Publications

Semantic Action Graph: A Shared Representation for Agent Grounding and Human Interpretation of Sports Highlights

T. Lin, D. Chandran, G. Jagatap, C. Chen, A. Fanelli, D. Gunawan, J. Kimball

IEEE VIS Workshop on GenAI, Agents, and the Future of VIS, 2026

OnPoint: Offline-to-Online Multi-Level Distillation for Point-Supervised Online Temporal Action Localization

S. Reza, G. Jagatap, M. Moghaddam, O. Camps, A. Fanelli

European Conference on Computer Vision, 2026

Video2Reaction: Training Foundation Video Models to Predict Audience Reaction

T. Nguyen, S. Zhang, S. Shankar, G. Jagatap, D. Chandran, A. Fanelli, M. Fiterau

European Conference on Computer Vision, 2026Also at the CVPR 2026 Workshop on Emerging Directions in Data for Multimodal Foundation Models

Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings

A. Agrawal, G. KV, R. Aralikatti, G. Jagatap, J. Yuan, S. Baskar, V. Kamarshi, A. Fanelli, F. Huang

Findings of the Association for Computational Linguistics, 2026Also at the ICLR 2026 Workshop on Multimodal Intelligence

SCOUT: Segment Curation for Optimal Understanding of Long-Form Videos

A. Majee, G. Jagatap, D. Chandran, R. Iyer, A. Fanelli

Moment Sampling in Video LLMs for Long-Form VQA

M. Chasmai, G. Jagatap, G. KV, G. Van Horn, S. Maji, A. Fanelli

CVPR Workshop on Video Large Language Models, 2025

A Few Adversarial Tokens Can Break Vision Transformers

A. Joshi, S. Akula, G. Jagatap, C. Hegde

CVPR Workshop on Adversarial Machine Learning on Computer Vision, 2023

Can Deepfakes be created on a whim?

P. Mehta, G. Jagatap, K. Gallagher, B. Timmerman, P. Deb, S. Garg, R. Greenstadt, B. Dolan-Gavitt

International Workshop on Cyber Social Threats (CySoc), ACM Web Conference, 2023

Adversarial Token Attacks on Vision Transformers

A. Joshi, G. Jagatap, C. Hegde

CVPR Workshop on Transformers for Vision, 2022

Provable Compressed Sensing with Generative Priors via Langevin Dynamics

T. Nguyen, G. Jagatap, C. Hegde

IEEE Transactions on Information Theory, 2022

Inverse Imaging with Generative Priors via Langevin Dynamics

T. Nguyen, G. Jagatap, C. Hegde

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022

Adversarially Robust Learning via Entropic Regularization

G. Jagatap, A. Joshi, A. Chowdhury, S. Garg, C. Hegde

Frontiers in Artificial Intelligence, 2021Also at the ICML 2021 Workshop on Adversarial Machine Learning

High Dynamic Range Imaging using Deep Image Priors

G. Jagatap, C. Hegde

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020

Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors

G. Jagatap, C. Hegde

Advances in Neural Information Processing Systems, 2019Acceptance rate: 21.18%

Phase Retrieval using Untrained Neural Network Priors

G. Jagatap, C. Hegde

NeurIPS Workshop on Solving Inverse Problems with Deep Neural Networks, 2019

Linearly Convergent Algorithms for Learning Shallow Residual Networks

G. Jagatap, C. Hegde

IEEE International Symposium on Information Theory, 2019

Sample Efficient Fourier Ptychography for Structured Data

G. Jagatap, Z. Chen, S. Nayer, C. Hegde, N. Vaswani

IEEE Transactions on Computational Imaging, 2019

Sample Efficient Algorithms for Recovering Structured Signals from Magnitude-Only Measurements

G. Jagatap, C. Hegde

IEEE Transactions on Information Theory, 2019

Model Corrected Low Rank Ptychography

G. Jagatap, Z. Chen, C. Hegde, N. Vaswani

IEEE International Conference on Image Processing, 2018

Towards Sample-Optimal Methods for Solving Random Quadratic Equations with Structure

G. Jagatap, C. Hegde

IEEE International Symposium on Information Theory, 2018

Sub-diffraction Imaging using Fourier Ptychography and Structured Sparsity

G. Jagatap, Z. Chen, C. Hegde, N. Vaswani

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018Oral presentation

Low Rank Fourier Ptychography

Z. Chen, G. Jagatap, S. Nayer, C. Hegde, N. Vaswani

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018

Fast, Sample Efficient Algorithms for Structured Phase Retrieval

G. Jagatap, C. Hegde

Advances in Neural Information Processing Systems, 2017Acceptance rate: 20.93%