Mark E. Campbell

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 76

Top Venues

Publications

Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
Better Monocular 3D Detectors with LiDAR from the Past. ICRA (2024)
Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
Better Monocular 3D Detectors with LiDAR from the Past. CoRR (2024)
Xiangyu Chen, Zhenzhen Liu, Katie Z. Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
DiffuBox: Refining 3D Object Detection with Point Diffusion. CoRR (2024)
Junan Chen, Josephine Monica, Wei-Lun Chao, Mark E. Campbell
Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization. CoRR (2023)
Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. CoRR (2023)
Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs. ICRA (2023)
Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization. CoRR (2023)
Junan Chen, Josephine Monica, Wei-Lun Chao, Mark E. Campbell
Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization. ICRA (2023)
Yurong You, Cheng Perng Phoo, Katie Z. Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. CoRR (2023)
Katie Z. Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. CoRR (2023)
Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. NeurIPS (2023)
Brian H. Wang, Beatriz A. Asfora, Rachel Zheng, Aaron Peng, Jacopo Banfi, Mark E. Campbell
Multiple-Hypothesis Path Planning with Uncertain Object Detections. CoRR (2023)
Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. ICCV (Workshops) (2023)
Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars. ICRA (2022)
Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. ICLR (2022)
Josephine Monica, Wei-Lun Chao, Mark E. Campbell
Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling. ICRA (2022)
Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CVPR (2022)
Yutao Han, Youya Xia, Guo-Jun Qi, Mark E. Campbell
Planning Paths through Occlusions in Urban Environments. CoRL (2022)
Yurong You, Katie Z. Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CoRR (2022)
Vikram Shree, Sarah Allen, Beatriz A. Asfora, Jacopo Banfi, Mark E. Campbell
Learning to Assess Danger from Movies for Cooperative Escape Planning in Hazardous Environments. IROS (2022)
Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. CoRR (2022)
Vikram Shree, Sarah Allen, Beatriz A. Asfora, Jacopo Banfi, Mark E. Campbell
Learning to Assess Danger from Movies for Cooperative Escape Planning in Hazardous Environments. CoRR (2022)
Carlos Andres Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. CVPR (2022)
Vikram Shree, Carlos Diaz-Ruiz, Chang Liu, Bharath Hariharan, Mark E. Campbell
Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking. CoRR (2022)
Aditya Bhaskar, Shriya Rangarajan, Vikram Shree, Mark E. Campbell, Francesca Parise
Accelerated consensus in multi-agent networks via memory of local averages. CDC (2021)
Brian H. Wang, Carlos Diaz-Ruiz, Jacopo Banfi, Mark E. Campbell
Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar. CoRR (2021)
Brian H. Wang, Carlos Diaz-Ruiz, Jacopo Banfi, Mark E. Campbell
Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar. ICRA (2021)
Vikram Shree, Beatriz A. Asfora, Rachel Zheng, Samantha Hong, Jacopo Banfi, Mark E. Campbell
Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning. CoRR (2021)
Yutao Han, Jacopo Banfi, Mark E. Campbell
Planning Paths Through Unknown Space by Imagining What Lies Therein. CoRR (2020)
Vikram Shree, Wei-Lun Chao, Mark E. Campbell
Interactive Natural Language-based Person Search. CoRR (2020)
Jacopo Banfi, Yizhou Zhang, G. Edward Suh, Andrew C. Myers, Mark E. Campbell
Path Planning Under Malicious Injections and Removals of Perceived Obstacles: A Probabilistic Programming Approach. IEEE Robotics Autom. Lett. 5 (4) (2020)
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. CVPR (2020)
Yutao Han, Hubert Lin, Jacopo Banfi, Kavita Bala, Mark E. Campbell
DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds. ICRA (2020)
Yutao Han, Hubert Lin, Jacopo Banfi, Kavita Bala, Mark E. Campbell
DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds. CoRR (2020)
Vikram Shree, Wei-Lun Chao, Mark E. Campbell
An Empirical Study of Person Re-Identification with Attributes. CoRR (2020)
Yutao Han, Rina Tse, Mark E. Campbell
Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points. CoRR (2020)
Jacopo Banfi, Vikram Shree, Mark E. Campbell
Planning High-Level Paths in Hostile, Dynamic, and Uncertain Environments. J. Artif. Intell. Res. 69 (2020)
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize. CoRR (2020)
Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark E. Campbell, Kilian Q. Weinberger
Revisiting Meta-Learning as Supervised Learning. CoRR (2020)
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. CVPR (2020)
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. ICLR (2020)
Beatriz A. Asfora, Jacopo Banfi, Mark E. Campbell
Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search. IEEE Robotics Autom. Lett. 5 (4) (2020)
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. CVPR (2019)
Carlos Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Mark E. Campbell
Vision-only 3D Tracking for Self-Driving Cars. CASE (2019)
Alexander Ivanov, Mark E. Campbell
Uncertainty Constrained Robotic Exploration: An Integrated Exploration Planner. IEEE Trans. Control. Syst. Technol. 27 (1) (2019)
Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images. CoRR (2019)
Jacopo Banfi, Mark E. Campbell
High-Level Path Planning in Hostile Dynamic Environments. AAMAS (2019)
Yutao Han, Rina Tse, Mark E. Campbell
Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points. IEEE Robotics Autom. Lett. 4 (3) (2019)
Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger
Anytime Stereo Image Depth Estimation on Mobile Devices. ICRA (2019)
Vikram Shree, Wei-Lun Chao, Mark E. Campbell
An Empirical Study of Person Re-Identification with Attributes. RO-MAN (2019)
Rina Tse, Mark E. Campbell
Human-Robot Communications of Probabilistic Beliefs via a Dirichlet Process Mixture of Statements. IEEE Trans. Robotics 34 (5) (2018)
Jed Liu, Joe Corbett-Davies, Andrew Ferraiuolo, Alexander Ivanov, Mulong Luo, G. Edward Suh, Andrew C. Myers, Mark E. Campbell
Secure Autonomous Cyber-Physical Systems Through Verifiable Information Flow Control. CPS-SPC@CCS (2018)
Alexander Ivanov, Mark E. Campbell
Secure Minimum Time Planning Under Environmental Uncertainty: an Extended Treatment. CoRR (2018)
Tarik Tosun, Jonathan Daudelin, Gangyuan Jing, Hadas Kress-Gazit, Mark E. Campbell, Mark Yim
Perception-Informed Autonomous Environment Augmentation with Modular Robots. ICRA (2018)
Jennifer Padgett, Mark E. Campbell
Q-Link: A general planning architecture for navigation with qualitative relational information. Robotics Auton. Syst. 108 (2018)
Alexander Ivanov, Mark E. Campbell
Joint Exploration and Tracking: JET. IEEE Control. Syst. Lett. 2 (1) (2018)
Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress-Gazit, Mark E. Campbell
An integrated system for perception-driven autonomy with modular robots. Sci. Robotics 3 (23) (2018)
Benjamin Johnson, Frank Havlak, Hadas Kress-Gazit, Mark E. Campbell
Experimental Evaluation and Formal Analysis of High-Level Tasks with Dynamic Obstacle Anticipation on a Full-Sized Autonomous Vehicle. J. Field Robotics 34 (5) (2017)
Jonathan Daudelin, Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress-Gazit, Mark E. Campbell
An Integrated System for Perception-Driven Autonomy with Modular Robots. CoRR (2017)
Jennifer Padgett, Mark E. Campbell
Probabilistic qualitative mapping for robots. Robotics Auton. Syst. 98 (2017)
Alexander Ivanov, Mark E. Campbell
An Extended Consideration of Joint Exploration and Tracking: JET. CoRR (2017)
Tarik Tosun, Jonathan Daudelin, Gangyuan Jing, Hadas Kress-Gazit, Mark E. Campbell, Mark Yim
Perception-Informed Autonomous Environment Augmentation With Modular Robots. CoRR (2017)
Jonathan Daudelin, Mark E. Campbell
An Adaptable, Probabilistic, Next-Best View Algorithm for Reconstruction of Unknown 3-D Objects. IEEE Robotics Autom. Lett. 2 (3) (2017)
Kevin Wyffels, Mark E. Campbell
Precision Tracking via Joint Detailed Shape Estimation of Arbitrary Extended Objects. IEEE Trans. Robotics 33 (2) (2017)
Mark McClelland, Mark E. Campbell, Tara A. Estlin
Qualitative relational mapping and navigation for planetary rovers. Robotics Auton. Syst. 83 (2016)
Alexander Ivanov, Mark E. Campbell
An efficient robotic exploration planner with probabilistic guarantees. ICRA (2016)
Alexander Ivanov, Mark E. Campbell
Uncertainty Constrained robotic Exploration: An Integrated Exploration Planner. CoRR (2016)
Jennifer Padgett, Mark E. Campbell
Probabilistic qualitative mapping for robots. ICRA (2016)
Daniel J. Lee, Mark E. Campbell
An efficient probabilistic surface normal estimator. ICRA (2016)
Peter Radecki, Mark E. Campbell, Kevin Matzen
All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles. CoRR (2016)
Rina Tse, Nisar R. Ahmed, Mark E. Campbell
Unified Terrain Mapping Model With Markov Random Fields. IEEE Trans. Robotics 31 (2) (2015)
Kevin Wyffels, Mark E. Campbell
Negative Information for Occlusion Reasoning in Dynamic Extended Multiobject Tracking. IEEE Trans. Robotics 31 (2) (2015)
Rina Tse, Mark E. Campbell
Human-robot information sharing with structured language generation from probabilistic beliefs. IROS (2015)
Kevin Wyffels, Mark E. Campbell
Joint tracking and non-parametric shape estimation of arbitrary extended objects. ICRA (2015)
Jason Hardy, Frank Havlak, Mark E. Campbell
Multi-step prediction of nonlinear Gaussian Process dynamics models with adaptive Gaussian mixtures. Int. J. Robotics Res. 34 (9) (2015)
Nisar R. Ahmed, Mark E. Campbell, David W. Casbeer, Yongcan Cao, Derek B. Kingston
Fully bayesian learning and spatial reasoning with flexible human sensor networks. ICCPS (2015)
Kevin Wyffels, Mark E. Campbell
Negative observations for multiple hypothesis tracking of dynamic extended objects. ACC (2014)
Jason Hardy, Frank Havlak, Mark E. Campbell
Multiple-step prediction using a two stage Gaussian Process model. ACC (2014)
Mark McClelland, Mark E. Campbell, Tara A. Estlin
Qualitative Relational Mapping for Mobile Robots with Minimal Sensing. J. Aerosp. Inf. Syst. 11 (8) (2014)
Nisar Razzi Ahmed, Rina Tse, Mark E. Campbell
Enabling Robust Human-Robot Cooperation through Flexible Fully Bayesian Shared Sensing. AAAI Spring Symposia (2014)
Frank Havlak, Mark E. Campbell
Discrete and Continuous, Probabilistic Anticipation for Autonomous Robots in Urban Environments. IEEE Trans. Robotics 30 (2) (2014)
Mark McClelland, Tara A. Estlin, Mark E. Campbell
Qualitative Relational Mapping and Navigation for Planetary Rovers. CoRR (2014)
Brandon M. Jones, Mark E. Campbell, Lang Tong
Maximum Likelihood Fusion of Stochastic Maps. IEEE Trans. Signal Process. 62 (8) (2014)
William W. Whitacre, Mark E. Campbell
Cooperative Estimation Using Mobile Sensor Nodes in the Presence of Communication Loss. J. Aerosp. Inf. Syst. 10 (3) (2013)
Danelle C. Shah, Mark E. Campbell
A qualitative path planner for robot navigation using human-provided maps. Int. J. Robotics Res. 32 (13) (2013)
Jason Hardy, Mark E. Campbell
Contingency Planning Over Probabilistic Obstacle Predictions for Autonomous Road Vehicles. IEEE Trans. Robotics 29 (4) (2013)
Frank Havlak, Mark E. Campbell
Discrete and Continuous, Probabilistic Anticipation for Autonomous Robots in Urban Environments. CoRR (2013)
Brandon M. Jones, Mark E. Campbell, Lang Tong
Maximum Likelihood Fusion of Stochastic Maps CoRR (2013)
Mark McClelland, Mark E. Campbell
Probabilistic Modeling of Anticipation in Human Controllers. IEEE Trans. Syst. Man Cybern. Syst. 43 (4) (2013)
Kevin Wyffels, Mark E. Campbell
Modeling and fusing negative information for dynamic extended multi-object tracking. ICRA (2013)
Nisar R. Ahmed, Tsung-Lin Yang, Mark E. Campbell
On Generalized Bayesian Data Fusion with Complex Models in Large Scale Networks. CoRR (2013)
Nisar R. Ahmed, Eric M. Sample, Mark E. Campbell
Bayesian Multicategorical Soft Data Fusion for Human-Robot Collaboration. IEEE Trans. Robotics 29 (1) (2013)
Paul G. Otanez, Mark E. Campbell
Detection Methods for Mode Perturbation Signatures. IEEE Trans. Autom. Control. 57 (11) (2012)
Nisar R. Ahmed, Mark E. Campbell
Fast Consistent Chernoff Fusion of Gaussian Mixtures for Ad Hoc Sensor Networks. IEEE Trans. Signal Process. 60 (12) (2012)
Danelle C. Shah, Joseph Schneider, Mark E. Campbell
A Sketch Interface for Robust and Natural Robot Control. Proc. IEEE 100 (3) (2012)
Benjamin Johnson, Frank Havlak, Mark E. Campbell, Hadas Kress-Gazit
Execution and analysis of high-level tasks with dynamic obstacle anticipation. ICRA (2012)
Jonathan R. Schoenberg, Mark E. Campbell, Isaac Miller
Posterior representation with a multi-modal likelihood using the gaussian sum filter for localization in a known map. J. Field Robotics 29 (2) (2012)
Daniel J. Lee, Mark E. Campbell
Iterative smoothing approach using Gaussian mixture models for nonlinear estimation. IROS (2012)
Nisar R. Ahmed, Mark E. Campbell
On estimating simple probabilistic discriminative models with subclasses. Expert Syst. Appl. 39 (7) (2012)
Rina Tse, Nisar R. Ahmed, Mark E. Campbell
Unified mixture-model based terrain estimation with Markov Random Fields. MFI (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mark E. Campbell