research
∙
08/30/2023
From Pixels to Portraits: A Comprehensive Survey of Talking Head Generation Techniques and Applications
Recent advancements in deep learning and computer vision have led to a s...
share
research
∙
06/07/2023
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition
In this paper, we address the challenges posed by the substantial traini...
research
∙
04/06/2023
Synthetic Sample Selection for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) has emerged as a pivotal research ...
research
∙
06/09/2022
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition
We address the problem of data augmentation for video action recognition...
research
∙
01/25/2022
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition
We address the problem of capturing temporal information for video class...
research
∙
07/27/2021
A New Split for Evaluating True Zero-Shot Action Recognition
Zero-shot action recognition is the task of classifying action categorie...
research
∙
07/01/2021
Test Framework for a Virtual Competition Testbed
Virtual environments have been utilised in robotics research as a tool t...
research
∙
01/18/2021
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition
Zero-shot action recognition is the task of recognizing action classes w...
research
∙
12/19/2020
SMART Frame Selection for Action Recognition
Action recognition is computationally expensive. In this paper, we addre...
research
∙
05/26/2020
ALBA : Reinforcement Learning for Video Object Segmentation
We consider the challenging problem of zero-shot video object segmentati...
research
∙
03/10/2020
Using an ensemble color space model to tackle adversarial examples
Minute pixel changes in an image drastically change the prediction that ...
research
∙
02/06/2020
StegColNet: Steganalysis based on an ensemble colorspace approach
Image steganography refers to the process of hiding information inside i...
research
∙
02/01/2019