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20132023
most citedIs Space-Time Attention All You Need for Video Understanding?

1.5k citations · 3.1k across the 62 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 7 cited

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification

Jerry Wei, Arief Suriawinata, Bing Ren +10

Applying curriculum learning requires both a range of difficulty in data and a method for determining the difficulty of examples. In many tasks, however, satisfying these requireme…

cs.CV2020★ 2 cited

COBE: Contextualized Object Embeddings from Narrated Instructional Video

Gedas Bertasius, Lorenzo Torresani

Many objects in the real world undergo dramatic variations in visual appearance. For example, a tomato may be red or green, sliced or chopped, fresh or fried, liquid or solid. Trai…

cs.CV2020★ 1 cited

Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation

Yongqin Xian, Bruno Korbar, Matthijs Douze +3

Few-shot learning aims to recognize novel classes from a few examples. Although significant progress has been made in the image domain, few-shot video classification is relatively…

cs.CV2020★ 26 cited

Video Understanding as Machine Translation

Bruno Korbar, Fabio Petroni, Rohit Girdhar +1

With the advent of large-scale multimodal video datasets, especially sequences with audio or transcribed speech, there has been a growing interest in self-supervised learning of vi…

cs.LG2020★ 3 cited

Stein Variational Inference for Discrete Distributions

Jun Han, Fan Ding, Xianglong Liu +3

Gradient-based approximate inference methods, such as Stein variational gradient descent (SVGD), provide simple and general-purpose inference engines for differentiable continuous…