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Vivek Sharma

16 papers hereh-index 212.4k citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author7

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • cs.LG2
same name
  • Vivek Sharma — 128 papers
  • Vivek Sharma — 7 papers, h 6
  • Vivek Sharma — 3 papers, h 3
  • Vivek Sharma — 2 papers, h 1
  • Vivek Sharma — 2 papers, h 1
  • Vivek Sharma — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162021
most citedTemporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification

187 citations · 221 across the 8 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020

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…

cs.LG2020

SplitNN-driven Vertical Partitioning

Iker Ceballos, Vivek Sharma, Eduardo Mugica +4

In this work, we introduce SplitNN-driven Vertical Partitioning, a configuration of a distributed deep learning method called SplitNN to facilitate learning from vertically distrib…

cs.CV2020★ 6 cited

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…

cs.CV2020

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,…

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