742 citations · 769 across the 5 of their papers we have counts for
5 papers
CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning
Kaiqiang Xiong, Rui Peng, Zhe Zhang +4
Unsupervised Multi-View Stereo (MVS) methods have achieved promising progress recently. However, previous methods primarily depend on the photometric consistency assumption, which…
Disparity-based Stereo Image Compression with Aligned Cross-View Priors
Yongqi Zhai, Luyang Tang, Yi Ma +2
With the wide application of stereo images in various fields, the research on stereo image compression (SIC) attracts extensive attention from academia and industry. The core of SI…
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
Rui Peng, Rongjie Wang, Zhenyu Wang +2
Depth estimation is solved as a regression or classification problem in existing learning-based multi-view stereo methods. Although these two representations have recently demonstr…
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Rui Peng, Ronggang Wang, Yawen Lai +2
Self-supervised methods play an increasingly important role in monocular depth estimation due to their great potential and low annotation cost. To close the gap with supervised met…
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu, Rui Peng, Yu-Wing Tai +1
State-of-the-art neural networks are getting deeper and wider. While their performance increases with the increasing number of layers and neurons, it is crucial to design an effici…