9 citations · 10 across the 4 of their papers we have counts for
4 papers
Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation
Kuan-Po Huang, Bo-Ru Lu, Byeonggeun Kim +8
Autoregressive (AR) models with diffusion heads have recently achieved strong text-to-audio performance, yet their iterative decoding and multi-step sampling process introduce high…
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction
Mihee Lee, Samuel S. Sohn, Seonghyeon Moon +3
Accurate long-term trajectory prediction in complex scenes, where multiple agents (e.g., pedestrians or vehicles) interact with each other and the environment while attempting to a…
Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations
Mihee Lee, Vladimir Pavlovic
Multi-modal generative models represent an important family of deep models, whose goal is to facilitate representation learning on data with multiple views or modalities. However,…
Fast and Effective Adaptation of Facial Action Unit Detection Deep Model
Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic +1
Detecting facial action units (AU) is one of the fundamental steps in automatic recognition of facial expression of emotions and cognitive states. Though there have been a variety…