| Enable scale and aspect ratio adaptability in visual tracking with detection proposals D Huang12, L Luo, M Wen12, Z Chen12, C Zhang12 | 85 | 2015 |
| 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 | 32 | 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 | 29 | 2013 |
| 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 | 27 | 2019 |
| 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 | 23 | 2014 |
| 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 | 14 | 2021 |
| 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 | 7 | 2018 |
| 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 | 6 | 2019 |
| 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 | 5 | 2019 |
| 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 | 5 | 2018 |
| 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 |
| 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 | 4 | 2021 |
| 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 |
| Improving JavaScript Malware Classifier's Security against Evasion by Particle Swarm Optimization Z Yi, J Ma, L Luo, J Yu, Q Wu 2016 IEEE Trustcom/BigDataSE/ISPA, 1734-1740, 2016 | 4 | 2016 |
| 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 | 4 | 2016 |
| Mixed propagation for image retrieval L Luo, W Jia, C Zhang 2012 Fourth International Conference on Multimedia Information Networking …, 2012 | 3 | 2012 |
| Multi-object Tracking with a Hierarchical Single-branch Network F Wang, L Luo, E Zhu, S Wang MultiMedia Modeling: 28th International Conference, MMM 2022, Phu Quoc …, 2022 | 2 | 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 | 2 | 2020 |
| Multi-object tracking combines motion and visual information F Wang, E Zhu, L Luo, J Long Modeling Decisions for Artificial Intelligence: 17th International …, 2020 | 2 | 2020 |
| Extend capability of low-end android devices by scheduling apps between local and cloud S Li, L Luo, Y Liu, Y Zhang IEEE Access 6, 45740-45754, 2018 | 2 | 2018 |
