Himanshu Buckchash

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 19

Top Topics

Motion Recognition

Recurrent Networks

Top Venues

Multim. Tools Appl.

IEEE Signal Process. Lett.

Publications

Ronny Paul, Himanshu Buckchash, Shantipriya Parida, Dilip K. Prasad
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language. CoRR (2024)
Momojit Biswas, Himanshu Buckchash, Dilip K. Prasad
pNNCLR: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems. Neurocomputing 593 (2024)
Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad
Latent Graph Attention for Enhanced Spatial Context. CoRR (2023)
Momojit Biswas, Himanshu Buckchash, Dilip K. Prasad
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems. CoRR (2023)
Vipul Bansal, Himanshu Buckchash, Balasubramanian Raman
Computational Intelligence Enabled Student Performance Estimation in the Age of COVID-19. SN Comput. Sci. 3 (1) (2022)
Rahul Kumar, Ridhi Arora, Vipul Bansal, Vinodh J. Sahayasheela, Himanshu Buckchash, Javed Imran, Narayanan Narayanan, Ganesh Namasivayam Pandian, Balasubramanian Raman
Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient. Multim. Tools Appl. 81 (19) (2022)
Himanshu Buckchash, Balasubramanian Raman
GraSP: Local Grassmannian Spatio-Temporal Patterns for Unsupervised Pose Sequence Recognition. ACM Trans. Multim. Comput. Commun. Appl. 18 (3) (2022)
Vipul Bansal, Himanshu Buckchash, Balasubramanian Raman
Discriminative Auto-Encoding for Classification and Representation Learning Problems. IEEE Signal Process. Lett. 28 (2021)
Himanshu Buckchash, Balasubramanian Raman
Towards zero shot learning of geometry of motion streams and its application to anomaly recognition. Expert Syst. Appl. 177 (2021)
Himanshu Buckchash, Balasubramanian Raman
DuTriNet: Dual-Stream Triplet Siamese Network for Self-Supervised Action Recognition by Modeling Temporal Correlations. ICTAI (2020)
Himanshu Buckchash, Balasubramanian Raman
Variational Conditioning of Deep Recurrent Networks for Modeling Complex Motion Dynamics. IEEE Access 8 (2020)
Himanshu Buckchash, Balasubramanian Raman
Human Motion Generation by Stochastic Conditioning of Deep Recurrent Networks On Pose Manifolds. ICIP (2020)
Jogendra Nath Kundu, Himanshu Buckchash, Priyanka Mandikal, Rahul M. V., Anirudh Jamkhandi, Venkatesh Babu R.
Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions. WACV (2020)
Vipul Bansal, Himanshu Buckchash, Balasubramanian Raman
Computational Models for Academic Performance Estimation. CoRR (2020)
Himanshu Buckchash, Balasubramanian Raman
Sustained Self-Supervised Pretraining for Temporal Order Verification. PReMI (1) (2019)
Vishesh Kumar Tanwar, Himanshu Buckchash, Balasubramanian Raman, Rama Bhargava
Dense motion analysis of German finger spellings. Multim. Tools Appl. 78 (8) (2019)
Himanshu Buckchash, Balasubramanian Raman
A robust object detector: Application to detection of visual knives. ICME Workshops (2017)
Arun Singh Pundir, Himanshu Buckchash, Amitesh Singh Rajput, Vishesh Kumar Tanwar, Balasubramanian Raman
Fire Detection Using Dense Trajectories. CVIP (2) (2017)
Himanshu Buckchash, Gyanendra K. Verma
Texture vs. multiresolution analysis of facial expressions: application to emotion recognition. Int. J. Appl. Pattern Recognit. 2 (1) (2015)
Himanshu Buckchash, Balasubramanian Raman
Indexing Scheme for Iris Using Discrete Cosine and Discrete Wavelet Transform. SocProS (2) (2011)
Himanshu Buckchash, Sanjay Rawat, Balasubramanian Raman, Gaurav Bhatnagar
DCT and SVD Based New Watermarking Scheme. ICETET (2010)