2 citations · 3 across the 10 of their papers we have counts for
10 papers
Synthesis and editing of multi-instrument audio mixtures using scalar-quantised latents with MIDI Span conditioning
Sungkyun Chang, Keshav Bhandari, Simon Dixon +1
Music creation often involves iterative refinement, changing selected musical details while retaining the rest. To support such refinement, we introduce SpanSynth-Edit, a flow-matc…
Text2Score: Generating Sheet Music From Textual Prompts
Keshav Bhandari, Sungkyun Chang, Abhinaba Roy +4
Developing text-driven symbolic music generation models remains challenging due to the scarcity of aligned text-music datasets and the unreliability of automated captioning pipelin…
ImprovNet -- Generating Controllable Musical Improvisations with Iterative Corruption Refinement
Keshav Bhandari, Sungkyun Chang, Tongyu Lu +4
Despite deep learning's remarkable advances in style transfer across various domains, generating controllable performance-level musical style transfer for complete symbolically rep…
Yin-Yang: Developing Motifs With Long-Term Structure And Controllability
Keshav Bhandari, Geraint A. Wiggins, Simon Colton
Transformer models have made great strides in generating symbolically represented music with local coherence. However, controlling the development of motifs in a structured way wit…
Text2midi: Generating Symbolic Music from Captions
Keshav Bhandari, Abhinaba Roy, Kyra Wang +3
This paper introduces text2midi, an end-to-end model to generate MIDI files from textual descriptions. Leveraging the growing popularity of multimodal generative approaches, text2m…
Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation
Keshav Bhandari, Simon Colton
Modelling musical structure is vital yet challenging for artificial intelligence systems that generate symbolic music compositions. This literature review dissects the evolution of…
Optical Flow Estimation in 360 Videos: Dataset, Model and Application
Bin Duan, Keshav Bhandari, Gaowen Liu +1
Optical flow estimation has been a long-lasting and fundamental problem in the computer vision community. However, despite the advances of optical flow estimation in perspective vi…
Learning Omnidirectional Flow in 360-degree Video via Siamese Representation
Keshav Bhandari, Bin Duan, Gaowen Liu +3
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 acco…
Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset
Keshav Bhandari, Mario A. DeLaGarza, Ziliang Zong +2
Recently, there has been a growing interest in wearable sensors which provides new research perspectives for 360 ° video analysis. However, the lack of 360 ° datasets in literature…
Revisiting Optical Flow Estimation in 360 Videos
Keshav Bhandari, Ziliang Zong, Yan Yan
Nowadays 360 video analysis has become a significant research topic in the field since the appearance of high-quality and low-cost 360 wearable devices. In this paper, we propose a…