185 citations · 590 across the 29 of their papers we have counts for
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Frequency-Aware Self-Supervised Long-Tailed Learning
Ci-Siang Lin, Min-Hung Chen, Yu-Chiang Frank Wang
Data collected from the real world typically exhibit long-tailed distributions, where frequent classes contain abundant data while rare ones have only a limited number of samples.…
QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge
Hsi-Che Lin, Chien-Yi Wang, Min-Hung Chen +2
This technical report describes our QuAVF@NTU-NVIDIA submission to the Ego4D Talking to Me (TTM) Challenge 2023. Based on the observation from the TTM task and the provided dataset…
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
Yung-Hsuan Lai, Yen-Chun Chen, Yu-Chiang Frank Wang
Audio-visual learning has been a major pillar of multi-modal machine learning, where the community mostly focused on its modality-aligned setting, i.e., the audio and visual modali…