187 citations · 221 across the 8 of their papers we have counts for
6 papers · 1 filter
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.…
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish +3
In this work we introduce ExpertMatcher, a method for automating deep learning model selection using autoencoders. Specifically, we are interested in performing inference on data s…
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…
Large Scale Holistic Video Understanding
Ali Diba, Mohsen Fayyaz, Vivek Sharma +4
Video recognition has been advanced in recent years by benchmarks with rich annotations. However, research is still mainly limited to human action or sports recognition - focusing…
Self-Supervised Learning of Face Representations for Video Face Clustering
Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz +1
Analyzing the story behind TV series and movies often requires understanding who the characters are and what they are doing. With improving deep face models, this may seem like a s…
Efficient Parameter-free Clustering Using First Neighbor Relations
M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
We present a new clustering method in the form of a single clustering equation that is able to directly discover groupings in the data. The main proposition is that the first neigh…