ICIAP 2021 CALL FOR TUTORIALS 23-27, MAY 2022  LECCE, ITALY – https://www.iciap2021.org/ The 21th International Conference on IMAGE ANALYSIS AND PROCESSING(ICIAP 2021) to be held in Lecce, Italy will host tutorials on topicsrelated to research in Computer Vision, Machine Learning, ImageProcessing, Medical Imaging and related fields. Tutorials will takeplace on May 23-24 2022 with both half (max […]

NEXT WEEK: NEW APPROACHES TO 3D VISION, 1st-4th November 2021, hosted by the Royal Society  This Royal Society online meeting brings together researchers from computer vision, animal vision, and human vision to explore recent developments in 3D vision. Speakers reflect both academia and industry, with representatives from DeepMind, Facebook Reality Labs, Google, and Microsoft Research. Date/Time: 1st-4th November 2021, 3-6pm […]

CALL FOR PAPERS: WACV 2022 Workshop on Hazard Perception in Intelligent Vehicles. https://ardhendubehera.github.io/HPIV/ This workshop will explore challenges in the analysis and assessment of potential developing hazards to advance the research and development of hazard perception in autonomous driving. This requires solving the situation awareness by accurate detection and anticipation of positions, movements and actions […]

Call for Demos and Videos 18th International Conference on Intelligent Environments (IE2022), 20-23 June 2022, Biarritz, France http://ie2022.iutbayonne.univ-pau.fr/ Important Dates:     Conference paper submission:         1 December 2021     Communication of results:           15 February 2022     Camera ready:                       28 March 2022 The 18th International Conference on Intelligent Environments (IE2022) will be held in 2022 in Biarritz, […]

[CVML]Call for contribution and participation for this ACML 2021 workshop about:       – theoretical discussions on how mathematical statistics or recent mathematical models can be applied to learn lighter architectures       – tutorials and experience feedback on how softwares like RAPL and nvidia-smi can measure the energy consumed by deep learning […]