1 citations · 2 across the 12 of their papers we have counts for
12 papers
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation
Rohit Choudhary, Mansi Sharma, Rithvik Anil
Stereo correspondence matching is an essential part of the multi-step stereo depth estimation process. This paper revisits the depth estimation problem, avoiding the explicit stere…
A Novel Approach for Neuromorphic Vision Data Compression based on Deep Belief Network
Sally Khaidem, Mansi Sharma, Abhipraay Nevatia
A neuromorphic camera is an image sensor that emulates the human eyes capturing only changes in local brightness levels. They are widely known as event cameras, silicon retinas or…
A Novel Light Field Coding Scheme Based on Deep Belief Network & Weighted Binary Images for Additive Layered Displays
Sally Khaidem, Mansi Sharma
Light-field displays create an immersive experience by providing binocular depth sensation and motion parallax. Stacking light attenuating layers is one approach to implement a lig…
A High Resolution Multi-exposure Stereoscopic Image & Video Database of Natural Scenes
Rohit Choudhary, Mansi Sharma, Aditya Wadaskar
Immersive displays such as VR headsets, AR glasses, Multiview displays, Free point televisions have emerged as a new class of display technologies in recent years, offering a bette…
MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applications
Rohit Choudhary, Mansi Sharma, Uma T +1
Display technologies have evolved over the years. It is critical to develop practical HDR capturing, processing, and display solutions to bring 3D technologies to the next level. D…
Tactile-ViewGCN: Learning Shape Descriptor from Tactile Data using Graph Convolutional Network
Sachidanand V S, Mansi Sharma
For humans, our "senses of touch" have always been necessary for our ability to precisely and efficiently manipulate objects of all shapes in any environment, but until recently, n…
A Novel Hierarchical Light Field Coding Scheme Based on Hybrid Stacked Multiplicative Layers and Fourier Disparity Layers for Glasses-Free 3D Displays
Joshitha Ravishankar, Mansi Sharma
This paper presents a novel hierarchical coding scheme for light fields based on transmittance patterns of low-rank multiplicative layers and Fourier disparity layers. The proposed…
A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation
Mansi Sharma, Abheesht Sharma, Kadvekar Rohit Tushar +1
The task of predicting smooth and edge-consistent depth maps is notoriously difficult for single image depth estimation. This paper proposes a novel Bilateral Grid based 3D convolu…
A Hierarchical Coding Scheme for Glasses-free 3D Displays Based on Scalable Hybrid Layered Representation of Real-World Light Fields
Joshitha R, Mansi Sharma
This paper presents a novel hierarchical coding scheme for light fields based on transmittance patterns of low-rank multiplicative layers and Fourier disparity layers. The proposed…
A New Comprehensive Framework for Multi-Exposure Stereo Coding Utilizing Low Rank Tucker-ALS and 3D-HEVC Techniques
Mansi Sharma, Jyotsana Grover
Display technology must offer high dynamic range (HDR) contrast-based depth induction and 3D personalization simultaneously. Efficient algorithms to compress HDR stereo data is cri…
A Versatile Depth Video Encoding Scheme Based on Low-rank Tensor Modeling for Free Viewpoint Video
Mansi Sharma, Jyotsana Grover
The compression quality losses of depth sequences determine quality of view synthesis in free-viewpoint video. The depth map intra prediction in 3D extensions of the HEVC applies i…
Latent Factor Modeling of Users Subjective Perception for Stereoscopic 3D Video Recommendation
Balasubramanyam Appina, Mansi Sharma, Santosh Kumar
Numerous stereoscopic 3D movies are released every year to theaters and created large revenues. Despite the improvement in stereo capturing and 3D video post-production technology,…