33 citations · 60 across the 7 of their papers we have counts for
7 papers
Adaptive Feature Interpolation for Low-Shot Image Generation
Mengyu Dai, Haibin Hang, Xiaoyang Guo
Training of generative models especially Generative Adversarial Networks can easily diverge in low-data setting. To mitigate this issue, we propose a novel implicit data augmentati…
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo, Tianhao Zhao, Yutian Lin +1
Recently contrastive learning has shown significant progress in learning visual representations from unlabeled data. The core idea is training the backbone to be invariant to diffe…
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang +1
Stereo-based 3D detection aims at detecting 3D object bounding boxes from stereo images using intermediate depth maps or implicit 3D geometry representations, which provides a low-…
Group-wise Correlation Stereo Network
Xiaoyang Guo, Kai Yang, Wukui Yang +2
Stereo matching estimates the disparity between a rectified image pair, which is of great importance to depth sensing, autonomous driving, and other related tasks. Previous works b…
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
Mingyang Liang, Xiaoyang Guo, Hongsheng Li +2
Unsupervised cross-spectral stereo matching aims at recovering disparity given cross-spectral image pairs without any supervision in the form of ground truth disparity or depth. Th…
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Xiaoyang Guo, Hongsheng Li, Shuai Yi +2
Monocular depth estimation aims at estimating a pixelwise depth map for a single image, which has wide applications in scene understanding and autonomous driving. Existing supervis…
Neural Network Encapsulation
Hongyang Li, Xiaoyang Guo, Bo Dai +2
A capsule is a collection of neurons which represents different variants of a pattern in the network. The routing scheme ensures only certain capsules which resemble lower counterp…