Mark Campbell

18 papers · 2012–2025 · 6 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (21) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🔬 Deep Specialist (15) 🤝 Dynamic Duo (15) 🧭 Keyword Pioneer ⚡ Prolific Year · Productive 🗃️ Keyword Collector (57) 💎 Century Club · Bronze

Venues

CVPR (6) ICLR (4) NeurIPS (4) CoRL (2) ICCV (1) RSS (1)

Top co-authors

Bharath Hariharan (15) Wei-Lun Chao (14) Kilian Q. Weinberger (11) Yurong You (10) Yan Wang (7) Xiangyu Chen (6) Cheng Perng Phoo (5) Divyansh Garg (4) Kilian Q Weinberger (4) Katie Z Luo (4)

Research topics

Computer Vision (15) Analysis (15) Domain-Specific (15) Deep Learning (8) Artificial Intelligence (6) Core AI (6) Machine Learning (5) Learning Types · Deep Learning (5) Learning Types · Machine Learning (3) Models (3) Application Areas (2) Bayesian & Probabilistic (1) Generation (1)

Keywords

3d object detection (13) autonomous driving (10) depth estimation (5) lidar point cloud (4) object detection (4) point cloud (3) domain adaptation (3) path planning (2) stereo camera (2) collaborative perception (2) self-supervised learning (1) feature learning (1) unsupervised learning (1) curriculum learning (1) semi-supervised learning (1) differentiable programming (1) reinforcement learning from human feedback (1) stereo vision (1) occlusion handling (1) driving dataset (1)

Papers

Learning 3D Perception from Others' Predictions ICLR 2025 Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration ICCV 2025 Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene CVPR 2025 DiffuBox: Refining 3D Object Detection with Point Diffusion NeurIPS 2024 Pre-training LiDAR-based 3D Object Detectors through Colorization ICLR 2024 Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery NeurIPS 2023 Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception ICLR 2022 Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions CVPR 2022 Learning To Detect Mobile Objects From LiDAR Scans Without Labels CVPR 2022 Planning Paths through Occlusions in Urban Environments CoRL 2022 Unsupervised Adaptation from Repeated Traversals for Autonomous Driving NeurIPS 2022 End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection CVPR 2020 Planning Paths Through Unknown Space by Imagining What Lies Therein CoRL 2020 Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving ICLR 2020 Train in Germany, Test in the USA: Making 3D Object Detectors Generalize CVPR 2020 Wasserstein Distances for Stereo Disparity Estimation NeurIPS 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