13 citations · 23 across the 6 of their papers we have counts for
7 papers · 1 filter
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies
Xiao Guo, Jongmoo Choi
Human motion prediction from motion capture data is a classical problem in the computer vision, and conventional methods take the holistic human body as input. These methods ignore…
Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks
Ye Wang, Yueru Chen, Jongmoo Choi +1
This paper reports a visible and thermal drone monitoring system that integrates deep-learning-based detection and tracking modules. The biggest challenge in adopting deep learning…
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation
Ye Wang, Jongmoo Choi, Yueru Chen +5
Unsupervised video object segmentation is a crucial application in video analysis without knowing any prior information about the objects. It becomes tremendously challenging when…
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation
Ye Wang, Jongmoo Choi, Yueru Chen +4
One major technique debt in video object segmentation is to label the object masks for training instances. As a result, we propose to prepare inexpensive, yet high quality pseudo g…
A Deep Learning Approach to Drone Monitoring
Yueru Chen, Pranav Aggarwal, Jongmoo Choi +1
A drone monitoring system that integrates deep-learning-based detection and tracking modules is proposed in this work. The biggest challenge in adopting deep learning methods for d…
Deep 3D Face Identification
Donghyun Kim, Matthias Hernandez, Jongmoo Choi +1
We propose a novel 3D face recognition algorithm using a deep convolutional neural network (DCNN) and a 3D augmentation technique. The performance of 2D face recognition algorithms…