Intrinsic Fault Tolerance of Hopfield Artificial Neural Network Model for Task Scheduling Technique in SoC. - Rajhans Singh; Daniel Chillet (IJCCI (NCTA), 2014)

Rate-Adaptive Neural Networks for Spatial Multiplexers. - Suhas Lohit; Rajhans Singh; Kuldeep Kulkarni; Pavan K. Turaga (CoRR, 2018)

Rank-Regularized Measurement Operators for Compressive Imaging. - Suhas Lohit; Rajhans Singh; Kuldeep Kulkarni; Pavan K. Turaga (ACSSC, 2019)

Non-Parametric Priors For Generative Adversarial Networks. - Rajhans Singh; Pavan K. Turaga; Suren Jayasuriya; Ravi Garg; Martin W. Braun (ICML, 2019)

Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. - Kuldeep Kulkarni; Tejas Gokhale; Rajhans Singh; Pavan K. Turaga; Aswin C. Sankaranarayanan (CoRR, 2020)

Deep Geometric Moment. - Rajhans Singh; Ankita Shukla; Pavan K. Turaga (CoRR, 2022)

Scene Graph Driven Text-Prompt Generation for Image Inpainting. - Tripti Shukla; Paridhi Maheshwari; Rajhans Singh; Ankita Shukla; Kuldeep Kulkarni; Pavan K. Turaga (CVPR Workshops, 2023)

Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments. - Rajhans Singh; Ankita Shukla; Pavan K. Turaga (CVPR Workshops, 2023)

Polynomial Implicit Neural Representations For Large Diverse Datasets. - Rajhans Singh; Ankita Shukla; Pavan K. Turaga (CVPR, 2023)

Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks. - Sudhir Sornapudi; Rajhans Singh (CoRR, 2024)

Orthogonality and graph divergence losses promote disentanglement in generative models. - Ankita Shukla; Rishi Dadhich; Rajhans Singh; Anirudh Rayas; Pouria Saidi; Gautam Dasarathy; Visar Berisha; Pavan K. Turaga (Frontiers Comput. Sci., 2024)

Few-Shot Adaptation of Grounding DINO for Agricultural Domain. - Rajhans Singh; Rafael Bidese-Puhl; Kshitiz Dhakal; Sudhir Sornapudi (CVPR Workshops, 2025)

Polynomial Implicit Neural Framework for Promoting Shape Awareness in Generative Models. - Utkarsh Nath; Rajhans Singh; Ankita Shukla; Kuldeep Kulkarni; Pavan K. Turaga (Int. J. Comput. Vis., 2025)