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Mohan Kankanhalli
Mohan Kankanhalli
Professor of Computer Science, National University of Singapore
Bestätigte E-Mail-Adresse bei comp.nus.edu.sg - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Multimodal fusion for multimedia analysis: a survey
PK Atrey, MA Hossain, A El Saddik, MS Kankanhalli
Multimedia systems 16, 345-379, 2010
15012010
Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda
A Abdul, J Vermeulen, D Wang, BY Lim, M Kankanhalli
Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018
9762018
Shape measures for content based image retrieval: a comparison
BM Mehtre, MS Kankanhalli, WF Lee
Information processing & management 33 (3), 319-337, 1997
6391997
Attacks which do not kill training make adversarial learning stronger
J Zhang, X Xu, B Han, G Niu, L Cui, M Sugiyama, M Kankanhalli
International conference on machine learning, 11278-11287, 2020
4812020
Hierarchical clustering multi-task learning for joint human action grouping and recognition
AA Liu, YT Su, WZ Nie, M Kankanhalli
IEEE transactions on pattern analysis and machine intelligence 39 (1), 102-114, 2016
4212016
A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition
Y Hu, Y Wong, W Wei, Y Du, M Kankanhalli, W Geng
PloS one 13 (10), e0206049, 2018
4002018
Learning to learn from noisy labeled data
J Li, Y Wong, Q Zhao, MS Kankanhalli
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3952019
Predicting human gaze beyond pixels
J Xu, M Jiang, S Wang, MS Kankanhalli, Q Zhao
Journal of vision 14 (1), 28-28, 2014
3802014
Depth matters: Influence of depth cues on visual saliency
C Lang, TV Nguyen, H Katti, K Yadati, M Kankanhalli, S Yan
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
3422012
Aspect-aware latent factor model: Rating prediction with ratings and reviews
Z Cheng, Y Ding, L Zhu, M Kankanhalli
Proceedings of the 2018 world wide web conference, 639-648, 2018
3412018
Color matching for image retrieval
BM Mehtre, MS Kankanhalli, AD Narasimhalu, GC Man
Pattern Recognition Letters 16 (3), 325-331, 1995
3321995
Geometry-aware instance-reweighted adversarial training
J Zhang, J Zhu, G Niu, B Han, M Sugiyama, M Kankanhalli
arXiv preprint arXiv:2010.01736, 2020
3212020
Anonymous secure routing in mobile ad-hoc networks
B Zhu, Z Wan, MS Kankanhalli, F Bao, RH Deng
29th annual IEEE international conference on local computer networks, 102-108, 2004
3172004
An eye fixation database for saliency detection in images
S Ramanathan, H Katti, N Sebe, M Kankanhalli, TS Chua
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
2982010
Audio based event detection for multimedia surveillance
PK Atrey, NC Maddage, MS Kankanhalli
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
2932006
Hallucination is inevitable: An innate limitation of large language models
Z Xu, S Jain, M Kankanhalli
arXiv preprint arXiv:2401.11817, 2024
2922024
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface
W Wei, Y Wong, Y Du, Y Hu, M Kankanhalli, W Geng
Pattern Recognition Letters 119, 131-138, 2019
2762019
Controlled dissemination of digital information
AD Narasimhalu, W Wang, MS Kankanhalli
US Patent 5,499,298, 1996
2751996
Surface-electromyography-based gesture recognition by multi-view deep learning
W Wei, Q Dai, Y Wong, Y Hu, M Kankanhalli, W Geng
IEEE Transactions on Biomedical Engineering 66 (10), 2964-2973, 2019
2482019
MMALFM: Explainable recommendation by leveraging reviews and images
Z Cheng, X Chang, L Zhu, RC Kanjirathinkal, M Kankanhalli
ACM Transactions on Information Systems (TOIS) 37 (2), 1-28, 2019
2472019
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