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ORCIDShreyank N. Gowda
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2020 – today
- 2026
[j1]Zhiying Li
, Zhi Liu, Guanggang Geng, Shreyank N. Gowda, Shuyuan Lin, Jian Weng, Xiao-Bo Jin:
Twin trigger generative networks for backdoor attacks against real-time object detection. Appl. Soft Comput. 186: 114200 (2026)- [i49]Zihan Ye, Shreyank N. Gowda, Kaile Du, Weijian Luo, Ling Shao:
ZeroDiff++: Substantial Unseen Visual-semantic Correlation in Zero-shot Learning. CoRR abs/2602.12401 (2026) - [i48]Ahmed B. Mustafa, Zihan Ye, Yang Lu, Michael P. Pound, Shreyank N. Gowda:
Low-Effort Jailbreak Attacks Against Text-to-Image Safety Filters. CoRR abs/2604.01888 (2026) - [i47]Lewis Evans, Harkrishan Jandu, Zihan Ye, Yang Lu, Shreyank N. Gowda:
Compression as an Adversarial Amplifier Through Decision Space Reduction. CoRR abs/2604.06954 (2026) - [i46]Amar Gahir, Varshil Patel, Shreyank N. Gowda:
Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks. CoRR abs/2604.12945 (2026) - [i45]Aswini Misro, Vikash Sharma, Shreyank N. Gowda:
Veritas-RPM: Provenance-Guided Multi-Agent False Positive Suppression for Remote Patient Monitoring. CoRR abs/2604.16081 (2026) - [i44]Hanrui Luo, Shreyank N. Gowda:
An Empirical Study of Multi-Generation Sampling for Jailbreak Detection in Large Language Models. CoRR abs/2604.18775 (2026) - [i43]Hezhao Liu, Jiacheng Yang, Junlong Gao, Mengke Li, Yiqun Zhang, Shreyank N. Gowda, Yang Lu:
SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning. CoRR abs/2604.27596 (2026) - [i42]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:
Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons. CoRR abs/2605.16975 (2026) - [i41]Akindoyin Akinrele, Shreyank N. Gowda:
Prompt Injection Detection is Regime-Dependent: A Deployment-Aware Evaluation with Interpretable Structural Signals. CoRR abs/2605.26999 (2026) - [i40]Ali M. Karaoglu, Shreyank N. Gowda:
Can News Predict the Market? Limits of Zero-Shot Financial NLP and the Role of Explainable AI. CoRR abs/2606.12210 (2026) - [i39]Veerendhra Kumar Dangeti, Xiao Gu, Ying Weng, Shreyank N. Gowda:
Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification. CoRR abs/2606.12252 (2026) - [i38]Arya Hariharan, Shreyank N. Gowda, Anala M. R:
Uncertainty-Aware Longitudinal Forecasting of Alzheimer's Disease Progression Using Deep Learning. CoRR abs/2606.24604 (2026) - [i37]Parth Upman, Shreyank N. Gowda:
QC-SMOTE: Quality-Controlled SMOTE for Imbalanced Classification. CoRR abs/2606.24625 (2026) - 2025
- [c31]Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiao-Bo Jin:
Is Temporal Prompting All We Need For Limited Labeled Action Recognition? CVPR Workshops 2025: 682-692 - [c30]Alexis J. S. Payne, Gail Hopkins, Shreyank N. Gowda, Isaac Trigucro, Michael P. Pound:
A Case for the Use of Chroma Cartesian Colour Representations for Image Classification on Plant-Based Domains. ICCVW 2025: 7187-7196 - [c29]Xinyue Hao, Gen Li, Shreyank N. Gowda, Robert B. Fisher, Jonathan Huang, Anurag Arnab, Laura Sevilla-Lara:
Principles of Visual Tokens for Efficient Video Understanding. ICCV 2025: 21254-21264 - [c28]Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin:
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. ICLR 2025 - [c27]Shreyank N. Gowda, Ruichi Zhang, Xiao Gu, Ying Weng, Lu Yang:
Distribution-Based Masked Medical Vision-Language Model Using Structured Reports. iMIMIC@MICCAI 2025: 1-11 - [c26]Shreyank N. Gowda, Xiaobo Jin, Christian Wagner:
Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval. iMIMIC@MICCAI 2025: 75-84 - [c25]Hezhao Liu, Yang Lu, Mengke Li, Yiqun Zhang, Shreyank N. Gowda, Chen Gong, Hanzi Wang:
FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data. ACM Multimedia 2025: 3153-3162 - [c24]Shriram M. S, Xinyue Hao, Shihao Hou, Yang Lu, Laura Sevilla-Lara, Anurag Arnab, Shreyank N. Gowda:
Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster. NeurIPS 2025 - [i36]Boyan Gao, Bo Zhao, Shreyank N. Gowda, Xingrun Xing, Yibo Yang, Timothy M. Hospedales, David A. Clifton:
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation. CoRR abs/2502.01865 (2025) - [i35]Shihao Hou, Xinyi Shang, Shreyank N. Gowda, Yang Lu, Chao Wu, Yan Yan, Hanzi Wang:
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model. CoRR abs/2503.06993 (2025) - [i34]Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiaobo Jin:
Is Temporal Prompting All We Need For Limited Labeled Action Recognition? CoRR abs/2504.01890 (2025) - [i33]Hezhao Liu, Yang Lu, Mengke Li, Yiqun Zhang, Shreyank N. Gowda, Chen Gong, Hanzi Wang:
FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data. CoRR abs/2504.09828 (2025) - [i32]Zihan Ye, Shreyank N. Gowda, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin:
Interpretable Zero-shot Learning with Infinite Class Concepts. CoRR abs/2505.03361 (2025) - [i31]Shriram M. S, Xinyue Hao, Shihao Hou, Yang Lu, Laura Sevilla-Lara, Anurag Arnab, Shreyank N. Gowda:
Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training. CoRR abs/2505.22342 (2025) - [i30]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:
Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals. CoRR abs/2507.01045 (2025) - [i29]Shreyank N. Gowda, Ruichi Zhang, Xiao Gu, Ying Weng, Lu Yang:
Distribution-Based Masked Medical Vision-Language Model Using Structured Reports. CoRR abs/2507.21794 (2025) - [i28]Ahmed B. Mustafa, Zihan Ye, Yang Lu, Michael P. Pound, Shreyank N. Gowda:
Anyone Can Jailbreak: Prompt-Based Attacks on LLMs and T2Is. CoRR abs/2507.21820 (2025) - [i27]Shreyank N. Gowda, Xiaobo Jin, Christian Wagner:
Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval. CoRR abs/2508.03494 (2025) - [i26]Zhiyuan Peng, Zihan Ye, Shreyank N. Gowda, Yuping Yan, Haotian Xu, Ling Shao:
Adversarial Robustness in Zero-Shot Learning:An Empirical Study on Class and Concept-Level Vulnerabilities. CoRR abs/2512.18651 (2025) - 2024
- [c23]Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin:
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning. ACCV (8) 2024: 246-262 - [c22]Shreyank N. Gowda, Davide Moltisanti, Laura Sevilla-Lara:
Continual Learning Improves Zero-Shot Action Recognition. ACCV (3) 2024: 403-421 - [c21]Shreyank N. Gowda, Laura Sevilla-Lara:
Telling Stories for Common Sense Zero-Shot Action Recognition. ACCV (3) 2024: 454-471 - [c20]Shreyank N. Gowda, David A. Clifton:
CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation. ECCV (45) 2024: 108-124 - [c19]Shreyank N. Gowda, Xinyue Hao, Gen Li, Shashank Narayana Gowda, Xiaobo Jin, Laura Sevilla-Lara:
Watt for What: Rethinking Deep Learning's Energy-Performance Relationship. ECCV Workshops (22) 2024: 388-405 - [c18]Shreyank N. Gowda, Anurag Arnab, Jonathan Huang:
Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition. ECCV (10) 2024: 457-474 - [c17]Shreyank N. Gowda, Boyan Gao, David A. Clifton:
FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos. FG 2024: 1-6 - [c16]Kiyoon Kim, Shreyank N. Gowda, Panagiotis Eustratiadis, Antreas Antoniou, Robert B. Fisher:
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts. ICPRAI (1) 2024: 186-200 - [c15]Shreyank N. Gowda, David A. Clifton:
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. MICCAI (11) 2024: 426-436 - [i25]Kiyoon Kim, Shreyank N. Gowda, Panagiotis Eustratiadis, Antreas Antoniou, Robert B. Fisher:
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts. CoRR abs/2401.11406 (2024) - [i24]Shreyank N. Gowda, Yash Thakre, Shashank Narayana Gowda, Xiaobo Jin:
Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques. CoRR abs/2401.17883 (2024) - [i23]Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang:
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models. CoRR abs/2406.02929 (2024) - [i22]Shreyank N. Gowda, David A. Clifton:
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. CoRR abs/2407.16264 (2024) - [i21]Shreyank N. Gowda, David A. Clifton:
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation. CoRR abs/2408.00181 (2024) - [i20]Shreyank N. Gowda, Boyan Gao, David A. Clifton:
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos. CoRR abs/2408.02421 (2024) - [i19]Shreyank N. Gowda, Davide Moltisanti, Laura Sevilla-Lara:
Continual Learning Improves Zero-Shot Action Recognition. CoRR abs/2410.10497 (2024) - [i18]Xinyue Hao, Gen Li, Shreyank N. Gowda, Robert B. Fisher, Jonathan Huang, Anurag Arnab, Laura Sevilla-Lara:
Principles of Visual Tokens for Efficient Video Understanding. CoRR abs/2411.13626 (2024) - [i17]Zhiying Li, Zhi Liu, Guanggang Geng, Shreyank N. Gowda, Shuyuan Lin, Jian Weng, Xiaobo Jin:
Twin Trigger Generative Networks for Backdoor Attacks against Object Detection. CoRR abs/2411.15439 (2024) - 2023
- [c14]Shreyank N. Gowda:
Synthetic Sample Selection for Generalized Zero-Shot Learning. CVPR Workshops 2023: 58-67 - [i16]Shreyank N. Gowda:
Synthetic Sample Selection for Generalized Zero-Shot Learning. CoRR abs/2304.02846 (2023) - [i15]Shreyank N. Gowda, Anurag Arnab, Jonathan Huang:
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition. CoRR abs/2306.04822 (2023) - [i14]Shreyank N. Gowda, Dheeraj Pandey, Shashank Narayana Gowda:
From Pixels to Portraits: A Comprehensive Survey of Talking Head Generation Techniques and Applications. CoRR abs/2308.16041 (2023) - [i13]Shreyank N. Gowda, Laura Sevilla-Lara:
Telling Stories for Common Sense Zero-Shot Action Recognition. CoRR abs/2309.17327 (2023) - [i12]Shreyank N. Gowda, Xinyue Hao, Gen Li, Laura Sevilla-Lara, Shashank Narayana Gowda:
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship. CoRR abs/2310.06522 (2023) - 2022
- [c13]Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara:
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition. BMVC 2022: 355 - [c12]Anil Batra, Shreyank N. Gowda, Frank Keller, Laura Sevilla-Lara:
A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos. BMVC 2022: 669 - [c11]Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach:
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. ECCV (20) 2022: 187-203 - [c10]Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara:
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. ECCV (31) 2022: 242-259 - [i11]Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara:
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition. CoRR abs/2201.10394 (2022) - [i10]Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara:
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. CoRR abs/2206.04790 (2022) - [i9]Anil Batra, Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller:
A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos. CoRR abs/2209.15501 (2022) - 2021
- [c9]Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara:
SMART Frame Selection for Action Recognition. AAAI 2021: 1451-1459 - [c8]Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach:
A New Split for Evaluating True Zero-Shot Action Recognition. GCPR 2021: 191-205 - [i8]Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach:
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. CoRR abs/2101.07042 (2021) - [i7]Liam Wellacott, Emilyann Nault, Ioannis Skottis, Alexandre Colle, Shreyank N. Gowda, Pierre Nicolay, Emily Rolley-Parnell:
Test Framework for a Virtual Competition Testbed. CoRR abs/2107.00443 (2021) - [i6]Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach:
A New Split for Evaluating True Zero-Shot Action Recognition. CoRR abs/2107.13029 (2021) - 2020
- [c7]Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara:
ALBA: Reinforcement Learning for Video Object Segmentation. BMVC 2020 - [c6]Shreyank N. Gowda, Chun Yuan:
StegColNet: Steganalysis Based on an Ensemble Colorspace Approach. S+SSPR 2020: 313-323 - [i5]Shreyank N. Gowda, Chun Yuan:
StegColNet: Steganalysis based on an ensemble colorspace approach. CoRR abs/2002.02413 (2020) - [i4]Shreyank N. Gowda, Chun Yuan:
Using an ensemble color space model to tackle adversarial examples. CoRR abs/2003.05005 (2020) - [i3]Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara:
ALBA : Reinforcement Learning for Video Object Segmentation. CoRR abs/2005.13039 (2020) - [i2]Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara:
SMART Frame Selection for Action Recognition. CoRR abs/2012.10671 (2020)
2010 – 2019
- 2019
- [i1]Shreyank N. Gowda, Chun Yuan:
ColorNet: Investigating the importance of color spaces for image classification. CoRR abs/1902.00267 (2019) - 2018
- [c5]Shreyank N. Gowda, Chun Yuan:
ColorNet: Investigating the Importance of Color Spaces for Image Classification. ACCV (4) 2018: 581-596 - 2017
- [c4]Shreyank N. Gowda:
Human Activity Recognition Using Combinatorial Deep Belief Networks. CVPR Workshops 2017: 1589-1594 - 2016
- [c3]Shreyank N. Gowda:
An advanced Diffie-Hellman approach to image steganography. ANTS 2016: 1-4 - [c2]Shreyank N. Gowda:
Fiducial Points Detection of a Face Using RBF-SVM and Adaboost Classification. ACCV Workshops (1) 2016: 590-598 - [c1]Shreyank N. Gowda:
Age Estimation by LS-SVM Regression on Facial Images. ISVC (2) 2016: 370-379
Coauthor Index
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last updated on 2026-07-28 00:46 CEST by the dblp team
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