Real Time
Real-time processing focuses on developing systems capable of analyzing and responding to data instantaneously, crucial for applications demanding immediate feedback. Current research emphasizes efficient algorithms and model architectures, such as those based on deep learning, to reduce computational latency in diverse domains including robotics, healthcare, and AI-assisted tutoring. This field's advancements are driving progress in areas like autonomous navigation, personalized healthcare monitoring, and human-computer interaction, enabling more responsive and effective systems.
Papers
Real-Time Interactions Between Human Controllers and Remote Devices in Metaverse
Kan Chen, Zhen Meng, Xiangmin Xu, Changyang She, Philip G. Zhao
Optimal camera-robot pose estimation in linear time from points and lines
Guangyang Zeng, Biqiang Mu, Qingcheng Zeng, Yuchen Song, Chulin Dai, Guodong Shi, Junfeng Wu
UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization
Md Nayem Uddin, Amir Saeidi, Divij Handa, Agastya Seth, Tran Cao Son, Eduardo Blanco, Steven R. Corman, Chitta Baral
Advanced Smart City Monitoring: Real-Time Identification of Indian Citizen Attributes
Shubham Kale, Shashank Sharma, Abhilash Khuntia