| Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models J Xiao, R Stolkin, A Leonardis Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 72 | 2015 |
| Robust fusion of color and depth data for RGB-D target tracking using adaptive range-invariant depth models and spatio-temporal consistency constraints J Xiao, R Stolkin, Y Gao, A Leonardis IEEE transactions on cybernetics 48 (8), 2485-2499, 2018 | 67 | 2018 |
| PAM-DenseNet: A deep convolutional neural network for computer-aided COVID-19 diagnosis B Xiao, Z Yang, X Qiu, J Xiao, G Wang, W Zeng, W Li, Y Nian, W Chen IEEE Transactions on Cybernetics 52 (11), 12163-12174, 2021 | 57 | 2021 |
| Contrast-enhanced CT radiomics for predicting lymph node metastasis in pancreatic ductal adenocarcinoma: a pilot study K Li, Q Yao, J Xiao, M Li, J Yang, W Hou, M Du, K Chen, Y Qu, L Li, J Li, ... Cancer Imaging 20, 1-10, 2020 | 53 | 2020 |
| Deep convolutional radiomic features on diffusion tensor images for classification of glioma grades Z Zhang, J Xiao, S Wu, F Lv, J Gong, L Jiang, R Yu, T Luo Journal of Digital Imaging 33, 826-837, 2020 | 36 | 2020 |
| Continuously adaptive data fusion and model re-learning for particle filter tracking with multiple features J Xiao, R Stolkin, M Oussalah, A Leonardis IEEE Sensors Journal 16 (8), 2639 - 2649, 2016 | 34 | 2016 |
| Distractor-supported single target tracking in extremely cluttered scenes J Xiao, L Qiao, R Stolkin, A Leonardis Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 34 | 2016 |
| An enhanced adaptive coupled-layer LGTracker++ J Xiao, R Stolkin, A Leonardis Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 32 | 2013 |
| Association of radiomic imaging features and gene expression profile as prognostic factors in pancreatic ductal adenocarcinoma K Li, J Xiao, J Yang, M Li, X Xiong, Y Nian, L Qiao, H Wang, A Eresen, ... American journal of translational research 11 (7), 4491, 2019 | 28 | 2019 |
| Distributed Collaborative Camera Actuation Scheme Based on Sensing-Region Management for Wireless Multimedia Sensor Networks W Luo, Q Lu, J Xiao International Journal of Distributed Sensor Networks 2012, 2012 | 21 | 2012 |
| Prediction of multiple organ failure complicated by moderately severe or severe acute pancreatitis based on machine learning: a multicenter cohort study F Xu, X Chen, C Li, J Liu, Q Qiu, M He, J Xiao, Z Liu, B Ji, D Chen, K Liu Mediators of Inflammation 2021 (1), 5525118, 2021 | 19 | 2021 |
| Vehicle Logo Recognition by Spatial-SIFT Combined with Logistic Regression R Chen, M Hawes, L Mihaylova, J Xiao, W Liu Proceedings of Fusion 2016, 2016 | 19 | 2016 |
| Collaborative Tracking for Multiple Objects in the Presence of Inter-occlusions J Xiao, M Oussalah Circuits and Systems for Video Technology, IEEE Transactions on 26 (2), 304 …, 2015 | 19 | 2015 |
| Learning Target-Aware Correlation Filters for Visual Tracking FP Dongdong Li, Gongjian Wen, Yangliu Kuai, Jingjing Xiao Journal of Visual Communication and Image Representation 58, 149-159, 2019 | 16 | 2019 |
| LGT/VOT tracking performance evaluation of depth images H Haggag, M Hossny, S Haggag, J Xiao, S Nahavandi, D Creighton 2014 9th International Conference on System of Systems Engineering (SOSE …, 2014 | 16 | 2014 |
| Semi-NMF-based reconstruction for hyperspectral compressed sensing Z Wang, M He, L Wang, K Xu, J Xiao, Y Nian IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 15 | 2020 |
| Target-Aware Correlation Filter Tracking in RGBD Videos Y Kuai, G Wen, D Li, J Xiao IEEE Sensors Journal 19 (20), 9522-9531, 2019 | 15 | 2019 |
| Correlation Filter Tracking: Beyond an Open-loop System Q Hu, Y Guo, Y Chen, J Xiao, W An BMVC, 2017 | 13 | 2017 |
| Prediction of disease progression of COVID-19 based upon machine learning F Xu, X Chen, X Yin, Q Qiu, J Xiao, L Qiao, M He, L Tang, X Li, Q Zhang, ... International Journal of General Medicine, 1589-1598, 2021 | 9 | 2021 |
| Artificial classification of cervical squamous lesions in ThinPrep cytologic tests using a deep convolutional neural network L Liu, Y Wang, Q Ma, L Tan, Y Wu, J Xiao Oncology Letters 20 (4), 1-1, 2020 | 9 | 2020 |
Ales LeonardisProfessor of Computer ScienceVerified email at cs.bham.ac.uk
