4 citations · 7 across the 6 of their papers we have counts for
6 papers
SEAL: Semantic Attention Learning for Long Video Representation
Lan Wang, Yujia Chen, Du Tran +2
Long video understanding presents challenges due to the inherent high computational complexity and redundant temporal information. An effective representation for long videos must…
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations
Litu Rout, Yujia Chen, Nataniel Ruiz +3
Generative models transform random noise into images; their inversion aims to transform images back to structured noise for recovery and editing. This paper addresses two key tasks…
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control
Litu Rout, Yujia Chen, Nataniel Ruiz +4
We propose Reference-Based Modulation (RB-Modulation), a new plug-and-play solution for training-free personalization of diffusion models. Existing training-free approaches exhibit…
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion
Litu Rout, Yujia Chen, Abhishek Kumar +3
Sampling from the posterior distribution poses a major computational challenge in solving inverse problems using latent diffusion models. Common methods rely on Tweedie's first-ord…
Adversarial Occlusion-aware Face Detection
Yujia Chen, Lingxiao Song, Ran He
Occluded face detection is a challenging detection task due to the large appearance variations incurred by various real-world occlusions. This paper introduces an Adversarial Occlu…
GM-Net: Learning Features with More Efficiency
Yujia Chen, Ce Li
Deep Convolutional Neural Networks (CNNs) are capable of learning unprecedentedly effective features from images. Some researchers have struggled to enhance the parameters' efficie…