b'Chetan Arora'

research

∙ 04/03/2023

FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation

We focus on the problem of LiDAR point cloud based loop detection (or Fi...

0 Sudarshan S Harithas, et al. ∙

research

∙ 03/18/2023

Stop Words for Processing Software Engineering Documents: Do they Matter?

Stop words, which are considered non-predictive, are often eliminated in...

0 Yaohou Fan, et al. ∙

research

∙ 03/06/2023

Requirements Framework for Engineering Human-centered Artificial Intelligence-Based Software Systems

[Context] Artificial intelligence (AI) components used in building softw...

0 Khlood Ahmad, et al. ∙

research

∙ 02/13/2023

Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study

Artificial Intelligence (AI) systems have gained significant traction in...

0 Khlood Ahmad, et al. ∙

research

∙ 02/11/2023

Persona-based Assessment of Software Engineering Student Research Projects: An Experience Report

Students enrolled in software engineering degrees are generally required...

0 Chetan Arora, et al. ∙

research

∙ 02/11/2023

Towards Human-Centred Crowd Computing: Software for Better Use of Computational Resources

Internet-connected smart devices are increasing at an exponential rate. ...

0 Niroshinie Fernando, et al. ∙

research

∙ 02/09/2023

AI-based Question Answering Assistance for Analyzing Natural-language Requirements

By virtue of being prevalently written in natural language (NL), require...

0 Saad Ezzini, et al. ∙

research

∙ 01/25/2023

Requirements Practices and Gaps When Engineering Human-Centered Artificial Intelligence Systems

[Context] Engineering Artificial Intelligence (AI) software is a relativ...

0 Khlood Ahmad, et al. ∙

research

∙ 12/20/2022

Requirements Engineering for Artificial Intelligence Systems: A Systematic Mapping Study

[Context] In traditional software systems, Requirements Engineering (RE)...

0 Khlood Ahmad, et al. ∙

research

∙ 11/09/2022

RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection

We propose a novel deep neural network architecture to learn interpretab...

0 Soumen Basu, et al. ∙

research

∙ 10/17/2022

Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention

Monocular Depth Estimation (MDE) aims to predict pixel-wise depth given ...

0 Ashutosh Agarwal, et al. ∙

research

∙ 10/13/2022

Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift

In Active Domain Adaptation (ADA), one uses Active Learning (AL) to sele...

16 Sharat Agarwal, et al. ∙

research

∙ 07/28/2022

A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions

Modern deep neural network models are known to erroneously classify out-...

0 Ramya S. Hebbalaguppe, et al. ∙

research

∙ 07/26/2022

Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining

Rich temporal information and variations in viewpoints make video data a...

7 Soumen Basu, et al. ∙

research

∙ 07/22/2022

My View is the Best View: Procedure Learning from Egocentric Videos

Procedure learning involves identifying the key-steps and determining th...

0 Siddhant Bansal, et al. ∙

research

∙ 07/10/2022

Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion

Attention-based models such as transformers have shown outstanding perfo...

0 Ashutosh Agarwal, et al. ∙

research

∙ 06/21/2022

COREQQA – A COmpliance REQuirements Understanding using Question Answering Tool

We introduce COREQQA, a tool for assisting requirements engineers in acq...

0 Sallam Abualhaija, et al. ∙

research

∙ 06/21/2022

TAPHSIR: Towards AnaPHoric Ambiguity Detection and ReSolution In Requirements

We introduce TAPHSIR, a tool for anaphoric ambiguity detection and anaph...

0 Saad Ezzini, et al. ∙

research

∙ 04/25/2022

Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning

We explore the potential of CNN-based models for gallbladder cancer (GBC...

0 Soumen Basu, et al. ∙

research

∙ 03/25/2022

A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration

Deep Neural Networks ( DNN s) are known to make overconfident mistakes, ...

0 Ramya Hebbalaguppe, et al. ∙

research

∙ 02/22/2022

Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey

A Machine-Critical Application is a system that is fundamentally necessa...

0 Ngoc Dung Huynh, et al. ∙

research

∙ 11/12/2021

Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection

Few-shot object detection (FSOD) localizes and classifies objects in an ...

0 Ashutosh Agarwal, et al. ∙

research

∙ 10/23/2021

Multi-Domain Incremental Learning for Semantic Segmentation

Recent efforts in multi-domain learning for semantic segmentation attemp...

0 Prachi Garg, et al. ∙

research

∙ 10/20/2021

Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias

Contextual information is a valuable cue for Deep Neural Networks (DNNs)...

0 Sharat Agarwal, et al. ∙

research

∙ 09/10/2021

Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living

Recent scientific and technological advancements driven by the Internet ...

0 Jonathan Kua, et al. ∙

research

∙ 08/06/2021

Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images

Semantic segmentation of medical images is an essential first step in co...

0 Bhavani Sambaturu, et al. ∙

research

∙ 08/13/2020

Contextual Diversity for Active Learning

Requirement of large annotated datasets restrict the use of deep convolu...

10 Sharat Agarwal, et al. ∙

research

∙ 04/21/2020

CovidAID: COVID-19 Detection Using Chest X-Ray

The exponential increase in COVID-19 patients is overwhelming healthcare...

12 Arpan Mangal, et al. ∙

research

∙ 10/18/2019

Diversity in Fashion Recommendation using Semantic Parsing

Developing recommendation system for fashion images is challenging due t...

0 Sagar Verma, et al. ∙

research

∙ 10/17/2019

Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos

We focus on first-person action recognition from egocentric videos. Unli...

0 Sagar Verma, et al. ∙

research

∙ 05/29/2019

Dynamic Adaptive Network Configuration for IoT Systems: A Search-based Approach

The concept of Internet of Things (IoT) has led to the development of ma...

0 Seung Yeob Shin, et al. ∙

research

∙ 11/24/2018

Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks

Many prediction tasks, especially in computer vision, are often inherent...

0 Dinesh Khandelwal, et al. ∙

research

∙ 06/12/2018

U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool

Automated brain tissue segmentation into white matter (WM), gray matter ...

0 Pulkit Kumar, et al. ∙

research

∙ 11/06/2017

A Joint 3D-2D based Method for Free Space Detection on Roads

In this paper, we address the problem of road segmentation and free spac...

0 Suvam Patra, et al. ∙

research

∙ 07/18/2017

Batch based Monocular SLAM for Egocentric Videos

Simultaneous Localization and Mapping (SLAM) from a monocular camera has...

0 Suvam Patra, et al. ∙

research

∙ 01/17/2017

Computing Egomotion with Local Loop Closures for Egocentric Videos

Finding the camera pose is an important step in many egocentric video ap...

0 Suvam Patra, et al. ∙

research

∙ 04/26/2016

EgoSampling: Wide View Hyperlapse from Egocentric Videos

The possibility of sharing one's point of view makes use of wearable cam...

0 Tavi Halperin, et al. ∙

research

∙ 04/07/2016

Trajectory Aligned Features For First Person Action Recognition

Egocentric videos are characterised by their ability to have the first p...

0 Suriya Singh, et al. ∙

research

∙ 04/28/2015

Compact CNN for Indexing Egocentric Videos

While egocentric video is becoming increasingly popular, browsing it is ...

0 Yair Poleg, et al. ∙

research

∙ 12/11/2014

EgoSampling: Fast-Forward and Stereo for Egocentric Videos

While egocentric cameras like GoPro are gaining popularity, the videos t...

0 Yair Poleg, et al. ∙

Chetan Arora

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