Selected Publications

1. Shriram M S, Xinyue Hao, Shihao Hou, Yang Lu, Laura Sevilla-Lara, Anurag Arnab, and Shreyank N Gowda. "Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training." The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS) 2025. [Paper]

2. Xinyue Hao, Gen Li, Shreyank N Gowda, Robert B. Fisher, Jonathan Huang, Anurag Arnab, and Laura Sevilla-Lara. "Principles of Visual Tokens for Efficient Video Understanding." International Conference on Computer Vision (ICCV) 2025. [Paper]

3. Hezhao Liu, Yang Lu, Mengke Li, Yiqun Zhang, Shreyank N Gowda, Chen Gong, and Hanzi Wang. "FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data." ACM International Conference on Multimedia (ACM-MM) (2025). [Paper]

4. Shreyank N Gowda, Ruichi Zhang, Xiao Gu, Ying Weng, Lu Yang. “Distribution-Based Masked Medical Vision-Language Model Using Structured Reports”, Medical Image Computing and Computer Assisted Intervention Workshops (MICCAI-W) 2025 (Oral). [Paper]

5. Shreyank N Gowda, Xiaobo Jin, Christian Wagner. “Prototype-Enhanced Confidence Modeling for Robust Cross-Modal Medical Image-Report Retrieval”, Medical Image Computing and Computer Assisted Intervention Workshops (MICCAI-W) 2025. [Paper] 

6. Shreyank N Gowda, Boyan Gao, Xiao Gu, Xiabo Jin, “Is Temporal Prompting All We Need For Limited Labeled Action Recognition?”, Computer Vision and Pattern Recognition Workshops (CVPRW) 2025 (Oral). [Paper] 

7. Zihan Ye, Shreyank N Gowda, Shiming Chen, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, “ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning”, ICLR 2025. [Paper] 

8. Shreyank N Gowda, Laura Sevilla-Lara, “Telling Stories for Common Sense Zero-Shot Action Recognition”, ACCV 2024. [Paper]

9. Shreyank N Gowda, Davide Moltisanti, Laura Sevilla-Lara, “Continual Learning Improves Zero-Shot Action Recognition”, ACCV 2024. [Paper]

10. 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 2024. [Paper]

11. Shreyank N Gowda, Anurag Arnab, Jonathan Huang, “Optimizing ViViT Training: Time and Memory Reduction for Action Recognition”, European Conference on Computer Vision (ECCV) 2024. [Paper]

12. Shreyank N Gowda, David Clifton, “CC-SAM: Enhancing SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation”, European Conference on Computer Vision (ECCV) 2024. [Paper]

13. Shreyank N Gowda, Xinyue Hao, Gen Li, Shashank N Gowda, Xiaobo Jin, Laura Sevilla-Lara, “Watt for What: Rethinking Deep Learning’s Energy Performance Divide”, European Conference on Computer Vision Workshops (ECCVW) 2024 [Paper]

14. Shreyank N Gowda, David Clifton, “Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring”, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024. [Paper]

15. Shreyank N Gowda, Boyan Gao, David Clifton, “FE-Adapter: Adapting Image-based Emotion Classifiers to Videos”, International Conference on Automatic Face and Gesture Recognition (FG) 2024. [Paper]

16. Shreyank N Gowda, “Synthetic Sample Selection for Generalized Zero-Shot Learning”, Computer Vision and Pattern Recognition Workshops (CVPRW) 2023. [Paper]

17. Shreyank N Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara, “Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition”, European Conference on Computer Vision (ECCV) 2022. [Paper, Project Page]

18. Shreyank N Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach, “Claster: Clustering with Reinforcement Learning for Zero-Shot Action Recognition”, European Conference on Computer Vision (ECCV) 2022. [Paper, Project Page]

19. Kiyoon Kim, Shreyank N Gowda, Oisin MacAodha, Laura Sevilla-Lara, “Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition”, British Machine Vision Conference (BMVC) 2022. [Paper, Project Page]

20. Anil Batra, Shreyank N Gowda, Frank Keller, Laura Sevilla-Lara, “A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos”, British Machine Vision Conference (BMVC) 2022. [Paper]

21. Shreyank N Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach, “A New Split for Evaluating True Zero-shot Action Recognition”, German Conference on Pattern Recognition (GCPR) 2021. [Paper, Project Page]

22. Shreyank N Gowda, Marcus Rohrbach, Laura Sevilla-Lara, “SMART Frame Selection for Action Recognition”, AAAI Conference on Artificial Intelligence (AAAI) 2021. [Paper, Project Page]

23. Shreyank N Gowda*, Panagiotis Eustratiadis*, Timothy Hospedales, Laura Sevilla-Lara, “ALBA: Reinforcement Learning for Zero Shot VOS”, British Machine Vision Conference (BMVC) 2020. [Paper, Project Page]

24. Shreyank N Gowda, Chun Yuan, “ColorNet: Investigating the importance of color spaces for image classification”, Asian Conference on Computer Vision (ACCV) 2018. [Paper]