| Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries J Hu, M Ozay, Y Zhang, T Okatani 2019 IEEE winter conference on applications of computer vision (WACV), 1043-1051, 2019 | 476 | 2019 |
| FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation F Deng, H Feng, M Liang, H Wang, Y Yang, Y Gao, J Chen, J Hu, X Guo, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 114 | 2021 |
| Visualization of convolutional neural networks for monocular depth estimation J Hu, Y Zhang, T Okatani Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 97 | 2019 |
| Deep depth completion from extremely sparse data: A survey J Hu, C Bao, M Ozay, C Fan, Q Gao, H Liu, TL Lam IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 76 | 2022 |
| Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment X Guo, J Hu, J Chen, F Deng, TL Lam IEEE Robotics and Automation Letters, 2021 | 69 | 2021 |
| Explicit attention-enhanced fusion for RGB-thermal perception tasks M Liang, J Hu, C Bao, H Feng, F Deng, TL Lam IEEE Robotics and Automation Letters 8 (7), 4060-4067, 2023 | 63 | 2023 |
| Pyramid pooling module-based semi-siamese network: A benchmark model for assessing building damage from xBD satellite imagery datasets Y Bai, J Hu, J Su, X Liu, H Liu, X He, S Meng, E Mas, S Koshimura Remote Sensing 12 (24), 4055, 2020 | 46 | 2020 |
| Boosting lightweight depth estimation via knowledge distillation J Hu, C Fan, H Jiang, X Guo, Y Gao, X Lu, TL Lam International Conference on Knowledge Science, Engineering and Management, 27-39, 2023 | 36 | 2023 |
| A Two-stage Unsupervised Approach for Low light Image Enhancement J Hu, X Guo, J Chen, G Liang, F Deng, TL Lam IEEE Robotics and Automation Letters, 2021 | 36 | 2021 |
| Private Semi-Supervised Federated Learning C Fan, J Hu, J Huang International Joint Conference on Artificial Intelligence (IJCAI), 2009-2015, 2022 | 28 | 2022 |
| PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation H Jiang, L Ding, J Hu, R Huang IEEE International Conference on 3D Vision (3DV), 2021 | 25 | 2021 |
| A multi-sensor data fusion system for laser welding process monitoring F Deng, Y Huang, S Lu, Y Chen, J Chen, H Feng, J Zhang, Y Yang, J Hu, ... IEEE Access 8, 147349-147357, 2020 | 23 | 2020 |
| Asymmetric self-play-enabled intelligent heterogeneous multirobot catching system using deep multiagent reinforcement learning Y Gao, J Chen, X Chen, C Wang, J Hu, F Deng, TL Lam IEEE Transactions on Robotics 39 (4), 2603-2622, 2023 | 20 | 2023 |
| Analysis of deep networks for monocular depth estimation through adversarial attacks with proposal of a defense method J Hu, T Okatani arXiv preprint arXiv:1911.08790, 2019 | 18 | 2019 |
| Attentional graph convolutional network for structure-aware audiovisual scene classification L Zhou, Y Zhou, X Qi, J Hu, TL Lam, Y Xu IEEE Transactions on Instrumentation and Measurement 72, 1-15, 2023 | 12 | 2023 |
| BaSICNet: Lightweight 3-D hand pose estimation network based on biomechanical structure information for dexterous manipulator teleoperation W Pang, Q Gao, Y Zhao, Z Ju, J Hu IEEE Transactions on Cognitive and Developmental Systems 16 (2), 448-457, 2022 | 9 | 2022 |
| Learn2Agree: Fitting With Multiple Annotators Without Objective Ground Truth N Berthouze, C Wang, Y Gao, C Fan, J Hu, TL Lam, ND Lane International Conference on Learning Representations Workshop, 2023 | 8* | 2023 |
| Feature pyramid attention network for audio‐visual scene classification L Zhou, Y Zhou, X Qi, J Hu, TL Lam, Y Xu CAAI Transactions on Intelligence Technology, 2024 | 7* | 2024 |
| Multirobolearn: An open-source framework for multi-robot deep reinforcement learning J Chen, F Deng, Y Gao, J Hu, X Guo, G Liang, TL Lam 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1-6, 2023 | 7 | 2023 |
| Few-shot multi-agent perception C Fan, J Hu, J Huang Proceedings of the 29th ACM International Conference on Multimedia, 1712-1720, 2021 | 7 | 2021 |
Tin Lun LAMThe Chinese University of Hong Kong, Shenzhencuhk.edu.cn의 이메일 확인됨