Search Results for author:
Found 5 papers, 0 papers with code
Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation
Modelling musical structure is vital yet challenging for artificial intelligence systems that generate symbolic music compositions.
Optical Flow Estimation in 360$^\circ$ Videos: Dataset, Model and Application
Moreover, we present a novel Siamese representation Learning framework for Omnidirectional Flow (SLOF) estimation, which is trained in a contrastive manner via a hybrid loss that combines siamese contrastive and optical flow losses.
Learning Omnidirectional Flow in 360-degree Video via Siamese Representation
Optical flow estimation in omnidirectional videos faces two significant issues: the lack of benchmark datasets and the challenge of adapting perspective video-based methods to accommodate the omnidirectional nature.
Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset
To bridge this gap, in this paper we propose a novel Egocentric (first-person) 360{\deg} Kinetic human activity video dataset (EgoK360).
Revisiting Optical Flow Estimation in 360 Videos
Second, we refine the network by training with augmented data in a supervised manner.
