| Self-supervised Deep Correlation Tracking D Yuan, X Chang, PY Huang, Q Liu, Z He IEEE Transactions on Image Processing, 2020 | 298 | 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 | 268 | 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 | 204 | 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 | 182 | 2020 |
| 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 35 (10), 13284-13296, 2023 | 156 | 2023 |
| 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 | 153 | 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 | 132 | 2022 |
| 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 | 121 | 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 | 98 | 2022 |
| 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 | 98 | 2016 |
| 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 | 83 | 2020 |
| Visual object tracking with adaptive structural convolutional network D Yuan, X Li, Z He, Q Liu, S Lu Knowledge-Based Systems 194, 105554, 2020 | 76 | 2020 |
| 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 73, 1-19, 2023 | 69 | 2023 |
| 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 | 61 | 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 35 (7), 9844 - 9857, 2024 | 51 | 2024 |
| Siamese residual network for efficient visual tracking N Fan, Q Liu, X Li, Z Zhou, Z He Information Sciences 624, 606-623, 2023 | 44 | 2023 |
| STFNet: Self-supervised transformer for infrared and visible image fusion Q Liu, J Pi, P Gao, D Yuan IEEE Transactions on Emerging Topics in Computational Intelligence 8 (2 …, 2024 | 41 | 2024 |
| 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 | 41 | 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 | 37 | 2019 |
| A comprehensive review of RGBT tracking H Zhang, D Yuan, X Shu, Z Li, Q Liu, X Chang, Z He, G Shi IEEE Transactions on Instrumentation and Measurement, 2024 | 36 | 2024 |
Zhenyu HeHarbin Institute of TechnologyVerified email at hit.edu.cn
