379 citations · 620 across the 6 of their papers we have counts for
6 papers · 1 filter
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition
Sijie Song, Jiaying Liu, Yanghao Li +1
With the prevalence of RGB-D cameras, multi-modal video data have become more available for human action recognition. One main challenge for this task lies in how to effectively le…
Temporal Bilinear Networks for Video Action Recognition
Yanghao Li, Sijie Song, Yuqi Li +1
Temporal modeling in videos is a fundamental yet challenging problem in computer vision. In this paper, we propose a novel Temporal Bilinear (TB) model to capture the temporal pair…
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding
Chunhui Liu, Yueyu Hu, Yanghao Li +2
Despite the fact that many 3D human activity benchmarks being proposed, most existing action datasets focus on the action recognition tasks for the segmented videos. There is a lac…
Demystifying Neural Style Transfer
Yanghao Li, Naiyan Wang, Jiaying Liu +1
Neural Style Transfer has recently demonstrated very exciting results which catches eyes in both academia and industry. Despite the amazing results, the principle of neural style t…
Factorized Bilinear Models for Image Recognition
Yanghao Li, Naiyan Wang, Jiaying Liu +1
Although Deep Convolutional Neural Networks (CNNs) have liberated their power in various computer vision tasks, the most important components of CNN, convolutional layers and fully…
Revisiting Batch Normalization For Practical Domain Adaptation
Yanghao Li, Naiyan Wang, Jianping Shi +2
Deep neural networks (DNN) have shown unprecedented success in various computer vision applications such as image classification and object detection. However, it is still a common…