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Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching
(2018)Lecture Notes in Computer Science ~ Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIIIConference Paper -
A minimal case solution to the calibrated relative pose problem for the case of two known orientation angles
(2010)Lecture Notes in Computer Science ~ Computer vision - ECCV 2010Conference Paper -
Parallel, Real-Time Visual SLAM
(2010)The IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems (IROS 2010)Conference Paper -
Consensus Maximization for Semantic Region Correspondences
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionConference Paper -
A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sampling Consensus
(2008)Lecture Notes in Computer Science ~ Computer vision : proceedings / ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008Conference Paper -
Privacy Preserving Image Queries for Camera Localization
(2019)17th International Conference on Computer Vision (ICCV 2019)Conference Paper -
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
(2023)Advances in Neural Information Processing Systems 36Semantic 2D maps are commonly used by humans and machines for navigation purposes, whether it's walking or driving. However, these maps have limitations: they lack detail, often contain inaccuracies, and are difficult to create and maintain, especially in an automated fashion. Can we use raw imagery to automatically create better maps that can be easily interpreted by both humans and machines? We introduce SNAP, a deep network that learns ...Conference Paper -
LightGlue: Local Feature Matching at Light Speed
(2023)2023 IEEE/CVF International Conference on Computer Vision (ICCV)We introduce LightGlue, a deep neural network that learns to match local features across images. We revisit multiple design decisions of SuperGlue, the state of the art in sparse matching, and derive simple but effective improvements. Cumulatively, they make LightGlue more efficient -- in terms of both memory and computation, more accurate, and much easier to train. One key property is that LightGlue is adaptive to the difficulty of the ...Conference Paper -
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras
(2023)2023 IEEE/CVF International Conference on Computer Vision (ICCV)Dense 3D reconstruction and ego-motion estimation are key challenges in autonomous driving and robotics. Compared to the complex, multi-modal systems deployed today, multi-camera systems provide a simpler, low-cost alternative. However, camera-based 3D reconstruction of complex dynamic scenes has proven extremely difficult, as existing solutions often produce incomplete or incoherent results. We propose R3D3, a multi-camera system for ...Conference Paper -
RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration
(2023)2023 IEEE/CVF International Conference on Computer Vision (ICCV)Although point cloud registration has achieved remarkable advances in object-level and indoor scenes, large-scale registration methods are rarely explored. Challenges mainly arise from the huge point number, complex distribution, and outliers of outdoor LiDAR scans. In addition, most existing registration works generally adopt a two-stage paradigm: They first find correspondences by extracting discriminative local features and then leverage ...Conference Paper