| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2163 | 2015 |
| Enable scale and aspect ratio adaptability in visual tracking with detection proposals D Huang12, L Luo, M Wen12, Z Chen12, C Zhang12 | 90 | 2015 |
| Gaussian mixture model clustering with incomplete data Y Zhang, M Li, S Wang, S Dai, L Luo, E Zhu, H Xu, X Zhu, C Yao, H Zhou ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 69 | 2021 |
| Deep learning research and development platform: Characterizing and scheduling with qos guarantees on gpu clusters Z Chen, W Quan, M Wen, J Fang, J Yu, C Zhang, L Luo IEEE Transactions on Parallel and Distributed Systems 31 (1), 34-50, 2019 | 48 | 2019 |
| Applying detection proposals to visual tracking for scale and aspect ratio adaptability D Huang, L Luo, Z Chen, M Wen, C Zhang International journal of computer vision 122, 524-541, 2017 | 37 | 2017 |
| Shape similarity analysis by self-tuning locally constrained mixed-diffusion L Luo, C Shen, C Zhang, A van den Hengel IEEE transactions on multimedia 15 (5), 1174-1183, 2013 | 30 | 2013 |
| Let the data choose: Flexible and diverse anchor graph fusion for scalable multi-view clustering P Zhang, S Wang, L Li, C Zhang, X Liu, E Zhu, Z Liu, L Zhou, L Luo Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11262 …, 2023 | 26 | 2023 |
| A computational model of the short-cut rule for 2d shape decomposition L Luo, C Shen, X Liu, C Zhang IEEE Transactions on Image Processing 24 (1), 273-283, 2014 | 25 | 2014 |
| Multiple CNN-based tasks scheduling across shared GPU platform in research and development scenarios Z Chen, L Luo, W Quan, Y Shi, J Yu, M Wen, C Zhang 2018 IEEE 20th International Conference on High Performance Computing and …, 2018 | 12 | 2018 |
| Two-stage real-time multi-object tracking with candidate selection F Wang, L Luo, E Zhu MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech …, 2021 | 9 | 2021 |
| Deep learning workloads scheduling with reinforcement learning on GPU clusters Z Chen, L Luo, W Quan, M Wen, C Zhang IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019 | 9 | 2019 |
| Improving embedding generalization in few-shot learning with instance neighbor constraints Z Zhou, L Luo, Q Liao, X Liu, E Zhu IEEE Transactions on Image Processing, 2023 | 7 | 2023 |
| Deep discriminative clustering network X Shaol, K Ge, H Su, L Luo, B Peng, D Li 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 7 | 2018 |
| ROP-Hunt: Detecting return-oriented programming attacks in applications L Si, J Yu, L Luo, J Ma, Q Wu, S Li Security, Privacy, and Anonymity in Computation, Communication, and Storage …, 2016 | 6 | 2016 |
| Task-related saliency for few-shot image classification Z Zhou, L Luo, S Zhou, W Li, X Yang, X Liu, E Zhu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 5 | 2023 |
| GENIE: QoS-guided dynamic scheduling for CNN-based tasks on SME clusters Z Chen, L Luo, H Yang, J Yu, M Wen, C Zhang 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 5 | 2019 |
| Exploiting a depth context model in visual tracking with correlation filter Z Chen, L Luo, D Huang, M Wen, C Zhang Frontiers of Information Technology & Electronic Engineering 18 (5), 667-679, 2017 | 5 | 2017 |
| Multi-object Tracking with a Hierarchical Single-branch Network F Wang, L Luo, E Zhu, S Wang International Conference on Multimedia Modeling, 73-83, 2022 | 4 | 2022 |
| A real time vision-based smoking detection framework on edge R Chen, G Zeng, K Wang, L Luo, Z Cai J. Internet Things 2 (2), 55-64, 2020 | 4 | 2020 |
| MicRun: A framework for scale-free graph algorithms on SIMD architecture of the Xeon Phi J Lin, Q Wu, Y Tan, J Yu, Q Zhang, X Li, L Luo 2017 IEEE 28th International Conference on Application-specific Systems …, 2017 | 4 | 2017 |
