94 citations · 343 across the 25 of their papers we have counts for
27 papers
Light-Field Dataset for Disparity Based Depth Estimation
Suresh Nehra, Aupendu Kar, Jayanta Mukhopadhyay +1
A Light Field (LF) camera consists of an additional two-dimensional array of micro-lenses placed between the main lens and sensor, compared to a conventional camera. The sensor pix…
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
Aupendu Kar, Krishnendu Ghosh, Prabir Kumar Biswas
Continual learning is an emerging topic in the field of deep learning, where a model is expected to learn continuously for new upcoming tasks without forgetting previous experience…
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
Ashish Verma, Aupendu Kar, Krishnendu Ghosh +3
Expert radiologists visually scan Chest X-Ray (CXR) images, sequentially fixating on anatomical structures to perform disease diagnosis. An automatic multi-label classifier of dise…
Self-supervision via Controlled Transformation and Unpaired Self-conditioning for Low-light Image Enhancement
Aupendu Kar, Sobhan K. Dhara, Debashis Sen +1
Real-world low-light images captured by imaging devices suffer from poor visibility and require a domain-specific enhancement to produce artifact-free outputs that reveal details.…
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization
Vaibhav Khamankar, Sutanu Bera, Saumik Bhattacharya +2
Histopathological images are essential for medical diagnosis and treatment planning, but interpreting them accurately using machine learning can be challenging due to variations in…
Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence
Sutanu Bera, Prabir Kumar Biswas
The resurgence of deep neural networks has created an alternative pathway for low-dose computed tomography denoising by learning a nonlinear transformation function between low-dos…