Computer Vision for Civil and Infrastructure Engineering Workshop (CVCIE @ ECCV2022)


June 28th, 2022: The workshop submission deadlines have been extended!
May 5th, 2022: The workshop submission deadlines have been updated.
April 28th, 2022: It is now possible to submit papers through the CMT webpage.
April 27th, 2022: CVCIE will be a full-day Hybrid workshop!
April 6th, 2022: We are happy to announce that CVCIE will take place at ECCV 2022!

(Tentative) Schedule

9.00am – 9.10am Welcome
9.10am – 9.55am Invited talk: Eric Wolf – CTO at Pallon Ltd. – Title: Computer Vision for the Underworld – Automatically Assessing Sewer Infrastructure

9.55am – 10.15am Oral paper: #1
10.15am – 10.35am Oral paper: #2

10.35am – 11.00am Coffee break
11.00am – 11.45am Invited talk: Iro Armeni
– Post Doc. at ETH Zurich. – Title: Spatiotemporal Understanding of the Built Environment using Visual Data

11.45am – 12.05pm Oral paper: #3
12.05pm – 12.25pm Oral paper: #4

12.25pm – 1.30pm Lunch break
1.30pm – 2.15pm Invited talk: Shirley Dyke – Professor at Purdue University. – Title: Empowering Disaster Reconnaissance Teams through Artificial Intelligence

2.15pm – 2.45pm Poster spotlights
2.45pm – 4.15pm Poster session and coffee break

4.15pm – 5.00pm Invited talk: Derek Hoiem – Professor at University of Urbana-Champaign Illinois, and CSO at Reconstruct Inc. – Title: Needs, Challenges, and Opportunities for Computer Vision in the Built World

5.00pm – 5.15pm Best paper award sponsored by Pallon Ltd. + goodbye


Civil and infrastructure engineering are corner stones in modern society, and as the world population continues to grow, the infrastructure and built environment has to keep up. This puts a large burden on the inspection of infrastructure such as bridges, roads, sewerage, buildings etc. Computer vision can be used to enable automating the inspection process and contributing to the built environment by e.g. easy data collection and analysis, which can be used in Building Information Modeling (BIM), as well as navigation in (GPS-denied) environments. Computer vision can also be used to analyze work patterns or detect hazardous situations at e.g. construction sites, where large machinery and humans are in close proximity to each other. There is huge potential for computer vision in many aspects of the civil and infrastructure domain which have yet to be realized.

Call for Papers

The ambition of this workshop is to bring together practitioners and researchers from different disciplines to share ideas and methods on current and future use of computer vision in civil and infrastructure engineering. To this end, we welcome computer vision–based research contributions as well as best-practice contributions focusing on the following (and similar) topics:

  • Computer vision for automated inspection of infrastructures
  • Multi-modal analysis for automated infrastructure inspections
  • Computer vision for Building Information Modeling (BIM)
  • XAI in automated infrastructure inspections
  • Activity recognition in construction sites
  • Event detection in construction sites
  • Safety estimation in construction sites
  • Urban and indoor localization/navigation
  • Comfort assessment in the built environment
  • Alternative sensing for BIM and infrastructure inspections
  • Augmented/virtual reality for civil & infrastructure engineering
  • Datasets and annotations for civil & infrastructure engineering

Important Dates

Submission deadline: July 7, 2022 July 15, 2022 (11:59PM Pacific Time)
Decision notification: July 28, 2022 August 5, 2022
Camera ready deadline: August 10, 2022, August 19, 2022

Submission instructions

Policies and guidelines (same as for ECCV): Link
The review process is confidential and double blind.

Submission: CMT

Accepted papers will be published in the ECCV workshop proceedings.

Best paper award

1000$ sponsored by Pallon Ltd.

Invited speakers

  • Derek Hoiem, Professor at the University of Illinois at Urbana-Champaign and Chief Science Officer at Reconstruct Inc
  • Shirley J. Dyke, Professor at Purdue University
  • Iro Armeni, Postdoctoral Researcher at ETH Zurich
  • Eric Wolf, Co-founder at Pallon


Joakim Bruslund Haurum, Aalborg University, Denmark
Mingzhu Wang, Loughborough University, UK
Ajmal Mian, University of Western Australia, Australia
Thomas Moeslund, Aalborg University, Denmark