 | 2023 |
| Fully 1× 1 convolutional network for lightweight image super-resolution G Wu, J Jiang, K Jiang, X Liu Machine Intelligence Research, 1-15, 2024 | 14 | 2024 |
| No one idles: Efficient heterogeneous federated learning with parallel edge and server computation F Zhang, X Liu, S Lin, G Wu, X Zhou, J Jiang, X Ji International Conference on Machine Learning, 41399-41413, 2023 | 13 | 2023 |
| Incorporating transformer designs into convolutions for lightweight image super-resolution G Wu, J Jiang, Y Bai, X Liu arXiv preprint arXiv:2303.14324, 2023 | 10 | 2023 |
| The robodepth challenge: Methods and advancements towards robust depth estimation L Kong, Y Niu, S Xie, H Hu, LX Ng, BR Cottereau, L Zhang, H Wang, ... arXiv preprint arXiv:2307.15061, 2023 | 9 | 2023 |
| Learning from history: Task-agnostic model contrastive learning for image restoration G Wu, J Jiang, K Jiang, X Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5976-5984, 2024 | 8 | 2024 |
| Transforming image super-resolution: a ConvFormer-based efficient approach G Wu, J Jiang, J Jiang, X Liu IEEE Transactions on Image Processing 33, 6071 - 6082, 2024 | 7 | 2024 |
| Efficient online log parsing with log punctuations signature S Zhang, G Wu Applied Sciences 11 (24), 11974, 2021 | 7 | 2021 |
| The third monocular depth estimation challenge J Spencer, F Tosi, M Poggi, RS Arora, C Russell, S Hadfield, R Bowden, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| A hybrid hdp-me-lda model for sentiment analysis B Yuan, G Wu 2017 2nd International Conference on Automation, Mechanical Control and …, 2017 | 5 | 2017 |
| Effective Latent Representation for Prediction of Remaining Useful Life. Q Wang, G Wu Computer Systems Science & Engineering 36 (1), 2021 | 4 | 2021 |
| Lightweight architecture for real-time hand pose estimation with deep supervision Y Wu, X Ruan, Y Zhang, H Zhou, S Du, G Wu Symmetry 11 (4), 585, 2019 | 4 | 2019 |
| A survey on all-in-one image restoration: Taxonomy, evaluation and future trends J Jiang, Z Zuo, G Wu, K Jiang, X Liu arXiv preprint arXiv:2410.15067, 2024 | 2 | 2024 |
| Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration G Wu, J Jiang, K Jiang, X Liu ACM Multimedia, 2024 | 2 | 2024 |
| Zero-mean regularized spectral contrastive learning: Implicitly mitigating wrong connections in positive-pair graphs X Zhou, X Liu, F Zhang, G Wu, D Zhai, J Jiang, X Ji The Twelfth International Conference on Learning Representations, 2024 | 2 | 2024 |
| Universal SaaS platform of internet of things for real-time monitoring T Liu, G Wu AIP Conference Proceedings 1955 (1), 2018 | 1 | 2018 |
Junjun JiangHarbin Institute of Technologyยืนยันอีเมลแล้วที่ hit.edu.cn