149 citations · 278 across the 55 of their papers we have counts for
6 papers · 1 filter
SVGraph: Learning Semantic Graphs from Instructional Videos
Madeline C. Schiappa, Yogesh S. Rawat
In this work, we focus on generating graphical representations of noisy, instructional videos for video understanding. We propose a self-supervised, interpretable approach that doe…
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline C. Schiappa, Shruti Vyas, Hamid Palangi +2
Joint visual and language modeling on large-scale datasets has recently shown good progress in multi-modal tasks when compared to single modal learning. However, robustness of thes…
Large-scale Robustness Analysis of Video Action Recognition Models
Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam +4
We have seen a great progress in video action recognition in recent years. There are several models based on convolutional neural network (CNN) and some recent transformer based ap…
Self-Supervised Learning for Videos: A Survey
Madeline C. Schiappa, Yogesh S. Rawat, Mubarak Shah
The remarkable success of deep learning in various domains relies on the availability of large-scale annotated datasets. However, obtaining annotations is expensive and requires gr…
Video Action Detection: Analysing Limitations and Challenges
Rajat Modi, Aayush Jung Rana, Akash Kumar +4
Beyond possessing large enough size to feed data hungry machines (eg, transformers), what attributes measure the quality of a dataset? Assuming that the definitions of such attribu…
End-to-End Semi-Supervised Learning for Video Action Detection
Akash Kumar, Yogesh Singh Rawat
In this work, we focus on semi-supervised learning for video action detection which utilizes both labeled as well as unlabeled data. We propose a simple end-to-end consistency base…