Mark Campbell

Mark Campbell

Cornell University

H-index: 49

North America-United States

About Mark Campbell

Mark Campbell, With an exceptional h-index of 49 and a recent h-index of 26 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Autonomy: Estimation, Control, Aerospace, Robotics, Space Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

The relationship between esports game genres and cognitive performance: A comparison between first-person shooter vs. multiplayer online battle arena games in younger adults

Better Monocular 3D Detectors with LiDAR from the Past

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery

Directing AI: Charting a Roadmap of AI Opportunities and Risks

Image-to-image translation for autonomous driving from coarsely-aligned image pairs

Pre-training lidar-based 3d object detectors through colorization

Connecting ai: Merging large language models and knowledge graph

Planning Paths through Occlusions in Urban Environments

Mark Campbell Information

University

Position

John A. Mellowes ‘60 Professor

Citations(all)

8813

Citations(since 2020)

4345

Cited By

5622

hIndex(all)

49

hIndex(since 2020)

26

i10Index(all)

155

i10Index(since 2020)

70

Email

University Profile Page

Cornell University

Google Scholar

View Google Scholar Profile

Mark Campbell Skills & Research Interests

Autonomy: Estimation

Control

Aerospace

Robotics

Space Systems

Top articles of Mark Campbell

Title

Journal

Author(s)

Publication Date

The relationship between esports game genres and cognitive performance: A comparison between first-person shooter vs. multiplayer online battle arena games in younger adults

Entertainment Computing

Egemen Mancı

Çağdaş Güdücü

Erkan Günay

Güven Güvendi

Mark Campbell

...

2024/5/1

Better Monocular 3D Detectors with LiDAR from the Past

arXiv preprint arXiv:2404.05139

Yurong You

Cheng Perng Phoo

Carlos Andres Diaz-Ruiz

Katie Z Luo

Wei-Lun Chao

...

2024/4/8

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery

Advances in Neural Information Processing Systems

Katie Luo

Zhenzhen Liu

Xiangyu Chen

Yurong You

Sagie Benaim

...

2024/2/13

Directing AI: Charting a Roadmap of AI Opportunities and Risks

Computer

Mark Campbell

Mlađan Jovanović

2024/1/31

Image-to-image translation for autonomous driving from coarsely-aligned image pairs

Youya Xia

Josephine Monica

Wei-Lun Chao

Bharath Hariharan

Kilian Q Weinberger

...

2023/5/29

Pre-training lidar-based 3d object detectors through colorization

arXiv preprint arXiv:2310.14592

Tai-Yu Pan

Chenyang Ma

Tianle Chen

Cheng Perng Phoo

Katie Z Luo

...

2023/10/23

Connecting ai: Merging large language models and knowledge graph

Computer

Mlađan Jovanović

Mark Campbell

2023/10/16

Planning Paths through Occlusions in Urban Environments

Yutao Han

Youya Xia

Guo-Jun Qi

Mark Campbell

2023/3/6

Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features

Travis Zhang

Katie Luo

Cheng Perng Phoo

Yurong You

Wei-Lun Chao

...

2023

Multiple-Hypothesis Path Planning with Uncertain Object Detections

arXiv preprint arXiv:2308.07420

Brian H Wang

Beatriz Asfora

Rachel Zheng

Aaron Peng

Jacopo Banfi

...

2023/8/14

Detecting Artificial Intelligence: A New Cyberarms Race Begins

Computer

Mark Campbell

Mlađan Jovanović

2023/8/3

Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization

Junan Chen

Josephine Monica

Wei-Lun Chao

Mark Campbell

2023/5/29

Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning

arXiv preprint arXiv:2312.10557

Rohan Banerjee

Prishita Ray

Mark Campbell

2023/12/16

Exploiting playbacks in unsupervised domain adaptation for 3d object detection in self-driving cars

Yurong You

Carlos Andres Diaz-Ruiz

Yan Wang

Wei-Lun Chao

Bharath Hariharan

...

2022/5/23

Generative artificial intelligence: Trends and prospects

Computer

Mladan Jovanovic

Mark Campbell

2022/10/1

Hindsight is 20/20: Leveraging past traversals to aid 3d perception

arXiv preprint arXiv:2203.11405

Yurong You

Katie Z Luo

Xiangyu Chen

Junan Chen

Wei-Lun Chao

...

2022/3/22

Integrating Covariance Intersection into Bayesian multi-target tracking filters

IEEE Transactions on Aerospace and Electronic Systems

Daniel E Clark

Mark A Campbell

2022/8/25

Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking

arXiv preprint arXiv:2202.13237

Vikram Shree

Carlos Diaz-Ruiz

Chang Liu

Bharath Hariharan

Mark Campbell

2022/2/26

Priority Tracking of Pedestrians for Self-Driving Cars

Jose Nino

Mark Campbell

2022/8/20

Ithaca365: Dataset and driving perception under repeated and challenging weather conditions

Carlos A Diaz-Ruiz

Youya Xia

Yurong You

Jose Nino

Junan Chen

...

2022

See List of Professors in Mark Campbell University(Cornell University)