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Found 21 papers, 8 papers with code
Can No-reference features help in Full-reference image quality estimation?
Recent works in Full-reference IQA research perform pixelwise comparison between deep features corresponding to query and reference images for quality prediction.
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding
Convolutional Neural Network models have successfully detected retinal illness from optical coherence tomography (OCT) and fundus images.
AdvCodeMix: Adversarial Attack on Code-Mixed Data
Research on adversarial attacks are becoming widely popular in the recent years.
Context-aware Retail Product Recommendation with Regularized Gradient Boosting
A total of 167 participants participated in the challenge, and we secured the 6th rank during the final evaluation with an MRR of 0. 4658 on the test set.
MSR-Net: Multi-Scale Relighting Network for One-to-One Relighting
Deep image relighting allows photo enhancement by illumination-specific retouching without human effort and so it is getting much interest lately.
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
To address this problem, we introduce the first Mobile AI challenge, where the target is to develop quantized deep learning-based camera scene classification solutions that can demonstrate a real-time performance on smartphones and IoT platforms.
Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image
Most of the existing methods utilized additional sensor's data or pretrained network for fine depth estimation of the scene and sometimes use portrait segmentation pretrained network module to segment salient objects in the image.
A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles
We have evaluated our results on the COVID-19 Fake News dataset and FakeNewsNet dataset to show the effectiveness of the proposed algorithm on detecting fake news in short news content as well as in news articles.
DSRN: an Efficient Deep Network for Image Relighting
Custom and natural lighting conditions can be emulated in images of the scene during post-editing.
Ranked #4 on
Image Relighting
on VIDIT’20 validation set
A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection
The significance of social media has increased manifold in the past few decades as it helps people from even the most remote corners of the world stay connected.
Ranked #1 on
Fake News Detection
on COVID-19 Fake News Dataset
AIM 2020 Challenge on Rendering Realistic Bokeh
This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results.
AIM 2020: Scene Relighting and Illumination Estimation Challenge
The first track considered one-to-one relighting; the objective was to relight an input photo of a scene with a different color temperature and illuminant orientation (i. e., light source position).
Semantic Segmentation of Surface from Lidar Point Cloud
The methodology presented proposes a fast algorithm that can be used to extract semantically labelled surface segments from the cloud, in real time, for direct navigational use or higher level contextual scene reconstruction.
Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning
In this article, we describe the system that we used for the memotion analysis challenge, which is Task 8 of SemEval-2020.
Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing
Recently, CNN based end-to-end deep learning methods achieve superiority in Image Dehazing but they tend to fail drastically in Non-homogeneous dehazing.
Ranked #3 on
Nonhomogeneous Image Dehazing
on NH-HAZE validation
NTIRE 2020 Challenge on NonHomogeneous Dehazing
We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor.
Fast Geometric Surface based Segmentation of Point Cloud from Lidar Data
LIDAR provides a fast and accurate 3D point cloud map of the environment which helps in map building.
AIM 2019 Challenge on Image Demoireing: Methods and Results
A new dataset, called LCDMoire was created for this challenge, and consists of 10, 200 synthetically generated image pairs (moire and clean ground truth).
Writer Independent Offline Signature Recognition Using Ensemble Learning
This verification task is even harder in writer independent scenarios which is undeniably fiscal for realistic cases.
Bird Species Classification using Transfer Learning with Multistage Training
Bird species classification has received more and more attention in the field of computer vision, for its promising applications in biology and environmental studies.
Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models
Language identification of social media text still remains a challenging task due to properties like code-mixing and inconsistent phonetic transliterations.
