Shreyank N Gowda
Scholar

Shreyank N Gowda

Google Scholar ID: H95HfgIAAAAJ
Assistant Professor at the University of Nottingham
Computer VisionZero-shot LearningGreen AI
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Citations & Impact
All-time
Citations
919
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
25
list available
Contact
Emailshreyank.narayanagowda@nottingham.ac.uk
Publications
11 items
Compression as an Adversarial Amplifier Through Decision Space Reduction
2026
Cited
0
Low-Effort Jailbreak Attacks Against Text-to-Image Safety Filters
2026
Cited
0
ZeroDiff++: Substantial Unseen Visual-semantic Correlation in Zero-shot Learning
2026
Cited
0
Adversarial Robustness in Zero-Shot Learning:An Empirical Study on Class and Concept-Level Vulnerabilities
2025
Cited
0
Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval
2025
Cited
0
Distribution-Based Masked Medical Vision-Language Model Using Structured Reports
2025
Cited
0
Anyone Can Jailbreak: Prompt-Based Attacks on LLMs and T2Is
2025
Cited
0
Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals
2025
Cited
0
Resume (English only)
Academic Achievements
  • 2025: 1 paper accepted at NeurIPS 2025
  • 2025: 2 papers accepted at MICCAI-W 2025
  • 2025: 1 paper accepted at ACM Multimedia 2025
  • 2025: 1 paper accepted at ICCV 2025 and 1 at ICCV-W 2025
  • 2025: 1 paper accepted at CVPR-W 2025
  • 2025: 1 paper accepted at ICLR 2025
  • 2024: 3 papers accepted at ACCV 2024
  • 2024: 2 papers accepted at ECCV 2024 and 1 at ECCV-W 2024
  • 2024: 1 paper accepted at MICCAI 2024
Background
  • Assistant Professor at the University of Nottingham
  • Specializes in deployable computer vision research
  • Focuses on data-efficient and memory-efficient learning methodologies
  • Works with diverse datasets including images, videos, and medical data
  • Research is strongly motivated by human visual perception and learning
  • Expertise in zero-shot, few-shot, and semi-supervised learning
  • Passionate about promoting Green AI initiatives
Co-authors
25 total
Laura Sevilla-Lara
Laura Sevilla-Lara
Reader at University of Edinburgh
Marcus Rohrbach
Marcus Rohrbach
Professor for Multimodal Reliable AI, TU Darmstadt, Germany
Xiao-Bo Jin
Xiao-Bo Jin
Xi'an Jiaotong-Liverpool University
Frank Keller
Frank Keller
University of Edinburgh
Chun Yuan
Chun Yuan
Graduate School at Shenzhen, Tsinghua University
Co-author 6
Co-author 6
David A. Clifton
David A. Clifton
Chair of Clinical Machine Learning, University of Oxford
Co-author 8
Co-author 8