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 | 213* | 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 | 61 | 2017 |
A robust object detector: application to detection of visual knives H Buckchash, B Raman 2017 IEEE international conference on multimedia & expo workshops (ICMEW …, 2017 | 34 | 2017 |
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 | 28 | 2021 |
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 | 27 | 2020 |
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 | 8 | 2022 |
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 | 8 | 2021 |
Sustained self-supervised pretraining for temporal order verification H Buckchash, B Raman Pattern Recognition and Machine Intelligence: 8th International Conference …, 2019 | 8 | 2019 |
Variational conditioning of deep recurrent networks for modeling complex motion dynamics H Buckchash, B Raman IEEE Access 8, 67822-67834, 2020 | 7 | 2020 |
Latent Graph Attention for Enhanced Spatial Context A Singh, Y Bhambhu, H Buckchash, DK Gupta, DK Prasad arXiv preprint arXiv:2307.04149, 2023 | 6 | 2023 |
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems M Biswas, H Buckchash, DK Prasad Neurocomputing, 2023 | 5 | 2023 |
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 | 5 | 2020 |
Discriminative Auto-Encoding for Classification and Representation Learning Problems V Bansal*, H Buckchash*, B Raman IEEE Signal Processing Letters 28, 987-991, 2021 | 4 | 2021 |
Dense motion analysis of German finger spellings VK Tanwar, H Buckchash, B Raman, R Bhargava Multimedia Tools and Applications 78, 9511-9536, 2019 | 3 | 2019 |
GraSP: Local Grassmannian Spatio-Temporal Patterns for Unsupervised Pose Sequence Recognition H Buckchash, B Raman ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 2 | 2022 |
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 | 2 | 2018 |
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 | 2 | 2015 |
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 | 1 | 2020 |
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the S\'ami Language R Paul, H Buckchash, S Parida, DK Prasad arXiv preprint arXiv:2405.05777, 2024 | | 2024 |