no code implementations • 12 Mar 2024 • Keshav Bhandari, Simon Colton
Modelling musical structure is vital yet challenging for artificial intelligence systems that generate symbolic music compositions.
no code implementations • 27 Jan 2023 • Bin Duan, Keshav Bhandari, Gaowen Liu, Yan Yan
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.
no code implementations • 7 Aug 2022 • Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan
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.
no code implementations • 15 Oct 2020 • Keshav Bhandari, Mario A. DeLaGarza, Ziliang Zong, Hugo Latapie, Yan Yan
To bridge this gap, in this paper we propose a novel Egocentric (first-person) 360{\deg} Kinetic human activity video dataset (EgoK360).
no code implementations • 15 Oct 2020 • Keshav Bhandari, Ziliang Zong, Yan Yan
Second, we refine the network by training with augmented data in a supervised manner.