Particle Swarm Optimization guided multi-frequency power-aware System-on-Chip test scheduling using window-based peak power model. - Rajit Karmakar; Aditya Agarwal; Santanu Chattopadhyay (VDAT, 2014)

Test Infrastructure Development and Test Scheduling of 3D-Stacked ICs under Resource and Power Constraints. - Rajit Karmakar; Aditya Agarwal; Santanu Chattopadhyay (ATS, 2015)

Testing of 3D-stacked ICs with hard- and soft-dies - a Particle Swarm Optimization based approach. - Rajit Karmakar; Aditya Agarwal; Santanu Chattopadhyay (VTS, 2015)

Minimally supervised sound event detection using a neural network. - Aditya Agarwal; Syed Munawwar Quadri; Savitha Murthy; Dinkar Sitaram (ICACCI, 2016)

Conditional adherence based classification of transactions for database intrusion detection and prevention. - Indu Singh; Vaibhav Darbari; Lakshya Kejriwal; Aditya Agarwal (ICACCI, 2016)

PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation. - Aditya Agarwal; Yupeng Han; Maxim Likhachev (IROS, 2020)

An Approach Towards Action Recognition Using Part Based Hierarchical Fusion. - Aditya Agarwal; Bipasha Sen (ISVC (1), 2020)

Provably Constant-time Planning and Re-planning for Real-time Grasping Objects off a Conveyor Belt. - Fahad Islam; Oren Salzman; Aditya Agarwal; Maxim Likhachev (Robotics: Science and Systems, 2020)

Machine Learning Evaluation for Music Genre Classification of Audio Signals. - Chetna Dabas; Aditya Agarwal; Naman Gupta; Vaibhav Jain; Siddhant Pathak (Int. J. Grid High Perform. Comput., 2020)

Personalized One-Shot Lipreading for an ALS Patient. - Bipasha Sen; Aditya Agarwal; Rudrabha Mukhopadhyay; Vinay P. Namboodiri; C. V. Jawahar (BMVC, 2021)

Reed: An Approach Towards Quickly Bootstrapping Multilingual Acoustic Models. - Bipasha Sen; Aditya Agarwal; Mirishkar Sai Ganesh; Anil Kumar Vuppala (SLT, 2021)

Provably constant-time planning and replanning for real-time grasping objects off a conveyor belt. - Fahad Islam; Oren Salzman; Aditya Agarwal; Maxim Likhachev (Int. J. Robotics Res., 2021)

Fast and High-Quality, GPU-based, Deliberative, Object-Pose Estimation. - Aditya Agarwal; Yash Oza; Maxim Likhachev; Chad C. Kessens (Field Robotics, 2021)

Sentiment Analysis using Modified GRU. - Aditya Agarwal; Prasanjit Dey; Sanjay Kumar (IC3, 2022)

Approaches and Challenges in Robotic Perception for Table-top Rearrangement and Planning. - Aditya Agarwal; Bipasha Sen; Shankara Narayanan V; Vishal Reddy Mandadi; Brojeshwar Bhowmick; K. Madhava Krishna (CoRR, 2022)

Towards MOOCs for Lip Reading: Using Synthetic Talking Heads to Train Humans in Lipreading at Scale. - Aditya Agarwal; Bipasha Sen; Rudrabha Mukhopadhyay; Vinay P. Namboodiri; C. V. Jawahar (CoRR, 2022)

INR-V: A Continuous Representation Space for Video-based Generative Tasks. - Bipasha Sen; Aditya Agarwal; Vinay P. Namboodiri; C. V. Jawahar (Trans. Mach. Learn. Res., 2022)

Human-Scale Mobile Manipulation Using RoMan. - Chad C. Kessens; Matthew Kaplan 002; Trevor Rocks; Philip R. Osteen; John G. Rogers; Ethan Stump; Arnon Hurwitz; Jonathan Fink; Long Quang; Mark Gonzalez; Jaymit Patel; Michael Diblasi; et al. (Field Robotics, 2022)

Disentangling Planning and Control for Non-Prehensile Tabletop Manipulation. - Vishal Reddy Mandadi; Kallol Saha; Dipanwita Guhathakurta; M. Nomaan Qureshi; Aditya Agarwal; Bipasha Sen; Dipanjan Das 003; Brojeshwar Bhowmick; Arun Kumar Singh 001; K. Madhava Krishna (CASE, 2023)

SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping. - Bipasha Sen; Aditya Agarwal; Gaurav Singh; Brojeshwar Bhowmick; Srinath Sridhar 002; K. Madhava Krishna (ICRA, 2023)

HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork. - Bipasha Sen; Gaurav Singh; Aditya Agarwal; Rohith Agaram; K. Madhava Krishna; Srinath Sridhar 002 (NeurIPS, 2023)

Automatically Generating Hindi Wikipedia Pages Using Wikidata as a Knowledge Graph: A Domain-Specific Template Sentences Approach. - Aditya Agarwal; Radhika Mamidi (RANLP, 2023)

Towards MOOCs for Lipreading: Using Synthetic Talking Heads to Train Humans in Lipreading at Scale. - Aditya Agarwal; Bipasha Sen; Rudrabha Mukhopadhyay; Vinay P. Namboodiri; C. V. Jawahar (WACV, 2023)

FaceOff: A Video-to-Video Face Swapping System. - Aditya Agarwal; Bipasha Sen; Rudrabha Mukhopadhyay; Vinay P. Namboodiri; C. V. Jawahar (WACV, 2023)

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. - Qiao Gu; Ali Kuwajerwala; Sacha Morin; Krishna Murthy Jatavallabhula; Bipasha Sen; Aditya Agarwal; Corban Rivera; William Paul; Kirsty Ellis; Rama Chellappa; Chuang Gan 001; Celso Miguel de Melo; et al. (ICRA, 2024)

EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning. - Kallol Saha; Vishal Reddy Mandadi; Jayaram Reddy; Ajit Srikanth; Aditya Agarwal; Bipasha Sen; Arun Kumar Singh 001; K. Madhava Krishna (ICRA, 2024)

SceneComplete: Open-World 3D Scene Completion in Complex Real World Environments for Robot Manipulation. - Aditya Agarwal; Gaurav Singh; Bipasha Sen; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2024)

Learning to Look Around: Enhancing Teleoperation and Learning with a Human-like Actuated Neck. - Bipasha Sen; Michelle Wang; Nandini Thakur; Aditya Agarwal; Pulkit Agrawal 001 (CoRR, 2024)

Vector Quantized Feature Fields for Fast 3D Semantic Lifting. - George Tang; Aditya Agarwal; Weiqiao Han; Trevor Darrell; Yutong Bai (CoRR, 2025)

An Integral-Differential Probabilistic Fusion Framework of YOLO v8 and GPT-4o for High-Fidelity Tiny Object Recognition and Collision Threat Confidence in Autonomous Driving. - Akbar Anbar Jafari; Aditya Agarwal; Cagri Ozcinar; Gholamreza Anbarjafari (Signal Image Video Process., 2025)