| 2025 | CVPR | Is Temporal Prompting All We Need For Limited Labeled Action Recognition? | Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiao-Bo Jin |
| 2025 | ICCV | Principles of Visual Tokens for Efficient Video Understanding. | Xinyue Hao, Gen Li, Shreyank N. Gowda, Robert B. Fisher, Jonathan Huang, Anurag Arnab, Laura Sevilla-Lara |
| 2025 | ICCV | A Case for the Use of Chroma Cartesian Colour Representations for Image Classification on Plant-Based Domains. | Alexis J. S. Payne, Gail Hopkins, Shreyank N. Gowda, Isaac Trigucro, Michael P. Pound |
| 2025 | ICLR | ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. | Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin |
| 2025 | MICCAI | Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval. | Shreyank N. Gowda, Xiaobo Jin, Christian Wagner |
| 2025 | MICCAI | Distribution-Based Masked Medical Vision-Language Model Using Structured Reports. | Shreyank N. Gowda, Ruichi Zhang, Xiao Gu, Ying Weng, Lu Yang |
| 2024 | ACCV | Continual Learning Improves Zero-Shot Action Recognition. | Shreyank N. Gowda, Davide Moltisanti, Laura Sevilla-Lara |
| 2024 | ACCV | Telling Stories for Common Sense Zero-Shot Action Recognition. | Shreyank N. Gowda, Laura Sevilla-Lara |
| 2024 | ACCV | Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning. | Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin |
| 2024 | ECCV | Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition. | Shreyank N. Gowda, Anurag Arnab, Jonathan Huang |
| 2024 | ECCV | CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation. | Shreyank N. Gowda, David A. Clifton |
| 2024 | ECCV | Watt for What: Rethinking Deep Learning's Energy-Performance Relationship. | Shreyank N. Gowda, Xinyue Hao, Gen Li, Shashank Narayana Gowda, Xiaobo Jin, Laura Sevilla-Lara |
| 2024 | MICCAI | Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. | Shreyank N. Gowda, David A. Clifton |
| 2023 | CVPR | Synthetic Sample Selection for Generalized Zero-Shot Learning. | Shreyank N. Gowda |
| 2022 | BMVC | A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos. | Anil Batra, Shreyank N. Gowda, Frank Keller, Laura Sevilla-Lara |
| 2022 | BMVC | Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition. | Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara |
| 2022 | ECCV | Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. | Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara |
| 2022 | ECCV | CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. | Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach |
| 2021 | AAAI | SMART Frame Selection for Action Recognition. | Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara |
| 2020 | BMVC | ALBA: Reinforcement Learning for Video Object Segmentation. | Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara |
| 2020 | SSPR | StegColNet: Steganalysis Based on an Ensemble Colorspace Approach. | Shreyank N. Gowda, Chun Yuan |
| 2018 | ACCV | ColorNet: Investigating the Importance of Color Spaces for Image Classification. | Shreyank N. Gowda, Chun Yuan |
| 2017 | CVPR | Human Activity Recognition Using Combinatorial Deep Belief Networks. | Shreyank N. Gowda |
| 2016 | ACCV | Fiducial Points Detection of a Face Using RBF-SVM and Adaboost Classification. | Shreyank N. Gowda |
| 2016 | ISVC | Age Estimation by LS-SVM Regression on Facial Images. | Shreyank N. Gowda |