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Effective presentation skills are essential in education, professional communication, and public speaking, yet learners often lack access to high-quality exemplars or personalized coaching. Existing AI tools typically provide isolated…

Human-Computer Interaction · Computer Science 2025-11-25 Sirui Chen , Jinsong Zhou , Xinli Xu , Xiaoyu Yang , Litao Guo , Ying-Cong Chen

Vision-Language Models (VLMs) can process visual and textual information in multiple formats: texts, images, interleaved texts and images, or even hour-long videos. In this work, we conduct fine-grained quantitative and qualitative analyses…

Computer Vision and Pattern Recognition · Computer Science 2025-04-15 Théo Gigant , Camille Guinaudeau , Frédéric Dufaux

COVID-19 has driven most schools to remote learning through online meeting software such as Zoom and Google Meet. Although this trend helps students continue learning without in-person classes, it removes a vital tool that teachers use to…

Machine Learning · Computer Science 2021-09-24 Daben Kyle Liu

Effective learning with audiovisual content depends on many factors. Besides the quality of the learning resource's content, it is essential to discover the most relevant and suitable video in order to support the learning process most…

Multimedia · Computer Science 2019-12-24 Hang Zhou , Christian Otto , Ralph Ewerth

Evaluating teaching effectiveness at scale remains a persistent challenge for large universities, particularly within engineering programs that enroll tens of thousands of students. Traditional methods, such as manual review of student…

Computers and Society · Computer Science 2025-08-06 Jean-Francois Chamberland , Martin C. Carlisle , Arul Jayaraman , Krishna R. Narayanan , Sunay Palsole , Karan Watson

Text-guided generative diffusion models unlock powerful image creation and editing tools. While these have been extended to video generation, current approaches that edit the content of existing footage while retaining structure require…

Computer Vision and Pattern Recognition · Computer Science 2023-02-07 Patrick Esser , Johnathan Chiu , Parmida Atighehchian , Jonathan Granskog , Anastasis Germanidis

Observation of classroom interactions can provide concrete feedback to teachers, but current methods rely on manual annotation, which is resource-intensive and hard to scale. This work explores AI-driven analysis of classroom recordings,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Ivo Bueno , Ruikun Hou , Babette Bühler , Tim Fütterer , James Drimalla , Jonathan Kyle Foster , Peter Youngs , Peter Gerjets , Ulrich Trautwein , Enkelejda Kasneci

Artificial intelligence generative content (AIGC) has significantly impacted image generation in the field of remote sensing. However, the equally important area of remote sensing image (RSI) editing has not received sufficient attention.…

Computer Vision and Pattern Recognition · Computer Science 2025-07-02 Fangzhou Han , Lingyu Si , Zhizhuo Jiang , Hongwei Dong , Lamei Zhang , Yu Liu , Hao Chen , Bo Du

Machine learning enables the development of new, supplemental, and empowering tools that can either expand existing technologies or invent new ones. In education, space exists for a tool that supports generic student course review formats…

Computation and Language · Computer Science 2023-01-18 Ben Hoar , Roshini Ramachandran , Marc Levis , Erin Sparck , Ke Wu , Chong Liu

The ability to perform semantic segmentation in real-time capable applications with limited hardware is of great importance. One such application is the interpretation of the visual bird's-eye view, which requires the semantic segmentation…

Computer Vision and Pattern Recognition · Computer Science 2018-11-30 Timo Sämann , Karl Amende , Stefan Milz , Christian Witt , Martin Simon , Johannes Petzold

This paper focuses on enhancing the captions generated by image-caption generation systems. We propose an approach for improving caption generation systems by choosing the most closely related output to the image rather than the most likely…

Computation and Language · Computer Science 2023-07-10 Ahmed Sabir

In the last two decades, automatic extractive text summarization on lectures has demonstrated to be a useful tool for collecting key phrases and sentences that best represent the content. However, many current approaches utilize dated…

Computation and Language · Computer Science 2019-06-12 Derek Miller

Nonverbal communication, in particular eye contact, is a critical element of the music classroom, shown to keep students on task, coordinate musical flow, and communicate improvisational ideas. Unfortunately, this nonverbal aspect to…

Human-Computer Interaction · Computer Science 2021-05-24 Ross Greer , Shlomo Dubnov

YouTube users looking for instructions for a specific task may spend a long time browsing content trying to find the right video that matches their needs. Creating a visual summary (abridged version of a video) provides viewers with a quick…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Medhini Narasimhan , Arsha Nagrani , Chen Sun , Michael Rubinstein , Trevor Darrell , Anna Rohrbach , Cordelia Schmid

This paper proposes a video editor based on OpenShot with several state-of-the-art facial video editing algorithms as added functionalities. Our editor provides an easy-to-use interface to apply modern lip-syncing algorithms interactively.…

Computer Vision and Pattern Recognition · Computer Science 2021-10-19 Anchit Gupta , Faizan Farooq Khan , Rudrabha Mukhopadhyay , Vinay P. Namboodiri , C. V. Jawahar

Text-level discourse parsing aims to unmask how two sentences in the text are related to each other. We propose the task of Visual Discourse Parsing, which requires understanding discourse relations among scenes in a video. Here we use the…

Computer Vision and Pattern Recognition · Computer Science 2022-01-25 Arjun R. Akula , Song-Chun Zhu

Many people with some form of hearing loss consider lipreading as their primary mode of day-to-day communication. However, finding resources to learn or improve one's lipreading skills can be challenging. This is further exacerbated in the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Aditya Agarwal , Bipasha Sen , Rudrabha Mukhopadhyay , Vinay Namboodiri , C. V Jawahar

There has been a recent and rapid shift to digital learning hastened by the pandemic but also influenced by ubiquitous availability of digital tools and platforms now, making digital learning ever more accessible. An integral and one of the…

Semantic segmentation and activity classification are key components to creating intelligent surgical systems able to understand and assist clinical workflow. In the Operating Room, semantic segmentation is at the core of creating robots…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Idris Hamoud , Alexandros Karargyris , Aidean Sharghi , Omid Mohareri , Nicolas Padoy

Semantic cues and statistical regularities in real-world environment layouts can improve efficiency for navigation in novel environments. This paper learns and leverages such semantic cues for navigating to objects of interest in novel…

Computer Vision and Pattern Recognition · Computer Science 2020-10-28 Matthew Chang , Arjun Gupta , Saurabh Gupta
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