46 citations · 113 across the 19 of their papers we have counts for
6 papers · 1 filter
Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022
Jiachen Lei, Shuang Ma, Zhongjie Ba +3
In this report, we present our approach and empirical results of applying masked autoencoders in two egocentric video understanding tasks, namely, Object State Change Classificatio…
Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck
Shuang Ma, Daniel McDuff, Yale Song
Deep generative models have led to significant advances in cross-modal generation such as text-to-image synthesis. Training these models typically requires paired data with direct…
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention
Shuang Ma, Daniel McDuff, Yale Song
Generative adversarial networks have led to significant advances in cross-modal/domain translation. However, typically these networks are designed for a specific task (e.g., dialog…
Characterizing Bias in Classifiers using Generative Models
Daniel McDuff, Shuang Ma, Yale Song +1
Models that are learned from real-world data are often biased because the data used to train them is biased. This can propagate systemic human biases that exist and ultimately lead…
DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)
Shuang Ma, Jianlong Fu, Chang Wen Chen +1
Unsupervised image translation, which aims in translating two independent sets of images, is challenging in discovering the correct correspondences without paired data. Existing wo…
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
Shuang Ma, Jing Liu, Chang Wen Chen
Deep convolutional neural networks (CNN) have recently been shown to generate promising results for aesthetics assessment. However, the performance of these deep CNN methods is oft…