Waslander, S.L.[Steven L.]
* 2013: Existence Detection of Objects in Images for Robot Vision Using Saliency Histogram Features
* 2014: 3D Scan Registration Using Curvelet Features
* 2014: Autonomous Maritime Landings for Low-Cost VTOL Aerial Vehicles
* 2014: Scale recovery in multicamera cluster SLAM with non-overlapping fields of view
* 2016: Degenerate motions in multicamera cluster SLAM with non-overlapping fields of view
* 2017: Condition and Viewpoint Invariant Omni-Directional Place Recognition Using CNN
* 2018: De-noising of Lidar Point Clouds Corrupted by Snowfall
* 2018: Hierarchical Deep Architecture and Mini-batch Selection Method for Joint Traffic Sign and Light Detection, A
* 2018: In Defense of Classical Image Processing: Fast Depth Completion on the CPU
* 2018: Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++
* 2019: Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings
* 2019: aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge
* 2019: Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
* 2019: Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
* 2020: end-to-end shape modeling framework for vectorized building outline generation from aerial images, An
* 2020: Leveraging Temporal Data for Automatic Labelling of Static Vehicles
* 2020: Towards End-to-end Learning of Visual Inertial Odometry with an EKF
* 2021: Categorical Depth Distribution Network for Monocular 3D Object Detection
* 2021: DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online Calibration
* 2021: Sequential Fusion via Bounding Box and Motion PointPainting for 3D Objection Detection
* 2022: Point Density-Aware Voxels for LiDAR 3D Object Detection
* 2022: Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving, A
* 2022: Temporal Convolutions for Multi-Step Quadrotor Motion Prediction
* 2023: Dense Voxel Fusion for 3D Object Detection
* 2023: ReasonNet: End-to-End Driving with Temporal and Global Reasoning
* 2023: Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
* 2024: Bayesian Embeddings for Few-Shot Open World Recognition
* 2024: Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior
Includes: Waslander, S.L.[Steven L.] Waslander, S.L.
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