Search Results for author: Bruno Korbar

Found 6 papers, 2 papers with code

Video Understanding as Machine Translation

no code implementations12 Jun 2020 Bruno Korbar, Fabio Petroni, Rohit Girdhar, Lorenzo Torresani

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 video representations.

Machine Translation Metric Learning +5

Self-Supervised Learning by Cross-Modal Audio-Video Clustering

1 code implementation NeurIPS 2020 Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran

To the best of our knowledge, XDC is the first self-supervised learning method that outperforms large-scale fully-supervised pretraining for action recognition on the same architecture.

Audio Classification Deep Clustering +4

SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition

no code implementations ICCV 2019 Bruno Korbar, Du Tran, Lorenzo Torresani

We demonstrate that the computational cost of action recognition on untrimmed videos can be dramatically reduced by invoking recognition only on these most salient clips.

Action Recognition

Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images

no code implementations5 Mar 2017 Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Katherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour

In this work, we built an automatic image-understanding method that can accurately classify different types of colorectal polyps in whole-slide histology images to help pathologists with histopathological characterization and diagnosis of colorectal polyps.

Classification General Classification +1

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