{"id":42791,"date":"2024-12-05T15:02:59","date_gmt":"2024-12-05T07:02:59","guid":{"rendered":"https:\/\/www.hkmu.edu.hk\/st\/?p=42791"},"modified":"2025-01-16T16:27:22","modified_gmt":"2025-01-16T08:27:22","slug":"crant-talks-series-adverse-weather-visual-restoration-from-classical-cnns-to-foundation-models","status":"publish","type":"post","link":"https:\/\/www.hkmu.edu.hk\/st\/events\/crant-talks-series-adverse-weather-visual-restoration-from-classical-cnns-to-foundation-models\/","title":{"rendered":"CRANT Talk Series: Adverse Weather Visual Restoration: From Classical CNNs to Foundation Models"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"42791\" class=\"elementor elementor-42791\" data-elementor-settings=\"[]\">\n\t\t\t\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t<section class=\"has_eae_slider wavo-column-gap-default elementor-section elementor-top-section elementor-element elementor-element-e7efb83 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e7efb83\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;},&quot;_id&quot;:&quot;fc47f36&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;},&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:50,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x&quot;:50,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y&quot;:50,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9e2b25d\" data-id=\"9e2b25d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-dcbcc74 elementor-widget elementor-widget-premium-addon-title\" data-id=\"dcbcc74\" data-element_type=\"widget\" data-widget_type=\"premium-addon-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\n\t<div class=\"premium-title-container style1\">\n\t\t<h6 class=\"premium-title-header premium-title-style1\">\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t\t\t<span class=\"premium-title-text\" >\n\t\t\t\tSpeaker: Dr Lei Zhu, Robotics and Autonomous Systems (ROAS) Thrust &amp; DSA Thrust, HKUST (Guangzhou) <br>Organizer: CRANT, S&amp;T, HKMU<br>Date: 23 December 2024 (Monday)<br>Time: 11:00 AM \u2013 12:00 PM<br>Location: D0710, Jockey Club Campus (JCC), HKMU\t\t\t<\/span>\n\t\t\t\t\n\t\t\t\t\t\t\t\t<\/h6>\n\t<\/div>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider wavo-column-gap-default elementor-section elementor-top-section elementor-element elementor-element-9979760 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9979760\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;},&quot;_id&quot;:&quot;de876f7&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;},&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:50,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x&quot;:50,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y&quot;:50,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c99a41c\" data-id=\"c99a41c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7b72e45 elementor-widget elementor-widget-text-editor\" data-id=\"7b72e45\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<p><em><strong>Title<\/strong><\/em><\/p><p>Adverse Weather Visual Restoration: From Classical CNNs to Foundation Models<\/p><p><strong style=\"font-style: italic;\">Abstract<\/strong><\/p><p>In this talk, I will present our works for adverse weather image\/video restoration by leveraging diverse deep learning models. First, I will focus on leveraging traditional CNNs (e.g., Transformer) for addressing different adverse weather image\/video restoration tasks. Then, I will talk about our recent works based on diffusion models and LLMs.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider wavo-column-gap-default elementor-section elementor-top-section elementor-element elementor-element-645eb12 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"645eb12\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;},&quot;_id&quot;:&quot;4b60d9a&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;},&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:50,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x&quot;:50,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y&quot;:50,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-7c84652\" data-id=\"7c84652\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-08e0c42 elementor-widget elementor-widget-text-editor\" data-id=\"08e0c42\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<p><em><strong>Biographies<\/strong><\/em><\/p><p>Dr. Lei ZHU is currently working as an Assistant Professor at Robotics and Autonomous Systems (ROAS) Thrust &amp; DSA Thrust at HKUST (Guangzhou). He received his PhD degree at CSE of the CUHK in 2017, and then worked as a postdoctoral researcher at University of Cambridge. His research interest is to develop intelligent visual perception theory and algorithms to assist autonomous systems, medical imaging, robotics, and so on. In the past few years, he has published 100+ papers in top-tier conferences or journals (e.g., IEEE TPAMI\/IJCV\/NeurIPS\/CVPR\/ICCV). He has been invited as a program chair for ACM SIGGRAPH VRCAI 2022 &amp; 2024, and an area chair for ICLR 2025, CVPR 2025, ECCV 2024, MICCAI 2024 &amp; 2023, and so on.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-d0d4974\" data-id=\"d0d4974\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fd7b2c4 elementor-widget elementor-widget-image\" data-id=\"fd7b2c4\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img width=\"240\" height=\"286\" src=\"https:\/\/www.hkmu.edu.hk\/st\/wp-content\/uploads\/sites\/25\/2024\/12\/Dr-Lei-Zhu.jpg\" class=\"attachment-medium size-medium\" alt=\"\" decoding=\"async\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Speaker: Dr Lei Zhu, Robotics and Autonomous Systems (ROAS) Thrust &amp; DSA Thrust, HKUST (Guangzhou) Organizer: CRANT, S&amp;T, HKMU Date: 23 December 2024 (Monday) Time: 11:00 AM \u2013 12:00 PM Location: D0710, Jockey Club Campus (JCC), HKMU Title Adverse Weather Visual Restoration: From Classical CNNs to Foundation Models Abstract In this talk, I will present...<\/p>\n","protected":false},"author":542,"featured_media":31741,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_expiration-date-status":"","_expiration-date":0,"_expiration-date-type":"","_expiration-date-categories":[],"_expiration-date-options":[]},"categories":[44],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v17.3 (Yoast SEO v21.2) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>CRANT Talk Series: Adverse Weather Visual Restoration: From Classical CNNs to Foundation Models - School of Science and Technology - Hong Kong Metropolitan University<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.hkmu.edu.hk\/st\/events\/crant-talks-series-adverse-weather-visual-restoration-from-classical-cnns-to-foundation-models\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CRANT Talk Series: Adverse Weather Visual Restoration: From Classical CNNs to Foundation Models\" \/>\n<meta property=\"og:description\" content=\"Speaker: Dr Lei Zhu, Robotics and Autonomous Systems (ROAS) Thrust &amp; DSA Thrust, HKUST (Guangzhou) Organizer: CRANT, S&amp;T, HKMU Date: 23 December\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.hkmu.edu.hk\/st\/events\/crant-talks-series-adverse-weather-visual-restoration-from-classical-cnns-to-foundation-models\/\" \/>\n<meta property=\"og:site_name\" content=\"School of Science and Technology - Hong Kong Metropolitan University\" \/>\n<meta property=\"article:published_time\" content=\"2024-12-05T07:02:59+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-01-16T08:27:22+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.hkmu.edu.hk\/st\/wp-content\/uploads\/sites\/25\/2023\/03\/Artificial-Intelligence.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1500\" \/>\n\t<meta property=\"og:image:height\" content=\"1000\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"KE\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"KE\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"CRANT Talk Series: Adverse Weather Visual Restoration: From Classical CNNs to Foundation Models - School of Science and Technology - Hong Kong Metropolitan University","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.hkmu.edu.hk\/st\/events\/crant-talks-series-adverse-weather-visual-restoration-from-classical-cnns-to-foundation-models\/","og_locale":"en_US","og_type":"article","og_title":"CRANT Talk Series: Adverse Weather Visual Restoration: From Classical CNNs to Foundation Models","og_description":"Speaker: Dr Lei Zhu, Robotics and Autonomous Systems (ROAS) Thrust &amp; 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