Archive for May, 2021

1st CfP – CAOS: Cognition And OntologieS @FOIS – September – Bolzano, Italy

CAOS 2021 – Call for Papers Cognition And OntologieS in conjunction with FOIS held September 11-18 in Bolzano, Italy (hybrid event)  https://caos.inf.unibz.it   The purpose of the workshop is to bridge the gap between the cognitive sciences and research on ontologies and, thus, to create a venue for researchers interested in interdisciplinary aspects of knowledge […]

Invitation for Participation in the first ScanBIM Challenge

Dear Colleagues, We invite you to participate in the first Scan-to-BIM challenge focused on key problems when converting 3D point cloud data obtained using lidar, photogrammetry, or depth map cameras to Building Information Models (BIMs). For maintenance, retrofitting, or renovation AEC entities could greatly benefit from access to BIMs of their facilities. Furthermore, asset owners […]

RVSU CVPR’21 Workshop Call for Papers (Tracking and Video Understanding). Deadline June 4th.

RVSU Workshop: The RVSU workshop (https://eval.vision.rwth-aachen.de/rvsu-workshop21/) is putting out a call for submission track papers (https://eval.vision.rwth-aachen.de/rvsu-workshop21/?page_id=74) on Tracking and Video Understanding. The deadline for paper submissions is June 4. Papers are restricted to 4 pages to not prevent simultaneous submission at full conferences. We are looking forward to accepting interesting work about Tracking, Video Segmentation […]

CFP: AIMLSystems2021

Please find below the Call for Papers for the AIML Systems 2021 Conference. Looking forward to receiving your submissions.

The ROAD Challenge @ ICCV 2021

The ROAD Challenge: Event Detection for Situation Awareness in Autonomous Driving Call for participation https://sites.google.com/view/roadchallangeiccv2021/challenge Aim of the Challenge The accurate detection and anticipation of actions performed by multiple road agents (pedestrians, vehicles, cyclists and so on) is a crucial task to address for enabling autonomous vehicles to make autonomous decisions in a safe, reliable […]

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