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Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

• Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta
• ECCV
• 2016

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Learning from Synthetic Humans

• Gül Varol, Javier Romero, +4 authors Cordelia Schmid
• IEEE Conference on Computer Vision and Pattern…
• 2017

Estimating human pose, shape, and motion from images and videos are fundamental challenges with many applications. Recent advances in 2D human pose estimation use large amounts of manually-labeled… (More)

Toward Retail Product Recognition on Grocery Shelves

• Gül Varol, Rıdvan Salih Kuzu
• 2014

This paper addresses the problem of retail product recognition on grocery shelf images. We present a technique for accomplishing this task with a low time complexity. We decompose the problem into… (More)

Efficient large-scale action recognition in videos using extreme learning machines

• Gül Varol, Albert Ali Salah
• Expert Syst. Appl.
• 2015

Rafta Ürün Diziliminin Görüntü İşleme ile Tespiti Product Placement Detection Based on Image Processing

• Gül Varol, Rıdvan Salih Kuzu, +4 authors Rene Salih
• 2014

Product positioning in stores is of importance for the manufacturers. With this aim, the placement on shelves is done according to some documents named planograms. To check whether the placement is… (More)

Product placement detection based on image processing

• Gül Varol, Ridvan Salih Kuzu, Yusuf Sinan Akgiil
• 22nd Signal Processing and Communications…
• 2014

Product positioning in stores is of importance for the manufacturers. With this aim, the placement on shelves is done according to some documents named planograms. To check whether the placement is… (More)

BodyNet: Volumetric Inference of 3D Human Body Shapes

• Gül Varol, Duygu Ceylan, +4 authors Cordelia Schmid
• ECCV
• 2018

Human shape estimation is an important task for video editing, animation and fashion industry. Predicting 3D human body shape from natural images, however, is highly challenging due to factors such… (More)

Extreme Learning Machine for Large-Scale Action Recognition

• Gül Varol, Albert Ali Salah
• 2014

In this paper, we describe the method we applied for the action recognition task on the THUMOS 2014 challenge dataset. We study human action recognition in RGB videos through low-level features by… (More)

Tutoring Robots - Multiparty Multimodal Social Dialogue with an Embodied Tutor

• Samer Al Moubayed, Jonas Beskow, +9 authors Gül Varol
• eNTERFACE
• 2013

This project explores a novel experimental setup towards building spoken, multi-modally rich, and human-like multiparty tutoring agent. A setup is developed and a corpus is collected that targets the… (More)

The Tutorbot Corpus ― A Corpus for Studying Tutoring Behaviour in Multiparty Face-to-Face Spoken Dialogue

• Maria Koutsombogera, Samer Al Moubayed, +7 authors Gül Varol
• LREC
• 2014

This paper describes a novel experimental setup exploiting state-of-the-art capture equipment to collect a multimodally rich game-solving collaborative multiparty dialogue corpus. The corpus is… (More)

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