Medical image segmentation using deep learning: A survey R Wang, T Lei, R Cui, B Zhang, H Meng, AK Nandi IET image processing 16 (5), 1243-1267, 2022 | 484 | 2022 |
Strongsort: Make deepsort great again Y Du, Z Zhao, Y Song, Y Zhao, F Su, T Gong, H Meng IEEE Transactions on Multimedia 25, 8725-8737, 2023 | 466 | 2023 |
Significantly fast and robust fuzzy c-means clustering algorithm based on morphological reconstruction and membership filtering T Lei, X Jia, Y Zhang, L He, H Meng, AK Nandi IEEE Transactions on Fuzzy Systems 26 (5), 3027-3041, 2018 | 459 | 2018 |
Two view learning: SVM-2K, theory and practice J Farquhar, D Hardoon, H Meng, J Shawe-Taylor, S Szedmak Advances in neural information processing systems 18, 2005 | 437 | 2005 |
The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual …, 2006 | 371 | 2006 |
Superpixel-based Fast Fuzzy C-Means Clustering for Color Image Segmentation T Lei, X Jia, Y Zhang, S Liu, H Meng, AK Nandi IEEE Transactions on Fuzzy Systems, 2018 | 322 | 2018 |
Depression recognition based on dynamic facial and vocal expression features using partial least square regression H Meng, D Huang, H Wang, H Yang, M Ai-Shuraifi, Y Wang Proceedings of the 3rd ACM international workshop on Audio/visual emotion …, 2013 | 227 | 2013 |
The automatic detection of chronic pain-related expression: requirements, challenges and the multimodal EmoPain dataset MSH Aung, S Kaltwang, B Romera-Paredes, B Martinez, A Singh, M Cella, ... IEEE Transactions on Affective Computing 7 (4), 435-451, 2016 | 212 | 2016 |
What does touch tell us about emotions in touchscreen-based gameplay? Y Gao, N Bianchi-Berthouze, H Meng ACM Transactions on Computer-Human Interaction 19 (4), 2012 | 212 | 2012 |
Artificial intelligent system for automatic depression level analysis through visual and vocal expressions A Jan, H Meng, Y Gaus, F Zhang IEEE Transactions on Cognitive and Developmental Systems, 2017 | 202 | 2017 |
Improving" bag-of-keypoints" image categorisation: Generative models and pdf-kernels J Farquhar, S Szedmak, H Meng, J Shawe-Taylor Technical report, University of Southampton, 2005 | 164 | 2005 |
A human action recognition system for embedded computer vision application H Meng, N Pears, C Bailey 2007 IEEE conference on computer vision and pattern recognition, 1-6, 2007 | 154 | 2007 |
Automatic Fuzzy Clustering Framework for Image Segmentation T Lei, P Liu, X Jia, X Zhang, H Meng, AK Nandi IEEE Transactions on Fuzzy Systems, 2019 | 152 | 2019 |
Time-delay neural network for continuous emotional dimension prediction from facial expression sequences H Meng, N Bianchi-Berthouze, Y Deng, J Cheng, JP Cosmas IEEE Transactions on Cybernetics 46 (4), 916-929, 2016 | 117 | 2016 |
Automatic depression scale prediction using facial expression dynamics and regression A Jan, H Meng, YFA Gaus, F Zhang, S Turabzadeh Proceedings of the 4th International Workshop on Audio/Visual Emotion …, 2014 | 112 | 2014 |
Adaptive Morphological Reconstruction for Seeded Image Segmentation T Lei, X Jia, T Liu, S Liu, H Meng, AK Nandi IEEE Transactions on Image Processing, 2019 | 94 | 2019 |
Emotion detection from EEG recordings J Liu, H Meng, A Nandi, M Li 2016 12th international conference on natural computation, fuzzy systems and …, 2016 | 94 | 2016 |
Affective state level recognition in naturalistic facial and vocal expressions H Meng, N Bianchi-Berthouze IEEE Transactions on Cybernetics 44 (3), 315-328, 2014 | 91 | 2014 |
SMEConvNet: A Convolutional Neural Network for Spotting Spontaneous Facial Micro-Expression from Long Videos Z Zhang, T Chen, H Meng, G Liu, X Fu IEEE Access, 2018 | 82 | 2018 |
Naturalistic affective expression classification by a multi-stage approach based on hidden markov models H Meng, N Bianchi-Berthouze Affective computing and intelligent interaction, 378-387, 2011 | 82 | 2011 |