{"id":4,"date":"2021-01-21T14:13:23","date_gmt":"2021-01-21T14:13:23","guid":{"rendered":"https:\/\/vision.projects.unibz.it\/?page_id=4"},"modified":"2026-07-01T17:27:53","modified_gmt":"2026-07-01T17:27:53","slug":"home","status":"publish","type":"page","link":"https:\/\/vision.projects.unibz.it\/","title":{"rendered":"HOME"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Visual Inference and Learning<\/h2>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The Visual Inference and Learning (VIL) group conducts research in the field of <strong>computer vision<\/strong> and machine learning. We are interested in all aspects of <strong>image and video understanding<\/strong> \u2013 from low-level perception to high level interpretation \u2013 with emphasis on applications involving humans and supporting humans. In our research, we build on advances in <strong>modern machine learning<\/strong> and develop novel methods that by design rely on inductive biases to learn efficiently. Our goal is to build machines that see and tell, and to contribute to the advancement of AI in this context.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Keywords<\/strong>: detection and tracking, action recognition, text-video retrieval, anomaly classification and segmentation, neural rendering, neural architecture search, representation learning, computer vision, artificial intelligence<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-cyan-bluish-gray-color has-alpha-channel-opacity has-cyan-bluish-gray-background-color has-background is-style-default\"\/>\n\n\n\n<div class=\"wp-block-columns are-vertically-aligned-center is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"336\" height=\"169\" src=\"https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2024\/01\/Covision.png\" alt=\"\" class=\"wp-image-24\" style=\"width:auto;height:70px\" srcset=\"https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2024\/01\/Covision.png 336w, https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2024\/01\/Covision-300x151.png 300w\" sizes=\"auto, (max-width: 336px) 100vw, 336px\" \/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:200px\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"224\" height=\"126\" src=\"https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2024\/01\/NVIDIA.png\" alt=\"\" class=\"wp-image-23\" style=\"width:auto;height:50px\"\/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"258\" height=\"148\" src=\"https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2024\/01\/CVC.png\" alt=\"\" class=\"wp-image-21\" style=\"width:auto;height:50px\"\/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"202\" height=\"134\" src=\"https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2024\/01\/LabUdine.png\" alt=\"\" class=\"wp-image-22\" style=\"width:auto;height:50px\"\/><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"326\" height=\"36\" src=\"https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2024\/01\/Schaffler.png\" alt=\"\" class=\"wp-image-25\" style=\"width:auto;height:10px\" srcset=\"https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2024\/01\/Schaffler.png 326w, https:\/\/vision.projects.unibz.it\/wp-content\/uploads\/2024\/01\/Schaffler-300x33.png 300w\" sizes=\"auto, (max-width: 326px) 100vw, 326px\" \/><\/figure>\n<\/div><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Visual Inference and Learning The Visual Inference and Learning (VIL) group conducts research in the field of computer vision and machine learning. We are interested in all aspects of image and video understanding \u2013 from low-level perception to high level interpretation \u2013 with emphasis on applications involving humans and supporting humans. In our research, we build on advances in modern machine learning and develop novel methods that by design rely on inductive biases to learn efficiently. Our goal is to build machines that see and tell, and to contribute to the advancement of AI in this context. Keywords: detection and [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/pages\/4","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4"}],"version-history":[{"count":28,"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/pages\/4\/revisions"}],"predecessor-version":[{"id":267,"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=\/wp\/v2\/pages\/4\/revisions\/267"}],"wp:attachment":[{"href":"https:\/\/vision.projects.unibz.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}