Harsh Agarwal

33 papers A* 3B 2Misc 2Journal 17Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference.
CoRR
Divya Jyoti Bajpai, Dhruv Bhardwaj, Soumya Roy, Tejas Duseja, Harsh Agarwal, Aashay Sandansing, Manjesh Kumar Hanawal
2025 Misc conf
AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis.
ICASSP
Divya Bharti, Sriprabha Ramanarayanan, Sadhana S, Kishore Kumar M, Keerthi Ram, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam
2025 J jnl
AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis.
CoRR
Divya Bharti, Sriprabha Ramanarayanan, Sadhana S, Kishore Kumar M, Keerthi Ram, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam
2025 J jnl
An Explainable Deep Learning Framework for Sorghum Weed Classification Using Multi-Scale Feature Enhanced DenseNet.
IEEE Access
Armaano Ajay, Sandosh S., Aryan Saji, Harsh Agarwal
2025 — conf
DCEtriformer: A Hybrid Attention Transformer for DCE-MRI Synthesis in Prostate Imaging.
ICCVW
Sadhana S, Sriprabha Ramanarayanan, Kishore Kumar M, Keerthi Ram, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam
2025 J jnl
DeePhyNet: Toward Detecting Phylogeny in Deepfakes.
IEEE Trans. Biom. Behav. Identity Sci.
Kartik Thakral, Harsh Agarwal, Kartik Narayan, Surbhi Mittal, Mayank Vatsa, Richa Singh
2025 — conf
Towards Artificial Intelligence Chips Design: A Ground Up Approach for Beginners' Integrated Circuits Design Education.
MCSoC
Harsh Agarwal, Tee Hui Teo
2025 J jnl
What Work is AI Actually Doing? Uncovering the Drivers of Generative AI Adoption.
CoRR
Peeyush Agarwal, Harsh Agarwal, Akshat Rana
2025 A* conf
ir_explain: A Python Library of Explainable IR Methods.
SIGIR
Sourav Saha, Harsh Agarwal, Venktesh V, Avishek Anand, Swastik Mohanty, Debapriyo Majumdar, Mandar Mitra
2024 J jnl
A seven-layer model with checklists for standardising fairness assessment throughout the AI lifecycle.
AI Ethics
Avinash Agarwal, Harsh Agarwal
2024 J jnl
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators.
Artif. Intell. Medicine
Harsh Agarwal, Heena Rathore
2024 — conf
DCE-former: A Transformer-Based Model with Mutual Information and Frequency-Based Loss Functions for Early and Late Response Prediction in Prostate DCE-MRI.
ISBI
Sadhana S, Sriprabha Ramanarayanan, Arunima Sarkar, Keerthi Ram, NagaGayathri Matcha, Suresh Emmanuel Joel, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam
2024 J jnl
ir_explain: a Python Library of Explainable IR Methods.
CoRR
Sourav Saha, Harsh Agarwal, Swastik Mohanty, Mandar Mitra, Debapriyo Majumdar
2023 A* conf
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset.
CVPR
Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
2023 J jnl
Fairness Score and process standardization: framework for fairness certification in artificial intelligence systems.
AI Ethics
Avinash Agarwal, Harsh Agarwal, Nihaarika Agarwal
2023 — conf
Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators.
NER
Harsh Agarwal, Heena Rathore
2023 — conf
Predictive Data Analysis: Leveraging RNN and LSTM Techniques for Time Series Dataset.
ICMLDE
Harsh Agarwal, Ginika Mahajan, Anita Shrotriya, Deepika Shekhawat
2022 J jnl
A Seven-Layer Model for Standardising AI Fairness Assessment.
CoRR
Avinash Agarwal, Harsh Agarwal
2022 — conf
DeSI: Deepfake Source Identifier for Social Media.
CVPR Workshops
Kartik Narayan, Harsh Agarwal, Surbhi Mittal, Kartik Thakral, Suman Kundu, Mayank Vatsa, Richa Singh
2022 B conf
DeePhy: On Deepfake Phylogeny.
IJCB
Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
2022 J jnl
DeePhy: On Deepfake Phylogeny.
CoRR
Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
2022 J jnl
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems.
CoRR
Avinash Agarwal, Harsh Agarwal, Nihaarika Agarwal
2022 J jnl
Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators.
CoRR
Harsh Agarwal, Heena Rathore
2021 J jnl
DeepBLE: Generalizing RSSI-based Localization Across Different Devices.
CoRR
Harsh Agarwal, Navyata Sanghvi, Vivek Roy, Kris Kitani
2021 J jnl
Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts.
CoRR
Harsh Agarwal, Keshav Bansal, Abhinav Joshi, Ashutosh Modi
2020 — conf
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text.
SemEval@COLING
Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi
2020 J jnl
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text.
CoRR
Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi
2020 Misc conf
Resource Allocation with Admission Control for GBR and Delay QoS in 5G Network Slices.
COMSNETS
Tulja Vamshi Kiran Buyakar, Harsh Agarwal, Bheemarjuna Reddy Tamma, A. Antony Franklin
2019 B conf
Prototyping and Load Balancing the Service Based Architecture of 5G Core Using NFV.
NetSoft
Tulja Vamshi Kiran Buyakar, Harsh Agarwal, Bheemarjuna Reddy Tamma, A. Antony Franklin
2018 — conf
Automatic knee cartilage segmentation using fully volumetric convolutional neural networks for evaluation of osteoarthritis.
ISBI
Archit Raj, Srikrishnan Vishwanathan, Bhavya Ajani, Karthik Krishnan, Harsh Agarwal
2018 — conf
Classification of Abandoned and Unattended Objects, Identification of Their Owner with Threat Assessment for Visual Surveillance.
CVIP (1)
Harsh Agarwal, Gursimar Singh, Mohammed Arshad Siddiqui
2018 A* conf
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction.
CVPR
Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian D. Reid
2018 J jnl
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction.
CoRR
Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian D. Reid