Invited Speakers


8:30-8:40 Opening remarks Workshop Organizers
8:40-9:15 Invited Talk
9:15-9:50 Invited Talk
9:50-10:10 VATEX Challenge
10:10-10:20 Challenge Talk [runner up]
10:20-10:30 Challenge Talk [winner]
10:30-11:00 Coffee Break and Poster Session
11:00-11:35 Invited Talk
11:35-12:10 Invited Talk
12:10-2:00 Lunch
2:00-2:35 Invited Talk
2:35-3:00 Invited Talk
3:10-3:30 Poster Highlights
3:30-4:00 Coffee Break and Poster Session
4:00-4:35 Invited Talk
4:35-5:10 Invited Talk
5:10-5:40 Panel Discussion

Overview and Call For Papers

Language and vision research has attracted great attention from both natural language processing (NLP) and computer vision (CV) researchers, which is gradually shifting from passive perception, templated language and synthetic imagery/environments to active perception, natural language and photo-realistic simulation (or even real world). Thus far, few workshops on language and vision research have been organized by groups from the NLP community. We propose the first workshop on Advances in Language and Vision Research (ALVR) in order to promote the frontier of language and vision research and bring interested researchers together to discuss how to best tackle and solve real-world problems in this area.

This workshop covers (but is not limited to) the following topics:

In addition, we will also hold the first Video-guided Machine Translation Challenge, which we refer to as VATEX Translation Challenge 2020. The challenge aims to initiate studies and benchmark progress towards models that can translate the source language into the target language with the assistance of spatiotemporal context in videos. This challenge is based on the recently released large-scale multilingual video description dataset, VATEX. The VATEX dataset contains over 41,250 videos and 825,000 high-quality captions in both English and Chinese, half of which are English-Chinese translation pairs. Winners will be announced and awarded in the workshop.

Submission details

Archival Track

The archival track follows the ACL short paper format. Submissions to the archival track may consist of up to 4 pages of content (excluding references) in ACL format (style sheets are available below), plus unlimited references. Accepted papers will be given 5 content pages for camera-ready version. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. The accepted papers to the archival track will be included in the ACL 2020 Workshop proceedings. The archival track does not accept double submissions, e.g., no previously published papers or concurrent submissions to other conferences or workshops.

The format of submitted papers to the archival track must follow the ACL Author Guidelines. Style sheets (Latex, Word) are available here. And the Overleaf template is also available here.

Non-archival Track

The workshop also includes a non-archival track to allow submission of previously published papers and double submission to ALVR and other conferences or journals. Accepted non-archival papers can still be presented as posters at the workshop. There are no formatting or page restrictions for non-archival submissions. The accepted papers to the non-archival track will be displayed on the workshop website, but will NOT be included in the ACL 2020 Workshop proceedings or otherwise archived.

Important Dates



Organizers and PC


  • Xin Wang
  • UC Santa Barbara
  • Jesse Thomason
  • University of Washington
  • Ronghang Hu
  • UC Berkeley
  • Xinlei Chen
  • Facebook AI Research
  • Peter Anderson
  • Georgia Tech
  • Qi Wu
  • Adelaide University
  • Asli Celikyilmaz
  • Microsoft Research
  • Jason Baldridge
  • Google Research
  • William Yang Wang
  • UC Santa Barbara

    Contact the Organizing Committee:

    Program Committee

  • Jacob Andreas
  • MIT
  • Angel Chang
  • Simon Fraser Univeristy
  • Devendra Chaplot
  • CMU
  • Abhishek Das
  • Georgia Tech
  • Daniel Fried
  • UC Berkeley
  • Zhe Gan
  • Microsoft
  • Christopher Kanan
  • Rochester Institute of Technology
  • Jiasen Lu
  • Georgia Tech
  • Ray Mooney
  • University of Texas, Austin
  • Khanh Nguyen
  • University of Maryland
  • Aishwarya Padmakumar
  • University of Texas, Austin
  • Hamid Palangi
  • Microsoft Research
  • Alessandro Suglia
  • Heriot-Watt University
  • Vikas Raunak
  • CMU
  • Volkan Cirik
  • CMU
  • Parminder Bhatia
  • Amazon
  • Khyathi Raghavi Chandu
  • CMU
  • Asma Ben Abacha
  • Thoudam Doren Singh
  • National Institute of Technology, Silchar, India
  • Dhivya Chinnappa
  • Thomson Reuters
  • Shailza Jolly
  • TU Kaiserslautern
  • Alok Singh
  • National Institute of Technology, Silchar, India
  • Mohamed Elhoseiny
  • Marimuthu Kalimuthu
  • Saarland University
  • Simon Dobnik
  • University of Gothenburg
  • Shruti Palaskar
  • CMU

    If you are interested in taking a more active part in the workshop, apply to join the program committee.