research
∙
07/17/2023
Search Me Knot, Render Me Knot: Embedding Search and Differentiable Rendering of Knots in 3D
We introduce the problem of knot-based inverse perceptual art. Given mul...
share
research
∙
07/06/2023
Single Image LDR to HDR Conversion using Conditional Diffusion
Digital imaging aims to replicate realistic scenes, but Low Dynamic Rang...
research
∙
06/23/2023
A Graph Neural Network Approach for Temporal Mesh Blending and Correspondence
We have proposed a self-supervised deep learning framework for solving t...
research
∙
02/20/2023
EEG2IMAGE: Image Reconstruction from EEG Brain Signals
Reconstructing images using brain signals of imagined visuals may provid...
research
∙
11/20/2022
PointResNet: Residual Network for 3D Point Cloud Segmentation and Classification
Point cloud segmentation and classification are some of the primary task...
research
∙
11/01/2022
Revisiting Heterophily in Graph Convolution Networks by Learning Representations Across Topological and Feature Spaces
Graph convolution networks (GCNs) have been enormously successful in lea...
research
∙
10/10/2022
DeepHS-HDRVideo: Deep High Speed High Dynamic Range Video Reconstruction
Due to hardware constraints, standard off-the-shelf digital cameras suff...
research
∙
07/05/2022
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images
Photometric stereo, a problem of recovering 3D surface normals using ima...
research
∙
11/30/2021
FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks
In this paper, we present a Fast Motion Deblurring-Conditional Generativ...
research
∙
10/22/2021
HDRVideo-GAN: Deep Generative HDR Video Reconstruction
High dynamic range (HDR) videos provide a more visually realistic experi...
research
∙
10/07/2021
TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network
Point cloud is an efficient way of representing and storing 3D geometric...
research
∙
10/04/2021
HDR-cGAN: Single LDR to HDR Image Translation using Conditional GAN
The prime goal of digital imaging techniques is to reproduce the realist...
research
∙
07/30/2021
Shadow Art Revisited: A Differentiable Rendering Based Approach
While recent learning based methods have been observed to be superior fo...
research
∙
07/27/2021
RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly
Autonomous assembly of objects is an essential task in robotics and 3D c...
research
∙
06/17/2021
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
Deep neural networks have enormous representational power which leads th...
research
∙
01/27/2021
HDIB1M – Handwritten Document Image Binarization 1 Million Dataset
Handwritten document image binarization is a challenging task due to hig...
research
∙
01/15/2021
APEX-Net: Automatic Plot Extractor Network
Automatic extraction of raw data from 2D line plot images is a problem o...
research
∙
12/11/2020
DeepObjStyle: Deep Object-based Photo Style Transfer
One of the major challenges of style transfer is the appropriate image f...
research
∙
12/11/2020
DILIE: Deep Internal Learning for Image Enhancement
We consider the generic deep image enhancement problem where an input im...
research
∙
11/07/2020
DeepCFL: Deep Contextual Features Learning from a Single Image
Recently, there is a vast interest in developing image feature learning ...
research
∙
11/07/2020
Blind Motion Deblurring through SinGAN Architecture
Blind motion deblurring involves reconstructing a sharp image from an ob...
research
∙
10/22/2020
Learning to Sort Image Sequences via Accumulated Temporal Differences
Consider a set of n images of a scene with dynamic objects captured with...
research
∙
07/22/2020
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition
Conventional 3D convolutional neural networks (CNNs) are computationally...
research
∙
04/22/2020
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
Human pose estimation is a well-known problem in computer vision to loca...
research
∙
02/08/2020
Deep No-reference Tone Mapped Image Quality Assessment
The process of rendering high dynamic range (HDR) images to be viewed on...
research
∙
01/27/2020
Depthwise-STFT based separable Convolutional Neural Networks
In this paper, we propose a new convolutional layer called Depthwise-STF...
research
∙
12/24/2019
FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback Network
High dynamic range (HDR) image generation from a single exposure low dyn...
research
∙
12/11/2019
Simultaneous Detection and Removal of Dynamic Objects in Multi-view Images
Consider a set of images of a scene consisting of moving objects capture...
research
∙
12/09/2019
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting
Recently, there is a vast interest in developing methods which are indep...
research
∙
11/18/2019
DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification
Person re-identification aims to associate images of the same person ove...
research
∙
09/07/2019
Exploring Temporal Differences in 3D Convolutional Neural Networks
Traditional 3D convolutions are computationally expensive, memory intens...
research
∙
05/01/2019
Multi-level Encoder-Decoder Architectures for Image Restoration
Many real-world solutions for image restoration are learning-free and ba...
research
∙
04/30/2019
Attentive Spatio-Temporal Representation Learning for Diving Classification
Competitive diving is a well recognized aquatic sport in which a person ...
research
∙
04/16/2019
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
Recognizing facial expressions is one of the central problems in compute...
research
∙
04/06/2019
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks
Traditional 3D Convolutional Neural Networks (CNNs) are computationally ...
research
∙
07/26/2018
Fast and Accurate Intrinsic Symmetry Detection
In computer vision and graphics, various types of symmetries are extensi...
research
∙
05/23/2018
SymmSLIC: Symmetry Aware Superpixel Segmentation and its Applications
Over-segmentation of an image into superpixels has become a useful tool ...
research
∙
09/11/2017
Deep Generative Filter for Motion Deblurring
Removing blur caused by camera shake in images has always been a challen...
research
∙
08/26/2017
Facial Expression Recognition using Visual Saliency and Deep Learning
We have developed a convolutional neural network for the purpose of reco...
research
∙
07/02/2017
Automatic Trimap Generation for Image Matting
Image matting is a longstanding problem in computational photography. Al...
research
∙
06/29/2017
Iterative Spectral Clustering for Unsupervised Object Localization
This paper addresses the problem of unsupervised object localization in ...
research
∙
06/29/2017
Flow-free Video Object Segmentation
Segmenting foreground object from a video is a challenging task because ...
research
∙
06/27/2017
Approximate Reflection Symmetry in a Point Set: Theory and Algorithm with an Application
We propose an algorithm to detect approximate reflection symmetry presen...
research
∙
02/07/2017
Hashing in the Zero Shot Framework with Domain Adaptation
Techniques to learn hash codes which can store and retrieve large dimens...
research
∙
10/09/2016
Zero Shot Hashing
This paper provides a framework to hash images containing instances of u...
research
∙
04/16/2016
Automatic Segmentation of Dynamic Objects from an Image Pair
Automatic segmentation of objects from a single image is a challenging p...
research
∙
04/07/2016
Automatic Content-aware Non-Photorealistic Rendering of Images
Non-photorealistic rendering techniques work on image features and often...
research
∙
02/17/2015
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks
The task of classifying videos of natural dynamic scenes into appropriat...
research
∙
05/20/2013