Gaurav Aggarwal

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 34

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Soumyabrata Pal, Prateek Varshney, Gagan Madan, Prateek Jain, Abhradeep Thakurta, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components. AISTATS (2024)
Sujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal
Weakly supervised information extraction from inscrutable handwritten document images. CoRR (2023)
Nidhi Hegde, Sujoy Paul, Gagan Madan, Gaurav Aggarwal
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering. CoRR (2023)
Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki
Test-time Adaptation with Slot-Centric Models. ICML (2023)
Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh K. Iyer, Abir De
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks. NeurIPS (2023)
Sujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal
Weakly Supervised Information Extraction from Inscrutable Handwritten Document Images. ICDAR (4) (2023)
Debapriya Tula, Sujoy Paul, Gagan Madan, Peter Garst, R. Reeve Ingle, Gaurav Aggarwal
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models. CoRR (2023)
Aynur Sahin, Emre Öztürk, Gaurav Aggarwal
Some Fixed-Point Results for the KF-Iteration Process in Hyperbolic Metric Spaces. Symmetry 15 (7) (2023)
Returaj Burnwal, Anirban Santara, Nirav P. Bhatt, Balaraman Ravindran, Gaurav Aggarwal
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts. CoRR (2023)
Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations. ICRA (2023)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Spacing Loss for Discovering Novel Categories. CoRR (2022)
Soumyabrata Pal, Prateek Varshney, Prateek Jain, Abhradeep Guha Thakurta, Gagan Madan, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava
Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition. CoRR (2022)
Ashwin Vaswani, Gaurav Aggarwal, Praneeth Netrapalli, Narayan G. Hegde
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP). CoRR (2022)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Novel Class Discovery Without Forgetting. ECCV (24) (2022)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Novel Class Discovery without Forgetting. CoRR (2022)
Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations. CoRR (2022)
Akhilesh Kumar Sharma, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Radomír Gono, Zbigniew Leonowicz, Michal Jasiñski
Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network. IEEE Access 10 (2022)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Spacing Loss for Discovering Novel Categories. CVPR Workshops (2022)
Gaurav Aggarwal
Social Communication Disorder Outside Intellectual Disability? A Review and Classification Approach to Receptive and Expressive Communication in Intellectual Disability. Wirel. Pers. Commun. 127 (4) (2022)
Anirban Santara, Gaurav Aggarwal, Shuai Li, Claudio Gentile
Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback. AISTATS (2022)
Gaurav Aggarwal, Sreenivas Gollapudi, Raghavender, Ali Kemal Sinop
Sketch-based Algorithms for Approximate Shortest Paths in Road Networks. WWW (2021)
Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal H. Abawajy, Siddhartha Bhattacharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin
Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach. IEEE Access 9 (2021)
Ansh Khurana, Sujoy Paul, Piyush Rai, Soma Biswas, Gaurav Aggarwal
SITA: Single Image Test-time Adaptation. CoRR (2021)
Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain
Node-Level Differentially Private Graph Neural Networks. CoRR (2021)
Anirban Santara, Claudio Gentile, Gaurav Aggarwal, Shuai Li
On Learning to Rank Long Sequences with Contextual Bandits. CoRR (2021)
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, Milind Tambe
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. AAMAS (2021)
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. CoRR (2021)
Ping Zhang, Rishabh K. Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De
Learning to Select Exogenous Events for Marked Temporal Point Process. NeurIPS (2021)
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
Learning Index Policies for Restless Bandits with Application to Maternal Healthcare. AAMAS (2021)
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. IJCAI (2021)
Sujoy Paul, Ansh Khurana, Gaurav Aggarwal
Unsupervised Adaptation of Semantic Segmentation Models without Source Data. CoRR (2021)
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, Milind Tambe
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. CoRR (2020)
Gaurav Aggarwal, Latika Singh
Comparisons of Speech Parameterisation Techniques for Classification of Intellectual Disability Using Machine Learning. Int. J. Cogn. Informatics Nat. Intell. 14 (2) (2020)
Gaurav Aggarwal, Rudraksh Monga, Sarada Prasad Gochhayat
A Novel Hybrid PSO Assisted Optimization for Classification of Intellectual Disability Using Speech Signal. Wirel. Pers. Commun. 113 (4) (2020)
Armin Kappeler, Robin D. Morris, Amar Ramesh Kamat, Nikhil Rasiwasia, Gaurav Aggarwal
Combining deep learning and unsupervised clustering to improve scene recognition performance. MMSP (2015)
Chetan Kumar Verma, Vijay Mahadevan, Nikhil Rasiwasia, Gaurav Aggarwal, Ravi Kant, Alejandro Jaimes, Sujit Dey
Construction and evaluation of ontological tag trees. Expert Syst. Appl. 42 (24) (2015)
Miriam Redi, Nikhil Rasiwasia, Gaurav Aggarwal, Alejandro Jaimes
The beauty of capturing faces: Rating the quality of digital portraits. FG (2015)
Miriam Redi, Nikhil Rasiwasia, Gaurav Aggarwal, Alejandro Jaimes
The Beauty of Capturing Faces: Rating the Quality of Digital Portraits. CoRR (2015)
Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal
Cluster Canonical Correlation Analysis. AISTATS (2014)
Chetan Kumar Verma, Vijay Mahadevan, Nikhil Rasiwasia, Gaurav Aggarwal, Ravi Kant, Alejandro Jaimes, Sujit Dey
Construction of tag ontological graphs by locally minimizing weighted average hops. WWW (Companion Volume) (2014)
Zahir Koradia, Goutham Mannava, Aravindh Raman, Gaurav Aggarwal, Vinay J. Ribeiro, Aaditeshwar Seth, Sebastien Ardon, Anirban Mahanti, Sipat Triukose
First impressions on the state of cellular data connectivity in India. ACM DEV (4) (2013)
Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn, Kevin W. Bowyer
Pose-Robust Recognition of Low-Resolution Face Images. IEEE Trans. Pattern Anal. Mach. Intell. 35 (12) (2013)
Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer
A sparse representation approach to face matching across plastic surgery. WACV (2012)
Narendran Thiagarajan, Gaurav Aggarwal, Angela Nicoara, Dan Boneh, Jatinder Pal Singh
Who killed my battery?: analyzing mobile browser energy consumption. WWW (2012)
Nisha Srinivas, Gaurav Aggarwal, Patrick J. Flynn, Richard W. Vorder Bruegge
Analysis of Facial Marks to Distinguish Between Identical Twins. IEEE Trans. Inf. Forensics Secur. 7 (5) (2012)
Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer
Predicting good, bad and ugly match Pairs. WACV (2012)
Gaurav Aggarwal, Gaurav Kumar, Divyashikha Sethia
Dynamic Prefix Caching of videos with Lazy Update. CCSEIT (2012)
Nisha Srinivas, Gaurav Aggarwal, Patrick J. Flynn, Richard W. Vorder Bruegge
Facial marks as biometric signatures to distinguish between identical twins. CVPR Workshops (2011)
Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn
Face recognition in low-resolution videos using learning-based likelihood measurement model. IJCB (2011)
Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer
Predicting performance of face recognition systems: An image characterization approach. CVPR Workshops (2011)
Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn
Pose-robust recognition of low-resolution face images. CVPR (2011)
Jeffrey R. Paone, Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn
Difficult imaging covariates or difficult subjects? - An empirical investigation. IJCB (2011)
Soma Biswas, Gaurav Aggarwal, Rama Chellappa
An Efficient and Robust Algorithm for Shape Indexing and Retrieval. IEEE Trans. Multim. 12 (5) (2010)
Gaurav Aggarwal, Elie Bursztein, Collin Jackson, Dan Boneh
An Analysis of Private Browsing Modes in Modern Browsers. USENIX Security Symposium (2010)
Soma Biswas, Gaurav Aggarwal, Rama Chellappa
Robust Estimation of Albedo for Illumination-Invariant Matching and Shape Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 31 (5) (2009)
Sankalita Saha, Vida Kianzad, Jason Schlessman, Gaurav Aggarwal, Shuvra S. Bhattacharyya, Rama Chellappa, Wayne H. Wolf
An architectural level design methodology for smart camera applications. Int. J. Embed. Syst. 4 (1) (2009)
Gaurav Aggarwal, Nalini K. Ratha, Jonathan H. Connell, Ruud M. Bolle
Physics-based revocable face recognition. ICASSP (2008)
Gaurav Aggarwal, Nalini K. Ratha, Ruud M. Bolle, Rama Chellappa
Multi-biometric cohort analysis for biometric fusion. ICASSP (2008)
Soma Biswas, Gaurav Aggarwal, Rama Chellappa
Efficient Indexing For Articulation Invariant Shape Matching And Retrieval. CVPR (2007)
Rama Chellappa, Gaurav Aggarwal
Video Biometrics. ICIAP (2007)
Soma Biswas, Gaurav Aggarwal, Rama Chellappa
Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery. ICCV (2007)
Shaohua Kevin Zhou, Gaurav Aggarwal, Rama Chellappa, David W. Jacobs
Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29 (2) (2007)
Gaurav Aggarwal, Soma Biswas, Rama Chellappa
Symmetric Objects are Hardly Ambiguous. CVPR (2007)
Sankalita Saha, Chung-Ching Shen, Chia-Jui Hsu, Gaurav Aggarwal, Ashok Veeraraghavan, Alan Sussman, Shuvra S. Bhattacharyya
Model-Based OpenMP Implementation of a 3D Facial Pose Tracking System. ICPP Workshops (2006)
Soma Biswas, Gaurav Aggarwal, Rama Chellappa
Invariant Geometric Representation of 3D Point Clouds for Registration and Matching. ICIP (2006)
Gaurav Aggarwal, Nalini K. Ratha, Ruud M. Bolle
Biometric Verification: Looking Beyond Raw Similarity Scores. CVPR Workshops (2006)
Vida Kianzad, Sankalita Saha, Jason Schlessman, Gaurav Aggarwal, Shuvra S. Bhattacharyya, Wayne H. Wolf, Rama Chellappa
An architectural level design methodology for embedded face detection. CODES+ISSS (2005)
Gaurav Aggarwal, Soma Biswas, Rama Chellappa
UMD Experiments with FRGC Data. CVPR Workshops (2005)
Gaurav Aggarwal, Rama Chellappa
Face Recognition in the Presence of Multiple Illumination Sources. ICCV (2005)
Gaurav Aggarwal, Ashok Veeraraghavan, Rama Chellappa
3D Facial Pose Tracking in Uncalibrated Videos. PReMI (2005)
Rama Chellappa, Ashok Veeraraghavan, Gaurav Aggarwal
Pattern Recognition in Video. PReMI (2005)
Gaurav Aggarwal, Amit K. Roy-Chowdhury, Rama Chellappa
A System Identification Approach for Video-based Face Recognition. ICPR (4) (2004)
Gaurav Aggarwal, T. V. Ashwin, Sugata Ghosal
An image retrieval system with automatic query modification. IEEE Trans. Multim. 4 (2) (2002)
Gaurav Aggarwal, Sugata Ghosal, Pradeep K. Dubey
Efficient Query Modification for Image Retrieval. CVPR (2000)
Gaurav Aggarwal, Pradeep K. Dubey, Sugata Ghosal, Ashutosh Kulshreshtha, Abhinanda Sarkar
iPURE: Perceptual and User-Friendly Retrieval of Images. IEEE International Conference on Multimedia and Expo (II) (2000)
Gaurav Aggarwal, Nitin Thaper, Kamal Aggarwal, M. Balakrishnan, Shashi Kumar
A Novel Reconfigurable Co-Processor Architecture. VLSI Design (1997)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gaurav Aggarwal