research
∙
05/10/2023
Post-training Model Quantization Using GANs for Synthetic Data Generation
Quantization is a widely adopted technique for deep neural networks to r...
share
research
∙
10/27/2022
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation
Stereo correspondence matching is an essential part of the multi-step st...
research
∙
10/27/2022
A Novel Approach for Neuromorphic Vision Data Compression based on Deep Belief Network
A neuromorphic camera is an image sensor that emulates the human eyes ca...
research
∙
10/04/2022
A Novel Light Field Coding Scheme Based on Deep Belief Network and Weighted Binary Images for Additive Layered Displays
Light field display caters to the viewer's immersive experience by provi...
research
∙
06/22/2022
A High Resolution Multi-exposure Stereoscopic Image Video Database of Natural Scenes
Immersive displays such as VR headsets, AR glasses, Multiview displays, ...
research
∙
06/21/2022
MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applications
Display technologies have evolved over the years. It is critical to deve...
research
∙
06/21/2022
An Integrated Representation Compression Scheme Based on Convolutional Autoencoders with 4D DCT Perceptual Encoding for High Dynamic Range Light Fields
The emerging and existing light field displays are highly capable of rea...
research
∙
04/16/2022
A Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment
Physical rehabilitation programs frequently begin with a brief stay in t...
research
∙
03/12/2022
Tactile-ViewGCN: Learning Shape Descriptor from Tactile Data using Graph Convolutional Network
For humans, our "senses of touch" have always been necessary for our abi...
research
∙
12/06/2021
Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture
Technology has an important role to play in the field of Rehabilitation,...
research
∙
08/27/2021
A Novel Hierarchical Light Field Coding Scheme Based on Hybrid Stacked Multiplicative Layers and Fourier Disparity Layers for Glasses-Free 3D Displays
This paper presents a novel hierarchical coding scheme for light fields ...
research
∙
05/21/2021
A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation
The task of predicting smooth and edge-consistent depth maps is notoriou...
research
∙
05/13/2021
OpenFL: An open-source framework for Federated Learning
Federated learning (FL) is a computational paradigm that enables organiz...
research
∙
04/19/2021
A Hierarchical Coding Scheme for Glasses-free 3D Displays Based on Scalable Hybrid Layered Representation of Real-World Light Fields
This paper presents a novel hierarchical coding scheme for light fields ...
research
∙
04/10/2021
A Novel Unified Model for Multi-exposure Stereo Coding Based on Low Rank Tucker-ALS and 3D-HEVC
Display technology must offer high dynamic range (HDR) contrast-based de...
research
∙
04/10/2021
A Flexible Lossy Depth Video Coding Scheme Based on Low-rank Tensor Modelling and HEVC Intra Prediction for Free Viewpoint Video
The compression quality losses of depth sequences determine quality of v...
research
∙
04/08/2021
OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks
This paper presents a novel Generative Neural Network Architecture for m...
research
∙
01/25/2021
Latent Factor Modeling of Users Subjective Perception for Stereoscopic 3D Video Recommendation
Numerous stereoscopic 3D movies are released every year to theaters and ...
research
∙
09/20/2019
