An advanced Diffie-Hellman approach to image steganography. - Shreyank N. Gowda (ANTS, 2016)

Fiducial Points Detection of a Face Using RBF-SVM and Adaboost Classification. - Shreyank N. Gowda (ACCV Workshops (1), 2016)

Age Estimation by LS-SVM Regression on Facial Images. - Shreyank N. Gowda (ISVC (2), 2016)

Human Activity Recognition Using Combinatorial Deep Belief Networks. - Shreyank N. Gowda (CVPR Workshops, 2017)

ColorNet: Investigating the Importance of Color Spaces for Image Classification. - Shreyank N. Gowda; Chun Yuan (ACCV (4), 2018)

ALBA: Reinforcement Learning for Video Object Segmentation. - Shreyank N. Gowda; Panagiotis Eustratiadis; Timothy M. Hospedales; Laura Sevilla-Lara (BMVC, 2020)

StegColNet: Steganalysis Based on an Ensemble Colorspace Approach. - Shreyank N. Gowda; Chun Yuan (S+SSPR, 2020)

Using an ensemble color space model to tackle adversarial examples. - Shreyank N. Gowda; Chun Yuan (CoRR, 2020)

SMART Frame Selection for Action Recognition. - Shreyank N. Gowda; Marcus Rohrbach; Laura Sevilla-Lara (AAAI, 2021)

A New Split for Evaluating True Zero-Shot Action Recognition. - Shreyank N. Gowda; Laura Sevilla-Lara; Kiyoon Kim; Frank Keller; Marcus Rohrbach (GCPR, 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 Closer Look at Temporal Ordering in the Segmentation of Instructional Videos. - Anil Batra; Shreyank N. Gowda; Frank Keller; Laura Sevilla-Lara (BMVC, 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 (BMVC, 2022)

Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. - Shreyank N. Gowda; Marcus Rohrbach; Frank Keller; Laura Sevilla-Lara (ECCV (31), 2022)

CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. - Shreyank N. Gowda; Laura Sevilla-Lara; Frank Keller; Marcus Rohrbach (ECCV (20), 2022)

Synthetic Sample Selection for Generalized Zero-Shot Learning. - Shreyank N. Gowda (CVPR Workshops, 2023)

Optimizing ViViT Training: Time and Memory Reduction for Action Recognition. - Shreyank N. Gowda; Anurag Arnab; Jonathan Huang (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)

Watt For What: Rethinking Deep Learning's Energy-Performance Relationship. - Shreyank N. Gowda; Xinyue Hao; Gen Li 008; Laura Sevilla-Lara; Shashank Narayana Gowda (CoRR, 2023)

Continual Learning Improves Zero-Shot Action Recognition. - Shreyank N. Gowda; Davide Moltisanti; Laura Sevilla-Lara (ACCV (3), 2024)

Telling Stories for Common Sense Zero-Shot Action Recognition. - Shreyank N. Gowda; Laura Sevilla-Lara (ACCV (3), 2024)

Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning. - Chong Zhang 006; Mingyu Jin; Qinkai Yu; Haochen Xue; Shreyank N. Gowda; Xiaobo Jin (ACCV (8), 2024)

Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition. - Shreyank N. Gowda; Anurag Arnab; Jonathan Huang (ECCV (10), 2024)

CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation. - Shreyank N. Gowda; David A. Clifton (ECCV (45), 2024)

Watt for What: Rethinking Deep Learning's Energy-Performance Relationship. - Shreyank N. Gowda; Xinyue Hao; Gen Li 008; Shashank Narayana Gowda; Xiaobo Jin; Laura Sevilla-Lara (ECCV Workshops (22), 2024)

FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos. - Shreyank N. Gowda; Boyan Gao; David A. Clifton (FG, 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 (ICPRAI (1), 2024)

Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. - Shreyank N. Gowda; David A. Clifton (MICCAI (11), 2024)

Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques. - Shreyank N. Gowda; Yash Thakre; Shashank Narayana Gowda; Xiaobo Jin (CoRR, 2024)

Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models. - Zihan Ye; Shreyank N. Gowda; Xiaobo Jin; Xiaowei Huang 001; Haotian Xu; Yaochu Jin; Kaizhu Huang (CoRR, 2024)

Principles of Visual Tokens for Efficient Video Understanding. - Xinyue Hao; Gen Li 008; Shreyank N. Gowda; Robert B. Fisher; Jonathan Huang; Anurag Arnab; Laura Sevilla-Lara (CoRR, 2024)

Twin Trigger Generative Networks for Backdoor Attacks against Object Detection. - Zhiying Li 003; Zhi Liu; Guanggang Geng; Shreyank N. Gowda; Shuyuan Lin; Jian Weng 001; Xiaobo Jin (CoRR, 2024)

Is Temporal Prompting All We Need For Limited Labeled Action Recognition? - Shreyank N. Gowda; Boyan Gao; Xiao Gu 003; Xiao-Bo Jin (CVPR Workshops, 2025)

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. - Zihan Ye; Shreyank N. Gowda; Shiming Chen 002; Xiaowei Huang 001; Haotian Xu; Fahad Shahbaz Khan; Yaochu Jin; Kaizhu Huang; Xiaobo Jin (ICLR, 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, 2025)

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model. - Shihao Hou; Xinyi Shang; Shreyank N. Gowda; Yang Lu 009; Chao Wu 001; Yan Yan; Hanzi Wang (CoRR, 2025)

FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data. - Hezhao Liu; Yang Lu 009; Mengke Li 001; Yiqun Zhang 006; Shreyank N. Gowda; Chen Gong; Hanzi Wang (CoRR, 2025)

Interpretable Zero-shot Learning with Infinite Class Concepts. - Zihan Ye; Shreyank N. Gowda; Shiming Chen 002; Yaochu Jin; Kaizhu Huang; Xiaobo Jin (CoRR, 2025)

Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training. - Shriram M. S; Xinyue Hao; Shihao Hou; Yang Lu 009; Laura Sevilla-Lara; Anurag Arnab; Shreyank N. Gowda (CoRR, 2025)

Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals. - Xiao Gu 003; Wei Tang; Jinpei Han; Veer Sangha; Fenglin Liu; Shreyank N. Gowda; Antônio H. Ribeiro; Patrick Schwab; Kim Branson 001; Lei A. Clifton; Antonio Luiz P. Ribeiro; Zhangdaihong Liu; et al. (CoRR, 2025)

Distribution-Based Masked Medical Vision-Language Model Using Structured Reports. - Shreyank N. Gowda; Ruichi Zhang; Xiao Gu 003; Ying Weng; Lu Yang (CoRR, 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, 2025)

Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval. - Shreyank N. Gowda; Xiaobo Jin; Christian Wagner (CoRR, 2025)