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Kankana Roy
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2020 – today
- 2024
- [j6]Nesryne Mejri, Laura Lopez-Fuentes, Kankana Roy, Pavel Chernakov, Enjie Ghorbel, Djamila Aouada:
Unsupervised anomaly detection in time-series: An extensive evaluation and analysis of state-of-the-art methods. Expert Syst. Appl. 256: 124922 (2024) - [j5]Kankana Roy, Rajiv R. Sahay:
Hand Segmentation With Dense Dilated U-Net and Structurally Incoherent Nonnegative Matrix Factorization-Based Gesture Recognition. IEEE Trans. Hum. Mach. Syst. 54(3): 238-249 (2024) - [j4]Kankana Roy:
Multimodal Score Fusion with Sparse Low-rank Bilinear Pooling for Egocentric Hand Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 227:1-227:22 (2024) - [j3]Aparna Mohanty, Kankana Roy, Rajiv Ranjan Sahay:
Robust static hand gesture recognition: harnessing sparsity of deeply learned features. Vis. Comput. 40(9): 6507-6531 (2024) - 2022
- [j2]Kankana Roy:
Unsupervised Sparse, Nonnegative, Low Rank Dictionary Learning for Detection of Driver Cell Phone Usage. IEEE Trans. Intell. Transp. Syst. 23(10): 18200-18209 (2022) - [j1]Kankana Roy, Rajiv Ranjan Sahay:
A robust multi-scale deep learning approach for unconstrained hand detection aided by skin segmentation. Vis. Comput. 38(8): 2801-2825 (2022) - [i1]Nesryne Mejri, Laura Lopez-Fuentes, Kankana Roy, Pavel Chernakov, Enjie Ghorbel, Djamila Aouada:
Unsupervised Anomaly Detection in Time-series: An Extensive Evaluation and Analysis of State-of-the-art Methods. CoRR abs/2212.03637 (2022)
2010 – 2019
- 2018
- [c2]Kankana Roy, Rajiv R. Sahay:
Dynamic Gesture Recognition with Pose-based CNN Features derived from videos using LSTM. ICVGIP 2018: 45:1-45:9 - [p1]Aparna Mohanty, Kankana Roy, Rajiv Ranjan Sahay:
Nrityamanthan: Unravelling the Intent of the Dancer Using Deep Learning. Heritage Preservation 2018: 209-239 - 2017
- [c1]Kankana Roy, Aparna Mohanty, Rajiv Ranjan Sahay:
Deep Learning Based Hand Detection in Cluttered Environment Using Skin Segmentation. ICCV Workshops 2017: 640-649
Coauthor Index
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last updated on 2024-09-10 02:08 CEST by the dblp team
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