Nick Barnes
Professor
School of Computing
The Australian National University
Research School of Engineering, The Australian National University, Canberra, 0200.

email: firstname dot lastname at anu.edu.au
office (ANU): Brian Anderson Building, 115 North Road, Canberra, AUSTRALIA
postal:115 North Rd, Canberra, ACT, 2600.

News

Paper Accepted in IEEE-PAMI:
  1. An energy-based prior for generative saliency, J Zhang, J Xie, N Barnes, P Li, in IEEE Trans Pattern Analysis and Machine Intelligence, 45(11), 2023.
  2. Vicinity Vision Transformer, W Sun, Z Qin, J Deng, J Want, Y Zhang, K Zhang, N Barnes, S Birchfield, L Kong, Y Zhong, in IEEE Trans Pattern Analysis and Machine Intelligence, 45(10), 2023.
  3. Learning Saliency from Single Noisy Labelling: A Robust Model Fitting Perspective, J Zhang, Y Dai, T Zhang, MT Harandi, N Barnes, R Hartley, in IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, available for early access, 2021.
2023 ICCV and CVPR
  1. P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds, R Cui, S Qiu, S Anwar, J Liu, C Xing, J Zhang, N Barnes, in ICCV 2023.
  2. Model Calibration in Dense Classification with Adaptive Label Perturbation J Liu, C Ye, S Wang, R Cui, J Zhang, K Zhang, N Barnes, in ICCV 2023.
  3. Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning, Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes, in CVPR 2023.

Research projects

My primary research interests are around computer vision, 3D vision, biological vision (including the creation of prosthetic vision), saliency and salient object detection, and probabilistic/generative methods particularly for dense prediction.

I'm a lead investigator on a project aht is developing computer vision research to assist the visually impaired.

The vision processing for prosthetic vision homepage.

See link for some of the media coverage of our 2014 human mobility trials.

From 2010 to 2015 this was funded by by the Australian Research Council through Bionic Vision Australia.

The Bionic Vision Australia partnership developed an Australian bionic eye implant that can restore a sense of vision to profoundly blind individuals. Vision processing is a key part of this approach.

Prosthetic Vision Publications

  1. "Face identity recognition in simulated prosthetic vision is poorer than previously reported and can be improved by caricaturing", by J Irons, T Gradden, A Zhang, X He, N Barnes, A F Scott, E McKone, Vision Research, accepted, June 2017.
  2. "Identification of Characters and Localisation of Images Using Direct Multiple Electrode Stimulation with a Suprachoroidal Retinal Prosthesis.", by M N Shvidasani, N C Sinclair, L N Gillespie, M A Petoe, S Titchener, J B Fallow, T Perera, D Pardinas-Diaz, N Barnes, and P J Blamey, Investigative Ophthalmology and Vision Science, accepted, April, 2017.
  3. "Determining the Contribution of Retinotopic Discrimination to Localization Performance With a Suprachoroidal Retinal Prosthesis.", by M A Petoe, C D McCarthy, M H Shivdasini, N C Sinclair, A F Scott, L N Ayton, N Barnes, R H Guymer, P J Allen, and P J Blamey, Investigative Ophthalmology and Vision Science, 58(7), 3231-3239, 2017. Publisher version.
  4. "Vision function testing for a suprachoroidal retinal prosthesis: effects of image filtering.", by N Barnes, A Scott, P Lieby, M Petoe, C D McCarthy, A Stacey, L Ayton, N Sinclair, M Shivdasani, N Lovell, H McDermott, JG Walker, Journal of Neural Engineering, 13(3), April, 2016, pp 036013. Publisher version self-archive pdf.
  5. "Visual task performance in the blind with the BrainPort V100 vision aid", by HC Sronks, EB Mitchell, AC Nau and N Barnes, in Expert Review of Medical Devices, accepted Sept, 2016 Pre-print.
  6. "Vibrotactile spatial acuity and intensity discrimination on the lower back using coin motors", by HC Sronks, D Parker and N Barnes, in IEEE Trans Haptics, accepted May, 2016 Pre-print.
  7. "Semantic Labelling for Prosthetic Vision", by L Horne, J Alvarez, C McCarthy, M Salzmann and N Barnes, in CVIU, available online March 2016, at"http://dx.doi.org/10.1016/j.cviu.2016.02.015''.
  8. "The role of visual deprivation and experience on the performance of sensory substitution devices", by HC Sronks, AC Nau, M R Ibbotson and N Barnes, in Brain Research, 1464. Oct, 2015, pp 140-152.
  9. "Mobility and low contrast trip hazard avoidance using augmented depth.", McCarthy C, Walker JG, Lieby P, Scott AS, Barnes N, Journal of Neural Engineering, 12(1), Feb 2015.
  10. "The feasibility of coin motors for use in a vibrotactile display for the blind.", Stronks HC, Barnes N, Parker D, Walker JG, Artificial Organs, 39(6), pp. 480-91, Jun, 2015.
  11. "First-in-Human Trial of a Novel Suprachoroidal Retinal Prosthesis", L N Ayton, P J Blamey, R H Guymer, C D Luu, D A X Nayagam, N C Sinclair, M N Shivdasani, J Yeoh, M F McCombe, R J Briggs, N L Opie, J Villalobos, P N Dimitrov, M Varsamidis, M A Petoe, C D McCarthy, J G Walker, N Barnes, A N Burkitt, C E Williams, R K Shepherd, P J Allen, for the Bionic Vision Australia Research Consortium, PLOSONE, Dec 18, 2014, DOI: 10.1371/journal.pone.0115239.
  12. "A new theoretical approach to improving face recognition in disorders of central vision: Face caricaturing.", Irons J, McKone E, Dumbleton R, Barnes N, He X, Provis J, Ivanovici C, Kwa A., Journal of Vision, 14(2), Feb 17, 2014.
  13. "The Role of Computer Vision in Prosthetic Vision", N Barnes, Image and Vision Computing, 20, 478-439, 2012.
  14. "Local Background Enclosure for RGB-D Salient Object Detection" by D Feng, N Barnes, S You and C McCarthy, in CVPR, July, 2016.
  15. "Semantic Labelling to Aid Navigation in Prosthetic Vision", by L Horne, J M Alverez, C McCarthy, N Barnes, in Int Conf IEEE Engineering in Medical and Biology Society, (IEEE-EMBC), August, 2015.
  16. "Importance Weighted Image Enhancement for Prosthetic Vision: An Augmentation Framework", by C McCarthy, and N Barnes, in Int Symp on Mixed and Augmented Reality, ISMAR'14, Sept, 2014.
  17. "An overview of vision processing approaches in implantable prosthetic vision", by N Barnes, in Proc ICIP, Melbourne Australia, 2013.
  18. "Augmenting Intensity to enhance scene structure in prosthetic vision", by C McCarthy, D Feng, N Barnes, in Proc Workshop Multimodal and Alternative Perception for Visually Impaired People, San Jose, USA, July, 2013. (Best Paper)
  19. "The Role of Vision Processing in Prosthetic Vision", by N Barnes, X He, C McCarthy, L Horne, J Kim, A F Scott, and P Lieby, in Proc IEEE EMBC, August, 2012.
  20. "Time-To-Contact Maps for Navigation with a Low Resolution Visual Prosthesis", by C McCarthy and N Barnes, in Proc IEEE EMBC, August, 2012.
  21. "Image Segmentation for Enhancing Symbol Recognition in Prosthetic Vision", by L Horne, N Barnes, C McCarthy, X He, in Proc IEEE EMBC, August, 2012.
  22. "On Just Noticeable Difference for Bionic Eye", Yi Li, C McCarthy, and N Barnes, in Proc IEEE EMBC, August, 2012 link.
  23. "Text Image Processing for Visual Prostheses", by S Wang, Yi Li and N Barnes, in Proc IEEE EMBC, August, 2012.
  24. "An Face-Based Visual Fixation System for Prosthetic Vision", by X He, J Kim, and N Barnes, in Proc IEEE EMBC, August, 2012.
  25. "Phosphene Vision of Depth and Boundary from Segmentation-Based Associative MRFs", by Y Xie, N Liu, and N Barnes, in Proc IEEE EMBC, August, 2012.

Computer vision and Biological vision

I am interested in developing algorithms that replicate useful aspects of biological visual performance. This is to develop therapies for vision loss such as retinal implants and assistive devices, as well as to develop better algorithms for computer vision.

Graduated: Andrew Dankers developed a mechatronic simulation of active dynamic human visual saliency incorporating inhibition of return. This managed fixations across items of interest in a moving scene with an active stereo head, and via fixation with the zero disparity field and a Markov random field approach segmented objects corresponding to the points of interest.

Graduated: As part of his PhD Chris McCarthy has developed new models for visual docking from optical flow based on the spherical view field of honeybees. By using the sperhical vision model we are able to construct algorithms that rapidly recover time-to-contact for obstacles in the environment.

Graduated: John Lim is using the features of spherical vision to develop new algorithms for recovery of self motion.

We have looked at visual navigation using a fixated log-polar camera. Projects have developed corner-based fixation and direction control for docking a fixated object using only visual paramters, specifically, the rotational component of log-polar optical flow. We have also developed a new space variant form of the Hough transform that improves the detection of lines in log-polar images.

Corner tracking for a simple corner under robot motion. 

Corner tracking in an office scene under robot motion. 

Medical Image analysis

The Automated Anatomical Structure Extraction for Diagnosis and Populations Norms project is developing statistical population models of ageing neuroanatomy to help diagnose conditions such as Alzheimer's Disease. PhD students Pengdong Xiao and Luping Zhou are working on this project. Staff contributing include Paulette Lieby, Richard Hartley, and Tiberio Caetano. The project is in collaboration with the Centre for Mental Health Research at ANU.

Graduated: I supervised a project by Gavin Baker to extract the human cochlea from CT images. We have developed new methods for finding the centre-line of tubular structures with complex cross-sections, such as the human cochlea.

RoboCup 2002

Previously, I directed the Robomutts++, the fourth placed team in the Robocup Sony Legged League in the International Robot Soccer Competition in Fukuoka, Japan. I am also advisor for the team, and supervisor for a postgraduate student in the F180 League. of Robocup. This team was also placed fourth internationally at Fukuoka.

The Roobots, our Robocup small size league team.

Students - Chair

PhD

In Progress

Gepeng Je (with Jing Zhang)

Ruikai Cui (with Saeed Anwar)

Jiawei Liu

Sahir Shrestha

Peipei Song

Changkun Ye (with Lars Petersson, Russel Tsuchida)

Submitted

Weixuan Sun

Graduated

Shi Qiu (with Saeed Anwar)

Jing Zhang

Sameera Ramasinghe (with Salman Khan)

Kaiyue Liu

Cedric Scheerlinck (With Rob Mahony)

Moshiur Farazi (with Salman Khan)

Shafin Rahman (with Salman Khan)

Lachlan Horne

David Feng

Gavin Baker

Chris McCarthy (with Mandyam Srinivasan (RSBS, ANU) and Giulio Sandini (LIRA Lab, Uni of Genoa, Italy)

John Lim

Pengdong Xiao (with Tiberio Caetano and Paulette Lieby)

Andrew Dankers

David Shaw

Samunda Perera

Tao Wang (with Xuming He)

Visting PhD students

Yunqiu Lv

Publications

Note: All the papers listed are copyrighted. They are provided for your convenience. You might download them only if you are entitled to do so by your arrangements with the publishers.

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Monograph

  1. "Knowledge-based Vision-Guided Robots", by N Barnes and Zhi-Qiang Liu, Physica-Verlag, 2002, ISBN 3-7908-1494-6.

Edited proceedings

  1. "Proceedings ACRA04: The Australasian Conference on Robotics and Automation", eds N Barnes and David Austin, Canberra, Australia, Dec., 2004.

Book Chapters

  1. "Exploration: Simultaneous Localization and Mapping (SLAM)", S Perera, N Barnes and A Zelinsky, in Computer Vision: A Reference Guide, Katsushi Ikeuchi, Springer, 2014, ISBN 978-0-387-30771-8, pp 268-275.
  2. "Smart Cars: The Next Frontier", L Petersson, L Fletcher, N Barnes and A Zelinsky, Chapter 5 in Advances in Applied Artificial Intelligence, John Fulcher, Idea Group Publishing, 2006, ISBN 1-59140-828-8.

Journal Articles

  1. Learning Saliency from Single Noisy Labelling: A Robust Model Fitting Perspective, J Zhang, Y Dai, T Zhang, MT Harandi, N Barnes, R Hartley, in IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, available for early access, 2021.
  2. Oculomotor responses to dynamic stimuli in a 44-channel suprachoroidal retinal prosthesis, Samuel A Titchener, Jessica Kvansakul, Mohit N Shivdasani, James B Fallon, DAX Nayagam, Stephanie B Epp, Chris E Williams, Nick Barnes, William G Kentler, Maria Kolic, Elizabeth K Baglin, Lauren N Ayton, Carla J Abbott, Chi D Luu, Penelope J Allen, Matthew A Petoe, Translational vision science and technology, 9(13), Dec 2020.
  3. From known to the unknown: Transferring knowledge to answer questions about novel visual and semantic concepts, MR Farazi, SH Khan, N Barnes, Image and Vision Computing, Vol 103, Nov, 2020.
  4. Densely residual laplacian super-resolution, S Anwar, N Barnes, IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, early access, Sept 2020.
  5. An update on retinal prostheses, Lauren N Ayton, Nick Barnes, Gislin Dagnelie, Takashi Fujikado, Georges Goetz, Ralf Hornig, Bryan W Jones, Mahiul MK Muqit, Daniel L Rathbun, Katarina Stingl, James D Weiland, Matthew A Petoe, Clinical Neurophysiology, 131(6), 1383-1398, July 2020.
  6. A Deep Journey into Super-resolution: A Survey, S Anwar, S Khan, N Barnes, ACM Computing Surveys (CSUR) 53 (3), 1-34, May, 2020.
  7. Representation learning on unit ball with 3d roto-translational equivariance, S Ramasinghe, S Khan, N Barnes, S Gould, International Journal of Computer Vision, 1-23, Dec, 2019.
  8. Learning colon centreline from optical colonoscopy, a new way to generate a map of the internal colon surface, MA Armin, N Barnes, F Grimpen, O Salvado, Healthcare Technology Letters 6 (6), 187-190, Nov, 2019.
  9. Functional vision outcomes with the second-generation suprachoroidal retinal prosthesis: Tabletop object search and identification task, Maria Kolic, Elizabeth K Baglin, Samuel A Titchener, Jessica Kvansakul, Kiera A Young, Carla J Abbott, Myra B McGuinness, Rosie CH Dawkins, Daniel Chiu, Jonathan Yeoh, Janine G Walker, David A Nayagam, Nick Barnes, Matthew A Petoe, Lauren N Ayton, Chi D Luu, Penelope J Allen, Clinical and Experimental Ophthalmology, 47, Nov, 2019.
  10. A 44 channel suprachoroidal retinal prosthesis: initial functional vision results. M Kolic, E Baglin, SA Titchener, CJ Abbott, KA Young, M McGuinness, Rosie CH Dawkins, Daniel Chiu, Jonathan Yeoh, Janine Walker, William G Kentler, Nick Barnes, Matthew A Petoe, Lauren N Ayton, Chi D Luu, Penelope J Allen, Investigative Ophthalmology and Visual Science 60 (9), 4986-4986, 2019
  11. A 44 channel suprachoroidal retinal prosthesis: surgical approach, safety and stability. PJ Allen, DAX Nayagam, SB Epp, CD Luu, N Barnes, M Kolic, KA Young, Elizabeth Kate Baglin, Carla J Abbott, Robert Briggs, Jonathan Yeoh, William G Kentler, Samuel A Titchener, Matthew A Petoe, Chris E Williams, Investigative Ophthalmology and Visual Science 60 (9), 4983-4983, 2019
  12. A 43 channel suprachoroidal retinal prosthesis: initial psychophysical results, MA Petoe, SA Titchener, MN Shivdasani, DAX Nayagam, SB Epp, Joel Villalobos, Nicholas N Sinclair, Chris E Williams, Nick Barnes, William G Kentler, Maria Kolic, Elizabeth Kate Baglin, Carla J Abbott, Lauren N Ayton, Chi D Luu, Penelope J Allen, Investigative Ophthalmology and Visual Science 60 (9), 4993-4993, 2019.
  13. Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging, S Rahman, S Khan, N Barnes, IEEE Transactions on Multimedia 22 (1), 242-255, 2019.
  14. Caricaturing can improve facial expression recognition in low-resolution images and age-related macular degeneration, J Lane, RA Robbins, EMF Rohan, K Crookes, RW Essex, T Maddess, Faran Sabeti, Jamie-Lee Mazlin, Jessica Irons, Tamara Gradden, Amy Dawel, Nick Barnes, Xuming He, Michael Smithson, Elinor McKone, Journal of Vision 19 (6), 2019.
  15. Caricaturing as a general method to improve poor face recognition: Evidence from low-resolution images, other-race faces, and older adults. A Dawel, TY Wong, J McMorrow, C Ivanovici, X He, N Barnes, J Irons, Tamara Gradden, Rachel Robbins, Stephanie C Goodhew, Jo Lane, Elinor McKone, Journal of Experimental Psychology: Applied 25 (2), 256, 2019.
  16. Asynchronous spatial image convolutions for event cameras, C Scheerlinck, N Barnes, R Mahony, IEEE Robotics and Automation Letters 4 (2), 816-822, 2019.
  17. Impacts of impaired face perception on social interactions and quality of life in age-related macular degeneration: A qualitative study and new community resources, J Lane, EMF Rohan, F Sabeti, RW Essex, T Maddess, A Dawel, Rachel A Robbins, Nick Barnes, Xuming He, Elinor McKone, PloS one 13 (12), e0209218, 2018.
  18. Psychophysical evaluation of a tactile display based on coin motors, HC Stronks, DJ Parker, A Stacey, N Barnes, Artificial organs 42 (12), 1224-1233, 2018.
  19. "Improving face identity perception in age-related macular degeneration via caricaturing", by J Lane, EMF Rohan, F Sabeti, RW Essex, T Maddess, N Barnes, X He, R Robins, T Gradden, N Barnes, E McKone, Nature Scientific Reports, 12 Oct, 2018.
  20. "Caricaturing faces to improve identity recognition in low vision simulations: How effective is current-generation automatic assignment of landmark points?", by E McKone, R Robins, X He, N Barnes, PLOS One accepted, Sept 2018.
  21. "Face identity recognition in simulated prosthetic vision is poorer than previously reported and can be improved by caricaturing", by J Irons, T Gradden, A Zhang, X He, N Barnes, A F Scott, E McKone, Vision Research, accepted, June 2017.
  22. "Identification of Characters and Localisation of Images Using Direct Multiple Electrode Stimulation with a Suprachoroidal Retinal Prosthesis.", by M N Shvidasani, N C Sinclair, L N Gillespie, M A Petoe, S Titchener, J B Fallow, T Perera, D Pardinas-Diaz, N Barnes, and P J Blamey, Investigative Ophthalmology and Vision Science, accepted, April, 2017.
  23. "Determining the Contribution of Retinotopic Discrimination to Localization Performance With a Suprachoroidal Retinal Prosthesis.", by M A Petoe, C D McCarthy, M H Shivdasini, N C Sinclair, A F Scott, L N Ayton, N Barnes, R H Guymer, P J Allen, and P J Blamey, Investigative Ophthalmology and Vision Science, 58(7), 3231-3239, 2017. Publisher version.
  24. "Vision function testing for a suprachoroidal retinal prosthesis: effects of image filtering.", by N Barnes, A Scott, P Lieby, M Petoe, McCarthy C, A Stacey, L Ayton, N Sinclair, M Shivdasani, N Lovell, H McDermott, JG Walker, Journal of Neural Engineering, 13(3), April, 2016, pp 036013. Publisher version self-archive pdf.
  25. "Vibrotactile spatial acuity and intensity discrimination on the lower back using coin motors", by HC Sronks, D Parker and N Barnes, in IEEE Trans Haptics, accepted May, 2016 Pre-print.
  26. "Semantic Labelling for Prosthetic Vision", by L Horne, J Alvarez, C McCarthy, M Salzmann and N Barnes, in CVIU, available online March 2016, at"http://dx.doi.org/10.1016/j.cviu.2016.02.015''.
  27. "Exploiting Large Image Sets for Road Scene Parsing", by JM Alvarez, M Salzmann and N Barnes, IEEE Trans Intelligent Transportation Systems, 17(9), Sept, 2016.
  28. "The role of visual deprivation and experience on the performance of sensory substitution devices", by HC Sronks, AC Nau, M R Ibbotson and N Barnes, in Brain Research, 1464. Oct, 2015, pp 140-152.
  29. "Mobility and low contrast trip hazard avoidance using augmented depth.", McCarthy C, Walker JG, Lieby P, Scott AS, Barnes N, Journal of Neural Engineering, 12(1), Feb 2015.
  30. "The feasibility of coin motors for use in a vibrotactile display for the blind.", Stronks HC, Barnes N, Parker D, Walker JG, Artificial Organs, 39(6), pp. 480-91, Jun, 2015.
  31. "First-in-Human Trial of a Novel Suprachoroidal Retinal Prosthesis", L N Ayton, P J Blamey, R H Guymer, C D Luu, D A X Nayagam, N C Sinclair, M N Shivdasani, J Yeoh, M F McCombe, R J Briggs, N L Opie, J Villalobos, P N Dimitrov, M Varsamidis, M A Petoe, C D McCarthy, J G Walker, N Barnes, A N Burkitt, C E Williams, R K Shepherd, P J Allen, for the Bionic Vision Australia Research Consortium, PLOSONE, Dec 18, 2014, DOI: 10.1371/journal.pone.0115239.
  32. "A new theoretical approach to improving face recognition in disorders of central vision: Face caricaturing.", Irons J, McKone E, Dumbleton R, Barnes N, He X, Provis J, Ivanovici C, Kwa A., Journal of Vision, 14(2), Feb 17, 2014.
  33. "The Role of Computer Vision in Prosthetic Vision", N Barnes, Image and Vision Computing, 20, 478-439, 2012.
  34. "AI@NICTA", N Barnes, P Baumgartner, T Caetano, H Durrant-Whyte, G Klein, P Sanderson, A Satta, P Stuckey, S Thiebaux, P Van Hentenryck, and T Walsh, AI Magazine, 33(3), 2012.
  35. "A Unified Strategy for Landing and Docking using Spherical Flow Divergence", C McCarthy and N Barnes, IEEE Trans Pattern Analysis and Machine Intelligence, May 2012, 34(5), pp. 1024-1031.
  36. "Fast and robust object detection using asymmetric totally-corrective boosting", P Wang and C Shen and N Barnes and H Zheng, IEEE Trans Neural Networks and Learning Systems, 23(1), 2012., pp 33-46.
  37. "Estimating Relative Camera Motion from the Antipodal-Epipolar Constraint", J Lim, N Barnes, H Li, IEEE Trans Pattern Analysis and Machine Intelligence, 32(10), Oct 2010, pp 1907-1914.
  38. "The regular polygon detector", N Barnes, G Loy and D Shaw, Pattern Recognition, 43 (3), March, 2010, p 592-602, DOI doi:10.1016/j.patcog.2009.09.008
  39. "Estimation of the Epipole Using Optical Flow at Antipodal Points", J Lim and N Barnes, Computer Vision and Image Understanding, 114(2), Special issue on Omnidirectional Vision, Camera Networks and Non-conventional Cameras, pp 245-253, Feb, 2010.
  40. "Hippocampal Shape Analysis for Alzheimer's Disease Using an Efficient Hypothesis Test and Regularized Descriminative Deformation", L Zhou, P Lieby, N Barnes, C Reglade-Meslin, J Walker, N Cherbiun, R I Hartley, Hippocampus, 19(6), June 2009, pp 533-540.
  41. "Identifying Anatomical Shape Difference by Regularized Descriminative Direction", L Zhou, R I Hartley, L Wang P Lieby, N Barnes, IEEE Transactions on Medical Imaging, 28(5), June, 2009, pp 937-950. (Available online DOI=10.1109/TMI.2009.2012556).
  42. "A robust docking strategy for a mobile robot using flow field divergence", C McCarthy, N Barnes, R Mahony, IEEE Transactions on Robotics, Aug 2008, 24(4), 832-842. (Available online DOI=10.1109/TRO.2008.926871).
  43. "Real-time speed sign detection using the radial symmetry detector", N Barnes, A Zelinsky, and L Fletcher, IEEE Transactions on Intelligent Transportation Systems, 9 (2), pp 321-332, June, 2008.
  44. "Robotics Research in Australia", N Barnes and A Zelinsky, IEEE Robotics and Automation Magazine, 15 (2), 2008, pp 89-96.
  45. "MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study", A Dankers, N Barnes and A Zelinsky, CVIU, special issue on Vision for Human-Computer Interaction, 108(1-2), Oct-Nov, 2007, pp 74-86.
  46. "Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control", by Lars Petersson, Luke Fletcher, Alex Zelinsky, Nick Barnes, and F Arnell, in International Journal of Robotics Research, Vol. 25, No. 1, Jan, 2006, pp 53-71.
  47. "Model-Image Registration of Parametric Shape Models: Fitting a Shell to the Cochlea", by Gavin Baker and Nick Barnes, in The Insight Journal: special issue ISC/NA-MIC/MICCAI Workshop on Open-Source Software, August, 2005.
  48. "Correlating Driver Gaze with the Road Scene for Driver Assistance", by Luke Fletcher, Gareth Loy, Nick Barnes, and Alex Zelinsky, in Robotics and Autonomous Systems, Elsevier Science, Vol. 52, No. 1, pp 71-84, July, 2005.
  49. "Efficient Active Monocular Fixation Using the Log-Polar Sensor", by A Yeung and N Barnes, in International Journal of Intelligent Systems Technologies and Applications: Special Issue on Biorobotics and Biomechatronics in Australasia, Vol. 1, Nos. 1/2, pp. 157-173, 2005.
  50. "Embodied Categorisation for Vision-Guided Mobile Robots'' by N M Barnes and Z Q Liu, Pattern Recognition , Volume 37, Issue 2, Feb, 2004, Pages 299-312.
  51. "Vision guided circumnavigating autonomous robots" by N M Barnes and Z Q Liu, International Journal of Pattern Recognition and Artificial Intelligence , 14 (6), 689-714, 2000.
  52. "Knowledge Based Shape from Shading'' by N M Barnes and Z Q Liu, International Journal of Pattern Recognition and Artificial Intelligence, 13 (1), 1-24, 1999.

Refereed Conference papers

  1. Transmission-Guided Bayesian Generative Model for Smoke Segmentation, S Yan, J Zhang, N Barnes, AAAI, 2022.
  2. Energy-Based Generatve Cooperative Saliency Prediction, J Zhang, J Xie, Z Zheng, N Barnes, AAAI, 2022
  3. Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation, W Sun, J Zhang, N Barnes, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022.
  4. Depth Completion Auto-Encoder, K Lu, N Barnes, S Anwar, L Zheng, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022.
  5. Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction, J Zhang, J Xie, N Barnes, P Li, Advances in Neural Information Processing Systems 34, 2021
  6. Modeling Aleatoric Uncertainty for Camouflaged Object Detection, J Liu, J Zhang, N Barnes, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021.
  7. RGB-D Saliency Detection via Cascaded Mutual Information Minimization, Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 4338-4347
  8. Dense-resolution network for point cloud classification and segmentation, S Qiu, S Anwar, N Barnes, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021
  9. Simultaneously localize, segment and rank the camouflaged objects, Y Lv, J Zhang, Y Dai, A Li, B Liu, N Barnes, DP Fan, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021.
  10. Semantic segmentation for real point cloud scenes via bilateral augmentation and adaptive fusion, S Qiu, S Anwar, N Barnes, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021.
  11. Conditional Generative Modeling via Learning the Latent Space, S Ramasinghe, SH Khan, N Barnes, S Gould International Conference on Learning Representations (ICLR), 2021.
  12. OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos, J Xu, S Anwar, N Barnes, F Grimpen, O Salvado, S Anderson, MA Armin, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Pages 732-741, 2020.
  13. 3D Guided Weakly Supervised Semantic Segmentation, W Sun, J Zhang, N Barnes, Proceedings of the Asian Conference on Computer Vision, 2020.
  14. Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection, J Zhang, N Barnes, J Xie, ECCV 2020.
  15. Reducing the sim-to-real gap for event cameras, T Stoffregen, C Scheerlinck, D Scaramuzza, T Drummond, N Barnes, R Mahony, Proc. Eur. Conf. Comput. Vis. (ECCV'2020), 2020.
  16. Geometry to the Rescue: 3D Instance Reconstruction From a Cluttered Scene, L Li, S Khan, N Barnes, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020.
  17. From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction,` K Lu, N Barnes, S Anwar, L Zheng, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR'20, 2020
  18. UC-Net: uncertainty inspired rgb-d saliency detection via conditional variational autoencoders, J Zhang, DP Fan, Y Dai, S Anwar, FS Saleh, T Zhang, N Barnes, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR'20, 2020
  19. CED: color event camera dataset, C Scheerlinck, H Rebecq, T Stoffregen, N Barnes, R Mahony, D Scaramuzza, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019.
  20. Real image denoising with feature attention, S Anwar, N Barnes, Proceedings of the IEEE International Conference on Computer Vision, 3155-3164, (ICCV'19), 2019.
  21. Transductive learning for zero-shot object detection, S Rahman, S Khan, N Barnes, Proceedings of the IEEE International Conference on Computer Vision, 6082-6091, (ICCV'19), 2019.
  22. Silhouette-assisted 3d object instance reconstruction from a cluttered scene, L Li, S Khan, N Barnes, Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019.
  23. Unsupervised Primative Discovery for improved 3D Generative Modeling, SH Khan, Y Guo, M Hayat, N Barnes; IEEE-CVPR, June, 2019.
  24. Continuous-time intensity estimation using event cameras, C Scheerlinck, N Barnes, R Mahony, Asian Conference on Computer Vision, 308-324, 2018.
  25. Structural Edge Detection: A Dataset and Benchmark, W Sun, S You, J Walker, K Li, N Barnes, 2018 Digital Image Computing: Techniques and Applications (DICTA), 2018.
  26. Deep Texture and Structure Aware Filtering Network for Image Smoothing, Kiayue Liu, Shaodi You and Nick Barnes; ECCV, 2018
  27. Adversarial Training of Variational Auto-Encoders for High Fidelity Image GEneration, SH Khan, M Hayat, Nick Barnes; IEEE-WACV, March, 2018.
  28. Learning RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features, Riku Shigematsu, David Feng, Shaodi You, Nick Barnes; The IEEE International Conference on Computer Vision Workshop, 2017, pp. 2749-2757
  29. DSD: depth structural descriptor for edge-based assistive navigation, by D Feng, S You and N Barnes, in ACVR/ICCV Oct 2017.
  30. HOSO: histogram of surface orientation for RGB-D salient object detection, by D Feng, N Barnes, S You and C McCarthy, in DICTA Nov 2017. (Best Paper).
  31. Double-Guided Filtering: Image Smoothing with Structure and Texture Guidance, by Kaiyue Lu, Australian National University; Shaodi You, , in DICTA Nov 2017.
  32. "DSD: Depth Structural Descriptor for Edge-Based Assistive Navigation" by D Feng, S You and N Barnes, in ICCV Workshop, Oct, 2017.
  33. "Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features" by R Shigematsu, D Feng, S You and N Barnes, in ICCV Workshop, Oct, 2017.
  34. "Local Background Enclosure for RGB-D Salient Object Detection" by D Feng, N Barnes, S You and C McCarthy, in CVPR, July, 2016.
  35. "Efficient Transductive Semantic Segmentation", by J M Alvarez, M Salzmann, and N Barnes, in Winter Applications of Computer Vision (IEEE-WACV), March, 2016.
  36. "Semantic Labelling to Aid Navigation in Prosthetic Vision", by L Horne, J M Alverez, C McCarthy, N Barnes, in Int Conf IEEE Engineering in Medical and Biology Society, (IEEE-EMBC), August, 2015.
  37. "Efficient Scene Parsing by Sampling Unary Potentials in a Fully Connected CRF", by L Horne, J M Alverez, M Salzmann, N Barnes, in Intelligent Vehicles Symposium, (IEEE-IV), June, 2015.
  38. "Motion Segmentation of Truncated Signed Distance Function based on Volumetric Surfaces", by S Perera, N Barnes, X He, X Izardi, P Kohli, and B Glocker, in Winter Applications of Computer Vision (IEEE-WACV), Jan, 2015.
  39. "Importance Weighted Image Enhancement for Prosthetic Vision: An Augmentation Framework", by C McCarthy, and N Barnes, in Int Symp on Mixed and Augmented Reality, ISMAR'14, Sept, 2014.
  40. "Data-Driven Road Detection", by J M Alvarez, M Salzmann, and N Barnes, in Winter Applications of Computer Vision (IEEE-WACV), March, 2014.
  41. "Large-Scale Semantic Co-Labeling of Image Sets", by J M Alvarez, M Salzmann, and N Barnes, in Winter Applications of Computer Vision (IEEE-WACV), March, 2014.
  42. "Exploiting Sparsity for Real Time Video Labelling", by L Horne, J M Alvarez, and N Barnes, in Computer Vision Technology : from Earth to Mars, Workshop at the International Conference on Computer Vision, Sydney, Tasmania, Australia, Dec, 2013. (Best Paper)
  43. "1-Point Rigid Motion Estimation and Segmentation with a RGB-D Camera", by S Perera and N Barnes, in Proc Int Conf on Digital Image Computing: Techniques and applications (DICTA), Hobart, Tasmania, Australia, June, 2013.
  44. "Learning Appearance Models for Road Detection", by J M Alvarez and M Salzmann and N Barnes, in Proc IEEE-IVS, Gold Coast, Australia, June, 2013.
  45. "Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning", by T Wang, X He and N Barnes, in Proc IEEE-CVPR, Portland Oregon, USA, June, 2013.
  46. "'Glass object segmentation by label transfer on joint depth and appearance manifold", by T Wang, X He and N Barnes, in Proc ICIP, Melbourne Australia, 2013.
  47. "An overview of vision processing approaches in implantable prosthetic vision", by N Barnes, in Proc ICIP, Melbourne Australia, 2013.
  48. "Augmenting Intensity to enhance scene structure in prosthetic vision", by C McCarthy, D Feng, N Barnes, in Proc Workshop Multimodal and Alternative Perception for Visually Impaired People, San Jose, USA, July, 2013. (Best Paper)
  49. "Learning Hough Forest with Depth-encoded Context for Object Detection", by T Wang, X He and N Barnes, in Proc DICTA 12, Freemantal, WA, Australia, Dec, 2012
  50. "Maximal cliques based rigid body segmentation with a RGB-D camera", by S Parera and N Barnes, in Proc Asian Conference on Computer Vision (ACCV), Nov, 2012.
  51. "Glass Object Localization by Joint Inference of Boundary and Depth", by T Wang, X He N Barnes, in Proc International Conference on Pattern Recognition, Tsukuba, Japan, Nov, 2012.
  52. "The Role of Vision Processing in Prosthetic Vision", by N Barnes, X He, C McCarthy, L Horne, J Kim, A F Scott, and P Lieby, in Proc IEEE EMBC, August, 2012.
  53. "Time-To-Contact Maps for Navigation with a Low Resolution Visual Prosthesis", by C McCarthy and N Barnes, in Proc IEEE EMBC, August, 2012.
  54. "Image Segmentation for Enhancing Symbol Recognition in Prosthetic Vision", by L Horne, N Barnes, C McCarthy, X He, in Proc IEEE EMBC, August, 2012.
  55. "On Just Noticeable Difference for Bionic Eye", Yi Li, C McCarthy, and N Barnes, in Proc IEEE EMBC, August, 2012 link.
  56. "Text Image Processing for Visual Prostheses", by S Wang, Yi Li and N Barnes, in Proc IEEE EMBC, August, 2012.
  57. "An Face-Based Visual Fixation System for Prosthetic Vision", by X He, J Kim, and N Barnes, in Proc IEEE EMBC, August, 2012.
  58. "Phosphene Vision of Depth and Boundary from Segmentation-Based Associative MRFs", by Y Xie, N Liu, and N Barnes, in Proc IEEE EMBC, August, 2012.
  59. "A Simple and Practical Solution to the Rigid Body Motion Segmentation Problem using a RGB-D Camera", by S Perera and N Barnes, in Proc DICTA 11, Noosa, QLD, Australia, Dec, 2011
  60. "Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data", by T Wang, X He, N Barnes and C Shen, in Proc DICTA 11, Noosa, QLD, Australia, Dec, 2011
  61. "A Salient Information Processing System for Bionic Eye with Application to Obstacle Avoidance", by A Stacey, Y Li, and N Barnes, in Proc 33rd Annual International IEEE Engineering in Medicine and Biology Society Conference, (IEEE-EMBS), Boston, USA, Aug 2011.
  62. "Ground Surface Segmentation for Navigation with a Low Resolution Visual Prosthesis", by C McCarthy, P Lieby, and N Barnes, in Proc 33rd Annual International IEEE Engineering in Medicine and Biology Society Conference, (IEEE-EMBS), Boston, USA, Aug 2011.
  63. "Substituting Depth for Intensity and Real-Time Phosphene Rendering: Visual Navigation under Low Vision Conditions", by P Lieby, N Barnes, C McCarthy, N Liu, H Dennet, J Walker, V Botea, and A Scott, in Proc 33rd Annual International IEEE Engineering in Medicine and Biology Society Conference, (IEEE-EMBS), Boston, USA, Aug 2011.
  64. "Sparse Update for Loopy Belief Propagation: Fast Dense Registration for Large State Spaces", by P Xiao, N Barnes, P Leiby and T Caetano, In DICTA'10, Dec 2010, Sydney, Australia.
  65. "Surface extraction from iso-disparity contours", by Chris McCarthy, Nick Barnes, Proc Asian Conference on Computer Vision, Queenstown, NZ, Nov, 2010.
  66. "Asymmetric totally-corrective boosting for real-time object detection", by Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng, Zhang Ren, Proc Asian Conference on Computer Vision, Queenstown, NZ, Nov, 2010.
  67. "Totally-corrective multi-class boosting", by Zhihui Hao, Chunhua Shen, Nick Barnes, Bo Wang, Proc Asian Conference on Computer Vision, Queenstown, NZ, Nov, 2010.
  68. "Hippocampal Shape Classification Using Redundancy Constrained Feature Selection", by L Zhou, L Wang, C Shen and N Barnes, in MICCAI'10, Medical Image Computing and Computer-Assisted Intervention, Beijing, China, Sept 2010, LNCS 6362, pp 266-273.
  69. "A Novel Object-Oriented Stereo Matching on Multi-Scale Superpixels for Low-Resolution Depth Mapping", by T Hanyang, S Liu, N Liu, N Barnes, in Proc 32nd Annual International IEEE Engineering in Medicine and Biology Society Conference, (IEEE-EMBS), Buenos Aires Argentina, Aug 2010.
  70. "Perspective Invariant Angle Ordering", by D L Shaw and N Barnes, In DICTA'09, Dec 2009, Melbourne, Australia.
  71. "Applying Sum and Max Product Algorithms of Belief Propagation to 3D Shape Matching and Registration", by P Xiao, N Barnes, P Leiby and T Caetano, In DICTA'09, Dec 2009, Melbourne, Australia.
  72. "Rotation averaging with applications to multi-camera rig calibration", by Dai, Y., Trumpf, J., Li, H., Barnes, N., Hartley, R., In Asian Conference on Computer Vision, Sept 2009, Xian, China.
  73. "Robust Visual Homing with Landmark Angles", by John Lim and Nick Barnes, In Proc Robotics Science and Systems (RSS), June 2009, Seattle, USA.
  74. "Real Time Motion Recovery using a Hemispherical Sensor", by Rebecca G Dengate, Nick Barnes, John Lim, Chi Luu and Robyn Guymer, In Proc Australasian Conference on Robotics and Automation, ACRA, Dec., 2008.
  75. "Insect Inspired Three Dimensional Centring", by Luke Cole and Nick Barnes, In Proc Australasian Conference on Robotics and Automation, ACRA, Dec., 2008.
  76. "Towards a Hazard Perception Assistance System using Visual Motion", by Chris McCarthy and Nick Barnes, in Proc Workshop on Computer Vision for the Visually Impaired, A Workshop of ECCV, Oct, 2008.
  77. "Humanoid Vision Resembles Primate Archetype", by A Dankers, N Barnes, W Bischof and A Zelinksy, in Proc 11th Int Symposium on Experimental Robotics (ISER'08), July, 2008.
  78. "Regularized Discriminative Directon for Shape Difference Analysis", by L Zhou and R Hartley and L Wang and P Lieby and Nick Barnes, in MICCAI, 2008.
  79. "Directions of Egomotion from Antipodal Points", by John Lim and Nick Barnes, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, June, 2008.
  80. "Speeding up Mutual Information Computation Using NVIDIA CUDA Hardware", by Ramtin Shams and Nick Barnes, in DICTA 2007 Digital Image Computing: Techniques and Applications, Adelaide, Australia, Dec, 2007.
  81. "Image Registration in Hough Space Using Gradient of Images", by Ramtin Shams, Nick Barnes and Richard Hartley, in DICTA 2007 Digital Image Computing: Techniques and Applications, Adelaide, Australia, Dec, 2007.
  82. "Estimation of the Epipole using Optical Flow at Antipodal Points", by John Lim and Nick Barnes, in IEEE ICCV Workshop: Omnivis, Oct, 2007.
  83. "A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Descriminative Deformation", by Luping Zhou, Richard Hartley, Paulette Lieby, Nick Barnes, Kaarin Anstey, Nicolas Cherbuin and Perminder Sachdev, in MICCAI 2007 Medical Imaging Computing and Computer-Assisted Intervention, Brisbane, Australia, Nov, 2007.
  84. "An MRF and Gaussian Curvature based Shape Representation for Shape Matching", by Pengdong Xiao, Nick Barnes, Tiberio Caetano, and Paulette Leiby, in IEEE CVPR Workshop Beyond Multiview Geometry: Robust Estimation and Organization of Shapes from Multiple Cues, June, 2007.
  85. "A Reactive Vision System: Active-Dynamic Saliency", by Andrew Dankers, Nick Barnes and Alexander Zelinsky, Proc. Interational Conference on Vision Systems, March, 2007.
  86. "Real Time Biologically-Inspired Depth Maps from Spherical Flow", by Chris McMcarthy, Nick Barnes and Mandyam Srinivasan, Proc. IEEE Interational Conference on Robotics and Automation (ICRA2007), Rome, Italy, May, 2007.
  87. "Insect Inspired Robotics", by J Lim, C McCarthy, D Shaw, N Barnes and Luke Cole, in Proceedings ACRA06: The Australasian Conference on Robotics and Automation, Aukland, New Zealand, Dec., 2006.
  88. "Sign Detection and Driving Competency for Older Drivers with Impaired Vision", by J G Walker, N Barnes and K Anstey, in Proceedings ACRA06: The Australasian Conference on Robotics and Automation, Aukland, New Zealand, Dec., 2006.
  89. "Topological Repair on Voxel-Based Quadrangular Meshes", by P Lieby, N Barnes, and B McKay, in International Workshop on Mathematical Foundations of Computational Anatomy: Geometrical and Statistical Methods in Non-Linear Image Registration, a workshop at MICCAI 2006, Copenhagen, Denmark, Oct 2006.
  90. "A Robust Docking Strategy for a Mobile Robot using Flow Field Divergence", by Chris McCarthy and Nick Barnes , in Proc IEEE/RSJ IROS, Beijing, China Oct, 2006.
  91. "Primate Structures in Synthetic Dynamic Active Visual Saliency", by Andrew Dankers, Nick Barnes, and Alexander Zelinsky, in Proc Sixth International Conference on Epigenetic Robotics, Paris, Sept 2006.
  92. "Perspective Rectangle Detection", by David Shaw and Nick Barnes, Applications of Computer Vision, Workshop at the European Conference on Computer Vision (ECCV), May 2006.
  93. "Regular Polygon Detection", by Nick Barnes, Gareth Loy, David Shaw, and Antonio Robles-Kelly, IEEE International Conference on Computer Vision, Oct., 2005, Beijing China.
  94. "Bimodal Active Stereo Vision", by Andrew Dankers, Nick Barnes, and Alex Zelinsky, Proc. 5th Int Conf on Field and Service Robotics (FSR05), Port Douglas, 19-31 July, 2005.
  95. "Road Obstacle Detection Using Robust Model Fitting", by Niloofar Gheissari and Nick Barnes, Proc. 5th Int Conf on Field and Service Robotics (FSR05), Port Douglas, 19-31 July, 2005.
  96. "Real-time regular polygonal sign detection", by Nick Barnes and Gareth Loy, Proc. 5th Int Conf on Field and Service Robotics (FSR05), Port Douglas, 19-31 July, 2005.
  97. "Active Vision for Road Scene Awareness", by Andrew Dankers, Nick Barnes and Alexander Zelinsky, Proc. IEEE Intelligent Vehicles Symposium (IVS05)), Los Vegas, USA, June, 2005.
  98. "Improved Signal To Noise Ratio And Computational Speed For Gradient-Based Detection Algorithms", by Nick Barnes, Proc. IEEE Interational Conference on Robotics and Automation (ICRA2005), Barcelona, Spain, 2005.
  99. "A Sign Reading Driver Assistance System Using Eye Gaze", Luke Fletcher, Lars Petersson, , David Austin, and Alex Zelinksy, in Proc. IEEE Interational Conference on Robotics and Automation (ICRA2005), Barcelona, Spain, 2005.
  100. "Regular polygon detection as an interest point operator for slam", by D Shaw and N Barnes, in Proceedings ACRA04: The Australasian Conference on Robotics and Automation, Canberra, Australia, Dec., 2004.
  101. "Active Vision - Rectification and Depth Mapping", by A Dankers, N Barnes, and A Zelinsky, in Proceedings ACRA04: The Australasian Conference on Robotics and Automation, Canberra, Australia, Dec., 2004.
  102. "Cochlea Modelling: Clinical Challenges and Model Extraction", by Gavin Baker, S O'Leary, N Barnes and E Kazmierczak, in Proc AI2004, the 17th Australian Joint Conference on Artificial Intelligence, Cairns Australia, 2004.
  103. "Fast Shape-based Road Sign Detection for a Driver Assistance System", by G Loy and N Barnes, in Proc. IEEE/RSJ Interational Conference on Intelligent Robots and Systems (IROS2004), pp 70-75, Sept 28 - Oct 2, 2004, Sendai, Japan., 2004.
  104. "Comparison of Temporal Filters for Optical Flow Estimation in Continuous Mobile Robot Navigation", by C. McCarthy, N. Barnes, in Proc. Interational Symposium on Experimental Robotics (ISER2004), Singapore, 2004. --- "International Foundation of Robotics Research Student Fellowship Award".
  105. "Principal Flow for Tubular Objects with Non-circular Cross-sections", by Gavin Baker and N Barnes, in Proc International Conference on Pattern Recognition, Aug 2004, Vol 3, pp 750-753.
  106. "Non-linear voting in the space variant Hough transform", by N. Barnes, in Proc. OMNIVIS'04 Workshop at ECCV, The European Conference on Computer Vision, Prague, May, 2004.
  107. "Real-time radial symmetry speed sign detection and classification", by N Barnes and A Zelinsky, in Proc. IEEE Intelligent Vehicles Symposium, Parma, Italy, 2004, pp. 566-571.
  108. "Performance of optical flow techniques for indoor navigation with a mobile robot", by C. McCarthy, N. Barnes, in Proc. IEEE Interational Conference on Robotics and Automation (ICRA2004), New Orleans, USA, 2004.
  109. "An interactive driver assistance system monitoring the scene in and out of the vehicle", by L. Petersson, L. Fletcher, N. Barnes, A Zelinsky, in Proc. IEEE Interational Conference on Robotics and Automation (ICRA2004), New Orleans, USA, 2004.
  110. "Fast sum of absolute differences visual landmark detector", by C. Watman, D. Austin, N. Barnes, G. Overett, S. Thompson, in Proc. IEEE Interational Conference on Robotics and Automation (ICRA2004), New Orleans, USA, 2004.
  111. "Active monocular fixation using the log-polar sensor", by A. Yeung, N. Barnes, in Proc. Australian Conference on Robotics and Automation, Brisbane, Australia, December 2003.
  112. "Performance of temporal filters for optical flow estimation in mobile robot corridor centring and visual odometry", by C McCarthy, N Barnes, in Proc. Australian Conference on Robotics and Automation, Brisbane, Australia, December 2003.
  113. "Red is the new black - Or is it?", by D. Austin, N. Barnes, in Proc. Australian Conference on Robotics and Automation, Brisbane, Australia, December 2003.
  114. "Towards an Efficient Optimal Trajectory Planner for Multiple Mobile Robots", by J. Thomas, A. Blair, N. Barnes, in Proc. IEEE/RSJ Interational Conference on Intelligent Robots and Systems (IROS2003), Las Vegas, USA, Nov., 2003.
  115. "Particle Attraction Localisation", by D. George, N. Barnes, in Proc. IEEE/RSJ Interational Conference on Intelligent Robots and Systems (IROS2003), Las Vegas, USA, Nov., 2003.
  116. Knowledge-Based Autonomous Dynamic Colour Calibration", by D. Cameron, N. Barnes, in Proc. Robocup Symposium, 2003, Padua, Italy, July, 2003. --- Engineering Challenge Award
  117. "Visual servoing for robocup F180 league", by P Lee, T Dean, A Yap, D Walter, L Kitchen and N Barnes, in Proc. Robocup Symposium, July, 2003, Padua, Italy, 2003.
  118. "Towards Log-Polar Fixation for Mobile Robots - Analysis of Corner Tracking on the Log-Polar Camera", by A Yeung and N Barnes, in Proc International Conference on Pattern Recognition, Quebec, Canada, 2002.
  119. "Towards real-time strategic teamwork: a RoboCup case study", by K Yoshimura, N. Barnes, R Ronnquist and E A Sonenberg, in Proc. Robocup Symposium, 2002, Japan, 2002.
  120. "Omni-drive robot motion on curved paths: The fastest path between two points is not a straight-line", Ashmore M and N Barnes, in Proc Australian Joint Conference on Artificial Intelligence, Dec., 2002, 225-236.
  121. "Three embodied vision-guided docking methods for mobile robots" by N M Barnes, in EDEC2001 - Emergence and Development of Embodied Cognition - Symposium at the 3rd International Conference on Cognitive Science, Aug. 2001. PDF available at the symposium site.
  122. "Fuzzy control for active perceptual docking" by N M Barnes and Z Q Liu, in Proc. 10th IEEE Int Conf on Fuzzy Systems, Dec., 2001, Melbourne.
  123. "Creating Characters for Dynamic Stories in Interactive Games" by D Shaw N M Barnes and A Blair, in Proc. Int. Conf. on Application and Development of Computer Games in the 21st Century, Nov., 2001, Hong Kong, pp 43-48.
  124. "Direction Control for an Active docking Behaviour based on the rotational component of log-polar optic flow" by N M Barnes and G Sandini, in ECCV2000 - Proc. European Conference on Computer Vision, Dublin, Ireland, June. 2000, Vol. 2 pp. 167-181. (The copyright for this paper is held by © Spinger-Verlag), available as allowed under the copyright agreement.
  125. "Active docking based on the rotational component of log-polar optic flow" by N M Barnes and G Sandini, in ACCV2000 - Proc. Asian Conference on Computer Vision, Taiwan, Jan. 2000, pp. 955-960.
  126. "Three embodied vision-guided docking methods for mobile robots" by N M Barnes, in EDEC2001 - Emergence and Development of Embodied Cognition - Symposium at the 3rd International Conference on Cognitive Science, Aug. 2001. PDF available at the symposium site.
  127. "Collision-free path planning based on visual information: an application in circumnavigation'' by N M Barnes and Z Q Liu, in Fourth International Symposium on Signal Processing and its Applications, Robotics and Robot Vision Workshop , Gold Coast, August 1996, pp. 50-55.
  128. "A Knowledge Based Approach to Shape from Shading'' by N M Barnes and Z Q Liu, in ICIPS '97 - IEEE Int. Conf. on Intelligent Signal Processing , Beijing, October 1997, pp. 1390-1395.
  129. "Vision Guided Circumnavigating Autonomous Robots'' by N M Barnes and Z Q Liu, in ICSC '95 - Third International Computer Science Conference: Image Analysis Applications and Computer Graphics , Hong Kong, December 1995, Springer-Verlag, Lecture Notes in Computer Science.

Invited online book chapter.

  1. "An overview of visually guided docking''. by Nick Barnes /dock.html. In CVonline: On-Line Compendium of Computer Vision [Online]. R. Fisher (ed). Available: "http://www.dai.ed.ac.uk/CVonline/". [2000, November].

Conference abstracts

  1. "Enhancing object contrast using augmented depth improves mobility in patients implanted with a retinal prosthetic", by N. Barnes, A. F. Scott, A. Stacey, M. Petoe, L. Ayton, R. Dengate, R. H. Guymer, J G. Walker, Proceedings of the Association for Research in Vision and Opthamalmology annual meeting (ARVO 2014), Denver, Colorado, USA, May, 2015
  2. "Lanczos2 Image Filtering Improves Performance on Low Vision Tesets in Implanted Visual Prosthetic Patients", by N. Barnes, A. F. Scott, A. Stacey, P. Lieby, C McCarthy, M. Petoe, L. Ayton, M. Shivdasini, N. Sinclair, J G. Walker, Proceedings of the Association for Research in Vision and Opthamalmology annual meeting (ARVO 2014), Orlando, Florida, USA, May, 2014
  3. "Preliminary Results of the Bionic Vision Australia Suprachoroidal Visual Prosthesis Pilot Trial", by L. N. Ayton, P. J. Blamey, N. C. Sinclair M. N. Shivdasini, M. A. Petoe, C. McCarthy, N. Barnes, P. J. Allen, C. D. Luu, R. H. Guymer, Proceedings of the Association for Research in Vision and Opthamalmology annual meeting (ARVO 2014), Orlando, Florida, USA, May, 2014
  4. "The feasibility of vibration motors for a tactile display for the blind", by H. C. Stronks, P. Lieby, D. Parker, J. G. Walker, N. Barnes, Proceedings of the Association for Research in Vision and Opthamalmology annual meeting (ARVO 2014), Orlando, Florida, USA, May, 2014
  5. "Caricaturing improves face recognition in simulated age-related macular degeneration", Elinor McKone, Jessica Irons, Xuming He, Nick Barnes, Jan Provis, Rachael Dumbleton, Callin Ivanovici, Alisa Kwa, VSS, 2013.
  6. "Evaluating Lanczos2 image filtering for visual acuity in simluated prosthetic vision", by P. Lieby, N. Barnes, J G. Walker, A F. Scott, N. Barnes and L. Ayton Proceedings of the Association for Research in Vision and Opthamalmology annual meeting (ARVO 2012), Seatle, USA, May, 2013
  7. "Low contrast trip hazard avoidance with simulated prosthetic vision", by C. McCarthy, P. Lieby, J G. Walker, A F. Scott, V. Botea and N. Barnes, Proceedings of the Association for Research in Vision and Opthamalmology annual meeting (ARVO 2012), Fort Lauderdale, FL USA, 2012. (oral presentation)
  8. "Evaluating Depth-based Visual Representations For Mobility In Simulated Prosthetic Vision", by N. Barnes, P. Lieby, J G. Walker, C. McCarthy, V. Botea and A F. Scott, Proceedings of the Association for Research in Vision and Opthamalmology annual meeting (ARVO 2012), Fort Lauderdale, FL USA, 2012.
  9. "Mobility Experiments Using Simulated Prosthetic Vision With 98 Phosphenes Of Limited Dynamic Range", by P. Lieby, N. Barnes, C. McCarthy, V Botea, A F. Scott and J G. Walker, Proceedings of the Association for Research in Vision and Opthamalmology annual meeting (ARVO 2012), Fort Lauderdale, FL USA, 2012.
  10. "Orientation and mobility considerations in Bionic Eye Research", by Lauren Ayton, Sharon Haymes, Jill Keeffe, Chi Luu, Nick Barnes, Paulette Lieby, Janine G. Walker, Robyn Guymer, 14th International Mobility Conference, Palmerston North, New Zealand, Feb, 2012.
  11. Mobility Experiments with simulated vision and sensory substitution of depth, N Barnes P Lieby, H Dennet, C McCarthy, N Liu, J G Walker, ARVO, 2011.
  12. Face detection and tracking in video to facilitate face recognition with a visual prosthesis, Xuming He, Chunhua Shen, N Barnes, ARVO, 2011.
  13. Investigating the role of single-viewpoint depth data in visually-guided mobility, N Barnes P Lieby, H Dennet, J G Walker, C McCarthy, N Liu, Yi Li, VSS, 2011.
  14. "Object detection for bionic vision", by L Horne, N Barnes, X He and C McCarthy, 2nd Int Conf on Medical Bionics: Neural Interfaces for Damaged Nerves, Phillip Island, Vic, Australia, Nov, 2011.
  15. "Automatic Face Zooming and Its Stability Analysis on a Phosphene Display", by J Kim, X He and C McCarthy, 2nd Int Conf on Medical Bionics: Neural Interfaces for Damaged Nerves, Phillip Island, Vic, Australia, Nov, 2011.
  16. "The impact of environment complexity on mobility performance for prosthetic vision using the visual representation of depth", by J G Walker, N Barnes, P Lieby, C McCarthy and H Dennet, 43rd Ann Sci Congress of the Royal Australian and New Zealand College of Ophthalmologists - Sharing the Vision, Canberra, ACT, Australia, Nov, 2011.
  17. Expectations of a visual prosthesis: perspectives from people with impaired vision, by J E Keeffe, K L Francis, C D Luu, N Barnes, E L Lamoureaux, R H Guymer, ARVO, 2010.

Invited Workshop Papers

  1. "Robot vision for driver support systems", L Fletcher, N Barnes, and G Loy, in Advances in Robot Vision - From Domestic Environments to Medical Applications, a Workshop at IEEE/RSJ Interational Conference on Intelligent Robots and Systems (IROS04).
  2. "Insect perceptual behaviours as an inspiration for robust robot perceptual systems", by N Barnes, in Insect Sensors and Robotics: A workshop at the biology machine interface, Brisbane, 23-26 Aug, 2004

Keynotes, Special Sessions

  1. "Computer Vision for Prosthetic Vision", Keynote address IVCNZ, Dunedin, NZ, Novermber, 2012.
  2. "Image Processing for Prosthetic Vision", Invited Special Session, IEEE-EMBC 2012, Chair: Nick Barnes.
  3. "Progress in implantable prosthetic vision and the role of vision processing", Invited Special Session, IEEE-ICIP, 2013, Melbourne, Australia, Chair: Nick Barnes.

Last modified Jan 2020

Maintainer: Nick Barnes