5 citations · 7 across the 5 of their papers we have counts for
9 papers
The Monocular Depth Estimation Challenge
Jaime Spencer, C. Stella Qian, Chris Russell +16
This paper summarizes the results of the first Monocular Depth Estimation Challenge (MDEC) organized at WACV2023. This challenge evaluated the progress of self-supervised monocular…
Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning
Wenqi Ren, Qiyu Sun, Chaoqiang Zhao +1
Learning-based image dehazing methods are essential to assist autonomous systems in enhancing reliability. Due to the domain gap between synthetic and real domains, the internal in…
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview
Wenqi Ren, Yang Tang, Qiyu Sun +2
Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block, and it plays a cr…
Learn to Adapt for Monocular Depth Estimation
Qiyu Sun, Gary G. Yen, Yang Tang +1
Monocular depth estimation is one of the fundamental tasks in environmental perception and has achieved tremendous progress in virtue of deep learning. However, the performance of…
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency
Chongzhen Zhang, Yang Tang, Chaoqiang Zhao +3
Semantic segmentation and depth completion are two challenging tasks in scene understanding, and they are widely used in robotics and autonomous driving. Although several works are…
Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency
Chaoqiang Zhao, Gary G. Yen, Qiyu Sun +2
Previous work has shown that adversarial learning can be used for unsupervised monocular depth and visual odometry (VO) estimation, in which the adversarial loss and the geometric…