Steven L. Waslander
19 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (7) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (28)
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Renaissance Researcher
(5)
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Keyword Pioneer
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Interdisciplinary Bridge
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Deep Specialist
(10)
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Prolific Year
(5)
ποΈ
Keyword Collector
(84)
π₯
Unstoppable
(6)
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Century Club
(19)
Conferences
CVPR (10)
WACV (4)
ICLR (2)
CORL (1)
ICCV (1)
RSS (1)
Top co-authors
Keywords
autonomous driving
(6)
scene understanding
(3)
point cloud
(3)
3d object detection
(3)
self-supervised learning
(3)
trajectory prediction
(2)
contrastive learning
(2)
3d semantic segmentation
(2)
monocular 3d object detection
(2)
end-to-end learning
(2)
end-to-end driving
(2)
occlusion handling
(2)
depth estimation
(1)
uncertainty quantification
(1)
temporal reasoning
(1)
knowledge distillation
(1)
change detection
(1)
sensor fusion
(1)
trajectory forecasting
(1)
object tracking
(1)
Papers
FlowCLAS: Enhancing Normalizing Flow-Based Anomaly Segmentation Via Contrastive Learning
WACV 2026
SCATR: Mitigating New Instance Suppression in LiDAR-based Tracking-by-Attention via Second Chance Assignment and Track Query Dropout
WACV 2026
Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection
CVPR 2025
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
CVPR 2025
ForeSight: Multi-View Streaming Joint Object Detection and Trajectory Forecasting
ICCV 2025
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
ICLR 2025
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
CVPR 2024
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
CVPR 2024
Multiple View Geometry Transformers for 3D Human Pose Estimation
CVPR 2024
Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors
CORL 2024
Multi-View 3D Object Reconstruction and Uncertainty Modelling With Neural Shape Prior
WACV 2024
ReasonNet: End-to-End Driving With Temporal and Global Reasoning
CVPR 2023
Dense Voxel Fusion for 3D Object Detection
WACV 2023
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
CVPR 2023
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes
RSS 2022
Point Density-Aware Voxels for LiDAR 3D Object Detection
CVPR 2022
Categorical Depth Distribution Network for Monocular 3D Object Detection
CVPR 2021
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
ICLR 2021
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
CVPR 2019