DCT and SVD Based New Watermarking Scheme. - Himanshu Buckchash; Sanjay Rawat 002; Balasubramanian Raman; Gaurav Bhatnagar (ICETET, 2010)

Indexing Scheme for Iris Using Discrete Cosine and Discrete Wavelet Transform. - Himanshu Buckchash; Balasubramanian Raman (SocProS (2), 2011)

Texture vs. multiresolution analysis of facial expressions: application to emotion recognition. - Himanshu Buckchash; Gyanendra Kumar Verma 001 (Int. J. Appl. Pattern Recognit., 2015)

Fire Detection Using Dense Trajectories. - Arun Singh Pundir; Himanshu Buckchash; Amitesh Singh Rajput; Vishesh Kumar Tanwar; Balasubramanian Raman (CVIP (2), 2017)

A robust object detector: Application to detection of visual knives. - Himanshu Buckchash; Balasubramanian Raman (ICME Workshops, 2017)

Sustained Self-Supervised Pretraining for Temporal Order Verification. - Himanshu Buckchash; Balasubramanian Raman (PReMI (1), 2019)

Dense motion analysis of German finger spellings. - Vishesh Kumar Tanwar; Himanshu Buckchash; Balasubramanian Raman; Rama Bhargava (Multim. Tools Appl., 2019)

Human Motion Generation by Stochastic Conditioning of Deep Recurrent Networks On Pose Manifolds. - Himanshu Buckchash; Balasubramanian Raman (ICIP, 2020)

DuTriNet: Dual-Stream Triplet Siamese Network for Self-Supervised Action Recognition by Modeling Temporal Correlations. - Himanshu Buckchash; Balasubramanian Raman (ICTAI, 2020)

Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions. - Jogendra Nath Kundu; Himanshu Buckchash; Priyanka Mandikal; Rahul M. V.; Anirudh Jamkhandi; Venkatesh Babu R. (WACV, 2020)

Variational Conditioning of Deep Recurrent Networks for Modeling Complex Motion Dynamics. - Himanshu Buckchash; Balasubramanian Raman (IEEE Access, 2020)

Computational Models for Academic Performance Estimation. - Vipul Bansal; Himanshu Buckchash; Balasubramanian Raman (CoRR, 2020)

Towards zero shot learning of geometry of motion streams and its application to anomaly recognition. - Himanshu Buckchash; Balasubramanian Raman (Expert Syst. Appl., 2021)

Discriminative Auto-Encoding for Classification and Representation Learning Problems. - Vipul Bansal; Himanshu Buckchash; Balasubramanian Raman (IEEE Signal Process. Lett., 2021)

Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient. - Rahul Kumar 003; Ridhi Arora; Vipul Bansal; Vinodh J. Sahayasheela; Himanshu Buckchash; Javed Imran; Narayanan Narayanan; Ganesh Namasivayam Pandian; Balasubramanian Raman (Multim. Tools Appl., 2022)

Computational Intelligence Enabled Student Performance Estimation in the Age of COVID-19. - Vipul Bansal; Himanshu Buckchash; Balasubramanian Raman (SN Comput. Sci., 2022)

GraSP: Local Grassmannian Spatio-Temporal Patterns for Unsupervised Pose Sequence Recognition. - Himanshu Buckchash; Balasubramanian Raman (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Latent Graph Attention for Enhanced Spatial Context. - Ayush Singh; Yash Bhambhu; Himanshu Buckchash; Deepak K. Gupta; Dilip K. Prasad (CoRR, 2023)

Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language. - Ronny Paul; Himanshu Buckchash; Shantipriya Parida; Dilip K. Prasad (CoRR, 2024)

pNNCLR: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems. - Momojit Biswas; Himanshu Buckchash; Dilip K. Prasad (Neurocomputing, 2024)

Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs. - Himanshu Buckchash; Momojit Biswas; Rohit Agarwal; Dilip K. Prasad (ICASSP, 2025)

Applications and Challenges of AI and Microscopy in Life Science Research: A Review. - Himanshu Buckchash; Gyanendra Kumar Verma 001; Dilip K. Prasad (CoRR, 2025)