Shreyank N. Gowda

According to our database, Shreyank N. Gowda authored at least 56 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Prompt Injection Detection is Regime-Dependent: A Deployment-Aware Evaluation with Interpretable Structural Signals.

Akindoyin Akinrele, Shreyank N. Gowda

CoRR, May, 2026

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons.

Wei Tang, Jinpei Han, Kangning Cui, Mattia Carletti, Fredrik K. Gustafsson, Shreyank N. Gowda, Patitapaban Palo, Anshul Thakur, Lei A. Clifton, Jean-Michel Morel, Raymond H. Chan, David A. Clifton, Xiao Gu

CoRR, May, 2026

SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning.

Hezhao Liu, Jiacheng Yang, Junlong Gao, Mengke Li, Yiqun Zhang, Shreyank N. Gowda, Yang Lu

CoRR, April, 2026

An Empirical Study of Multi-Generation Sampling for Jailbreak Detection in Large Language Models.

Hanrui Luo, Shreyank N. Gowda

CoRR, April, 2026

Veritas-RPM: Provenance-Guided Multi-Agent False Positive Suppression for Remote Patient Monitoring.

Aswini Misro, Vikash Sharma, Shreyank N. Gowda

CoRR, April, 2026

Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks.

Amar Gahir, Varshil Patel, Shreyank N. Gowda

CoRR, April, 2026

Compression as an Adversarial Amplifier Through Decision Space Reduction.

Lewis Evans, Harkrishan Jandu, Zihan Ye, Yang Lu, Shreyank N. Gowda

CoRR, April, 2026

Low-Effort Jailbreak Attacks Against Text-to-Image Safety Filters.

Ahmed B. Mustafa, Zihan Ye, Yang Lu, Michael P. Pound, Shreyank N. Gowda

CoRR, April, 2026

ZeroDiff++: Substantial Unseen Visual-semantic Correlation in Zero-shot Learning.

Zihan Ye, Shreyank N. Gowda, Kaile Du, Weijian Luo, Ling Shao

CoRR, February, 2026

Twin trigger generative networks for backdoor attacks against real-time object detection.

Zhiying Li, Zhi Liu, Guanggang Geng, Shreyank N. Gowda, Shuyuan Lin, Jian Weng, Xiao-Bo Jin

Appl. Soft Comput., 2026

2025

Adversarial Robustness in Zero-Shot Learning:An Empirical Study on Class and Concept-Level Vulnerabilities.

Zhiyuan Peng, Zihan Ye, Shreyank N. Gowda, Yuping Yan, Haotian Xu, Ling Shao

CoRR, December, 2025

Anyone Can Jailbreak: Prompt-Based Attacks on LLMs and T2Is.

Ahmed B. Mustafa, Zihan Ye, Yang Lu, Michael P. Pound, Shreyank N. Gowda

CoRR, July, 2025

Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals.

Xiao Gu, Wei Tang, Jinpei Han, Veer Sangha, Fenglin Liu, Shreyank N. Gowda, Antônio H. Ribeiro, Patrick Schwab, Kim Branson, Lei A. Clifton, Antonio Luiz P. Ribeiro, Zhangdaihong Liu, David A. Clifton

CoRR, July, 2025

Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training.

Shriram M. S, Xinyue Hao, Shihao Hou, Yang Lu, Laura Sevilla-Lara, Anurag Arnab, Shreyank N. Gowda

CoRR, May, 2025

Interpretable Zero-shot Learning with Infinite Class Concepts.

Zihan Ye, Shreyank N. Gowda, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin

CoRR, May, 2025

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model.

Shihao Hou, Xinyi Shang, Shreyank N. Gowda, Yang Lu, Chao Wu, Yan Yan, Hanzi Wang

CoRR, March, 2025

Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation.

Boyan Gao, Bo Zhao, Shreyank N. Gowda, Xingrun Xing, Yibo Yang, Timothy M. Hospedales, David A. Clifton

CoRR, February, 2025

Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster.

Shriram M. S, Xinyue Hao, Shihao Hou, Yang Lu, Laura Sevilla-Lara, Anurag Arnab, Shreyank N. Gowda

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data.

Hezhao Liu, Yang Lu, Mengke Li, Yiqun Zhang, Shreyank N. Gowda, Chen Gong, Hanzi Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Distribution-Based Masked Medical Vision-Language Model Using Structured Reports.

Shreyank N. Gowda, Ruichi Zhang, Xiao Gu, Ying Weng, Lu Yang

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2025

Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval.

Shreyank N. Gowda, Xiaobo Jin, Christian Wagner

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2025

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning.

Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Case for the Use of Chroma Cartesian Colour Representations for Image Classification on Plant-Based Domains.

Alexis J. S. Payne, Gail Hopkins, Shreyank N. Gowda, Isaac Trigucro, Michael P. Pound

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Principles of Visual Tokens for Efficient Video Understanding.

Xinyue Hao, Gen Li, Shreyank N. Gowda, Robert B. Fisher, Jonathan Huang, Anurag Arnab, Laura Sevilla-Lara

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Is Temporal Prompting All We Need For Limited Labeled Action Recognition?

Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiao-Bo Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Twin Trigger Generative Networks for Backdoor Attacks against Object Detection.

Zhiying Li, Zhi Liu, Guanggang Geng, Shreyank N. Gowda, Shuyuan Lin, Jian Weng, Xiaobo Jin

CoRR, 2024

Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models.

Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang

CoRR, 2024

Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques.

Shreyank N. Gowda, Yash Thakre, Shashank Narayana Gowda, Xiaobo Jin

CoRR, 2024

Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring.

Shreyank N. Gowda, David A. Clifton

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts.

Kiyoon Kim, Shreyank N. Gowda, Panagiotis Eustratiadis, Antreas Antoniou, Robert B. Fisher

Proceedings of the Pattern Recognition and Artificial Intelligence, 2024

FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos.

Shreyank N. Gowda, Boyan Gao, David A. Clifton

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Watt for What: Rethinking Deep Learning's Energy-Performance Relationship.

Shreyank N. Gowda, Xinyue Hao, Gen Li, Shashank Narayana Gowda, Xiaobo Jin, Laura Sevilla-Lara

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation.

Shreyank N. Gowda, David A. Clifton

Proceedings of the Computer Vision - ECCV 2024, 2024

Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition.

Shreyank N. Gowda, Anurag Arnab, Jonathan Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning.

Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin

Proceedings of the Computer Vision - ACCV 2024, 2024

Telling Stories for Common Sense Zero-Shot Action Recognition.

Shreyank N. Gowda, Laura Sevilla-Lara

Proceedings of the Computer Vision - ACCV 2024, 2024

Continual Learning Improves Zero-Shot Action Recognition.

Shreyank N. Gowda, Davide Moltisanti, Laura Sevilla-Lara

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Watt For What: Rethinking Deep Learning's Energy-Performance Relationship.

Shreyank N. Gowda, Xinyue Hao, Gen Li, Laura Sevilla-Lara, Shashank Narayana Gowda

CoRR, 2023

From Pixels to Portraits: A Comprehensive Survey of Talking Head Generation Techniques and Applications.

Shreyank N. Gowda, Dheeraj Pandey, Shashank Narayana Gowda

CoRR, 2023

Optimizing ViViT Training: Time and Memory Reduction for Action Recognition.

Shreyank N. Gowda, Anurag Arnab, Jonathan Huang

CoRR, 2023

Synthetic Sample Selection for Generalized Zero-Shot Learning.

Shreyank N. Gowda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition.

Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach

Proceedings of the Computer Vision - ECCV 2022, 2022

Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition.

Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara

Proceedings of the Computer Vision - ECCV 2022, 2022

Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition.

Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos.

Anil Batra, Shreyank N. Gowda, Frank Keller, Laura Sevilla-Lara

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Test Framework for a Virtual Competition Testbed.

Liam Wellacott, Emilyann Nault, Ioannis Skottis, Alexandre Colle, Shreyank N. Gowda, Pierre Nicolay, Emily Rolley-Parnell

CoRR, 2021

A New Split for Evaluating True Zero-Shot Action Recognition.

Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

SMART Frame Selection for Action Recognition.

Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Using an ensemble color space model to tackle adversarial examples.

Shreyank N. Gowda, Chun Yuan

CoRR, 2020

StegColNet: Steganalysis Based on an Ensemble Colorspace Approach.

Shreyank N. Gowda, Chun Yuan

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

ALBA: Reinforcement Learning for Video Object Segmentation.

Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2018

ColorNet: Investigating the Importance of Color Spaces for Image Classification.

Shreyank N. Gowda, Chun Yuan

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Human Activity Recognition Using Combinatorial Deep Belief Networks.

Shreyank N. Gowda

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Age Estimation by LS-SVM Regression on Facial Images.

Shreyank N. Gowda

Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Fiducial Points Detection of a Face Using RBF-SVM and Adaboost Classification.

Shreyank N. Gowda

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

An advanced Diffie-Hellman approach to image steganography.

Shreyank N. Gowda

Proceedings of the 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems, 2016