Research Interests
Data-efficient Deep Learning, Generative AI - Diffusion models and LLMs, Deep Learning for Computer Vision, Machine Learning, Knowledge Distillation, Adversarial Robustness, Domain Adaptation, Continual Learning, Geo-localization, Federated Learning
BioSketch
Research
CityGuessr: City-Level Video Geo-Localization on a Global Scale
2024
Parth Parag Kulkarni, Gaurav Kumar Nayak, Mubarak Shah | European Computer Vision Association
Journal: European Conference on Computer Vision (ECCV)
Generalized deep learning model for photovoltaic module segmentation from satellite and aerial imagery
2024
Gustavo Garcı́a, Alejandro Aparcedo, Gaurav Kumar Nayak, Tanvir Ahmed, Mubarak Shah, and Mengjie Li | Springer
Journal: Solar Energy
Data-free Defense of Black Box Models against Adversarial Attacks
2024
Gaurav Kumar Nayak, Inder Khatri, Ruchit Rawal, and Anirban Chakraborty | IEEE/CVF
Journal: Computer Vision and Pattern Recognition Workshop (CVPRW) on Fair, Data-efficient, and Trusted Computer Vision
Robust Few-Shot Learning without using any Adversarial Sample
2024
Gaurav Kumar Nayak, Ruchit Rawal, Inder Khatri, and Anirban Chakraborty | IEEE
Journal: IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
2024
M Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, and Anirban Chakraborty | IEEE/CVF
Journal: Winter Conference on Applications of Computer Vision (WACV)
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
2023
Vicente Vivanco Cepeda, Gaurav Kumar Nayak, Mubarak Shah | The MIT Press
Journal: Neural Information Processing Systems (NeurIPS)
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers
2023
Gaurav Kumar Nayak, Ruchit Rawal, and Anirban Chakraborty | IEEE/CVF
Journal: Winter Conference on Applications of Computer Vision (WACV)
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks
2023
Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter Schüffler, and Nassir Navab | Springer
Journal: MICCAI Workshop on Distributed, Collaborative and Federated Learning (DeCaF)
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
2022
Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, and Anirban Chakraborty | IEEE/CVF
Journal: Computer Vision and Pattern Recognition Workshop (CVPRW) on Human-centered Intelligent Services Safety and Trustworthy (HCIS)
DAD: Data-free Adversarial Defense at Test Time
2022
Gaurav Kumar Nayak, Ruchit Rawal, and Anirban Chakraborty | IEEE/CVF
Journal: Winter Conference on Applications of Computer Vision (WACV)
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data
2021
Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, and Anirban Chakraborty | IEEE
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation
2021
Gaurav Kumar Nayak, Konda Reddy Mopuri, and Anirban Chakraborty | IEEE/CVF
Journal: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Beyond Classification: Knowledge Distillation using Multi-Object Impressions
2021
Gaurav Kumar Nayak, Monish Keswani, Sharan Seshadri, and Anirban Chakraborty | The British Machine Vision Association
Journal: British Machine Vision Conference (BMVC)
Incremental Learning for Animal Pose Estimation using RBF k-DPP
2021
Gaurav Kumar Nayak, Het Shah, and Anirban Chakraborty | The British Machine Vision Association
Journal: British Machine Vision Conference (BMVC)
DeGAN: Data-enriching GAN for retrieving representative samples from a trained classifier
2020
Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, and R. Venkatesh Babu | Association for the Advancement of Artificial Intelligence - MIT Press
Journal: AAAI Conference on Artificial Intelligence
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images
2020
Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, and Anirban Chakraborty | IEEE
Journal: IEEE International Conference on Multimedia Big Data (BigMM)
Zero-Shot Knowledge Distillation in Deep Networks
2019
Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, and Anirban Chakraborty | Proceedings of Machine Learning Research
Journal: International Conference on Machine Learning (ICML)
Efficient Person Re-identification in videos using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)
2019
Gaurav Kumar Nayak, Utkarsh Shreemali, R Venkatesh Babu, and Anirban Chakraborty | IEEE
Journal: IEEE International Conference on Image Processing (ICIP)
Development and comparative analysis of fuzzy inference systems for predicting customer buying behavior
2013
Gaurav Kumar Nayak, Swathi J Narayanan, Ilango Paramasivam | IJET
Journal: International Journal of Engineering and Technology
Teaching Engagements
Students
Miscellaneous
