{"id":13,"date":"2025-05-06T20:35:12","date_gmt":"2025-05-06T20:35:12","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/2025team3\/?page_id=13"},"modified":"2025-12-11T06:24:28","modified_gmt":"2025-12-11T06:24:28","slug":"resources","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2025team3\/resources\/","title":{"rendered":"Resources"},"content":{"rendered":"\n

Fall 2025 Presentations<\/h2>\n\n\n\n

Fall Poster Presentation<\/a><\/p>\n\n\n\n

Fall Slideshow Presentation<\/a><\/p>\n\n\n\n

Spring 2025 Presentations<\/h2>\n\n\n\n

Spring Poster Presentation<\/a><\/p>\n\n\n\n

Spring Slideshow Presentation<\/a><\/p>\n\n\n\n

Spring Video Presentation<\/a><\/p>\n\n\n\n

Spring Video<\/a><\/p>\n\n\n\n

References<\/h2>\n\n\n\n

[1] Ali, S., Zhou, F., Daul, C., Braden, B., Bailey, A., Realdon, S., Rittscher, J. (2019). Endoscopy artifact detection (EAD 2019) challenge dataset<\/p>\n\n\n\n

[2] Daher R, Vasconcelos F, Stoyanov D. A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its Effect on Image Correspondence. Medical Image
Analysis. 2023.<\/p>\n\n\n\n

[3] Kawar, B., Elad, M., Ermon, S., & Song, J. (2022). Denoising diffusion restoration models. Advances in Neural Information Processing Systems.<\/p>\n\n\n\n

[4] Nichol, A. Q., & Dhariwal, P. (2021, July). Improved denoising diffusion probabilistic models. In International conference on machine learning (pp. 8162-8171). PMLR.<\/p>\n\n\n\n

[5] R. Suvorov, E. Logacheva, A. Mashikhin, A. Remizova, A. Ashukha, A. Silvestrov, N. Kong, et al. \u201cResolution-robust Large Mask Inpainting with Fourier Convolutions (LaMa).\u201d WACV 2022, 2022.<\/p>\n","protected":false},"excerpt":{"rendered":"

Fall 2025 Presentations Fall Poster Presentation Fall Slideshow Presentation Spring 2025 Presentations Spring Poster Presentation Spring Slideshow Presentation Spring Video Presentation Spring Video References [1] Ali, S., Zhou, F., Daul, C., Braden, B., Bailey, A., Realdon, S., Rittscher, J. (2019). Endoscopy artifact detection (EAD 2019) challenge dataset [2] Daher R, Vasconcelos F, Stoyanov D. A … <\/p>\n

Continue reading “Resources”<\/span><\/a><\/p>\n","protected":false},"author":226,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-13","page","type-page","status-publish","hentry"],"yoast_head":"\nResources - Photometric Image Enhancement For Robotic Endoscopy<\/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:\/\/mscvprojects.ri.cmu.edu\/2025team3\/resources\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Resources - Photometric Image Enhancement For Robotic Endoscopy\" \/>\n<meta property=\"og:description\" content=\"Fall 2025 Presentations Fall Poster Presentation Fall Slideshow Presentation Spring 2025 Presentations Spring Poster Presentation Spring Slideshow Presentation Spring Video Presentation Spring Video References [1] Ali, S., Zhou, F., Daul, C., Braden, B., Bailey, A., Realdon, S., Rittscher, J. (2019). Endoscopy artifact detection (EAD 2019) challenge dataset [2] Daher R, Vasconcelos F, Stoyanov D. 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(2019). Endoscopy artifact detection (EAD 2019) challenge dataset [2] Daher R, Vasconcelos F, Stoyanov D. 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