Institution · Australian Centre for Robotic Vision
Most cited papers from Australian Centre for Robotic Vision
What are the most cited papers from Australian Centre for Robotic Vision?
The most cited paper from Australian Centre for Robotic Vision is "Simultaneous localization and mapping: part I" (Hugh F Durrant-Whyte, T.E.R. Bailey, 2006), with 4,212 citations. Next come "TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods" (3,581) and "RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation" (3,235).
Showing 50 of 61 papers. Every paper with more than 287 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Simultaneous localization and mapping: part I Hugh F Durrant-Whyte, T.E.R. Bailey · IEEE Robotics & Automation Magazine | Jun 2006 | 4,212 |
| 2 | TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods Professor Gary S. Collins et al. · BMJ | 16 Apr 2024 | 3,581 |
| 3 | RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation Guosheng Lin, Anton Milan, Chunhua Shen et al. | Jul 2017 | 3,235 |
| 4 | A solution to the simultaneous localization and map building (SLAM) problem Gamini Dissanayake, Paul M. Newman, Samuel Clark et al. · IEEE Transactions on Robotics and Automation | Jun 2001 | 2,671 |
| 5 | Simultaneous localization and mapping (SLAM): part II T.E.R. Bailey, Hugh F Durrant-Whyte · IEEE Robotics & Automation Magazine | 23 Aug 2006 | 2,559 |
| 6 | The false hope of current approaches to explainable artificial intelligence in health care Marzyeh Ghassemi, Luke Oakden‐Rayner, Andrew L. Beam · The Lancet Digital Health | 25 Oct 2021 | 1,643 |
| 7 | Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review Anna Chlingaryan, Salah Sukkarieh, Brett M. Whelan · Computers and Electronics in Agriculture | 5 Jun 2018 | 1,578 |
| 8 | Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields Fayao Liu, Chunhua Shen, Guosheng Lin et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 3 Dec 2015 | 1,303 |
| 9 | Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension Xiaoxuan Liu et al. · Nature Medicine | Sep 2020 | 1,301 |
| 10 | TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Jieneng Chen, Jieru Mei, Xianhang Li et al. · Medical Image Analysis | 22 Jul 2024 | 1,294 |
| 11 | Supervised Discrete Hashing Fumin Shen, Chunhua Shen, Wei Liu et al. | Jun 2015 | 1,186 |
| 12 | VarifocalNet: An IoU-aware Dense Object Detector Haoyang Zhang, Ying Wang, Feras Dayoub et al. | Jun 2021 | 1,124 |
| 13 | Visual Place Recognition: A Survey Stephanie M. Lowry, Niko Sünderhauf, Paul M. Newman et al. · IEEE Transactions on Robotics | 26 Nov 2015 | 1,094 |
| 14 | Deep convolutional neural fields for depth estimation from a single image Fayao Liu, Chunhua Shen, Guosheng Lin | Jun 2015 | 885 |
| 15 | REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs José Ignacio Orlando et al. · Medical Image Analysis | 8 Oct 2019 | 866 |
| 16 | Patient Dissatisfaction Following Total Knee Arthroplasty: A Systematic Review of the Literature Rajitha Gunaratne, Dylan N. Pratt, Joseph Banda et al. · The Journal of Arthroplasty | 21 Jul 2017 | 858 |
| 17 | Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation Guosheng Lin, Chunhua Shen, Anton van den Hengel et al. | Jun 2016 | 855 |
| 18 | Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI Baptiste Vasey et al. · Nature Medicine | May 2022 | 837 |
| 19 | Tracking Hydrocarbon Plume Transport and Biodegradation at Deepwater Horizon Richard Camilli, Christopher Michael Reddy, D. Yoerger et al. · Science | 19 Aug 2010 | 806 |
| 20 | Optimization of the simultaneous localization and map-building algorithm for real-time implementation José Guivant, E. Nebot · IEEE Transactions on Robotics and Automation | Jun 2001 | 775 |
| 21 | PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods Karel G.M. Moons et al. · BMJ | 24 Mar 2025 | 767 |
| 22 | Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension Samantha Cruz Rivera et al. · Nature Medicine | Sep 2020 | 726 |
| 23 | The Visual Object Tracking VOT2016 Challenge Results Matej Kristan et al. · Lecture notes in computer science | 2016 | 715 |
| 24 | Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring Hongguang Zhang, Yuchao Dai, Hongdong Li et al. | Jun 2019 | 663 |
| 25 | Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs Bo Li, Chunhua Shen, Yuchao Dai et al. | Jun 2015 | 651 |
| 26 | Learning a no-reference quality metric for single-image super-resolution Chao Ma, Chih‐Yuan Yang, Xiaokang Yang et al. · Computer Vision and Image Understanding | 17 Jan 2017 | 639 |
| 27 | Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison Dongxu Li, Cristian Rodriguez Opazo, Xin Feng Yu et al. | Mar 2020 | 621 |
| 28 | Consistency of the EKF-SLAM Algorithm Tim Bailey, Juan I. Nieto, José Guivant et al. | Oct 2006 | 575 |
| 29 | AI recognition of patient race in medical imaging: a modelling study Judy Wawira Gichoya et al. · The Lancet Digital Health | 11 May 2022 | 567 |
| 30 | Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning Yu Tian, Guansong Pang, Yuanhong Chen et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 547 |
| 31 | Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras Donald G. Dansereau, Oscar R. Pizarro, Stefan B. Williams | Jun 2013 | 537 |
| 32 | On the performance of ConvNet features for place recognition Niko Sünderhauf, Sareh Abolahrari Shirazi, Feras Dayoub et al. | Sep 2015 | 534 |
| 33 | The limits and potentials of deep learning for robotics Suenderhauf, Niko, Oliver Brock, Walter J. Scheirer et al. · QUT ePrints (Queensland University of Technology) | Apr 2018 | 527 |
| 34 | Learning robust, real-time, reactive robotic grasping Douglas Morrison, Peter Corke, Jürgen Leitner · The International Journal of Robotics Research | 26 Jun 2019 | 496 |
| 35 | Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards Suchet Bargoti, James Underwood · Journal of Field Robotics | 9 Feb 2017 | 495 |
| 36 | Learning trajectory dependencies for human motion prediction Miaomiao Liu, Mathieu Salzmann, Hongdong Li et al. · ANU Open Research (Australian National University) | 2019 | 494 |
| 37 | On the segmentation of 3D LIDAR point clouds Bertrand Douillard, James Underwood, Noah R. Kuntz et al. | May 2011 | 485 |
| 38 | The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications Gamini Dissanayake, Salah Sukkarieh, E. Nebot et al. · IEEE Transactions on Robotics and Automation | 2001 | 473 |
| 39 | From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur Dong Gong, Jie Yang, Lingqiao Liu et al. | Jul 2017 | 467 |
| 40 | BioTIME: A database of biodiversity time series for the Anthropocene María Dornelas et al. · Global Ecology and Biogeography | Jul 2018 | 457 |
| 41 | Information based adaptive robotic exploration Frédéric Bourgault, Alexei Makarenko, Stefan B. Williams et al. | 25 Jun 2003 | 451 |
| 42 | Image Captioning and Visual Question Answering Based on Attributes and External Knowledge Qi Wu, Chunhua Shen, Peng Wang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 26 May 2017 | 421 |
| 43 | Learning to rank in person re-identification with metric ensembles Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel | Jun 2015 | 407 |
| 44 | Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free Niko Suenderhauf, Sareh Abolahrari Shirazi, Adam Jacobson et al. | 13 Jul 2015 | 384 |
| 45 | Multi-modal Cycle-Consistent Generalized Zero-Shot Learning Rafael Felix, B. G. Vijay Kumar, Ian D. Reid et al. · Lecture notes in computer science | 2018 | 372 |
| 46 | Cost Volume Pyramid Based Depth Inference for Multi-View Stereo Jiayu Yang, Wei Mao, José Manuel Álvarez et al. | Jun 2020 | 354 |
| 47 | The Anglo-Australian Observatory 2dF facility Ian J. Lewis et al. · Monthly Notices of the Royal Astronomical Society | Jun 2002 | 351 |
| 48 | Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF Matthew David VerMilyea, Jonathan M. M. Hall, Sonya M. Diakiw et al. · Human Reproduction | 22 Jan 2020 | 341 |
| 49 | QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM Lachlan Nicholson, Michael John Milford, Niko Sünderhauf · IEEE Robotics and Automation Letters | 20 Aug 2018 | 336 |
| 50 | Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning Shizhe Chen, Yida Zhao, Qin Jin et al. | Jun 2020 | 334 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.