7 citations · 7 across the 3 of their papers we have counts for
4 papers · 1 filter
Few-Shot Adaptation of Grounding DINO for Agricultural Domain
Rajhans Singh, Rafael Bidese Puhl, Kshitiz Dhakal +1
Deep learning models are transforming agricultural applications by enabling automated phenotyping, monitoring, and yield estimation. However, their effectiveness heavily depends on…
Polynomial Implicit Neural Representations For Large Diverse Datasets
Rajhans Singh, Ankita Shukla, Pavan Turaga
Implicit neural representations (INR) have gained significant popularity for signal and image representation for many end-tasks, such as superresolution, 3D modeling, and more. Mos…
Non-Parametric Priors For Generative Adversarial Networks
Rajhans Singh, Pavan Turaga, Suren Jayasuriya +2
The advent of generative adversarial networks (GAN) has enabled new capabilities in synthesis, interpolation, and data augmentation heretofore considered very challenging. However,…
Rate-Adaptive Neural Networks for Spatial Multiplexers
Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni +1
In resource-constrained environments, one can employ spatial multiplexing cameras to acquire a small number of measurements of a scene, and perform effective reconstruction or high…