Search Results for author: Ronald Poppe

Found 15 papers, 9 papers with code

Multi-Temporal Convolutions for Human Action Recognition in Videos

1 code implementation8 Nov 2020 Alexandros Stergiou, Ronald Poppe

To address this challenge, we present a novel spatio-temporal convolution block that is capable of extracting spatio-temporal patterns at multiple temporal resolutions.

Action Recognition Action Recognition In Videos +2

Learning Class Regularized Features for Action Recognition

no code implementations7 Feb 2020 Alexandros Stergiou, Ronald Poppe, Remco C. Veltkamp

We show that using Class Regularization blocks in state-of-the-art CNN architectures for action recognition leads to systematic improvement gains of 1. 8%, 1. 2% and 1. 4% on the Kinetics, UCF-101 and HMDB-51 datasets, respectively.

Action Recognition

Spatio-Temporal FAST 3D Convolutions for Human Action Recognition

no code implementations30 Sep 2019 Alexandros Stergiou, Ronald Poppe

Motivated by the often distinctive temporal characteristics of actions in either horizontal or vertical direction, we introduce a novel convolution block for CNN architectures with video input.

Action Recognition

Class Feature Pyramids for Video Explanation

1 code implementation18 Sep 2019 Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas, Ronald Poppe, Remco Veltkamp

We demonstrate the method on six state-of-the-art 3D convolution neural networks (CNNs) on three action recognition (Kinetics-400, UCF-101, and HMDB-51) and two egocentric action recognition datasets (EPIC-Kitchens and EGTEA Gaze+).

Action Recognition

Multitask Learning to Improve Egocentric Action Recognition

no code implementations15 Sep 2019 Georgios Kapidis, Ronald Poppe, Elsbeth van Dam, Lucas Noldus, Remco Veltkamp

We employ this idea to tackle action recognition in egocentric videos by introducing additional supervised tasks.

Action Recognition

Light Field Saliency Detection with Deep Convolutional Networks

2 code implementations19 Jun 2019 Jun Zhang, Yamei Liu, Shengping Zhang, Ronald Poppe, Meng Wang

Light field imaging presents an attractive alternative to RGB imaging because of the recording of the direction of the incoming light.

Saliency Detection

Egocentric Hand Track and Object-based Human Action Recognition

no code implementations2 May 2019 Georgios Kapidis, Ronald Poppe, Elsbeth van Dam, Lucas P. J. J. Noldus, Remco C. Veltkamp

We acknowledge that the presence of objects is significant for the execution of actions by humans and in general for the description of a scene.

Action Recognition object-detection +1

A personal model of trumpery: Deception detection in a real-world high-stakes setting

no code implementations5 Nov 2018 Sophie van der Zee, Ronald Poppe, Alice Havrileck, Aurelien Baillon

Our results demonstrate the power of linguistic analysis in real-world deception research when applied at the individual level and provide evidence that factually incorrect tweets are not random mistakes of the sender.

Deception Detection

Analyzing Human-Human Interactions: A Survey

1 code implementation31 Jul 2018 Alexandros Stergiou, Ronald Poppe

The main challenges stem from dealing with the considerable variation in recording setting, the appearance of the people depicted and the coordinated performance of their interaction.

Action Recognition

Twente Debate Corpus --- A Multimodal Corpus for Head Movement Analysis

no code implementations LREC 2014 Bayu Rahayudi, Ronald Poppe, Dirk Heylen

This paper introduces a multimodal discussion corpus for the study into head movement and turn-taking patterns in debates.

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