Neil D. B. Bruce

Orcid: 0000-0002-5710-1107

Affiliations:
  • University of Guelph, Canada
  • Ryerson University, Toronto, Canada (former)
  • University of Manitoba, Department of Computer Science (former)


According to our database1, Neil D. B. Bruce authored at least 68 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2023
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness.
Int. J. Comput. Vis., March, 2023

2022
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks.
CoRR, 2022

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Maximizing Mutual Shape Information.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Relative Saliency and Ranking: Models, Metrics, Data and Benchmarks.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Position, Padding and Predictions: A Deeper Look at Position Information in CNNs.
CoRR, 2021

Shape or Texture: Understanding Discriminative Features in CNNs.
Proceedings of the 9th International Conference on Learning Representations, 2021

Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Simpler Does It: Generating Semantic Labels with Objectness Guidance.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
EML-NET: An Expandable Multi-Layer NETwork for saliency prediction.
Image Vis. Comput., 2020

A Deep Learning Framework for Malware Classification.
Int. J. Digit. Crime Forensics, 2020

Distributed Iterative Gating Networks for Semantic Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

How much Position Information Do Convolutional Neural Networks Encode?
Proceedings of the 8th International Conference on Learning Representations, 2020

Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Richer and Deeper Supervision Network for Salient Object Detection.
CoRR, 2019

Recurrent Iterative Gating Networks for Semantic Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Lossless Image Compression Using List Update Algorithms.
Proceedings of the String Processing and Information Retrieval, 2019

In-depth Evaluation and Experimental Analysis of a Weight Pruning Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
SMILER: Saliency Model Implementation Library for Experimental Research.
CoRR, 2018

Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling.
CoRR, 2018

Hybrid Deep Learning Model for Stock Price Prediction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Malware Classification with Deep Convolutional Neural Networks.
Proceedings of the 9th IFIP International Conference on New Technologies, 2018

Redundancy in Convolutional Neural Networks: Insights on Model Compression and Structure.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Capturing real-world gaze behaviour: live and unplugged.
Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 2018

Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

On the Robustness of Deep Learning Models to Universal Adversarial Attack.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018

Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Label Refinement Network for Coarse-to-Fine Semantic Segmentation.
CoRR, 2017

Tortoise and the Hare Robot: Slow and steady almost wins the race, but finishes more safely.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Movers, Shakers, and Those Who Stand Still: Visual Attention-grabbing Techniques in Robot Teleoperation.
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Gated Feedback Refinement Network for Dense Image Labeling.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Salient Object Detection using a Context-Aware Refinement Network.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Weakly supervised object localization and segmentation in videos.
Image Vis. Comput., 2016

Sparse coding in early visual representation: From specific properties to general principles.
Neurocomputing, 2016

Predicting task from eye movements: On the importance of spatial distribution, dynamics, and image features.
Neurocomputing, 2016

Gaze-contingent interactive visualization of high-dynamic-range imagery.
Proceedings of the 2016 IEEE Second Workshop on Eye Tracking and Visualization, 2016

Factors underlying inter-observer agreement in gaze patterns: predictive modelling and analysis.
Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, 2016

A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Dense Image Labeling Using Deep Convolutional Neural Networks.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

Shared Façades: Surface-Embedded Layout Management for Ad Hoc Collaboration Using Head-Worn Displays.
Proceedings of the Collaboration Meets Interactive Spaces, 2016

2015
Spatial Constancy of Surface-Embedded Layouts across Multiple Environments.
Proceedings of the 3rd ACM Symposium on Spatial User Interaction, 2015

Saliency, Scale and Information: Towards a Unifying Theory.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Saliency weighted quality assessment of tone-mapped images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
ExpoBlend: Information preserving exposure blending based on normalized log-domain entropy.
Comput. Graph., 2014

Examining visual saliency prediction in naturalistic scenes.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

More human than human?: a visual processing approach to exploring believability of android faces.
Proceedings of the second international conference on Human-agent interaction, 2014

Towards fine-grained fixation analysis: distilling out context dependence.
Proceedings of the Eye Tracking Research and Applications, 2014

Segmenting Objects in Weakly Labeled Videos.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

2013
Surround-see: enabling peripheral vision on smartphones during active use.
Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, 2013

Non-linear normalized entropy based exposure blending.
Proceedings of the Graphics Interface 2013, 2013

2012
Biologically Motivated Local Contextual Modulation Improves Low-Level Visual Feature Representations.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

Recurrent Refinement for Visual Saliency Estimation in Surveillance Scenarios.
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012

2011
Visual Representation Determines Search Difficulty: Explaining Visual Search Asymmetries.
Frontiers Comput. Neurosci., 2011

Fast, recurrent, attentional modulation improves saliency representation and scene recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

Visual Representation in the Determination of Saliency.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2011

2009
On the role of context in probabilistic models of visual saliency.
Proceedings of the International Conference on Image Processing, 2009

Harris corners in the real world: A principled selection criterion for interest points based on ecological statistics.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Computational foundations for attentive processes.
Scholarpedia, 2008

Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency.
Proceedings of the Attention in Cognitive Systems, 2008

2007
An Information Theoretic Model of Saliency and Visual Search.
Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

Visual Correlates of Fixation Selection: A Look at the Spatial Frequency Domain.
Proceedings of the International Conference on Image Processing, 2007

2006
A statistical basis for visual field anisotropies.
Neurocomputing, 2006

2005
Features that draw visual attention: an information theoretic perspective.
Neurocomputing, 2005

Saliency Based on Information Maximization.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

An Attentional Framework for Stereo Vision.
Proceedings of the Second Canadian Conference on Computer and Robot Vision (CRV 2005), 2005

2004
Image Analysis Through Local Information Measures.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Evolutionary design of context-free attentional operators.
Proceedings of the 2003 International Conference on Image Processing, 2003


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