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ORCIDGaurav Aggarwal
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c48]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: 1702-1710- [c47]Vaishnav Kameswaran
, Jerry Robinson, Nithya Sambasivan, Gaurav Aggarwal, Meredith Ringel Morris:
Help and The Social Construction of Access: A Case-Study from India. ASSETS 2024: 48:1-48:12 - [c46]Ashwin Vaswani, Yashas Samaga, Gaurav Aggarwal, Praneeth Netrapalli, Narayan G. Hegde:
All Mistakes are not Equal: Comprehensive Hierarchy Aware Multilabel Predictions (CHAMP). ICPR (1) 2024: 264-282 - [i18]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. CoRR abs/2409.12255 (2024) - [i17]Radhika Dua, Nikita Saxena, Aditi Agarwal, Alex Wilson, Gaurav Singh, Hoang Tran, Ishan Deshpande, Amandeep Kaur, Gaurav Aggarwal, Chandan Nath, Arnab Basu, Vishal Batchu, Sharath Holla, Bindiya Kurle, Olana Missura, Rahul Aggarwal, Shubhika Garg, Nishi Shah, Avneet Singh, Dinesh Tewari, Agata Dondzik, Bharat Adsul, Milind A. Sohoni, Asim Rama Praveen, Aaryan Dangi, Lisan Kadivar, E. Abhishek, Niranjan Sudhansu, Kamlakar Hattekar, Sameer Datar, Musty Krishna Chaithanya, Anumas Ranjith Reddy, Aashish Kumar, Betala Laxmi Tirumala, Alok Talekar:
Agricultural Landscape Understanding At Country-Scale. CoRR abs/2411.05359 (2024) - 2023
- [j14]Aynur Sahin, Emre Öztürk, Gaurav Aggarwal:
Some Fixed-Point Results for the KF-Iteration Process in Hyperbolic Metric Spaces. Symmetry 15(7): 1360 (2023) - [c45]Sujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal:
Weakly Supervised Information Extraction from Inscrutable Handwritten Document Images. ICDAR (4) 2023: 445-463 - [c44]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: 28151-28166 - [c43]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: 5645-5652 - [c42]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 - [i16]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 abs/2305.19111 (2023) - [i15]Sujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal:
Weakly supervised information extraction from inscrutable handwritten document images. CoRR abs/2306.06823 (2023) - [i14]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 abs/2308.15037 (2023) - [i13]Nidhi Hegde, Sujoy Paul, Gagan Madan, Gaurav Aggarwal:
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering. CoRR abs/2309.14389 (2023) - 2022
- [j13]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: 17920-17932 (2022) - [j12]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): 2841-2858 (2022) - [c41]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: 767-797 - [c40]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: 3760-3765 - [c39]K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian:
Novel Class Discovery Without Forgetting. ECCV (24) 2022: 570-586 - [i12]K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian:
Spacing Loss for Discovering Novel Categories. CoRR abs/2204.10595 (2022) - [i11]Ashwin Vaswani, Gaurav Aggarwal, Praneeth Netrapalli, Narayan G. Hegde:
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP). CoRR abs/2206.08653 (2022) - [i10]K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian:
Novel Class Discovery without Forgetting. CoRR abs/2207.10659 (2022) - [i9]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 abs/2210.03505 (2022) - [i8]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 abs/2211.16309 (2022) - 2021
- [j11]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: 102041-102052 (2021) - [c38]Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe:
Learning Index Policies for Restless Bandits with Application to Maternal Healthcare. AAMAS 2021: 1467-1468 - [c37]Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe:
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. AAMAS 2021: 1680-1682 - [c36]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: 4039-4046 - [c35]Ping Zhang, Rishabh K. Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De:
Learning to Select Exogenous Events for Marked Temporal Point Process. NeurIPS 2021: 347-361 - [c34]Gaurav Aggarwal, Sreenivas Gollapudi, Raghavender, Ali Kemal Sinop:
Sketch-based Algorithms for Approximate Shortest Paths in Road Networks. WWW 2021: 3918-3929 - [i7]Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe:
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. CoRR abs/2105.07965 (2021) - [i6]Anirban Santara, Claudio Gentile, Gaurav Aggarwal, Shuai Li:
On Learning to Rank Long Sequences with Contextual Bandits. CoRR abs/2106.03546 (2021) - [i5]Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain:
Node-Level Differentially Private Graph Neural Networks. CoRR abs/2111.15521 (2021) - [i4]Ansh Khurana, Sujoy Paul, Piyush Rai, Soma Biswas, Gaurav Aggarwal:
SITA: Single Image Test-time Adaptation. CoRR abs/2112.02355 (2021) - [i3]Sujoy Paul, Ansh Khurana, Gaurav Aggarwal:
Unsupervised Adaptation of Semantic Segmentation Models without Source Data. CoRR abs/2112.02359 (2021) - 2020
- [j10]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): 16-34 (2020) - [j9]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): 1955-1971 (2020) - [i2]Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe:
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. CoRR abs/2012.12839 (2020)
2010 – 2019
- 2015
- [j8]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): 9587-9602 (2015) - [c33]Miriam Redi, Nikhil Rasiwasia, Gaurav Aggarwal, Alejandro Jaimes:
The beauty of capturing faces: Rating the quality of digital portraits. FG 2015: 1-8 - [c32]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: 1-6 - [r2]Rama Chellappa, Gaurav Aggarwal, Shaohua Kevin Zhou:
Face Recognition, Video-Based. Encyclopedia of Biometrics 2015: 514-521 - [i1]Miriam Redi, Nikhil Rasiwasia, Gaurav Aggarwal, Alejandro Jaimes:
The Beauty of Capturing Faces: Rating the Quality of Digital Portraits. CoRR abs/1501.07304 (2015) - 2014
- [c31]Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal:
Cluster Canonical Correlation Analysis. AISTATS 2014: 823-831 - [c30]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: 393-394 - 2013
- [j7]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): 3037-3049 (2013) - [c29]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: 3:1-3:10 - 2012
- [j6]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): 1536-1550 (2012) - [c28]Gaurav Aggarwal, Gaurav Kumar, Divyashikha Sethia:
Dynamic Prefix Caching of videos with Lazy Update. CCSEIT 2012: 689-693 - [c27]Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer:
A sparse representation approach to face matching across plastic surgery. WACV 2012: 113-119 - [c26]Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer:
Predicting good, bad and ugly match Pairs. WACV 2012: 153-160 - [c25]Narendran Thiagarajan, Gaurav Aggarwal, Angela Nicoara, Dan Boneh, Jatinder Pal Singh:
Who killed my battery?: analyzing mobile browser energy consumption. WWW 2012: 41-50 - 2011
- [c24]Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer:
Predicting performance of face recognition systems: An image characterization approach. CVPR Workshops 2011: 52-59 - [c23]Nisha Srinivas, Gaurav Aggarwal, Patrick J. Flynn, Richard W. Vorder Bruegge:
Facial marks as biometric signatures to distinguish between identical twins. CVPR Workshops 2011: 106-113 - [c22]Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn:
Pose-robust recognition of low-resolution face images. CVPR 2011: 601-608 - [c21]Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn:
Face recognition in low-resolution videos using learning-based likelihood measurement model. IJCB 2011: 1-7 - [c20]Jeffrey R. Paone, Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn:
Difficult imaging covariates or difficult subjects? - An empirical investigation. IJCB 2011: 1-8 - 2010
- [j5]Soma Biswas, Gaurav Aggarwal, Rama Chellappa:
An Efficient and Robust Algorithm for Shape Indexing and Retrieval. IEEE Trans. Multim. 12(5): 372-385 (2010) - [c19]Gaurav Aggarwal, Elie Bursztein, Collin Jackson, Dan Boneh:
An Analysis of Private Browsing Modes in Modern Browsers. USENIX Security Symposium 2010: 79-94
2000 – 2009
- 2009
- [j4]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): 83-97 (2009) - [j3]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): 884-899 (2009) - [r1]Rama Chellappa, Gaurav Aggarwal, Shaohua Kevin Zhou:
Face Recognition, Video-Based. Encyclopedia of Biometrics 2009: 366-372 - 2008
- [b1]Gaurav Aggarwal:
Recognizing Human Faces: Physical Modeling and Pattern Classification. University of Maryland, College Park, MD, USA, 2008 - [c18]Gaurav Aggarwal, Nalini K. Ratha, Ruud M. Bolle, Rama Chellappa:
Multi-biometric cohort analysis for biometric fusion. ICASSP 2008: 5224-5227 - [c17]Gaurav Aggarwal, Nalini K. Ratha, Jonathan H. Connell, Ruud M. Bolle:
Physics-based revocable face recognition. ICASSP 2008: 5232-5235 - 2007
- [j2]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): 230-245 (2007) - [c16]Gaurav Aggarwal, Soma Biswas, Rama Chellappa:
Symmetric Objects are Hardly Ambiguous. CVPR 2007 - [c15]Soma Biswas, Gaurav Aggarwal, Rama Chellappa:
Efficient Indexing For Articulation Invariant Shape Matching And Retrieval. CVPR 2007 - [c14]Soma Biswas, Gaurav Aggarwal, Rama Chellappa:
Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery. ICCV 2007: 1-8 - [c13]Rama Chellappa, Gaurav Aggarwal:
Video Biometrics. ICIAP 2007: 363-370 - 2006
- [c12]Gaurav Aggarwal, Nalini K. Ratha, Ruud M. Bolle:
Biometric Verification: Looking Beyond Raw Similarity Scores. CVPR Workshops 2006: 31 - [c11]Soma Biswas, Gaurav Aggarwal, Rama Chellappa:
Invariant Geometric Representation of 3D Point Clouds for Registration and Matching. ICIP 2006: 1209-1212 - [c10]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: 66-73 - 2005
- [c9]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: 136-141 - [c8]Gaurav Aggarwal, Soma Biswas, Rama Chellappa:
UMD Experiments with FRGC Data. CVPR Workshops 2005: 172 - [c7]Gaurav Aggarwal, Rama Chellappa:
Face Recognition in the Presence of Multiple Illumination Sources. ICCV 2005: 1169-1176 - [c6]Rama Chellappa, Ashok Veeraraghavan, Gaurav Aggarwal:
Pattern Recognition in Video. PReMI 2005: 11-20 - [c5]Gaurav Aggarwal, Ashok Veeraraghavan, Rama Chellappa:
3D Facial Pose Tracking in Uncalibrated Videos. PReMI 2005: 515-520 - 2004
- [c4]Gaurav Aggarwal, Amit K. Roy-Chowdhury, Rama Chellappa:
A System Identification Approach for Video-based Face Recognition. ICPR (4) 2004: 175-178 - 2002
- [j1]Gaurav Aggarwal, T. V. Ashwin, Sugata Ghosal:
An image retrieval system with automatic query modification. IEEE Trans. Multim. 4(2): 201-214 (2002) - 2000
- [c3]Gaurav Aggarwal, Sugata Ghosal, Pradeep K. Dubey:
Efficient Query Modification for Image Retrieval. CVPR 2000: 2255-2262 - [c2]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: 693-696
1990 – 1999
- 1997
- [c1]Gaurav Aggarwal, Nitin Thaper, Kamal Aggarwal, M. Balakrishnan, Shashi Kumar:
A Novel Reconfigurable Co-Processor Architecture. VLSI Design 1997: 370-375
Coauthor Index
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