| Self-supervised Deep Correlation Tracking D Yuan, X Chang, PY Huang, Q Liu, Z He IEEE Transactions on Image Processing, 2020 | 266 | 2020 |
| Deep convolutional neural networks for thermal infrared object tracking Q Liu, X Lu, Z He, C Zhang, WS Chen Knowledge-Based Systems 134, 189-198, 2017 | 245 | 2017 |
| Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking Q Liu, X Li, Z He, N Fan, D Yuan, H Wang IEEE Transactions on Multimedia 23, 2114 - 2126, 2021 | 177 | 2021 |
| PTB-TIR: A thermal infrared pedestrian tracking benchmark Q Liu, Z He, X Li, Y Zheng IEEE Transactions on Multimedia 22 (3), 666-675, 2020 | 151 | 2020 |
| Hierarchical spatial-aware siamese network for thermal infrared object tracking X Li, Q Liu, N Fan, Z He, H Wang Knowledge-Based Systems 166, 71-81, 2019 | 133 | 2019 |
| Learning dual-level deep representation for thermal infrared tracking Q Liu, D Yuan, N Fan, P Gao, X Li, Z He IEEE Transactions on Multimedia 25, 1269 - 1281, 2022 | 108 | 2022 |
| Active learning for deep visual tracking D Yuan, X Chang, Q Liu, Y Yang, D Wang, M Shu, Z He, G Shi IEEE Transactions on Neural Networks and Learning Systems, 2023 | 105 | 2023 |
| A multi-view model for visual tracking via correlation filters X Li, Q Liu, Z He, H Wang, C Zhang, WS Chen Knowledge-Based Systems 113, 88-99, 2016 | 96 | 2016 |
| LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark Q Liu, X Li, Z He, C Li, J Li, Z Zhou, D Yuan, J Li, K Yang, N Fan, F Zheng ACM Multimedia Conference (MM 2020), 3847–3856, 2020 | 94 | 2020 |
| Multi-Task Driven Feature Models for Thermal Infrared Tracking Q Liu, X Li, Z He, N Fan, D Yuan, W Liu, Y Liang Thirty-Fourth AAAI Conference on Artifical Intelligence (AAAI2020), 11604--11611, 2020 | 72 | 2020 |
| Aligned spatial-temporal memory network for thermal infrared target tracking D Yuan, X Shu, Q Liu, Z He IEEE Transactions on Circuits and Systems II: Express Briefs 70 (3), 1224-1228, 2022 | 70 | 2022 |
| Visual object tracking with adaptive structural convolutional network D Yuan, X Li, Z He, Q Liu, S Lu Knowledge-Based Systems 194, 105554, 2020 | 69 | 2020 |
| Robust thermal infrared tracking via an adaptively multi-feature fusion model D Yuan, X Shu, Q Liu, X Zhang, Z He Neural Computing and Applications 35 (4), 3423-3434, 2023 | 49 | 2023 |
| Accurate bounding-box regression with distance-IoU loss for visual tracking D Yuan, X Shu, N Fan, X Chang, Q Liu, Z He Journal of Visual Communication and Image Representation 83, 103428, 2022 | 36 | 2022 |
| MSST-ResNet: Deep multi-scale spatiotemporal features for robust visual object tracking B Liu, Q Liu, Z Zhu, T Zhang, Y Yang Knowledge-Based Systems 164, 235-252, 2019 | 36 | 2019 |
| Object tracking based on online representative sample selection via non-negative least square W Ou, D Yuan, Q Liu, Y Cao Multimedia Tools and Applications 77, 10569-10587, 2018 | 35 | 2018 |
| Visual tracking via exemplar regression model X Ma, Q Liu, Z He, X Zhang, WS Chen Knowledge-Based Systems 106, 26-37, 2016 | 35 | 2016 |
| Siamese residual network for efficient visual tracking N Fan, Q Liu, X Li, Z Zhou, Z He Information Sciences 624, 606-623, 2023 | 31 | 2023 |
| LSOTB-TIR: A large-scale high-diversity thermal infrared single object tracking benchmark Q Liu, X Li, D Yuan, C Yang, X Chang, Z He IEEE Transactions on Neural Networks and Learning Systems, 2023 | 31 | 2023 |
| Thermal infrared target tracking: A comprehensive review D Yuan, H Zhang, X Shu, Q Liu, X Chang, Z He, G Shi IEEE Transactions on Instrumentation and Measurement, 2023 | 25 | 2023 |
Zhenyu HeHarbin Institute of TechnologyZweryfikowany adres z hit.edu.cn