4 citations · 4 across the 2 of their papers we have counts for
5 papers
Scalable and Generalizable Correspondence Pruning via Geometry-Consistent Pre-training
Tangfei Liao, Xiaoqin Zhang, Tao Wang +4
Two-view correspondence pruning aims to identify reliable correspondences for camera pose estimation, serving as a fundamental step in many 3D vision tasks. Existing methods rely o…
VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning
Tangfei Liao, Xiaoqin Zhang, Li Zhao +2
Correspondence pruning aims to find correct matches (inliers) from an initial set of putative correspondences, which is a fundamental task for many applications. The process of fin…
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning
Tao Wang, Guangpin Tao, Wanglong Lu +4
Image restoration under hazy weather condition, which is called single image dehazing, has been of significant interest for various computer vision applications. In recent years, d…
DA-DETR: Domain Adaptive Detection Transformer with Information Fusion
Jingyi Zhang, Jiaxing Huang, Zhipeng Luo +3
The recent detection transformer (DETR) simplifies the object detection pipeline by removing hand-crafted designs and hyperparameters as employed in conventional two-stage object d…
Hierarchical Context Embedding for Region-based Object Detection
Zhao-Min Chen, Xin Jin, Borui Zhao +2
State-of-the-art two-stage object detectors apply a classifier to a sparse set of object proposals, relying on region-wise features extracted by RoIPool or RoIAlign as inputs. The…