output
20022025
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

Showing 2021Show all

24 papers · 1 filter

cs.CV20213 cited

NeRV: Neural Representations for Videos

Hao Chen, Bo He, Hanyu Wang +3

We propose a novel neural representation for videos (NeRV) which encodes videos in neural networks. Unlike conventional representations that treat videos as frame sequences, we rep…

cs.SD2021

Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience

Wei-Tsung Lu, Meng-Hsuan Wu, Yuh-Ming Chiu +1

The subjective evaluation of music generation techniques has been mostly done with questionnaire-based listening tests while ignoring the perspectives from music composition, arran…

eess.AS20213 cited

Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features

Wei-Han Hsu, Bo-Yu Chen, Yi-Hsuan Yang

Along with the evolution of music technology, a large number of styles, or "subgenres," of Electronic Dance Music(EDM) have emerged in recent years. While the classification task o…

cs.IR20215 cited

Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization

Hsu-Chao Lai, Jui-Yi Tsai, Hong-Han Shuai +3

In contrast to traditional online videos, live multi-streaming supports real-time social interactions between multiple streamers and viewers, such as donations. However, donation a…

math.DG2021

Normal Forms of second order Ordinary Differential Equations under Fibre-Preserving Maps

Wei Guo Foo, Julien Heyd, Joël Merker

We study the equivalence problem of classifying second order ordinary differential equations modulo fibre-preserving point transformations

cs.SD20215 cited

SurpriseNet: Melody Harmonization Conditioning on User-controlled Surprise Contours

Yi-Wei Chen, Hung-Shin Lee, Yen-Hsing Chen +1

The surprisingness of a song is an essential and seemingly subjective factor in determining whether the listener likes it. With the help of information theory, it can be described…