******************************** Call for Papers “Uncertainty Quantification for Computer Vision” Workshop & Challenge at ICCV 2023 (2nd Edition) https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Funcv2023.github.io%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=AIWC8Mr0UXtzZ%2BFPetzSYsvTJc8Iz0M5gVIpmNubdtc%3D&reserved=0 ********************************
Submission Deadline July 18th AOE Two types of paper are welcome: - Regular Papers - (novel contributions not published previously) - Extended Abstracts - (novel contributions or papers that have been already accepted for publication previously) In the last decade, substantial progress has been made w.r.t. the performance of computer vision systems, a significant part of it thanks to deep learning. These advancements prompted sharp community growth and a rise in industrial investment. However, most current models lack the ability to reason about the confidence of their predictions; integrating uncertainty quantification into vision systems will help recognize failure scenarios and enable robust applications. The ICCV 2023 workshop on Uncertainty Quantification for Computer Vision will consider recent advances in methodology and applications of uncertainty quantification in computer vision. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: * Applications of uncertainty quantification * Failure prediction (e.g., OOD detection) * Robustness in CV * Safety critical applications in CV * Domain-shift in CV * Probabilistic deep models * Deep probabilistic models * Deep ensemble uncertainty * Connections between NNs and GPs * Incorporating explicit prior knowledge in deep learning * Computational aspects and real-time probabilistic inference * Output ambiguity, multi-modality and diversity All papers will be peer-reviewed, and accepted Regular papers are presented at the workshop and included in the ICCV Workshop Proceedings. Challenge The workshop features the MUAD Uncertainty Estimation for Semantic Segmentation Challenge. This challenge aims to evaluate the uncertainty estimation performance of the semantic segmentation models. The participants will download the training and validation sets (containing the RGB images and the corresponding ground truth maps) as well as the test set (only the RGB images are provided), and design and train the models. Then ones should provide the confidence maps which can provide enough information to help the decision-maker to find out the Out-Of-Distribution objects in the test set images. Some of the test set images have different levels of weather conditions (rain, fog, snow), which will be challenging to the robustness of the models. The MUAD challenge link: click here<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcodalab.lisn.upsaclay.fr%2Fcompetitions%2F8007&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=cCyO029GlA4vTwO3Gb%2FbEygXznRfew31d06wnbUN22M%3D&reserved=0>. More information about the MUAD dataset and its download link are available at MUAD website<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmuad-dataset.github.io%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=DFuS2%2FgJ6XiO%2Bw24L0lj1bL8DZ30JfYQn9WWrH4dYoY%3D&reserved=0>. Submission Instructions At the time of submission, authors must indicate the desired paper track: * Regular papers will be peer-reviewed following the same policy of the main conference and will be published in the proceedings (call for papers with guidelines and template here<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ficcv2023.thecvf.com%2Fsubmission.guidelines-361600-2-20-16.php&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=mzG3ugY3jX8BqZlYWD0gyuI%2FavyZKFNjdNujiECndx8%3D&reserved=0>, max 8 pages, additional pages for references only are allowed). These are meant to present novel contributions not published previously (submitted papers should not have been published, accepted or under review elsewhere). * Extended abstracts are meant for preliminary works and short versions of papers that have already been accepted, or are under review, preferably in the last year in some major conferences or journals. These papers will undergo a separate reviewing process to assess the suitability for the workshop. These will *not appear* in the workshop proceedings. Template and guidelines (max 4 content pages, additional pages for references allowed) here<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Funcv2023%2Funcv2023.github.io%2Fblob%2Fmain%2Fassets%2Funcv2023_workshopICCV_author-kit.zip&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=FnH8uXt9MmOW727iwhvX0MmDl0Vt4lT5LBJ3UC2Fp1k%3D&reserved=0>. Submission site: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopenreview.net%2Fgroup%3Fid%3Dthecvf.com%2FICCV%2F2023%2FWorkshop%2FUnCV&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=kEYKMVu0ShbvtnBOwdiKRcgXwPlpB5GpBmhbcZz3HcI%3D&reserved=0 Important Dates (All times are end of day AOE) Submission deadline: July 18th, 2023 Notification of acceptance: August 5th, 2023 Camera-ready deadline: August 10th, 2023 Organizing Commitee * Andrea Pilzer<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fandrea-pilzer.github.io%2Fabout%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=cNXKJLNFUL8hSfzjt8Ihk3RBmvYOeggrng4KXgaxCCk%3D&reserved=0>, NVIDIA, Italy * Elisa Ricci<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Felisaricci.eu%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=31v0U8wYIf5Bo5gWz6vYvNO%2F3c%2Bf4MT%2FQj0wC78z844%3D&reserved=0>, University of Trento, Italy * Gianni Franchi<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ensta-paris.fr%2Ffr%2Fgianni-franchi&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Xk8qnfMwsmp2pZE%2BO5LnBKnI0otrpSdTeVPQeZNPb1Q%3D&reserved=0>, ENSTA Paris, France * Andrei Bursuc<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fabursuc.github.io%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=mP4Go7C7iiDzKNsxCx%2BVb%2FqsY0Njc64s%2B4f%2FbZzU8As%3D&reserved=0>, <https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fvaleo.ai%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=y09%2FiwyHMH2IWebVGKI678sBEaxJrm6OQT%2BMDLogjUM%3D&reserved=0> valeo.ai<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fvaleo.ai%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=y09%2FiwyHMH2IWebVGKI678sBEaxJrm6OQT%2BMDLogjUM%3D&reserved=0>, France * Arno Solin<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Farno.solin.fi%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ELmTdIYOBQZ2lfdDoYXEUwoEBY0L8LNhCVy7DJibWxI%3D&reserved=0>, Aalto University, Finland * Martin Trapp<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftrappmartin.github.io%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=cPuh0864pWm2CmgcQY302j90cYXz1ef3qLlMYf8oBzs%3D&reserved=0>, Aalto University, Finland * Rui Li<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fruili-pml.github.io%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=tw0UeTSo1vRFcP17cjdxlJHuFgZTc7ULGrn0YLMqaZM%3D&reserved=0>, Aalto University, Finland * Angela Yao<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.comp.nus.edu.sg%2F~ayao%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nyfb9Iz8pOit9Ke3DFsOMJd6FlNiqwbVjxiUoy6%2BOjo%3D&reserved=0>, National University of Singapore, Singapore * Wenlong Chen<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fchenw20.github.io%2Fwenlongchen.github.io%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=12oII%2BSlfqbg1c9mBgXoCb%2FSHJ9ViONJqoAfMExoWZE%3D&reserved=0>, Imperial College London, UK * Ivor Simpson<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprofiles.sussex.ac.uk%2Fp504012-ivor-simpson&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=lXXyEl0NM4uSZqZ87G5bw8Q2AIlb73M0O11rghqz%2Bos%3D&reserved=0>, University of Sussex, UK * Neill D. F. Campbell<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fndfcampbell.org%2F&data=05%7C01%7Cuai%40engr.orst.edu%7Ccba867f6687445bb4a9508db5dfcb223%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638207114242627049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=1J54ejpYMUpRaplMtKesVg%2BLEyguHy7ZQn%2B7K0SmMH0%3D&reserved=0>, University of Bath, UK
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