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20152026
most citedHowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

926 citations · 1k across the 39 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.RO2020★ 13 cited

Learning Object Manipulation Skills via Approximate State Estimation from Real Videos

Vladimír Petrík, Makarand Tapaswi, Ivan Laptev +1

Humans are adept at learning new tasks by watching a few instructional videos. On the other hand, robots that learn new actions either require a lot of effort through trial and err…

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,…

cs.CV2020

Learning Interactions and Relationships between Movie Characters

Anna Kukleva, Makarand Tapaswi, Ivan Laptev

Interactions between people are often governed by their relationships. On the flip side, social relationships are built upon several interactions. Two strangers are more likely to…

cs.CL2020★ 4 cited

The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries

Atef Chaudhury, Makarand Tapaswi, Seung Wook Kim +1

Understanding stories is a challenging reading comprehension problem for machines as it requires reading a large volume of text and following long-range dependencies. In this paper…