A Novel Reconfigurable Co-Processor Architecture. - Gaurav Aggarwal; Nitin Thaper; Kamal Aggarwal; M. Balakrishnan; Shashi Kumar (VLSI Design, 1997)

Efficient Query Modification for Image Retrieval. - Gaurav Aggarwal; Sugata Ghosal; Pradeep K. Dubey (CVPR, 2000)

iPURE: Perceptual and User-Friendly Retrieval of Images. - Gaurav Aggarwal; Pradeep K. Dubey; Sugata Ghosal; Ashutosh Kulshreshtha; Abhinanda Sarkar (IEEE International Conference on Multimedia and Expo (II), 2000)

An image retrieval system with automatic query modification. - Gaurav Aggarwal; T. V. Ashwin; Sugata Ghosal (IEEE Trans. Multim., 2002)

A System Identification Approach for Video-based Face Recognition. - Gaurav Aggarwal; Amit K. Roy-Chowdhury; Rama Chellappa (ICPR (4), 2004)

An architectural level design methodology for embedded face detection. - Vida Kianzad; Sankalita Saha; Jason Schlessman; Gaurav Aggarwal; Shuvra S. Bhattacharyya; Wayne H. Wolf; Rama Chellappa (CODES+ISSS, 2005)

UMD Experiments with FRGC Data. - Gaurav Aggarwal; Soma Biswas; Rama Chellappa (CVPR Workshops, 2005)

Face Recognition in the Presence of Multiple Illumination Sources. - Gaurav Aggarwal; Rama Chellappa (ICCV, 2005)

3D Facial Pose Tracking in Uncalibrated Videos. - Gaurav Aggarwal; Ashok Veeraraghavan; Rama Chellappa (PReMI, 2005)

Pattern Recognition in Video. - Rama Chellappa; Ashok Veeraraghavan; Gaurav Aggarwal (PReMI, 2005)

Biometric Verification: Looking Beyond Raw Similarity Scores. - Gaurav Aggarwal; Nalini K. Ratha; Ruud M. Bolle (CVPR Workshops, 2006)

Invariant Geometric Representation of 3D Point Clouds for Registration and Matching. - Soma Biswas; Gaurav Aggarwal; Rama Chellappa (ICIP, 2006)

Model-Based OpenMP Implementation of a 3D Facial Pose Tracking System. - Sankalita Saha; Chung-Ching Shen; Chia-Jui Hsu; Gaurav Aggarwal; Ashok Veeraraghavan; Alan Sussman; Shuvra S. Bhattacharyya (ICPP Workshops, 2006)

Symmetric Objects are Hardly Ambiguous. - Gaurav Aggarwal; Soma Biswas; Rama Chellappa (CVPR, 2007)

Efficient Indexing For Articulation Invariant Shape Matching And Retrieval. - Soma Biswas; Gaurav Aggarwal; Rama Chellappa (CVPR, 2007)

Video Biometrics. - Rama Chellappa; Gaurav Aggarwal (ICIAP, 2007)

Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition. - Shaohua Kevin Zhou; Gaurav Aggarwal; Rama Chellappa; David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Multi-biometric cohort analysis for biometric fusion. - Gaurav Aggarwal; Nalini K. Ratha; Ruud M. Bolle; Rama Chellappa (ICASSP, 2008)

Physics-based revocable face recognition. - Gaurav Aggarwal; Nalini K. Ratha; Jonathan H. Connell; Ruud M. Bolle (ICASSP, 2008)

Recognizing Human Faces: Physical Modeling and Pattern Classification. - Gaurav Aggarwal (2008)

An architectural level design methodology for smart camera applications. - Sankalita Saha; Vida Kianzad; Jason Schlessman; Gaurav Aggarwal; Shuvra S. Bhattacharyya; Rama Chellappa; Wayne H. Wolf (Int. J. Embed. Syst., 2009)

Robust Estimation of Albedo for Illumination-Invariant Matching and Shape Recovery. - Soma Biswas; Gaurav Aggarwal; Rama Chellappa (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Face Recognition, Video-Based. - Rama Chellappa; Gaurav Aggarwal; Shaohua Kevin Zhou (Encyclopedia of Biometrics, 2009)

An Analysis of Private Browsing Modes in Modern Browsers. - Gaurav Aggarwal; Elie Bursztein; Collin Jackson; Dan Boneh (USENIX Security Symposium, 2010)

An Efficient and Robust Algorithm for Shape Indexing and Retrieval. - Soma Biswas; Gaurav Aggarwal; Rama Chellappa (IEEE Trans. Multim., 2010)

Predicting performance of face recognition systems: An image characterization approach. - Gaurav Aggarwal; Soma Biswas; Patrick J. Flynn; Kevin W. Bowyer (CVPR Workshops, 2011)

Pose-robust recognition of low-resolution face images. - Soma Biswas; Gaurav Aggarwal; Patrick J. Flynn (CVPR, 2011)

Facial marks as biometric signatures to distinguish between identical twins. - Nisha Srinivas; Gaurav Aggarwal; Patrick J. Flynn; Richard W. Vorder Bruegge (CVPR Workshops, 2011)

Face recognition in low-resolution videos using learning-based likelihood measurement model. - Soma Biswas; Gaurav Aggarwal; Patrick J. Flynn (IJCB, 2011)

Difficult imaging covariates or difficult subjects? - An empirical investigation. - Jeffrey R. Paone; Soma Biswas; Gaurav Aggarwal; Patrick J. Flynn (IJCB, 2011)

Dynamic Prefix Caching of videos with Lazy Update. - Gaurav Aggarwal; Gaurav Kumar; Divyashikha Sethia (CCSEIT, 2012)

A sparse representation approach to face matching across plastic surgery. - Gaurav Aggarwal; Soma Biswas; Patrick J. Flynn; Kevin W. Bowyer (WACV, 2012)

Predicting good, bad and ugly match Pairs. - Gaurav Aggarwal; Soma Biswas; Patrick J. Flynn; Kevin W. Bowyer (WACV, 2012)

Who killed my battery?: analyzing mobile browser energy consumption. - Narendran Thiagarajan; Gaurav Aggarwal; Angela Nicoara; Dan Boneh; Jatinder Pal Singh (WWW, 2012)

Analysis of Facial Marks to Distinguish Between Identical Twins. - Nisha Srinivas; Gaurav Aggarwal; Patrick J. Flynn; Richard W. Vorder Bruegge (IEEE Trans. Inf. Forensics Secur., 2012)

First impressions on the state of cellular data connectivity in India. - Zahir Koradia; Goutham Mannava; Aravindh Raman; Gaurav Aggarwal; Vinay J. Ribeiro; Aaditeshwar Seth; Sebastien Ardon; Anirban Mahanti; Sipat Triukose (ACM DEV (4), 2013)

Pose-Robust Recognition of Low-Resolution Face Images. - Soma Biswas; Gaurav Aggarwal; Patrick J. Flynn; Kevin W. Bowyer (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Cluster Canonical Correlation Analysis. - Nikhil Rasiwasia; Dhruv Mahajan 001; Vijay Mahadevan; Gaurav Aggarwal (AISTATS, 2014)

Construction of tag ontological graphs by locally minimizing weighted average hops. - Chetan Kumar Verma; Vijay Mahadevan; Nikhil Rasiwasia; Gaurav Aggarwal; Ravi Kant; Alejandro Jaimes; Sujit Dey (WWW (Companion Volume), 2014)

The beauty of capturing faces: Rating the quality of digital portraits. - Miriam Redi; Nikhil Rasiwasia; Gaurav Aggarwal; Alejandro Jaimes (FG, 2015)

Combining deep learning and unsupervised clustering to improve scene recognition performance. - Armin Kappeler; Robin D. Morris; Amar Ramesh Kamat; Nikhil Rasiwasia; Gaurav Aggarwal (MMSP, 2015)

Construction and evaluation of ontological tag trees. - Chetan Kumar Verma; Vijay Mahadevan; Nikhil Rasiwasia; Gaurav Aggarwal; Ravi Kant; Alejandro Jaimes; Sujit Dey (Expert Syst. Appl., 2015)

Face Recognition, Video-Based. - Rama Chellappa; Gaurav Aggarwal; Shaohua Kevin Zhou (Encyclopedia of Biometrics, 2015)

Comparisons of Speech Parameterisation Techniques for Classification of Intellectual Disability Using Machine Learning. - Gaurav Aggarwal; Latika Singh (Int. J. Cogn. Informatics Nat. Intell., 2020)

A Novel Hybrid PSO Assisted Optimization for Classification of Intellectual Disability Using Speech Signal. - Gaurav Aggarwal; Rudraksh Monga; Sarada Prasad Gochhayat (Wirel. Pers. Commun., 2020)

Learning Index Policies for Restless Bandits with Application to Maternal Healthcare. - Arpita Biswas; Gaurav Aggarwal; Pradeep Varakantham; Milind Tambe (AAMAS, 2021)

Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. - Alok Talekar; Sharad Shriram; Nidhin K. Vaidhiyan; Gaurav Aggarwal; Jiangzhuo Chen; Srinivasan Venkatramanan; Lijing Wang 001; Aniruddha Adiga; Adam Sadilek; Ashish Tendulkar; Madhav V. Marathe; Rajesh Sundaresan; et al. (AAMAS, 2021)

Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. - Arpita Biswas; Gaurav Aggarwal; Pradeep Varakantham; Milind Tambe (IJCAI, 2021)

Learning to Select Exogenous Events for Marked Temporal Point Process. - Ping Zhang; Rishabh K. Iyer; Ashish Tendulkar; Gaurav Aggarwal; Abir De (NeurIPS, 2021)

Sketch-based Algorithms for Approximate Shortest Paths in Road Networks. - Gaurav Aggarwal; Sreenivas Gollapudi; Raghavender; Ali Kemal Sinop (WWW, 2021)

Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach. - Akhilesh Kumar Sharma; Gaurav Aggarwal; Sachit Bhardwaj; Prasun Chakrabarti; Tulika Chakrabarti; Jemal H. Abawajy; Siddhartha Bhattacharyya; Richa Mishra; Anirban Das; Hairulnizam Mahdin (IEEE Access, 2021)

On Learning to Rank Long Sequences with Contextual Bandits. - Anirban Santara; Claudio Gentile; Gaurav Aggarwal; Shuai Li (CoRR, 2021)

Node-Level Differentially Private Graph Neural Networks. - Ameya Daigavane; Gagan Madan; Aditya Sinha; Abhradeep Guha Thakurta; Gaurav Aggarwal; Prateek Jain 002 (CoRR, 2021)

SITA: Single Image Test-time Adaptation. - Ansh Khurana; Sujoy Paul; Piyush Rai; Soma Biswas; Gaurav Aggarwal (CoRR, 2021)

Unsupervised Adaptation of Semantic Segmentation Models without Source Data. - Sujoy Paul; Ansh Khurana; Gaurav Aggarwal (CoRR, 2021)

Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback. - Anirban Santara; Gaurav Aggarwal; Shuai Li; Claudio Gentile (AISTATS, 2022)

Spacing Loss for Discovering Novel Categories. - K. J. Joseph; Sujoy Paul; Gaurav Aggarwal; Soma Biswas; Piyush Rai; Kai Han 001; Vineeth N. Balasubramanian (CVPR Workshops, 2022)

Novel Class Discovery Without Forgetting. - K. J. Joseph; Sujoy Paul; Gaurav Aggarwal; Soma Biswas; Piyush Rai; Kai Han 001; Vineeth N. Balasubramanian (ECCV (24), 2022)

Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network. - Akhilesh Kumar Sharma; Shamik Tiwari; Gaurav Aggarwal; Nitika Goenka; Anil Kumar 009; Prasun Chakrabarti; Tulika Chakrabarti; Radomír Gono; Zbigniew Leonowicz; Michal Jasiñski (IEEE Access, 2022)

All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP). - Ashwin Vaswani; Gaurav Aggarwal; Praneeth Netrapalli; Narayan G. Hegde (CoRR, 2022)

Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition. - Soumyabrata Pal; Prateek Varshney; Prateek Jain 002; Abhradeep Guha Thakurta; Gagan Madan; Gaurav Aggarwal; Pradeep Shenoy; Gaurav Srivastava 004 (CoRR, 2022)

Social Communication Disorder Outside Intellectual Disability? A Review and Classification Approach to Receptive and Expressive Communication in Intellectual Disability. - Gaurav Aggarwal (Wirel. Pers. Commun., 2022)

Weakly Supervised Information Extraction from Inscrutable Handwritten Document Images. - Sujoy Paul; Gagan Madan; Akankshya Mishra; Narayan Hegde; Pradeep Kumar; Gaurav Aggarwal (ICDAR (4), 2023)

Test-time Adaptation with Slot-Centric Models. - Mihir Prabhudesai; Anirudh Goyal; Sujoy Paul; Sjoerd van Steenkiste; Mehdi S. M. Sajjadi; Gaurav Aggarwal; Thomas Kipf; Deepak Pathak; Katerina Fragkiadaki (ICML, 2023)

A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations. - Sohan Rudra; Saksham Goel; Anirban Santara; Claudio Gentile; Laurent Perron; Fei Xia; Vikas Sindhwani; Carolina Parada; Gaurav Aggarwal (ICRA, 2023)

Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks. - Eeshaan Jain; Tushar Nandy; Gaurav Aggarwal; Ashish Tendulkar; Rishabh K. Iyer; Abir De (NeurIPS, 2023)

GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts. - Returaj Burnwal; Anirban Santara; Nirav P. Bhatt; Balaraman Ravindran; Gaurav Aggarwal (CoRR, 2023)

Is it an i or an l: Test-time Adaptation of Text Line Recognition Models. - Debapriya Tula; Sujoy Paul; Gagan Madan; Peter Garst; R. Reeve Ingle; Gaurav Aggarwal (CoRR, 2023)

Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering. - Nidhi Hegde 003; Sujoy Paul; Gagan Madan; Gaurav Aggarwal (CoRR, 2023)

Some Fixed-Point Results for the KF-Iteration Process in Hyperbolic Metric Spaces. - Aynur Sahin; Emre Öztürk; Gaurav Aggarwal (Symmetry, 2023)

Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components. - Soumyabrata Pal; Prateek Varshney; Gagan Madan; Prateek Jain 002; Abhradeep Thakurta; Gaurav Aggarwal; Pradeep Shenoy; Gaurav Srivastava 004 (AISTATS, 2024)

Help and The Social Construction of Access: A Case-Study from India. - Vaishnav Kameswaran; Jerry Robinson; Nithya Sambasivan; Gaurav Aggarwal; Meredith Ringel Morris (ASSETS, 2024)

All Mistakes are not Equal: Comprehensive Hierarchy Aware Multilabel Predictions (CHAMP). - Ashwin Vaswani; Yashas Samaga; Gaurav Aggarwal; Praneeth Netrapalli; Narayan G. Hegde (ICPR (1), 2024)

Agricultural Landscape Understanding At Country-Scale. - Radhika Dua; Nikita Saxena; Aditi Agarwal; Alex Wilson; Gaurav Singh; Hoang Tran; Ishan Deshpande; Amandeep Kaur; Gaurav Aggarwal; Chandan Nath; Arnab Basu; Vishal Batchu; et al. (CoRR, 2024)

Farm-Level, In-Season Crop Identification for India. - Ishan Deshpande; Amandeep Kaur Reehal; Chandan Nath; Renu Singh; Aayush Patel; Aishwarya Jayagopal; Gaurav Singh; Gaurav Aggarwal; Amit Agarwal; Prathmesh Bele; Sridhar Reddy; Tanya Warrier; et al. (CoRR, 2025)