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ORCIDShreyank N. Gowda
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2020 – today
- 2025
[i26]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)- 2024
- [c22]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 - [c21]Shreyank N. Gowda, Davide Moltisanti, Laura Sevilla-Lara:
Continual Learning Improves Zero-Shot Action Recognition. ACCV (3) 2024: 403-421 - [c20]Shreyank N. Gowda, Laura Sevilla-Lara:
Telling Stories for Common Sense Zero-Shot Action Recognition. ACCV (3) 2024: 454-471 - [c19]Shreyank N. Gowda, David A. Clifton:
CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation. ECCV (45) 2024: 108-124 - [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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