Rectified Mosaicing: Mosaics without the Curl. - Shmuel Peleg; Assaf Zomet; Chetan Arora 001 (CVPR, 2000)

ImAge: An Extensible Agent-based Architecture for Image Retrieval. - Hiranmay Ghosh; Santanu Chaudhury; Chetan Arora 001; Paramjeet Nirankari (Int. J. Digit. Libr., 2000)

An Efficient Graph Cut Algorithm for Computer Vision Problems. - Chetan Arora 001; Subhashis Banerjee; Prem Kalra; S. N. Maheshwari (ECCV (3), 2010)

Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP. - Chetan Arora 001; Subhashis Banerjee; Prem Kalra; S. N. Maheshwari (ECCV (5), 2012)

Efficient representation of distributions for background subtraction. - Yedid Hoshen; Chetan Arora 001; Yair Poleg; Shmuel Peleg (AVSS, 2013)

Higher Order Matching for Consistent Multiple Target Tracking. - Chetan Arora 001; Amir Globerson (ICCV, 2013)

Head Motion Signatures from Egocentric Videos. - Yair Poleg; Chetan Arora 001; Shmuel Peleg (ACCV (3), 2014)

Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems. - Chetan Arora 001; Subhashis Banerjee; Prem Kumar Kalra; S. N. Maheshwari (CVPR, 2014)

Multi-label Generic Cuts: Optimal Inference in Multi-label Multi-clique MRF-MAP Problems. - Chetan Arora 001; S. N. Maheshwari (CVPR, 2014)

Temporal Segmentation of Egocentric Videos. - Yair Poleg; Chetan Arora 001; Shmuel Peleg (CVPR, 2014)

Optical flow for non Lambertian surfaces by cancelling illuminant chromaticity. - Chetan Arora 001; Michael Werman (ICIP, 2014)

EgoSampling: Fast-forward and stereo for egocentric videos. - Yair Poleg; Tavi Halperin; Chetan Arora 001; Shmuel Peleg (CVPR, 2015)

Generic action recognition from egocentric videos. - Suriya Singh; Chetan Arora 001; C. V. Jawahar (NCVPRIPG, 2015)

Generalized Flows for Optimal Inference in Higher Order MRF-MAP. - Chetan Arora 001; Subhashis Banerjee; Prem Kumar Kalra; S. N. Maheshwari (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Min Norm Point Algorithm for Higher Order MRF-MAP Inference. - Ishant Shanu; Chetan Arora 001; Parag Singla (CVPR, 2016)

First Person Action Recognition Using Deep Learned Descriptors. - Suriya Singh; Chetan Arora 001; C. V. Jawahar (CVPR, 2016)

Deep neural networks for segmentation of basal ganglia sub-structures in brain MR images. - Akshay Sethi; Akshat Sinha; Ayush Agarwal; Chetan Arora 001; Anubha Gupta (ICVGIP, 2016)

Compact CNN for indexing egocentric videos. - Yair Poleg; Ariel Ephrat; Shmuel Peleg; Chetan Arora 001 (WACV, 2016)

EgoSampling: Wide View Hyperlapse from Single and Multiple Egocentric Videos. - Tavi Halperin; Yair Poleg; Chetan Arora 001; Shmuel Peleg (CoRR, 2016)

Lazy Generic Cuts. - Dinesh Khandelwal; Kush Bhatia; Chetan Arora 001; Parag Singla (Comput. Vis. Image Underst., 2016)

Deep CNN with color lines model for unmarked road segmentation. - Shashank Yadav; Suvam Patra; Chetan Arora 001; Subhashis Banerjee (ICIP, 2017)

Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions. - Bharat Lal Bhatnagar; Suriya Singh; Chetan Arora 001; C. V. Jawahar (IJCAI, 2017)

MAVI: An Embedded Device to Assist Mobility of Visually Impaired. - Rajesh Kedia; K. K. Yoosuf; Pappireddy Dedeepya; Munib Fazal; Chetan Arora 001; M. Balakrishnan (VLSID, 2017)

Computing Egomotion with Local Loop Closures for Egocentric Videos. - Suvam Patra; Himanshu Aggarwal; Himani Arora; Subhashis Banerjee; Chetan Arora 001 (WACV, 2017)

Batch based Monocular SLAM for Egocentric Videos. - Suvam Patra; Kartikeya Gupta; Faran Ahmad; Chetan Arora 001; Subhashis Banerjee (CoRR, 2017)

Trajectory aligned features for first person action recognition. - Suriya Singh; Chetan Arora 001; C. V. Jawahar (Pattern Recognit., 2017)

Inference in Higher Order MRF-MAP Problems With Small and Large Cliques. - Ishant Shanu; Chetan Arora 001; S. N. Maheshwari (CVPR, 2018)

Exploiting Texture Cues for Clothing Parsing in Fashion Images. - Tarasha Khurana; Kushagra Mahajan; Chetan Arora 001; Atul Rai (ICIP, 2018)

U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool. - Pulkit Kumar; Pravin Nagar; Chetan Arora 001; Anubha Gupta (ICIP, 2018)

Pose Aware Fine-Grained Visual Classification Using Pose Experts. - Kushagra Mahajan; Tarasha Khurana; Ayush Chopra; Isha Gupta; Chetan Arora 001; Atul Rai (ICIP, 2018)

Making Deep Neural Network Fooling Practical. - Ambar Pal; Chetan Arora 001 (ICIP, 2018)

Diversity in Fashion Recommendation Using Semantic Parsing. - Sagar Verma; Sukhad Anand; Chetan Arora 001; Atul Rai (ICIP, 2018)

Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos. - Sagar Verma; Pravin Nagar; Divam Gupta; Chetan Arora 001 (ICIP, 2018)

Stabilizing First Person 360 Degree Videos. - Chetan Arora 001; Vivek Kwatra (WACV, 2018)

Learning Higher Order Potentials for MRFs. - Dinesh Khandelwal; Parag Singla; Chetan Arora 001 (WACV, 2018)

A Joint 3D-2D Based Method for Free Space Detection on Roads. - Suvam Patra; Pranjal Maheshwari; Shashank Yadav; Subhashis Banerjee; Chetan Arora 001 (WACV, 2018)

Object Detection in Real-Time Systems: Going Beyond Precision. - Anupam Sobti; Chetan Arora 001; M. Balakrishnan (WACV, 2018)

Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks. - Dinesh Khandelwal; Suyash Agrawal; Parag Singla; Chetan Arora 001 (CoRR, 2018)

EgoSampling: Wide View Hyperlapse From Egocentric Videos. - Tavi Halperin; Yair Poleg; Chetan Arora 001; Shmuel Peleg (IEEE Trans. Circuits Syst. Video Technol., 2018)

Multi-sensor Energy Efficient Obstacle Detection. - Anupam Sobti; M. Balakrishnan; Chetan Arora 001 (DSD, 2019)

Generating 1 Minute Summaries of Day Long Egocentric Videos. - Anuj Rathore; Pravin Nagar; Chetan Arora 001; C. V. Jawahar (ACM Multimedia, 2019)

MAVI: Mobility Assistant for Visually Impaired with Optional Use of Local and Cloud Resources. - Rajesh Kedia; Anupam Sobti; Mukund Rungta; Sarvesh Chandoliya; Akhil Soni; Anil Kumar Meena; Chrystle Myrna Lobo; Richa Verma; M. Balakrishnan; Chetan Arora 001 (VLSID, 2019)

EGO-SLAM: A Robust Monocular SLAM for Egocentric Videos. - Suvam Patra; Kartikeya Gupta; Faran Ahmad; Chetan Arora 001; Subhashis Banerjee (WACV, 2019)

Gait metric learning siamese network exploiting dual of spatio-temporal 3D-CNN intra and LSTM based inter gait-cycle-segment features. - Daksh Thapar; Gaurav Jaswal; Aditya Nigam; Chetan Arora 001 (Pattern Recognit. Lett., 2019)

Contextual Diversity for Active Learning. - Sharat Agarwal; Himanshu Arora; Saket Anand; Chetan Arora 001 (ECCV (16), 2020)

An Inference Algorithm for Multi-label MRF-MAP Problems with Clique Size 100. - Ishant Shanu; Siddhant Bharti; Chetan Arora 001; S. N. Maheshwari (ECCV (20), 2020)

Is Sharing of Egocentric Video Giving Away Your Biometric Signature? - Daksh Thapar; Chetan Arora 001; Aditya Nigam (ECCV (17), 2020)

Robust and Adaptive Traffic Signal Control for Unstructured Driving Scenarios in the Developing World. - Ishan Maheshwari; Ujwal Padam Tewari; Chetan Arora 001 (IV, 2020)

Concept Drift Detection for Multivariate Data Streams and Temporal Segmentation of Daylong Egocentric Videos. - Pravin Nagar; Mansi Khemka; Chetan Arora 001 (ACM Multimedia, 2020)

Recognizing Camera Wearer from Hand Gestures in Egocentric Videos: https: //egocentricbiometric.github.io/. - Daksh Thapar; Aditya Nigam; Chetan Arora 001 (ACM Multimedia, 2020)

CovidAID: COVID-19 Detection Using Chest X-Ray. - Arpan Mangal; Surya Kalia; Harish Rajgopal; Krithika Rangarajan; Vinay P. Namboodiri; Subhashis Banerjee; Chetan Arora 001 (CoRR, 2020)

Anonymizing Egocentric Videos. - Daksh Thapar; Aditya Nigam; Chetan Arora 001 (ICCV, 2021)

Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks. - Ankita Raj; Ambar Pal; Chetan Arora 001 (ICIP, 2021)

Comprehensive Telerobotic Ultrasound System for Abdominal Development and in-vivo Feasibility Study. - Deepak Raina; Hardeep Singh; Subir Kumar Saha; Chetan Arora 001; Ayushi Agarwal; Chandrashekhara SH; Krithika Rangarajan; Suvayan Nandi (ISMR, 2021)

Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions During Clinical Evaluation of Medical Images. - Bhavani Sambaturu; Ashutosh Gupta; C. V. Jawahar; Chetan Arora 001 (MICCAI (2), 2021)

VmAP: A Fair Metric for Video Object Detection. - Anupam Sobti; Vaibhav Mavi; M. Balakrishnan; Chetan Arora 001 (ACM Multimedia, 2021)

Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection. - Ashutosh Agarwal; Anay Majee; Anbumani Subramanian; Chetan Arora 001 (CoRR, 2021)

Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning. - Soumen Basu; Mayank Gupta; Pratyaksha Rana; Pankaj Gupta 005; Chetan Arora 001 (CVPR, 2022)

A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration. - Ramya Hebbalaguppe; Jatin Prakash; Neelabh Madan; Chetan Arora 001 (CVPR, 2022)

Merry Go Round: Rotate a Frame and Fool a DNN. - Daksh Thapar; Aditya Nigam; Chetan Arora 001 (CVPR, 2022)

Use of Metric Learning for the Recognition of Handwritten Digits, and its Application to Increase the Outreach of Voice-based Communication Platforms. - Devesh Pant; Dibyendu Talukder; Deepak Kumar; Rachit Pandey; Aaditeshwar Seth; Chetan Arora 001 (COMPASS, 2022)

My View is the Best View: Procedure Learning from Egocentric Videos. - Siddhant Bansal; Chetan Arora 001; C. V. Jawahar (ECCV (13), 2022)

Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions. - Nikhil Reddy; Abhinav Singhal; Abhishek Kumar; Mahsa Baktashmotlagh; Chetan Arora 001 (ECCV (39), 2022)

Depthformer: Multiscale Vision Transformer for Monocular Depth Estimation with Global Local Information Fusion. - Ashutosh Agarwal; Chetan Arora 001 (ICIP, 2022)

Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation. - Britty Baby; Mustafa Chasmai; Tamajit Banerjee; Ashish Suri; Subhashis Banerjee; Chetan Arora 001 (ICIP, 2022)

New Objects on the Road? No Problem, We'll Learn Them Too. - Deepak Kumar Singh; Shyam Nandan Rai; K. J. Joseph; Rohit Saluja; Vineeth N. Balasubramanian; Chetan Arora 001; Anbumani Subramanian; C. V. Jawahar (IROS, 2022)

Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining. - Soumen Basu; Somanshu Singla; Mayank Gupta; Pratyaksha Rana; Pankaj Gupta 005; Chetan Arora 001 (MICCAI (4), 2022)

A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions. - Ramya Hebbalaguppe; Soumya Suvra Ghosal; Jatin Prakash; Harshad Khadilkar; Chetan Arora 001 (ECML/PKDD (3), 2022)

Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias. - Sharat Agarwal; Sumanyu Muku; Saket Anand; Chetan Arora 001 (WACV, 2022)

Attention Guided Cosine Margin to Overcome Class-Imbalance in Few-Shot Road Object Detection. - Ashutosh Agarwal; Anay Majee; Anbumani Subramanian; Chetan Arora 001 (WACV (Workshops), 2022)

Multi-Domain Incremental Learning for Semantic Segmentation. - Prachi Garg; Rohit Saluja; Vineeth N. Balasubramanian; Chetan Arora 001; Anbumani Subramanian; C. V. Jawahar (WACV, 2022)

To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors. - Vaishnavi Khindkar; Chetan Arora 001; Vineeth N. Balasubramanian; Anbumani Subramanian; Rohit Saluja; C. V. Jawahar (WACV, 2022)

FLUID: Few-Shot Self-Supervised Image Deraining. - Shyam Nandan Rai; Rohit Saluja; Chetan Arora 001; Vineeth N. Balasubramanian; Anbumani Subramanian; C. V. Jawahar (WACV, 2022)

Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion. - Ashutosh Agarwal; Chetan Arora 001 (CoRR, 2022)

A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions. - Ramya S. Hebbalaguppe; Soumya Suvra Goshal; Jatin Prakash; Harshad Khadilkar; Chetan Arora 001 (CoRR, 2022)

UTRNet: High-Resolution Urdu Text Recognition in Printed Documents. - Abdur Rahman; Arjun Ghosh; Chetan Arora 001 (ICDAR (5), 2023)

From Feline Classification to Skills Evaluation: A Multitask Learning Framework for Evaluating Micro Suturing Neurosurgical Skills. - Rohan Raju Dhanakshirur; Varidh Katiyar; Ravi Sharma; Ashish Suri; Prem Kumar Kalra; Chetan Arora 001 (ICIP, 2023)

Parts Based Attention for Highly Occluded Pedestrian Detection with Transformers. - K. N. Ajay Shastry; Jayesh Chaudhari; Daksh Thapar; Aditya Nigam; Chetan Arora 001 (ICIP, 2023)

Gall Bladder Cancer Detection from US Images with only Image Level Labels. - Soumen Basu; Ashish Papanai; Mayank Gupta; Pankaj Gupta 005; Chetan Arora 001 (MICCAI (1), 2023)

Learnable Query Initialization for Surgical Instrument Instance Segmentation. - Rohan Raju Dhanakshirur; K. N. Ajay Shastry; Kaustubh Borgavi; Ashish Suri; Prem Kumar Kalra; Chetan Arora 001 (MICCAI (9), 2023)

How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging? - Mayank Gupta; Soumen Basu; Chetan Arora 001 (MICCAI (3), 2023)

Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention. - Ashutosh Agarwal; Chetan Arora 001 (WACV, 2023)

Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift. - Sharat Agarwal; Saket Anand; Chetan Arora 001 (WACV, 2023)

From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments. - Britty Baby; Daksh Thapar; Mustafa Chasmai; Tamajit Banerjee; Kunal Dargan; Ashish Suri; Subhashis Banerjee; Chetan Arora 001 (WACV, 2023)

Robust OCR Pipeline for Automated Digitization of Mother and Child Protection Cards in India. - Devesh Pant; Dibyendu Talukder; Aaditeshwar Seth; Dinesh Pant; Rohit Singh; Brejesh Dua; Rachit Pandey; Srirama Maruthi; Mira Johri; Chetan Arora 001 (ACM J. Comput. Sustain. Soc., 2023)

RadFormer: Transformers with global-local attention for interpretable and accurate Gallbladder Cancer detection. - Soumen Basu; Mayank Gupta; Pratyaksha Rana; Pankaj Gupta 005; Chetan Arora 001 (Medical Image Anal., 2023)

ScribbleNet: Efficient interactive annotation of urban city scenes for semantic segmentation. - Bhavani Sambaturu; Ashutosh Gupta; C. V. Jawahar; Chetan Arora 001 (Pattern Recognit., 2023)

Generating Personalized Summaries of Day Long Egocentric Videos. - Pravin Nagar; Anuj Rathore; C. V. Jawahar; Chetan Arora 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Calibration Transfer via Knowledge Distillation. - Ramya Hebbalaguppe; Mayank Baranwal; Kartik Anand; Chetan Arora 001 (ACCV (8), 2024)

GaitW: Enhancing Gait Recognition in the Wild Using Dynamic Information. - Daksh Thapar; Jayesh Chaudhari; Sunny Manchanda; Aditya Nigam; Chetan Arora 001 (ACCV (1), 2024)

Examining the Threat Landscape: Foundation ModelsÂ andÂ ModelÂ Stealing. - Ankita Raj; Deepankar Varma; Chetan Arora 001 (BMVC, 2024)

FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders. - Soumen Basu; Mayuna Gupta; Chetan Madan; Pankaj Gupta 005; Chetan Arora 001 (CVPR, 2024)

ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation. - Suraj Patni; Aradhye Agarwal; Chetan Arora 001 (CVPR, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CVPR Workshops, 2024)

No Prompting Frozen Foundation Models: Interactive Medical Volume Segmentation using Continual Test Time Adaptation of Compact Models. - Kushal Borkar; Abhilaksh Singh Reen; C. V. Jawahar; Chetan Arora 001 (ICVGIP, 2024)

Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach. - Vaishnavi Khindkar; Vineeth Balasubramanian; Chetan Arora 001; Anbumani Subramanian; C. V. Jawahar (IROS, 2024)

D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms. - Tajamul Ashraf; Krithika Rangarajan; Mohit Gambhir; Richa Gauba; Chetan Arora 001 (MICCAI (11), 2024)

VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios. - Rohan Raju Dhanakshirur; Mrinal Tyagi; Britty Baby; Ashish Suri; Prem Kalra; Chetan Arora 001 (MICCAI (6), 2024)

MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History. - Kshitiz Jain; Aditya Bansal; Krithika Rangarajan; Chetan Arora 001 (MICCAI (1), 2024)

Follow the Radiologist: Clinically Relevant Multi-view Cues for Breast Cancer Detection from Mammograms. - Kshitiz Jain; Krithika Rangarajan; Chetan Arora 001 (MICCAI (1), 2024)

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks. - Ankita Raj; Harsh Swaika; Deepankar Varma; Chetan Arora 001 (MICCAI (11), 2024)

United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning from Videos. - Siddhant Bansal; Chetan Arora 001; C. V. Jawahar (WACV, 2024)

FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation. - Sudarshan S. Harithas; Gurkirat Singh; Aneesh Chavan; Sarthak Sharma; Suraj Patni; Chetan Arora 001; K. Madhava Krishna (WACV, 2024)

Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection. - Akshit Jindal; Vikram Goyal; Saket Anand; Chetan Arora 001 (WACV, 2024)

SEMA: Semantic Attention for Capturing Long-Range Dependencies in Egocentric Lifelogs. - Pravin Nagar; K. N. Ajay Shastry; Jayesh Chaudhari; Chetan Arora 001 (WACV, 2024)

Domain-Aware Knowledge Distillation for Continual Model Generalization. - Nikhil Reddy; Mahsa Baktashmotlagh; Chetan Arora 001 (WACV, 2024)

Favoring One Among Equals - Not a Good Idea: Many-to-one Matching for Robust Transformer based Pedestrian Detection. - K. N. Ajay Shastry; K. Ravi Sri Teja; Aditya Nigam; Chetan Arora 001 (WACV, 2024)

Assessing the Feasibility and Ethics of Economic Status Prediction using Deep Learning on Household Images. - Aatif Nisar Dar; Nandana Sengupta; Chetan Arora 001 (ACM J. Comput. Sustain. Soc., 2024)

Enhancing Large Language Models for Text-to-Testcase Generation. - Saranya Alagarsamy; Chakkrit Tantithamthavorn; Chetan Arora 001; Aldeida Aleti (CoRR, 2024)

D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms. - Tajamul Ashraf; Krithika Rangarajan; Mohit Gambhir; Richa Gabha; Chetan Arora 001 (CoRR, 2024)

Towards Global Localization using Multi-Modal Object-Instance Re-Identification. - Aneesh Chavan; Vaibhav Agrawal; Vineeth Bhat; Sarthak Chittawar; Siddharth Srivastava 004; Chetan Arora 001; K. Madhava Krishna (CoRR, 2024)

LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Image. - Chetan Madan; Mayuna Gupta; Soumen Basu; Pankaj Gupta 005; Chetan Arora 001 (CoRR, 2024)

Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation. - Prafful Kumar Khoba; Zijian Wang 009; Chetan Arora 001; Mahsa Baktashmotlagh (WACV, 2025)

LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Images. - Chetan Madan; Mayuna Gupta; Soumen Basu; Pankaj Gupta 005; Chetan Arora 001 (WACV, 2025)

A deep learning approach for objective evaluation of microscopic neuro-drilling craniotomy skills. - Raman Kumar; Rohan Raju Dhanakshirur; Ramandeep Singh; Ashish Suri; Prem Kumar Kalra; Chetan Arora 001 (Comput. Biol. Medicine, 2025)

Enhancing large language models for text-to-testcase generation. - Saranya Alagarsamy; Chakkrit Tantithamthavorn; Wannita Takerngsaksiri; Chetan Arora 001; Aldeida Aleti (J. Syst. Softw., 2025)

Examining the Threat Landscape: Foundation Models and Model Stealing. - Ankita Raj; Deepankar Varma; Chetan Arora 001 (CoRR, 2025)

Requirements-Driven Automated Software Testing: A Systematic Review. - Fanyu Wang; Chetan Arora 001; Chakkrit Tantithamthavorn; Kaicheng Huang; Aldeida Aleti (CoRR, 2025)

Prompting without Panic: Attribute-aware, Zero-shot, Test-Time Calibration. - Ramya Hebbalaguppe; Tamoghno Kandar; Abhinav Nagpal; Chetan Arora 001 (CoRR, 2025)

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry. - Chetan Arora 001; Fanyu Wang; Chakkrit Tantithamthavorn; Aldeida Aleti; Shaun Kenyon (CoRR, 2025)

Towards Fine-Grained Adaptation of CLIP via a Self-Trained Alignment Score. - Eman Ali; Sathira Silva; Chetan Arora 001; Muhammad Haris Khan (CoRR, 2025)

Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification. - Chetan Madan; Aarjav Satia; Soumen Basu; Pankaj Gupta 005; Usha Dutta; Chetan Arora 001 (CoRR, 2025)

Prototype-Guided Pseudo-Labeling with Neighborhood-Aware Consistency for Unsupervised Adaptation. - Eman Ali; Chetan Arora 001; Muhammad Haris Khan (CoRR, 2025)

Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs. - Fanyu Wang; Chetan Arora 001; Yonghui Liu; Kaicheng Huang; Chakkrit Tantithamthavorn; Aldeida Aleti; Dishan Sambathkumar; David Lo 001 (CoRR, 2025)