23 citations · 83 across the 17 of their papers we have counts for
3 papers · 1 filter
UAVM: Towards Unifying Audio and Visual Models
Yuan Gong, Alexander H. Liu, Andrew Rouditchenko +1
Conventional audio-visual models have independent audio and video branches. In this work, we unify the audio and visual branches by designing a Unified Audio-Visual Model (UAVM). T…
Cross-Modal Discrete Representation Learning
Alexander H. Liu, SouYoung Jin, Cheng-I Jeff Lai +3
Recent advances in representation learning have demonstrated an ability to represent information from different modalities such as video, text, and audio in a single high-level emb…
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh +1
We present a novel and unified deep learning framework which is capable of learning domain-invariant representation from data across multiple domains. Realized by adversarial train…