25 citations · 63 across the 20 of their papers we have counts for
20 papers
EpiMask: Leveraging Epipolar Distance Based Masks in Cross-Attention for Satellite Image Matching
Rahul Deshmukh, Aditya Chauhan, Avinash Kak
The deep-learning based image matching networks can now handle significantly larger variations in viewpoints and illuminations while providing matched pairs of pixels with sub-pixe…
SatDepth: A Novel Dataset for Satellite Image Matching
Rahul Deshmukh, Avinash Kak
Recent advances in deep-learning based methods for image matching have demonstrated their superiority over traditional algorithms, enabling correspondence estimation in challenging…
A Dataset and Framework for Learning State-invariant Object Representations
Rohan Sarkar, Avinash Kak
We add one more invariance - the state invariance - to the more commonly used other invariances for learning object representations for recognition and retrieval. By state invarian…
Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval
Rohan Sarkar, Avinash Kak
In the context of pose-invariant object recognition and retrieval, we demonstrate that it is possible to achieve significant improvements in performance if both the category-based…
Incorporating Season and Solar Specificity into Renderings made by a NeRF Architecture using Satellite Images
Michael Gableman, Avinash Kak
As a result of Shadow NeRF and Sat-NeRF, it is possible to take the solar angle into account in a NeRF-based framework for rendering a scene from a novel viewpoint using satellite…
A Laplacian Pyramid Based Generative H&E Stain Augmentation Network
Fangda Li, Zhiqiang Hu, Wen Chen +1
Hematoxylin and Eosin (H&E) staining is a widely used sample preparation procedure for enhancing the saturation of tissue sections and the contrast between nuclei and cytoplasm in…