6 citations · 12 across the 5 of their papers we have counts for
5 papers
SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream
Lin Zhu, Kangmin Jia, Yifan Zhao +3
Spike cameras, leveraging spike-based integration sampling and high temporal resolution, offer distinct advantages over standard cameras. However, existing approaches reliant on sp…
"Can You Move It?": The Design and Evaluation of Moving VR Shots in Sport Broadcast
Xiuqi Zhu, Chenyi Wang, Zichun Guo +2
Virtual Reality (VR) broadcasting has seen widespread adoption in major sports events, attributed to its ability to generate a sense of presence, curiosity, and excitement among vi…
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Zeyin Song, Yifan Zhao, Yujun Shi +3
Few-shot class-incremental learning (FSCIL) aims at learning to classify new classes continually from limited samples without forgetting the old classes. The mainstream framework t…
Human-Machine Collaboration for Automated Vehicles via an Intelligent Two-Phase Haptic Interface
Chen Lv, Yutong Li, Yang Xing +4
Prior to realizing fully autonomous driving, human intervention will be required periodically to guarantee vehicle safety. This fact poses a new challenge in human-machine interact…
Utilizing Distance Metrics on Lineups to Examine What People Read From Data Plots
Niladri Roy Chowdhury, Dianne Cook, Heike Hofmann +2
Graphics play a crucial role in statistical analysis and data mining. This paper describes metrics developed to assist the use of lineups for making inferential statements. Lineups…