Shreyank N. Gowda

67 papers A* 3A 3B 1Journal 38Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Twin trigger generative networks for backdoor attacks against real-time object detection.
Appl. Soft Comput.
Zhiying Li, Zhi Liu, Guanggang Geng, Shreyank N. Gowda, Shuyuan Lin, Jian Weng, Xiao-Bo Jin
2026 J jnl
ZeroDiff++: Substantial Unseen Visual-semantic Correlation in Zero-shot Learning.
CoRR
Zihan Ye, Shreyank N. Gowda, Kaile Du, Weijian Luo, Ling Shao
2025 — conf
A Case for the Use of Chroma Cartesian Colour Representations for Image Classification on Plant-Based Domains.
ICCVW
Alexis J. S. Payne, Gail Hopkins, Shreyank N. Gowda, Isaac Trigucro, Michael P. Pound
2025 J jnl
Adversarial Robustness in Zero-Shot Learning:An Empirical Study on Class and Concept-Level Vulnerabilities.
CoRR
Zhiyuan Peng, Zihan Ye, Shreyank N. Gowda, Yuping Yan, Haotian Xu, Ling Shao
2025 J jnl
Anyone Can Jailbreak: Prompt-Based Attacks on LLMs and T2Is.
CoRR
Ahmed B. Mustafa, Zihan Ye, Yang Lu, Michael P. Pound, Shreyank N. Gowda
2025 J jnl
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model.
CoRR
Shihao Hou, Xinyi Shang, Shreyank N. Gowda, Yang Lu, Chao Wu, Yan Yan, Hanzi Wang
2025 — conf
Distribution-Based Masked Medical Vision-Language Model Using Structured Reports.
iMIMIC@MICCAI
Shreyank N. Gowda, Ruichi Zhang, Xiao Gu, Ying Weng, Lu Yang
2025 J jnl
Distribution-Based Masked Medical Vision-Language Model Using Structured Reports.
CoRR
Shreyank N. Gowda, Ruichi Zhang, Xiao Gu, Ying Weng, Lu Yang
2025 J jnl
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation.
CoRR
Boyan Gao, Bo Zhao, Shreyank N. Gowda, Xingrun Xing, Yibo Yang, Timothy M. Hospedales, David A. Clifton
2025 A* conf
FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data.
ACM Multimedia
Hezhao Liu, Yang Lu, Mengke Li, Yiqun Zhang, Shreyank N. Gowda, Chen Gong, Hanzi Wang
2025 J jnl
FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data.
CoRR
Hezhao Liu, Yang Lu, Mengke Li, Yiqun Zhang, Shreyank N. Gowda, Chen Gong, Hanzi Wang
2025 J jnl
Interpretable Zero-shot Learning with Infinite Class Concepts.
CoRR
Zihan Ye, Shreyank N. Gowda, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2025 — conf
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?
CVPR Workshops
Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiao-Bo Jin
2025 J jnl
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?
CoRR
Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiaobo Jin
2025 J jnl
Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training.
CoRR
Shriram M. S, Xinyue Hao, Shihao Hou, Yang Lu, Laura Sevilla-Lara, Anurag Arnab, Shreyank N. Gowda
2025 — conf
Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval.
iMIMIC@MICCAI
Shreyank N. Gowda, Xiaobo Jin, Christian Wagner
2025 J jnl
Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval.
CoRR
Shreyank N. Gowda, Xiaobo Jin, Christian Wagner
2025 J jnl
Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals.
CoRR
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
2025 A* conf
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning.
ICLR
Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2024 — conf
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts.
ICPRAI (1)
Kiyoon Kim, Shreyank N. Gowda, Panagiotis Eustratiadis, Antreas Antoniou, Robert B. Fisher
2024 J jnl
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts.
CoRR
Kiyoon Kim, Shreyank N. Gowda, Panagiotis Eustratiadis, Antreas Antoniou, Robert B. Fisher
2024 — conf
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning.
ACCV (8)
Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin
2024 — conf
CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation.
ECCV (45)
Shreyank N. Gowda, David A. Clifton
2024 J jnl
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation.
CoRR
Shreyank N. Gowda, David A. Clifton
2024 — conf
Continual Learning Improves Zero-Shot Action Recognition.
ACCV (3)
Shreyank N. Gowda, Davide Moltisanti, Laura Sevilla-Lara
2024 J jnl
Continual Learning Improves Zero-Shot Action Recognition.
CoRR
Shreyank N. Gowda, Davide Moltisanti, Laura Sevilla-Lara
2024 J jnl
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models.
CoRR
Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang
2024 B conf
FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos.
FG
Shreyank N. Gowda, Boyan Gao, David A. Clifton
2024 J jnl
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos.
CoRR
Shreyank N. Gowda, Boyan Gao, David A. Clifton
2024 — conf
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring.
MICCAI (11)
Shreyank N. Gowda, David A. Clifton
2024 J jnl
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring.
CoRR
Shreyank N. Gowda, David A. Clifton
2024 — conf
Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition.
ECCV (10)
Shreyank N. Gowda, Anurag Arnab, Jonathan Huang
2024 J jnl
Principles of Visual Tokens for Efficient Video Understanding.
CoRR
Xinyue Hao, Gen Li, Shreyank N. Gowda, Robert B. Fisher, Jonathan Huang, Anurag Arnab, Laura Sevilla-Lara
2024 J jnl
Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques.
CoRR
Shreyank N. Gowda, Yash Thakre, Shashank Narayana Gowda, Xiaobo Jin
2024 — conf
Telling Stories for Common Sense Zero-Shot Action Recognition.
ACCV (3)
Shreyank N. Gowda, Laura Sevilla-Lara
2024 J jnl
Twin Trigger Generative Networks for Backdoor Attacks against Object Detection.
CoRR
Zhiying Li, Zhi Liu, Guanggang Geng, Shreyank N. Gowda, Shuyuan Lin, Jian Weng, Xiaobo Jin
2024 — conf
Watt for What: Rethinking Deep Learning's Energy-Performance Relationship.
ECCV Workshops (22)
Shreyank N. Gowda, Xinyue Hao, Gen Li, Shashank Narayana Gowda, Xiaobo Jin, Laura Sevilla-Lara
2023 J jnl
From Pixels to Portraits: A Comprehensive Survey of Talking Head Generation Techniques and Applications.
CoRR
Shreyank N. Gowda, Dheeraj Pandey, Shashank Narayana Gowda
2023 J jnl
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition.
CoRR
Shreyank N. Gowda, Anurag Arnab, Jonathan Huang
2023 — conf
Synthetic Sample Selection for Generalized Zero-Shot Learning.
CVPR Workshops
Shreyank N. Gowda
2023 J jnl
Synthetic Sample Selection for Generalized Zero-Shot Learning.
CoRR
Shreyank N. Gowda
2023 J jnl
Telling Stories for Common Sense Zero-Shot Action Recognition.
CoRR
Shreyank N. Gowda, Laura Sevilla-Lara
2023 J jnl
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship.
CoRR
Shreyank N. Gowda, Xinyue Hao, Gen Li, Laura Sevilla-Lara, Shashank Narayana Gowda
2022 A conf
A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos.
BMVC
Anil Batra, Shreyank N. Gowda, Frank Keller, Laura Sevilla-Lara
2022 J jnl
A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos.
CoRR
Anil Batra, Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller
2022 — conf
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition.
ECCV (20)
Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach
2022 A conf
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition.
BMVC
Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara
2022 J jnl
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition.
CoRR
Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara
2022 — conf
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition.
ECCV (31)
Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara
2022 J jnl
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition.
CoRR
Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara
2021 — conf
A New Split for Evaluating True Zero-Shot Action Recognition.
GCPR
Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach
2021 J jnl
A New Split for Evaluating True Zero-Shot Action Recognition.
CoRR
Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach
2021 J jnl
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition.
CoRR
Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach
2021 A* conf
SMART Frame Selection for Action Recognition.
AAAI
Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara
2021 J jnl
Test Framework for a Virtual Competition Testbed.
CoRR
Liam Wellacott, Emilyann Nault, Ioannis Skottis, Alexandre Colle, Shreyank N. Gowda, Pierre Nicolay, Emily Rolley-Parnell
2020 J jnl
ALBA : Reinforcement Learning for Video Object Segmentation.
CoRR
Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara
2020 A conf
ALBA: Reinforcement Learning for Video Object Segmentation.
BMVC
Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara
2020 J jnl
SMART Frame Selection for Action Recognition.
CoRR
Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara
2020 — conf
StegColNet: Steganalysis Based on an Ensemble Colorspace Approach.
S+SSPR
Shreyank N. Gowda, Chun Yuan
2020 J jnl
StegColNet: Steganalysis based on an ensemble colorspace approach.
CoRR
Shreyank N. Gowda, Chun Yuan
2020 J jnl
Using an ensemble color space model to tackle adversarial examples.
CoRR
Shreyank N. Gowda, Chun Yuan
2019 J jnl
ColorNet: Investigating the importance of color spaces for image classification.
CoRR
Shreyank N. Gowda, Chun Yuan
2018 — conf
ColorNet: Investigating the Importance of Color Spaces for Image Classification.
ACCV (4)
Shreyank N. Gowda, Chun Yuan
2017 — conf
Human Activity Recognition Using Combinatorial Deep Belief Networks.
CVPR Workshops
Shreyank N. Gowda
2016 — conf
Age Estimation by LS-SVM Regression on Facial Images.
ISVC (2)
Shreyank N. Gowda
2016 — conf
An advanced Diffie-Hellman approach to image steganography.
ANTS
Shreyank N. Gowda
2016 — conf
Fiducial Points Detection of a Face Using RBF-SVM and Adaboost Classification.
ACCV Workshops (1)
Shreyank N. Gowda