| Data-driven proton exchange membrane fuel cell degradation predication through deep learning method R Ma, T Yang, E Breaz, Z Li, P Briois, F Gao Applied energy 231, 102-115, 2018 | 329 | 2018 |
| Multi-object tracking with discriminant correlation filter based deep learning tracker T Yang, C Cappelle, Y Ruichek, M El Bagdouri Integrated Computer-Aided Engineering 26 (3), 273-284, 2019 | 59 | 2019 |
| 3D ToF LiDAR in mobile robotics: A review T Yang, Y Li, C Zhao, D Yao, G Chen, L Sun, T Krajnik, Z Yan arXiv preprint arXiv:2202.11025, 2022 | 50 | 2022 |
| Performance modeling a near-infrared tof lidar under fog: A data-driven approach T Yang, Y Li, Y Ruichek, Z Yan IEEE Transactions on Intelligent Transportation Systems 23 (8), 11227-11236, 2021 | 28 | 2021 |
| LaNoising: A data-driven approach for 903nm ToF LiDAR performance modeling under fog T Yang, Y Li, Y Ruichek, Z Yan 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 28 | 2020 |
| ConvNet and LSH-based visual localization using localized sequence matching Y Qiao, C Cappelle, Y Ruichek, T Yang Sensors 19 (11), 2439, 2019 | 24 | 2019 |
| Online multi-object tracking combining optical flow and compressive tracking in Markov decision process T Yang, C Cappelle, Y Ruichek, M El Bagdouri Journal of Visual Communication and Image Representation 58, 178-186, 2019 | 24 | 2019 |
| Raindrop removal with light field image using image inpainting T Yang, X Chang, H Su, N Crombez, Y Ruichek, T Krajnik, Z Yan IEEE Access 8, 58416-58426, 2020 | 16 | 2020 |
| Efficient online transfer learning for road participants detection in autonomous driving R Yang, Z Yan, T Yang, Y Wang, Y Ruichek IEEE Sensors Journal, 2023 | 11 | 2023 |
| Learn to model and filter point cloud noise for a near-infrared ToF LiDAR in adverse weather T Yang, Q Yu, Y Li, Z Yan IEEE Sensors Journal, 2023 | 11 | 2023 |
| Design and integration of hardware-in-the-loop simulation system for certain missile X Chang, T Yang, J Yan, M Wang System Simulation and Scientific Computing: International Conference, ICSC …, 2012 | 9 | 2012 |
| Embedding weather simulation in auto-labelling pipelines improves vehicle detection in adverse conditions G Broughton, J Janota, J Blaha, T Rouček, M Simon, T Vintr, T Yang, ... Sensors 22 (22), 8855, 2022 | 8 | 2022 |
| Efficient online transfer learning for 3d object classification in autonomous driving R Yang, Z Yan, Y Ruichek, T Yang 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 8 | 2021 |
| Modified atmospheric pressure extrapolation model using ERA5 for geodetic applications H Su, T Yang, B Sun, X Yang GPS Solutions 25 (3), 118, 2021 | 6 | 2021 |
| 3D ToF LiDAR in mobile robotics: A review. arXiv 2022 T Yang, Y Li, C Zhao, D Yao, G Chen, L Sun, T Krajnik, Z Yan arXiv preprint arXiv:2202.11025, 0 | 5 | |
| RMSC-VIO: Robust Multi-Stereoscopic Visual-Inertial Odometry for Local Visually Challenging Scenarios T Zhang, J Xu, H Shen, R Yang, T Yang IEEE Robotics and Automation Letters 9 (5), 4130-4137, 2024 | 3 | 2024 |
| Visual tracking using multi-layer CNN features based discriminant correlation filters with foreground mask T Yang, C Cappelle, Y Ruichek, M El Bagdouri Image and Signal Processing: 8th International Conference, ICISP 2018 …, 2018 | 3 | 2018 |
| Object tracking based on modified TLD framework using compressive sensing features T Yang, C Cappelle, Y Ruichek, M El Bagdouri Advances in Computational Intelligence: 15th Mexican International …, 2017 | 3 | 2017 |
| Evaluation of precipitable water vapor retrieval from homogeneously reprocessed long-term GNSS tropospheric zenith wet delay, and multi-technique H Su, T Yang, K Wang, B Sun, X Yang Remote sensing 13 (21), 4490, 2021 | 2 | 2021 |
| 3D ToF LiDAR for Mobile Robotics in Harsh Environments: A Review T Yang, J Hu, Y Li, C Zhao, L Sun, T Krajnik, Z Yan Unmanned Syst, 1-23, 2024 | 1 | 2024 |
Yassine RUICHEKProfessor of computer vision, University of Technology of Belfort MontbéliardZweryfikowany adres z utbm.fr