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Found 18 papers, 3 papers with code
Post-training Model Quantization Using GANs for Synthetic Data Generation
In this study, we investigate the use of synthetic data as a substitute for the calibration with real data for the quantization method.
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 capturing only changes in local brightness levels.
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation
Additionally, the input for twin encoders in 2T-UNet are different compared to the existing stereo methods.
A Novel Light Field Coding Scheme Based on Deep Belief Network & Weighted Binary Images for Additive Layered Displays
The weighted binary representation of layers makes the framework more flexible for adaptive bitrate encoding.
A High Resolution Multi-exposure Stereoscopic Image & Video Database of Natural Scenes
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 better visual experience and viewer engagement as compared to conventional displays.
An Integrated Representation & Compression Scheme Based on Convolutional Autoencoders with 4D DCT Perceptual Encoding for High Dynamic Range Light Fields
When a light field is of high dynamic range, the size increases drastically.
MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applications
Secondly, we combine disparity maps obtained from the stereo images at different exposure levels using a robust disparity feature fusion approach.
A Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment
Four novel feature extractors are proposed and studied that allow the transformer network to operate on skeletal data.
Tactile-ViewGCN: Learning Shape Descriptor from Tactile Data using Graph Convolutional Network
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, not many works have been done to fully understand haptic feedback.
Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture
We propose Tele-EvalNet, a novel system consisting of two components: a live feedback model and an overall performance evaluation model.
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 based on transmittance patterns of low-rank multiplicative layers and Fourier disparity layers.
A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation
Further, another novel 3DBGES-UNet model is introduced that integrate 3DBG-UNet for inferring an accurate depth map given a single color view.
OpenFL: An open-source framework for Federated Learning
Federated learning (FL) is a computational paradigm that enables organizations to collaborate on machine learning (ML) projects without sharing sensitive data, such as, patient records, financial data, or classified secrets.
A Hierarchical Coding Scheme for Glasses-free 3D Displays Based on Scalable Hybrid Layered Representation of Real-World Light Fields
Further, encoding with HEVC efficiently removes intra-view and inter-view correlation in low-rank approximated layers.
A Novel Unified Model for Multi-exposure Stereo Coding Based on Low Rank Tucker-ALS and 3D-HEVC
In this paper, an efficient scheme for coding multi-exposure stereo images is proposed based on a tensor low-rank approximation scheme.
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 modelling the inverse function of an Artificial Neural Network (ANN) either completely or partially.
Latent Factor Modeling of Users Subjective Perception for Stereoscopic 3D Video Recommendation
In this paper, we introduce a novel recommendation system for stereoscopic 3D movies based on a latent factor model that meticulously analyse the viewer's subjective ratings and influence of 3D video distortions on their preferences.
Multi-user Augmented Reality Application for Video Communication in Virtual Space
AR can be helpful in giving the users an experience of physical presence in each other's environment.
