Shreyank N. Gowda

According to our database1, Shreyank N. Gowda authored at least 28 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Continual Learning Improves Zero-Shot Action Recognition.
CoRR, 2024

Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models.
CoRR, 2024

Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques.
CoRR, 2024

Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts.
CoRR, 2024

Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship.
CoRR, 2023

Telling Stories for Common Sense Zero-Shot Action Recognition.
CoRR, 2023

From Pixels to Portraits: A Comprehensive Survey of Talking Head Generation Techniques and Applications.
CoRR, 2023

Optimizing ViViT Training: Time and Memory Reduction for Action Recognition.
CoRR, 2023

Synthetic Sample Selection for Generalized Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Test Framework for a Virtual Competition Testbed.
CoRR, 2021

A New Split for Evaluating True Zero-Shot Action Recognition.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

SMART Frame Selection for Action Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Using an ensemble color space model to tackle adversarial examples.
CoRR, 2020

StegColNet: Steganalysis Based on an Ensemble Colorspace Approach.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

ALBA: Reinforcement Learning for Video Object Segmentation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2018
ColorNet: Investigating the Importance of Color Spaces for Image Classification.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Human Activity Recognition Using Combinatorial Deep Belief Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Age Estimation by LS-SVM Regression on Facial Images.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Fiducial Points Detection of a Face Using RBF-SVM and Adaboost Classification.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

An advanced Diffie-Hellman approach to image steganography.
Proceedings of the 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems, 2016


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