Search Results for author: Romain Vial

Found 2 papers, 0 papers with code

TORNADO: A Spatio-Temporal Convolutional Regression Network for Video Action Proposal

no code implementations ICCV 2017 Hongyuan Zhu, Romain Vial, Shijian Lu

Recently, the regression-based object detectors and long-term recurrent convolutional network (LRCN) have demonstrated superior performance in human action detection and recognition.

Action Detection regression

YoTube: Searching Action Proposal via Recurrent and Static Regression Networks

no code implementations26 Jun 2017 Hongyuan Zhu, Romain Vial, Shijian Lu, Yonghong Tian, Xian-Bin Cao

In this paper, we present YoTube-a novel network fusion framework for searching action proposals in untrimmed videos, where each action proposal corresponds to a spatialtemporal video tube that potentially locates one human action.

Optical Flow Estimation regression

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