8 citations · 20 across the 10 of their papers we have counts for
10 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…
Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Survey
Aupendu Kar, Vishnu Raj, Guan-Ming Su
Event camera sensors are bio-inspired sensors which asynchronously capture per-pixel brightness changes and output a stream of events encoding the polarity, location and time of th…
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.…
Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging
Aupendu Kar, Suresh Nehra, Jayanta Mukhopadhyay +1
With the availability of commercial Light Field (LF) cameras, LF imaging has emerged as an up and coming technology in computational photography. However, the spatial resolution is…
Progressive Update Guided Interdependent Networks for Single Image Dehazing
Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen +1
Images with haze of different varieties often pose a significant challenge to dehazing. Therefore, guidance by estimates of haze parameters related to the variety would be benefici…
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network
Aupendu Kar, Prabir Kumar Biswas
Convolutional neural network (CNN) has achieved unprecedented success in image super-resolution tasks in recent years. However, the network's performance depends on the distributio…
UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks
Debarghya China, Francis Tom, Sumanth Nandamuri +4
Ultrasound image compression by preserving speckle-based key information is a challenging task. In this paper, we introduce an ultrasound image compression framework with the abili…
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms
Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh +2
Early works on medical image compression date to the 1980's with the impetus on deployment of teleradiology systems for high-resolution digital X-ray detectors. Commercially deploy…