activity
20182021
most citedContextDesc: Local Descriptor Augmentation with Cross-Modality Context

22 citations · 72 across the 7 of their papers we have counts for

collaborators

13 papers

cs.CV2021

Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors

Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim +9

As autonomous driving and augmented reality evolve, a practical concern is data privacy. In particular, these applications rely on localization based on user images. The widely ado…

cs.CV2020

Domain Adaptation of Learned Features for Visual Localization

Sungyong Baik, Hyo Jin Kim, Tianwei Shen +3

We tackle the problem of visual localization under changing conditions, such as time of day, weather, and seasons. Recent learned local features based on deep neural networks have…

cs.CV20201 cited

Learning Stereo Matchability in Disparity Regression Networks

Jingyang Zhang, Yao Yao, Zixin Luo +4

Learning-based stereo matching has recently achieved promising results, yet still suffers difficulties in establishing reliable matches in weakly matchable regions that are texture…

cs.CV202010 cited

Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency

Jiaxiang Shang, Tianwei Shen, Shiwei Li +4

Recent learning-based approaches, in which models are trained by single-view images have shown promising results for monocular 3D face reconstruction, but they suffer from the ill-…

cs.CV202018 cited

Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts

Mingmin Zhen, Jinglu Wang, Lei Zhou +5

In this paper, we present a joint multi-task learning framework for semantic segmentation and boundary detection. The critical component in the framework is the iterative pyramid c…

cs.CV2020

KFNet: Learning Temporal Camera Relocalization using Kalman Filtering

Lei Zhou, Zixin Luo, Tianwei Shen +5

Temporal camera relocalization estimates the pose with respect to each video frame in sequence, as opposed to one-shot relocalization which focuses on a still image. Even though th…