Mark Campbell
18 papers · 2012–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (6) π Academic Marathon (13) π§ Keyword Pioneer π Conference Polyglot (6) π Interdisciplinary Bridge
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Interdisciplinary Bridge
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Taxonomy Completionist
(22)
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Dynamic Duo
(15)
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Deep Specialist
(10)
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Prolific Year
(5)
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Trend Setter
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Century Club
(18)
ποΈ
Keyword Collector
(51)
Conferences
CVPR (6)
ICLR (4)
NIPS (4)
CORL (2)
ICCV (1)
RSS (1)
Top co-authors
Keywords
3d object detection
(8)
autonomous driving
(6)
depth estimation
(4)
object detection
(4)
path planning
(2)
point cloud
(2)
stereo camera
(2)
domain adaptation
(2)
collaborative perception
(2)
lidar point cloud
(2)
driving dataset
(1)
weather perception
(1)
feature learning
(1)
reinforcement learning from human feedback
(1)
unsupervised learning
(1)
distributed estimation
(1)
semi-supervised learning
(1)
image inpainting
(1)
occlusion handling
(1)
differentiable programming
(1)
Papers
Learning 3D Perception from Others' Predictions
ICLR 2025
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene
CVPR 2025
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration
ICCV 2025
DiffuBox: Refining 3D Object Detection with Point Diffusion
NIPS 2024
Pre-training LiDAR-based 3D Object Detectors through Colorization
ICLR 2024
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
NIPS 2023
Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions
CVPR 2022
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
NIPS 2022
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
ICLR 2022
Planning Paths through Occlusions in Urban Environments
CORL 2022
Learning To Detect Mobile Objects From LiDAR Scans Without Labels
CVPR 2022
Wasserstein Distances for Stereo Disparity Estimation
NIPS 2020
Planning Paths Through Unknown Space by Imagining What Lies Therein
CORL 2020
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
CVPR 2020
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize
CVPR 2020
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
ICLR 2020
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
CVPR 2019
Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion
RSS 2012