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09/11/2023
Gall Bladder Cancer Detection from US Images with Only Image Level Labels
Automated detection of Gallbladder Cancer (GBC) from Ultrasound (US) ima...
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07/01/2023
PersonaGen: A Tool for Generating Personas from User Feedback
Personas are crucial in software development processes, particularly in ...
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06/27/2023
UTRNet: High-Resolution Urdu Text Recognition In Printed Documents
In this paper, we propose a novel approach to address the challenges of ...
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06/02/2023
Multi-Modal Emotion Recognition for Enhanced Requirements Engineering: A Novel Approach
Requirements engineering (RE) plays a crucial role in developing softwar...
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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...
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03/18/2023
Stop Words for Processing Software Engineering Documents: Do they Matter?
Stop words, which are considered non-predictive, are often eliminated in...
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03/06/2023
Requirements Framework for Engineering Human-centered Artificial Intelligence-Based Software Systems
[Context] Artificial intelligence (AI) components used in building softw...
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02/13/2023
Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
Artificial Intelligence (AI) systems have gained significant traction in...
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02/11/2023
Persona-based Assessment of Software Engineering Student Research Projects: An Experience Report
Students enrolled in software engineering degrees are generally required...
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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. ...
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02/09/2023
AI-based Question Answering Assistance for Analyzing Natural-language Requirements
By virtue of being prevalently written in natural language (NL), require...
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01/25/2023
Requirements Practices and Gaps When Engineering Human-Centered Artificial Intelligence Systems
[Context] Engineering Artificial Intelligence (AI) software is a relativ...
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12/20/2022
Requirements Engineering for Artificial Intelligence Systems: A Systematic Mapping Study
[Context] In traditional software systems, Requirements Engineering (RE)...
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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...
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10/17/2022
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention
Monocular Depth Estimation (MDE) aims to predict pixel-wise depth given ...
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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...
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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-...
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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...
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07/22/2022
My View is the Best View: Procedure Learning from Egocentric Videos
Procedure learning involves identifying the key-steps and determining th...
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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...
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06/21/2022
COREQQA – A COmpliance REQuirements Understanding using Question Answering Tool
We introduce COREQQA, a tool for assisting requirements engineers in acq...
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06/21/2022
TAPHSIR: Towards AnaPHoric Ambiguity Detection and ReSolution In Requirements
We introduce TAPHSIR, a tool for anaphoric ambiguity detection and anaph...
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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...
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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, ...
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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...
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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 ...
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10/23/2021
Multi-Domain Incremental Learning for Semantic Segmentation
Recent efforts in multi-domain learning for semantic segmentation attemp...
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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)...
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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 ...
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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...
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08/13/2020
Contextual Diversity for Active Learning
Requirement of large annotated datasets restrict the use of deep convolu...
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04/21/2020
CovidAID: COVID-19 Detection Using Chest X-Ray
The exponential increase in COVID-19 patients is overwhelming healthcare...
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10/18/2019
Diversity in Fashion Recommendation using Semantic Parsing
Developing recommendation system for fashion images is challenging due t...
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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...
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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...
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11/24/2018
Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks
Many prediction tasks, especially in computer vision, are often inherent...
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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 ...
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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...
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07/18/2017
Batch based Monocular SLAM for Egocentric Videos
Simultaneous Localization and Mapping (SLAM) from a monocular camera has...
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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...
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04/26/2016
EgoSampling: Wide View Hyperlapse from Egocentric Videos
The possibility of sharing one's point of view makes use of wearable cam...
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04/07/2016
Trajectory Aligned Features For First Person Action Recognition
Egocentric videos are characterised by their ability to have the first p...
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04/28/2015
Compact CNN for Indexing Egocentric Videos
While egocentric video is becoming increasingly popular, browsing it is ...
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12/11/2014
