Waslander, S.[Steven]
Co Author Listing * Image-to-lidar Relational Distillation for Autonomous Driving Data
* JDT3D: Addressing the Gaps in Lidar-based Tracking-by-attention
* Towards Open World NeRF-Based SLAM
Waslander, S.L.[Steven L.]
Co Author Listing * 3D Scan Registration Using Curvelet Features
* Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings
* Autonomous Maritime Landings for Low-Cost VTOL Aerial Vehicles
* aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge
* Bayesian Embeddings for Few-Shot Open World Recognition
* Categorical Depth Distribution Network for Monocular 3D Object Detection
* Class Instance Balanced Learning for Long-Tailed Classification
* Condition and Viewpoint Invariant Omni-Directional Place Recognition Using CNN
* DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online Calibration
* De-noising of Lidar Point Clouds Corrupted by Snowfall
* Degenerate motions in multicamera cluster SLAM with non-overlapping fields of view
* Dense Voxel Fusion for 3D Object Detection
* end-to-end shape modeling framework for vectorized building outline generation from aerial images, An
* Existence Detection of Objects in Images for Robot Vision Using Saliency Histogram Features
* Gradient-Based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection
* Hierarchical Deep Architecture and Mini-batch Selection Method for Joint Traffic Sign and Light Detection, A
* HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering
* In Defense of Classical Image Processing: Fast Depth Completion on the CPU
* InterTrack: Interaction Transformer for 3D Multi-Object Tracking
* Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection
* Leveraging Temporal Data for Automatic Labelling of Static Vehicles
* LMDrive: Closed-Loop End-to-End Driving with Large Language Models
* Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++
* Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
* Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior
* Multiple View Geometry Transformers for 3D Human Pose Estimation
* Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
* Next-Best-View Selection for Robot Eye-in-Hand Calibration
* Point Density-Aware Voxels for LiDAR 3D Object Detection
* ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation
* PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
* ReasonNet: End-to-End Driving with Temporal and Global Reasoning
* Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving, A
* Scale recovery in multicamera cluster SLAM with non-overlapping fields of view
* Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
* Sequential Fusion via Bounding Box and Motion PointPainting for 3D Objection Detection
* SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
* Temporal Convolutions for Multi-Step Quadrotor Motion Prediction
* Towards End-to-end Learning of Visual Inertial Odometry with an EKF
Includes: Waslander, S.L.[Steven L.] Waslander, S.L.
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