activity
20152025
most citedAttention Bottlenecks for Multimodal Fusion

268 citations · 1.2k across the 23 of their papers we have counts for

collaborators

26 papers

cs.SD2025

Recomposer: Event-roll-guided generative audio editing

Daniel P. W. Ellis, Eduardo Fonseca, Ron J. Weiss +7

Editing complex real-world sound scenes is difficult because individual sound sources overlap in time. Generative models can fill-in missing or corrupted details based on their str…

cs.CL2024

Long-Form Speech Generation with Spoken Language Models

Se Jin Park, Julian Salazar, Aren Jansen +3

We consider the generative modeling of speech over multiple minutes, a requirement for long-form multimedia generation and audio-native voice assistants. However, textless spoken l…

cs.LG2024★ 1 cited

MELODI: Exploring Memory Compression for Long Contexts

Yinpeng Chen, DeLesley Hutchins, Aren Jansen +3

We present MELODI, a novel memory architecture designed to efficiently process long documents using short context windows. The key principle behind MELODI is to represent short-ter…

cs.CV2024★ 1 cited

A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation

Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su +8

Training diffusion models for audiovisual sequences allows for a range of generation tasks by learning conditional distributions of various input-output combinations of the two mod…

cs.LG2023★ 11 cited

Dataset balancing can hurt model performance

R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca +3

Machine learning from training data with a skewed distribution of examples per class can lead to models that favor performance on common classes at the expense of performance on ra…

cs.SD2023★ 2 cited

V2Meow: Meowing to the Visual Beat via Video-to-Music Generation

Kun Su, Judith Yue Li, Qingqing Huang +8

Video-to-music generation demands both a temporally localized high-quality listening experience and globally aligned video-acoustic signatures. While recent music generation models…