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Himanshu Buckchash
Himanshu Buckchash
UiT Tromsø, Norway
Verified email at cs.iitr.ac.in - Homepage
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Cited by
Cited by
Year
Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient
R Kumar, R Arora, V Bansal, VJ Sahayasheela, H Buckchash, J Imran, ...
Multimedia Tools and Applications 81 (19), 27631-27655, 2022
203*2022
Anomaly based intrusion detection using filter based feature selection on KDD-CUP 99
P Kushwaha, H Buckchash, B Raman
TENCON 2017-2017 IEEE Region 10 Conference, 839-844, 2017
562017
A robust object detector: application to detection of visual knives
H Buckchash, B Raman
2017 IEEE international conference on multimedia & expo workshops (ICMEW …, 2017
322017
AI-based diagnosis of COVID-19 patients using X-ray scans with stochastic ensemble of CNNs
R Arora, V Bansal, H Buckchash, R Kumar, VJ Sahayasheela, ...
Physical and Engineering Sciences in Medicine 44 (4), 1257-1271, 2021
292021
Cross-conditioned recurrent networks for long-term synthesis of inter-person human motion interactions
JN Kundu*, H Buckchash*, P Mandikal, A Jamkhandi, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
232020
Sustained self-supervised pretraining for temporal order verification
H Buckchash, B Raman
Pattern Recognition and Machine Intelligence: 8th International Conference …, 2019
82019
Towards zero shot learning of geometry of motion streams and its application to anomaly recognition
H Buckchash, B Raman
Expert Systems With Applications 177, 114916, 2021
72021
Variational conditioning of deep recurrent networks for modeling complex motion dynamics
H Buckchash, B Raman
IEEE Access 8, 67822-67834, 2020
72020
Computational intelligence enabled student performance estimation in the age of covid-19
V Bansal, H Buckchash, B Raman
SN computer science 3 (1), 41, 2022
62022
Latent Graph Attention for Enhanced Spatial Context
A Singh, Y Bhambhu, H Buckchash, DK Gupta, DK Prasad
arXiv preprint arXiv:2307.04149, 2023
42023
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
M Biswas, H Buckchash, DK Prasad
arXiv preprint arXiv:2308.06983, 2023
32023
Discriminative Auto-Encoding for Classification and Representation Learning Problems
V Bansal*, H Buckchash*, B Raman
IEEE Signal Processing Letters 28, 987-991, 2021
32021
Dutrinet: Dual-stream triplet siamese network for self-supervised action recognition by modeling temporal correlations
H Buckchash, B Raman
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
32020
Dense motion analysis of German finger spellings
VK Tanwar, H Buckchash, B Raman, R Bhargava
Multimedia Tools and Applications 78, 9511-9536, 2019
32019
Fire detection using dense trajectories
AS Pundir, H Buckchash, AS Rajput, VK Tanwar, B Raman
Proceedings of 2nd International Conference on Computer Vision & Image …, 2018
22018
Texture vs. multiresolution analysis of facial expressions: application to emotion recognition
H Buckchash, GK Verma
International Journal of Applied Pattern Recognition 2 (1), 46-75, 2015
22015
GraSP: Local Grassmannian Spatio-Temporal Patterns for Unsupervised Pose Sequence Recognition
H Buckchash, B Raman
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022
12022
Human motion generation by stochastic conditioning of deep recurrent networks on pose manifolds
H Buckchash, B Raman
2020 IEEE International Conference on Image Processing (ICIP), 2406-2410, 2020
12020
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