41 citations · 61 across the 5 of their papers we have counts for
5 papers · 1 filter
CapsFlow: Optical Flow Estimation with Capsule Networks
Rahul Chand, Rajat Arora, K Ram Prabhakar +1
We present a framework to use recently introduced Capsule Networks for solving the problem of Optical Flow, one of the fundamental computer vision tasks. Most of the existing state…
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement
K. Ram Prabhakar, Vishal Vinod, Nihar Ranjan Sahoo +1
Enhancing practical low light raw images is a difficult task due to severe noise and color distortions from short exposure time and limited illumination. Despite the success of exi…
Segmentation Guided Deep HDR Deghosting
K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
We present a motion segmentation guided convolutional neural network (CNN) approach for high dynamic range (HDR) image deghosting. First, we segment the moving regions in the input…
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting
K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
We propose a novel recurrent network-based HDR deghosting method for fusing arbitrary length dynamic sequences. The proposed method uses convolutional and recurrent architectures t…
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs
K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu
We present a novel deep learning architecture for fusing static multi-exposure images. Current multi-exposure fusion (MEF) approaches use hand-crafted features to fuse input sequen…