22 citations · 32 across the 6 of their papers we have counts for
7 papers · 1 filter
A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos
Anil Batra, Shreyank N Gowda, Frank Keller +1
Understanding the steps required to perform a task is an important skill for AI systems. Learning these steps from instructional videos involves two subproblems: (i) identifying th…
A New Split for Evaluating True Zero-Shot Action Recognition
Shreyank N Gowda, Laura Sevilla-Lara, Kiyoon Kim +2
Zero-shot action recognition is the task of classifying action categories that are not available in the training set. In this setting, the standard evaluation protocol is to use ex…
SMART Frame Selection for Action Recognition
Shreyank N Gowda, Marcus Rohrbach, Laura Sevilla-Lara
Action recognition is computationally expensive. In this paper, we address the problem of frame selection to improve the accuracy of action recognition. In particular, we show that…
ALBA : Reinforcement Learning for Video Object Segmentation
Shreyank N Gowda, Panagiotis Eustratiadis, Timothy Hospedales +1
We consider the challenging problem of zero-shot video object segmentation (VOS). That is, segmenting and tracking multiple moving objects within a video fully automatically, witho…
Using an ensemble color space model to tackle adversarial examples
Shreyank N Gowda, Chun Yuan
Minute pixel changes in an image drastically change the prediction that the deep learning model makes. One of the most significant problems that could arise due to this, for instan…
Using colorization as a tool for automatic makeup suggestion
Shreyank Narayana Gowda
Colorization is the method of converting an image in grayscale to a fully color image. There are multiple methods to do the same. Old school methods used machine learning algorithm…