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- University of MichiganUS43 papers
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- Joint Institute for Nuclear ResearchRU41 papers
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- University of New MexicoUS40 papers
- University of TsukubaJP40 papers
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- Institute of Physics, Academia SinicaTW39 papers
- National and Kapodistrian University of AthensGR39 papers
15 papers · 1 filter
Clustering-friendly Representation Learning for Enhancing Salient Features
Toshiyuki Oshima, Kentaro Takagi, Kouta Nakata
Recently, representation learning with contrastive learning algorithms has been successfully applied to challenging unlabeled datasets. However, these methods are unable to disting…
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning
Sarwar Khan
Deepfake technology has raised concerns about the authenticity of digital content, necessitating the development of effective detection methods. However, the widespread availabilit…
MAAIG: Motion Analysis And Instruction Generation
Wei-Hsin Yeh, Pei Hsin Lin, Yu-An Su +2
Many people engage in self-directed sports training at home but lack the real-time guidance of professional coaches, making them susceptible to injuries or the development of incor…
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…
TinyGAN: Distilling BigGAN for Conditional Image Generation
Ting-Yun Chang, Chi-Jen Lu
Generative Adversarial Networks (GANs) have become a powerful approach for generative image modeling. However, GANs are notorious for their training instability, especially on larg…
Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts
Cheng-Che Lee, Wan-Yi Lin, Yen-Ting Shih +2
Music-to-visual style transfer is a challenging yet important cross-modal learning problem in the practice of creativity. Its major difference from the traditional image style tran…