Reid, Ian

Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

Rezatofighi, H., Tsoi, N., Gwak, J., Sadeghian, A., Reid, I., & Savarese, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 6,612

MonoSLAM: Real-time single camera SLAM

Davison, A. J., Reid, I. D., Molton, N. D., & Stasse, O. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 3,959

RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

Lin, G., Milan, A., Shen, C., & Reid, I. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,287

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Garg, R., BG, V. K., Carneiro, G., & Reid, I. (2016) · arXiv

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 1,632

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Garg, R., B.G., V. K., Carneiro, G., & Reid, I. (2016) · Lecture Notes in Computer Science

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 1,632

MOT16: A Benchmark for Multi-Object Tracking

Milan, A., Leal-Taixe, L., Reid, I., Roth, S., & Schindler, K. (2016) · arXiv

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 1,309

Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sunderhauf, N., Reid, I., Gould, S., & van den Hengel, A. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 1,187

Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

Lin, G., Shen, C., van den Hengel, A., & Reid, I. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 862

MOT20: A benchmark for multi object tracking in crowded scenes

Dendorfer, P., Rezatofighi, H., Milan, A., Shi, J., Cremers, D., Reid, I., Roth, S., Schindler, K., & Leal-Taixé, L. (2020) · arXiv

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 779

Stable multi-target tracking in real-time surveillance video

Benfold, B., & Reid, I. (2011) · CVPR 2011

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 651

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking

Dendorfer, P., Os̆ep, A., Milan, A., Schindler, K., Cremers, D., Reid, I., Roth, S., & Leal-Taixé, L. (2021) · International Journal of Computer Vision

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 374

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection

Do, T.-T., Nguyen, A., & Reid, I. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningAdvanced Neural Network Applications

Cited by 305

Visual Odometry Revisited: What Should Be Learnt?

Zhan, H., Weerasekera, C. S., Bian, J.-W., & Reid, I. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 201

On the comparison of uncertainty criteria for active SLAM

Carrillo, H., Reid, I., & Castellanos, J. A. (2012) · 2012 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 144

Adaptive relative bundle adjustment

Sibley, G., Mei, C., Reid, I., & Newman, P. (2009) · Robotics: Science and Systems V

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 139

Dense Reconstruction Using 3D Object Shape Priors

Dame, A., Prisacariu, V. A., Ren, C. Y., & Reid, I. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 135

Manhattan scene understanding using monocular, stereo, and 3D features

Flint, A., Murray, D., & Reid, I. (2011) · 2011 International Conference on Computer Vision

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 132

Information-theoretic active scene exploration

Sommerlade, E., & Reid, I. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 65

A hybrid SLAM representation for dynamic marine environments

Bibby, C., & Reid, I. (2010) · 2010 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 53

Direct semi-dense SLAM for rolling shutter cameras

Kim, J.-H., Cadena, C., & Reid, I. (2016) · 2016 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 46

DeepSetNet: Predicting Sets with Deep Neural Networks

Rezatofighi, S. H., B. G., V. K., Milan, A., Abbasnejad, E., Dick, A., & Reid, I. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 45

DF-VO: What Should Be Learnt for Visual Odometry?

Zhan, H., Weerasekera, C. S., Bian, J.-W., Garg, R., & Reid, I. (2021) · arXiv

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 31

Self-supervised Learning for Single View Depth and Surface Normal Estimation

Zhan, H., Weerasekera, C. S., Garg, R., & Reid, I. (2019) · 2019 International Conference on Robotics and Automation (ICRA)

Advanced Vision and Imaging3D Shape Modeling and Analysis

Cited by 31

A fast, modular scene understanding system using context-aware object detection

Cadena, C., Dick, A., & Reid, I. D. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 29