Gul Varol | DeepAI

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∙ 08/28/2023

CoVR: Learning Composed Video Retrieval from Web Video Captions

Composed Image Retrieval (CoIR) has recently gained popularity as a task...

0 Lucas Ventura, et al. ∙

∙ 05/02/2023

TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis

In this paper, we present TMR, a simple yet effective approach for text ...

0 Mathis Petrovich, et al. ∙

∙ 04/20/2023

SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation

Our goal is to synthesize 3D human motions given textual inputs describi...

0 Nikos Athanasiou, et al. ∙

∙ 03/30/2023

Going Beyond Nouns With Vision Language Models Using Synthetic Data

Large-scale pre-trained Vision Language (VL) models have shown remar...

0 Paola Cascante-Bonilla, et al. ∙

∙ 03/29/2023

AutoAD: Movie Description in Context

The objective of this paper is an automatic Audio Description (AD) model...

14 Tengda Han, et al. ∙

∙ 11/16/2022

Weakly-supervised Fingerspelling Recognition in British Sign Language Videos

The goal of this work is to detect and recognize sequences of letters si...

5 K R Prajwal, et al. ∙

∙ 09/09/2022

TEACH: Temporal Action Composition for 3D Humans

Given a series of natural language descriptions, our task is to generate...

0 Nikos Athanasiou, et al. ∙

∙ 08/04/2022

Automatic dense annotation of large-vocabulary sign language videos

Recently, sign language researchers have turned to sign language interpr...

1 Liliane Momeni, et al. ∙

∙ 05/17/2022

A CLIP-Hitchhiker's Guide to Long Video Retrieval

Our goal in this paper is the adaptation of image-text models for long v...

13 Max Bain, et al. ∙

∙ 05/09/2022

Scaling up sign spotting through sign language dictionaries

The focus of this work is sign spotting - given a video of an isolated s...

1 Gul Varol, et al. ∙

∙ 04/25/2022

TEMOS: Generating diverse human motions from textual descriptions

We address the problem of generating diverse 3D human motions from textu...

0 Mathis Petrovich, et al. ∙

∙ 01/07/2022

Sign Language Video Retrieval with Free-Form Textual Queries

Systems that can efficiently search collections of sign language videos ...

16 Amanda Duarte, et al. ∙

∙ 11/05/2021

BBC-Oxford British Sign Language Dataset

In this work, we introduce the BBC-Oxford British Sign Language (BOBSL) ...

18 Samuel Albanie, et al. ∙

∙ 08/16/2021

Towards unconstrained joint hand-object reconstruction from RGB videos

Our work aims to obtain 3D reconstruction of hands and manipulated objec...

14 Yana Hasson, et al. ∙

∙ 05/06/2021

Aligning Subtitles in Sign Language Videos

The goal of this work is to temporally align asynchronous subtitles in s...

5 Hannah Bull, et al. ∙

∙ 04/28/2021

Sign Segmentation with Changepoint-Modulated Pseudo-Labelling

The objective of this work is to find temporal boundaries between signs ...

0 Katrin Renz, et al. ∙

∙ 04/12/2021

Action-Conditioned 3D Human Motion Synthesis with Transformer VAE

We tackle the problem of action-conditioned generation of realistic and ...

0 Mathis Petrovich, et al. ∙

∙ 04/01/2021

Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

Our objective in this work is video-text retrieval - in particular a joi...

7 Max Bain, et al. ∙

∙ 03/30/2021

Read and Attend: Temporal Localisation in Sign Language Videos

The objective of this work is to annotate sign instances across a broad ...

4 Gul Varol, et al. ∙

∙ 11/25/2020

Sign language segmentation with temporal convolutional networks

The objective of this work is to determine the location of temporal boun...

0 Katrin Renz, et al. ∙

∙ 10/08/2020

Watch, read and lookup: learning to spot signs from multiple supervisors

The focus of this work is sign spotting - given a video of an isolated s...

8 Liliane Momeni, et al. ∙

∙ 07/23/2020

BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues

Recent progress in fine-grained gesture and action classification, and m...

2 Samuel Albanie, et al. ∙

∙ 12/09/2019

Synthetic Humans for Action Recognition from Unseen Viewpoints

Our goal in this work is to improve the performance of human action reco...

17 Gul Varol, et al. ∙

∙ 04/11/2019

Learning joint reconstruction of hands and manipulated objects

Estimating hand-object manipulations is essential for interpreting and i...

2 Yana Hasson, et al. ∙

∙ 04/13/2018

BodyNet: Volumetric Inference of 3D Human Body Shapes

Human shape estimation is an important task for video editing, animation...

2 Gul Varol, et al. ∙

∙ 01/05/2017

Learning from Synthetic Humans

Estimating human pose, shape, and motion from images and videos are fund...

0 Gul Varol, et al. ∙

∙ 04/15/2016

Long-term Temporal Convolutions for Action Recognition

Typical human actions last several seconds and exhibit characteristic sp...

0 Gul Varol, et al. ∙

∙ 04/06/2016

Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

Computer vision has a great potential to help our daily lives by searchi...

0 Gunnar A. Sigurdsson, et al. ∙

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