Himanshu Buckchash
Orcid: 0000-0003-3679-3498
According to our database1,
Himanshu Buckchash
authored at least 21 papers
between 2010 and 2024.
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Bibliography
2024
pNNCLR: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems.
Neurocomputing, 2024
Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs.
CoRR, 2024
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language.
CoRR, 2024
2023
2022
GraSP: Local Grassmannian Spatio-Temporal Patterns for Unsupervised Pose Sequence Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2022
Computational Intelligence Enabled Student Performance Estimation in the Age of COVID-19.
SN Comput. Sci., 2022
Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient.
Multim. Tools Appl., 2022
2021
Discriminative Auto-Encoding for Classification and Representation Learning Problems.
IEEE Signal Process. Lett., 2021
Towards zero shot learning of geometry of motion streams and its application to anomaly recognition.
Expert Syst. Appl., 2021
2020
Variational Conditioning of Deep Recurrent Networks for Modeling Complex Motion Dynamics.
IEEE Access, 2020
Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
DuTriNet: Dual-Stream Triplet Siamese Network for Self-Supervised Action Recognition by Modeling Temporal Correlations.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
Human Motion Generation by Stochastic Conditioning of Deep Recurrent Networks On Pose Manifolds.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Proceedings of the Pattern Recognition and Machine Intelligence, 2019
2017
Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017
2015
Texture vs. multiresolution analysis of facial expressions: application to emotion recognition.
Int. J. Appl. Pattern Recognit., 2015
2011
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011
2010
Proceedings of the 3rd International Conference on Emerging Trends in Engineering and Technology, 2010