| DenseFuse: A fusion approach to infrared and visible images H Li, XJ Wu IEEE Transactions on Image Processing 28 (5), 2614-2623, 2018 | 1535 | 2018 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 1016 | 2018 |
| RFN-Nest: An end-to-end residual fusion network for infrared and visible images H Li, XJ Wu, J Kittler Information Fusion 73, 72-86, 2021 | 714 | 2021 |
| The seventh visual object tracking VOT2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 592 | 2019 |
| Infrared and visible image fusion using a deep learning framework H Li, XJ Wu, J Kittler 2018 24th international conference on pattern recognition (ICPR), 2705-2710, 2018 | 591 | 2018 |
| NestFuse: An infrared and visible image fusion architecture based on nest connection and spatial/channel attention models H Li, XJ Wu, T Durrani IEEE Transactions on Instrumentation and Measurement 69 (12), 9645-9656, 2020 | 590 | 2020 |
| Wing loss for robust facial landmark localisation with convolutional neural networks ZH Feng, J Kittler, M Awais, P Huber, XJ Wu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 534 | 2018 |
| MDLatLRR: A novel decomposition method for infrared and visible image fusion H Li, XJ Wu, J Kittler IEEE Transactions on Image Processing 29, 4733-4746, 2020 | 507 | 2020 |
| Quantum-behaved particle swarm optimization: Analysis of individual particle behavior and parameter selection J Sun, W Fang, XJ Wu, V Palade, W Xu Evolutionary computation 20 (3), 349-393, 2012 | 432 | 2012 |
| Heartbeat classification using disease-specific feature selection Z Zhang, J Dong, X Luo, KS Choi, XJ Wu Computers in biology and medicine 46, 79-89, 2014 | 415 | 2014 |
| Learning adaptive discriminative correlation filters via temporal consistency preserving spatial feature selection for robust visual object tracking T Xu, ZH Feng, XJ Wu, J Kittler IEEE Transactions on Image Processing 28 (11), 5596-5609, 2019 | 409 | 2019 |
| Blind image quality assessment using a general regression neural network C Li, AC Bovik, XJ Wu IEEE Transactions on Neural Networks 22 (5), 793-799, 2011 | 366 | 2011 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 362 | 2020 |
| Infrared and visible image fusion with ResNet and zero-phase component analysis H Li, X Wu, TS Durrani Infrared Physics & Technology 102, 103039, 2019 | 347 | 2019 |
| A novel contour descriptor for 2D shape matching and its application to image retrieval X Shu, XJ Wu Image and vision Computing 29 (4), 286-294, 2011 | 269 | 2011 |
| Convergence analysis and improvements of quantum-behaved particle swarm optimization J Sun, XJ Wu, V Palade, W Fang, CH Lai, W Xu Information Sciences 193, 81-103, 2012 | 252 | 2012 |
| Particle swarm optimisation: classical and quantum perspectives J Sun, CH Lai, XJ Wu Crc Press, 2016 | 247 | 2016 |
| Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point J Sun, W Fang, V Palade, XJ Wu, W Xu Applied Mathematics and Computation 218 (7), 3763-3775, 2011 | 245 | 2011 |
| Joint group feature selection and discriminative filter learning for robust visual object tracking T Xu, ZH Feng, XJ Wu, J Kittler Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 235 | 2019 |
| Solving the power economic dispatch problem with generator constraints by random drift particle swarm optimization J Sun, V Palade, XJ Wu, W Fang, Z Wang IEEE Transactions on Industrial Informatics 10 (1), 222-232, 2013 | 234 | 2013 |
Josef KittlerUniversity of Surrey確認したメール アドレス: surrey.ac.uk
