6 papers
Towards Complementary Keypoint Detection via Mixture of Detectors
Xiaoyong Lu, Guobao Xiao, Dong Liang +1
Keypoint detection plays a central role in geometric vision pipelines. Existing detectors exhibit complementary strengths across different scene structures and keypoint budgets, an…
Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives
Songlin Du, Xiaoyong Lu, Zeyu Wu +5
Cross-view feature matching aims to establish reliable correspondences across images with large viewpoint variations. Over the past decade, the field has evolved from task-specific…
EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception
Haosheng Chen, Lian Luo, Mengjingcheng Mo +4
Event cameras, characterized by microsecond temporal resolution and very High Dynamic Range (HDR), emit high-speed event streams for perception tasks. In recent advancements, Graph…
Latent Semantic Consensus For Deterministic Geometric Model Fitting
Guobao Xiao, Jun Yu, Jiayi Ma +2
Estimating reliable geometric model parameters from the data with severe outliers is a fundamental and important task in computer vision. This paper attempts to sample high-quality…
BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning
Xiangyang Miao, Guobao Xiao, Shiping Wang +1
Correspondence pruning aims to establish reliable correspondences between two related images and recover relative camera motion. Existing approaches often employ a progressive stra…
Graph Context Transformation Learning for Progressive Correspondence Pruning
Junwen Guo, Guobao Xiao, Shiping Wang +1
Most of existing correspondence pruning methods only concentrate on gathering the context information as much as possible while neglecting effective ways to utilize such informatio…