Contrastive learning for depth prediction R Fan, M Poggi, S Mattoccia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 19 | 2023 |
A Cascade Dense Connection Fusion Network for Depth Completion. R Fan, Z Li, M Poggi, S Mattoccia BMVC, 843, 2022 | 7 | 2022 |
基于广义线性系统和非锐化掩膜的图像增强算法. 范日召, 何斌, 刘燕君, 李军凯, 陈洋君 Chinese Journal of Liquid Crystal & Displays 31 (10), 2016 | 5 | 2016 |
Learning to adapt to low-resource paraphrase generation Z Li, Y Wang, R Fan, Y Wang, J Li, S Wang arXiv preprint arXiv:2412.17111, 2024 | 3 | 2024 |
基于 MAX9259/MAX9260 的 CameraLink 图像数据光纤传输技术 陈洋君, 吴志勇, 崔明, 张维达, 范日召 中国光学 (中英文) 11 (6), 1017-1023, 2018 | 3 | 2018 |
CameraLink image data fiber transmission technology based on MAX9259/MAX9260 YJ Chen, ZY Wu, M Cui, WD Zhang, RZ Fan | 3 | 2018 |
基于反锐化掩膜的红外图像增强算法研究 范日召 | 3 | 2016 |
Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data. R Fan, F Tosi, M Poggi, S Mattoccia BMVC, 356-357, 2023 | 2 | 2023 |
Exploring Few-Beam LiDAR Assistance in Self-Supervised Multi-Frame Depth Estimation R Fan, M Poggi, S Mattoccia 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | | 2024 |
Compact and effective models for depth prediction R Fan alma, 2024 | | 2024 |