반응형 논문&세미나 리뷰10 A Deep Learning Approach to Upscaling “Low-Quality” MR Images: An In Silico Comparison Study Based on the UNet Framework 논문 출처 ➡️ https://www.mdpi.com/2076-3417/12/22/11758 A Deep Learning Approach to Upscaling “Low-Quality” MR Images: An In Silico Comparison Study Based on the UNet FrameworkMR scans of low-gamma X-nuclei, low-concentration metabolites, or standard imaging at very low field entail a challenging tradeoff between resolution, signal-to-noise, and acquisition duration. Deep learning (DL) techniques, s.. 2024. 9. 11. Human-Understanding AI, Prof.Gyeong-Sik Moon : Authentic Hand Avatar from a Phone Scan via Universal Hand Model 논문 출처 ➡️ https://arxiv.org/abs/2405.07933 Authentic Hand Avatar from a Phone Scan via Universal Hand ModelThe authentic 3D hand avatar with every identifiable information, such as hand shapes and textures, is necessary for immersive experiences in AR/VR. In this paper, we present a universal hand model (UHM), which 1) can universally represent high-fidelity 3Darxiv.org Speaker IntroductionFie.. 2024. 9. 11. RadarNet: Efficient Gesture Recognition TechniqueUtilizing a Miniature Radar Sensor 요약 논문 출처 ➡️ https://dl.acm.org/doi/10.1145/3411764.3445367 RadarNet: Efficient Gesture Recognition Technique Utilizing a Miniature Radar Sensor | Proceedings of the 2021 CHI Conference onMobile phones or video game controllers using gesture recognition technologies enable easy and intuitive operations. However, usually only one of each type of sensor is installed in each device, and the effect of m.. 2024. 5. 2. Bubbleu: Exploring Augmented Reality Game Design with Uncertain AI-based Interaction 요약 논문 출처 ➡️ https://dl.acm.org/doi/full/10.1145/3544548.3581270 Bubbleu: Exploring Augmented Reality Game Design with Uncertain AI-based Interaction | Proceedings of the 2023 CHI Conference onABSTRACT Object detection, while being an attractive interaction method for Augmented Reality (AR), is fundamentally error-prone due to the probabilistic nature of the underlying AI models, resulting in sub-op.. 2024. 5. 2. SmartPoser: Arm Pose Estimation with a Smartphone and Smartwatch Using UWB and IMU Data 요약 논문 출처 ➡️ https://dl.acm.org/doi/10.1145/3586183.3606821 SmartPoser: Arm Pose Estimation with a Smartphone and Smartwatch Using UWB and IMU Data | Proceedings of the 36th Annual ACM SymABSTRACT The ability to track a user’s arm pose could be valuable in a wide range of applications, including fitness, rehabilitation, augmented reality input, life logging, and context-aware assistants. Unfortunate.. 2024. 5. 2. Pair-Up: Prototyping Human-AI Co-orchestration of Dynamic Transitions between Individual and Collaborative Learning in the Classroom 요약 논문출처 ➡️ https://dl.acm.org/doi/full/10.1145/3544548.3581398 Pair-Up: Prototyping Human-AI Co-orchestration of Dynamic Transitions between Individual and Collaborative Learning in the Class Skip 1INTRODUCTION Section1 INTRODUCTIONClassroom teaching is a dynamic and complex job: it can require teachers to improvise to deliver the most effective instructional support for students at any given momen.. 2024. 4. 10. “It’s Kind of Like Code-Switching”: Black Older Adults’ Experiences with a Voice Assistant for Health Information Seeking 요약 논문 출처 ➡️ https://dl.acm.org/doi/abs/10.1145/3491102.3501995 “It’s Kind of Like Code-Switching”: Black Older Adults’ Experiences with a Voice Assistant for Health Information Seekin Although voice assistants are increasingly being adopted by older adults, we lack empirical research on how they interact with these devices for health information seeking. Also, prior work shows how voice assistant r.. 2024. 4. 10. Enabling Conversational Interaction with Mobile UI using Large Language Models 요약 논문 출처 ➡️ https://arxiv.org/abs/2209.08655 Enabling Conversational Interaction with Mobile UI using Large Language Models Conversational agents show the promise to allow users to interact with mobile devices using language. However, to perform diverse UI tasks with natural language, developers typically need to create separate datasets and models for each specific task, which arxiv.org Abstract 대.. 2024. 4. 9. Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI 요약 논문 출처 ➡️ https://hcie.csail.mit.edu/research/style2fab/style2fab.html Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI With recent advances in Generative AI, it is becoming easier to automatically manipulate 3D models. However, current methods tend to apply edits to models globally, which risks compromising the intended functionality of the 3D.. 2024. 4. 9. [Seminar] Stealthy neural recorder for studying naturalistic behavior in primates. 요약 연사 : DGIST 로봇및기계전자공학과 오세혁 박사과정주제 : Stealthy neural recorder for studying naturalistic behavior in primates. 1. 주요 주제뇌 활동을 이해하기 위한 동물 모델 연구안정적인 무선 전력 공급을 위한 기술 개발본능 행동 분류를 위한 기술 개발2. 요약 영장류의 뇌영장류의 뇌가 망가지게 되면 행동들에 장애가 생기게 됨행동 속에 내재되어 있는 뇌 활동을 이해하는 것은 굉장히 중요함자연스러운 본능 행동을 연구하기 위해서는 어떤 동물 모델이 적합한지에 대해 이야기하고 있음3. 영장류의 섭식 행동 단계 분류디바이스 전체가 유연해야 장기간 매립한 상태에서 신호를 측정할 수가 있음신호를 측정한 다음에 적절한 신호 처리와 인공지능 기반의 모.. 2024. 3. 27. 이전 1 다음 728x90 반응형
