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The current approach to marking attendance in colleges is tedious and time consuming. I propose AttenFace, a standalone system to analyze, track and grant attendance in real time using face recognition. Using snapshots of class from live…

Computer Vision and Pattern Recognition · Computer Science 2022-12-01 Ashwin Rao

We introduce Generative Lecture, a concept that makes existing lecture videos interactive through generative AI and AI clone instructors. By leveraging interactive avatars powered by HeyGen, ElevenLabs, and GPT-5, we embed an AI instructor…

Human-Computer Interaction · Computer Science 2025-12-30 Hye-Young Jo , Ada Yi Zhao , Xiaoan Liu , Ryo Suzuki

Traditional sign language teaching methods face challenges such as limited feedback and diverse learning scenarios. Although 2D resources lack real-time feedback, classroom teaching is constrained by a scarcity of teacher. Methods based on…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Hongli Wen , Yang Xu , Lin Li , Xudong Ru , Xingce Wang , Zhongke Wu

Videos are increasingly being used for e-learning, and transcripts are vital to enhance the learning experience. The costs and delays of generating transcripts can be alleviated by automatic speech recognition (ASR) systems. In this…

Computers and Society · Computer Science 2023-07-10 Ashwin Rao

The application of activity recognition in the ``AI + Education" field is gaining increasing attention. However, current work mainly focuses on the recognition of activities in manually captured videos and a limited number of activity…

Recently, the concept of teaching has been introduced into machine learning, in which a teacher model is used to guide the training of a student model (which will be used in real tasks) through data selection, loss function design, etc.…

Machine Learning · Computer Science 2021-01-13 Yang Fan , Yingce Xia , Lijun Wu , Shufang Xie , Weiqing Liu , Jiang Bian , Tao Qin , Xiang-Yang Li

This paper describes a system developed to help University students get more from their online lectures, tutorials, laboratory and other live sessions. We do this by logging their attention levels on their laptops during live Zoom sessions…

Multimedia · Computer Science 2021-01-19 Hyowon Lee , Mingming Liu , Hamza Riaz , Navaneethan Rajasekaren , Michael Scriney , Alan F. Smeaton

Many educational organizations are employing instructional video in their pedagogy, but there is limited understanding of the possible presentation styles. In practice, the presentation style of video lectures ranges from a direct recording…

Computers and Society · Computer Science 2020-01-01 Konstantinos Chorianopoulos

Video lectures are becoming more popular and in demand as online classroom teaching is becoming more prevalent. Massive Open Online Courses (MOOCs), such as NPTEL, have been creating high-quality educational content that is freely…

Information Retrieval · Computer Science 2024-01-04 Shalika Kumbham , Abhijit Debnath , Krothapalli Sreenivasa Rao

Purpose - Most industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. This is a tedious and time-consuming task that requires some technical expertise, and hence new approaches…

Robotics · Computer Science 2013-09-10 Pedro Neto , Norberto Pires , Paulo Moreira

The development of technologies of multimedia, linked to that of Internet and democratization of high outflow, has made henceforth E-learning possible for learners being in virtual classes and geographically distributed. The quality and…

Computer Vision and Pattern Recognition · Computer Science 2015-02-26 Bousaaid Mourad , Ayaou Tarik , Afdel Karim , Estraillier Pascal

Object class labelling is the task of annotating images with labels on the presence or absence of objects from a given class vocabulary. Simply asking one yes/no question per class, however, has a cost that is linear in the vocabulary size…

Computer Vision and Pattern Recognition · Computer Science 2019-04-12 Michael Gygli , Vittorio Ferrari

Controllability plays a crucial role in video generation, as it allows users to create and edit content more precisely. Existing models, however, lack control of camera pose that serves as a cinematic language to express deeper narrative…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Hao He , Yinghao Xu , Yuwei Guo , Gordon Wetzstein , Bo Dai , Hongsheng Li , Ceyuan Yang

Many application areas ranging from serious games for health to learning by demonstration in robotics, could benefit from large body movement datasets extracted from textual instructions accompanied by images. The interpretation of…

Human-Computer Interaction · Computer Science 2020-06-09 Himangshu Sarma , Robert Porzel , Jan Smeddinck , Rainer Malaka

Event cameras are novel sensors that output brightness changes in the form of a stream of asynchronous "events" instead of intensity frames. They offer significant advantages with respect to conventional cameras: high dynamic range (HDR),…

Computer Vision and Pattern Recognition · Computer Science 2020-04-02 Daniel Gehrig , Mathias Gehrig , Javier Hidalgo-Carrió , Davide Scaramuzza

In this paper, we consider the problem of machine teaching, the inverse problem of machine learning. Different from traditional machine teaching which views the learners as batch algorithms, we study a new paradigm where the learner uses an…

Machine Learning · Statistics 2017-11-21 Weiyang Liu , Bo Dai , Ahmad Humayun , Charlene Tay , Chen Yu , Linda B. Smith , James M. Rehg , Le Song

Robotic camera systems enable dynamic, repeatable motion beyond human capabilities, yet their adoption remains limited by the high cost and operational complexity of industrial-grade platforms. We present the Intelligent Robotic Imaging…

Robotics · Computer Science 2026-02-20 Qilong Cheng , Matthew Mackay , Ali Bereyhi

Over the past one hundred years, the classic teaching methodology of "see one, do one, teach one" has governed the surgical education systems worldwide. With the advent of Operation Room 2.0, recording video, kinematic and many other types…

Computer Vision and Pattern Recognition · Computer Science 2019-07-23 Hassan Ismail Fawaz , Germain Forestier , Jonathan Weber , François Petitjean , Lhassane Idoumghar , Pierre-Alain Muller

A wealth of Open Educational Resources is now available, and beyond the first and evident problem of finding them, the issue of articulating a set of resources is arising. When using audiovisual resources, among different possibilities,…

Computers and Society · Computer Science 2014-12-05 Olivier Aubert , Joscha Jaeger

In this work we present a multi-modal machine learning-based system, which we call ACORN, to analyze videos of school classrooms for the Positive Climate (PC) and Negative Climate (NC) dimensions of the CLASS observation protocol that is…

Computer Vision and Pattern Recognition · Computer Science 2021-07-26 Anand Ramakrishnan , Brian Zylich , Erin Ottmar , Jennifer LoCasale-Crouch , Jacob Whitehill