Classification of Abandoned and Unattended Objects, Identification of Their Owner with Threat Assessment for Visual Surveillance. - Harsh Agarwal; Gursimar Singh; Mohammed Arshad Siddiqui (CVIP (1), 2018)

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction. - Huangying Zhan; Ravi Garg; Chamara Saroj Weerasekera; Kejie Li; Harsh Agarwal; Ian D. Reid 001 (CVPR, 2018)

Automatic knee cartilage segmentation using fully volumetric convolutional neural networks for evaluation of osteoarthritis. - Archit Raj; Srikrishnan Vishwanathan; Bhavya Ajani; Karthik Krishnan; Harsh Agarwal (ISBI, 2018)

Prototyping and Load Balancing the Service Based Architecture of 5G Core Using NFV. - Tulja Vamshi Kiran Buyakar; Harsh Agarwal; Bheemarjuna Reddy Tamma; A. Antony Franklin (NetSoft, 2019)

Resource Allocation with Admission Control for GBR and Delay QoS in 5G Network Slices. - Tulja Vamshi Kiran Buyakar; Harsh Agarwal; Bheemarjuna Reddy Tamma; A. Antony Franklin (COMSNETS, 2020)

BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text. - Ayush Kumar; Harsh Agarwal; Keshav Bansal; Ashutosh Modi (SemEval@COLING, 2020)

DeepBLE: Generalizing RSSI-based Localization Across Different Devices. - Harsh Agarwal; Navyata Sanghvi; Vivek Roy; Kris Kitani (CoRR, 2021)

Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts. - Harsh Agarwal; Keshav Bansal; Abhinav Joshi; Ashutosh Modi (CoRR, 2021)

DeSI: Deepfake Source Identifier for Social Media. - Kartik Narayan; Harsh Agarwal; Surbhi Mittal; Kartik Thakral; Suman Kundu; Mayank Vatsa; Richa Singh 001 (CVPR Workshops, 2022)

DeePhy: On Deepfake Phylogeny. - Kartik Narayan; Harsh Agarwal; Kartik Thakral; Surbhi Mittal; Mayank Vatsa; Richa Singh 001 (IJCB, 2022)

A Seven-Layer Model for Standardising AI Fairness Assessment. - Avinash Agarwal; Harsh Agarwal (CoRR, 2022)

DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. - Kartik Narayan; Harsh Agarwal; Kartik Thakral; Surbhi Mittal; Mayank Vatsa; Richa Singh 001 (CVPR, 2023)

Predictive Data Analysis: Leveraging RNN and LSTM Techniques for Time Series Dataset. - Harsh Agarwal; Ginika Mahajan; Anita Shrotriya; Deepika Shekhawat (ICMLDE, 2023)

Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators. - Harsh Agarwal; Heena Rathore (NER, 2023)

Fairness Score and process standardization: framework for fairness certification in artificial intelligence systems. - Avinash Agarwal; Harsh Agarwal; Nihaarika Agarwal (AI Ethics, 2023)

DCE-former: A Transformer-Based Model with Mutual Information and Frequency-Based Loss Functions for Early and Late Response Prediction in Prostate DCE-MRI. - Sadhana S; Sriprabha Ramanarayanan; Arunima Sarkar; Keerthi Ram; NagaGayathri Matcha; Suresh Emmanuel Joel; Harsh Agarwal; Ramesh Venkatesan; Mohanasankar Sivaprakasam (ISBI, 2024)

ir_explain: a Python Library of Explainable IR Methods. - Sourav Saha 003; Harsh Agarwal; Swastik Mohanty; Mandar Mitra; Debapriyo Majumdar (CoRR, 2024)

BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators. - Harsh Agarwal; Heena Rathore (Artif. Intell. Medicine, 2024)

A seven-layer model with checklists for standardising fairness assessment throughout the AI lifecycle. - Avinash Agarwal; Harsh Agarwal (AI Ethics, 2024)

AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis. - Divya Bharti; Sriprabha Ramanarayanan; Sadhana S; Kishore Kumar M; Keerthi Ram; Harsh Agarwal; Ramesh Venkatesan; Mohanasankar Sivaprakasam (ICASSP, 2025)

ir_explain: A Python Library of Explainable IR Methods. - Sourav Saha 003; Harsh Agarwal; Venktesh V; Avishek Anand; Swastik Mohanty; Debapriyo Majumdar; Mandar Mitra (SIGIR, 2025)

An Explainable Deep Learning Framework for Sorghum Weed Classification Using Multi-Scale Feature Enhanced DenseNet. - Armaano Ajay; Sandosh S.; Aryan Saji; Harsh Agarwal (IEEE Access, 2025)

DeePhyNet: Toward Detecting Phylogeny in Deepfakes. - Kartik Thakral; Harsh Agarwal; Kartik Narayan; Surbhi Mittal; Mayank Vatsa; Richa Singh 001 (IEEE Trans. Biom. Behav. Identity Sci., 2025)