187 citations · 221 across the 8 of their papers we have counts for
14 papers · 1 filter
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
M. Saquib Sarfraz, Naila Murray, Vivek Sharma +3
Action segmentation refers to inferring boundaries of semantically consistent visual concepts in videos and is an important requirement for many video understanding tasks. For this…
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks
Abhishek Singh, Ayush Chopra, Vivek Sharma +4
Recent deep learning models have shown remarkable performance in image classification. While these deep learning systems are getting closer to practical deployment, the common assu…
Deep Multimodal Feature Encoding for Video Ordering
Vivek Sharma, Makarand Tapaswi, Rainer Stiefelhagen
True understanding of videos comes from a joint analysis of all its modalities: the video frames, the audio track, and any accompanying text such as closed captions. We present a w…
Clustering based Contrastive Learning for Improving Face Representations
Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz +1
A good clustering algorithm can discover natural groupings in data. These groupings, if used wisely, provide a form of weak supervision for learning representations. In this work,…
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish +3
Recently, there has been the development of Split Learning, a framework for distributed computation where model components are split between the client and server (Vepakomma et al.…
DynamoNet: Dynamic Action and Motion Network
Ali Diba, Vivek Sharma, Luc Van Gool +1
In this paper, we are interested in self-supervised learning the motion cues in videos using dynamic motion filters for a better motion representation to finally boost human action…