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20242026
most citedMOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing

9 citations · 14 across the 12 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

Towards Reproducible Learning-based Compression

Jiahao Pang, Muhammad Asad Lodhi, Junghyun Ahn +2

A deep learning system typically suffers from a lack of reproducibility that is partially rooted in hardware or software implementation details. The irreproducibility leads to skep…

cs.SD2024★ 9 cited

MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing

Yu-Fen Huang, Nikki Moran, Simon Coleman +12

In cross-modal music processing, translation between visual, auditory, and semantic content opens up new possibilities as well as challenges. The construction of such a transformat…

cs.MM2024

Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor

Yuning Huang, Mohamed Abul Hassan, Jiangpeng He +6

Detecting an ingestion environment is an important aspect of monitoring dietary intake. It provides insightful information for dietary assessment. However, it is a challenging prob…

eess.IV2024★ 5 cited

Flexible Variable-Rate Image Feature Compression for Edge-Cloud Systems

Md Adnan Faisal Hossain, Zhihao Duan, Yuning Huang +1

Feature compression is a promising direction for coding for machines. Existing methods have made substantial progress, but they require designing and training separate neural netwo…

eess.IV2024

Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs

Yichi Zhang, Zhihao Duan, Yuning Huang +1

Recent studies reveal a significant theoretical link between variational autoencoders (VAEs) and rate-distortion theory, notably in utilizing VAEs to estimate the theoretical upper…

cs.CV2024

Probing Image Compression For Class-Incremental Learning

Justin Yang, Zhihao Duan, Andrew Peng +3

Image compression emerges as a pivotal tool in the efficient handling and transmission of digital images. Its ability to substantially reduce file size not only facilitates enhance…