Evolutionary design of context-free attentional operators. - Neil D. B. Bruce; M. Ed Jernigan (ICIP (1), 2003)

Image Analysis Through Local Information Measures. - Neil D. B. Bruce (ICPR (1), 2004)

An Attentional Framework for Stereo Vision. - Neil D. B. Bruce; John K. Tsotsos (CRV, 2005)

Saliency Based on Information Maximization. - Neil D. B. Bruce; John K. Tsotsos (NIPS, 2005)

Features that draw visual attention: an information theoretic perspective. - Neil D. B. Bruce (Neurocomputing, 2005)

A statistical basis for visual field anisotropies. - Neil D. B. Bruce; John K. Tsotsos (Neurocomputing, 2006)

Visual Correlates of Fixation Selection: A Look at the Spatial Frequency Domain. - Neil D. B. Bruce; Daniel P. Loach; John K. Tsotsos (ICIP (3), 2007)

An Information Theoretic Model of Saliency and Visual Search. - Neil D. B. Bruce; John K. Tsotsos (WAPCV, 2007)

Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency. - Neil D. B. Bruce; John K. Tsotsos (WAPCV, 2008)

Computational foundations for attentive processes. - John K. Tsotsos; Neil D. B. Bruce (Scholarpedia, 2008)

Harris corners in the real world: A principled selection criterion for interest points based on ecological statistics. - Neil D. B. Bruce; Pierre Kornprobst (CVPR, 2009)

On the role of context in probabilistic models of visual saliency. - Neil D. B. Bruce; Pierre Kornprobst (ICIP, 2009)

Visual Representation in the Determination of Saliency. - Neil D. B. Bruce; Xun Shi; Evgueni Simine; John K. Tsotsos (CRV, 2011)

Fast, recurrent, attentional modulation improves saliency representation and scene recognition. - Xun Shi; Neil D. B. Bruce; John K. Tsotsos (CVPR Workshops, 2011)

Visual Representation Determines Search Difficulty: Explaining Visual Search Asymmetries. - Neil D. B. Bruce; John K. Tsotsos (Frontiers Comput. Neurosci., 2011)

Recurrent Refinement for Visual Saliency Estimation in Surveillance Scenarios. - Neil D. B. Bruce; Xun Shi; John K. Tsotsos (CRV, 2012)

Biologically Motivated Local Contextual Modulation Improves Low-Level Visual Feature Representations. - Xun Shi; Neil D. B. Bruce; John K. Tsotsos (ICIAR (1), 2012)

Non-linear normalized entropy based exposure blending. - Neil D. B. Bruce (Graphics Interface, 2013)

Surround-see: enabling peripheral vision on smartphones during active use. - Xing-Dong Yang; Khalad Hasan; Neil D. B. Bruce; Pourang Irani (UIST, 2013)

Segmenting Objects in Weakly Labeled Videos. - Mrigank Rochan; Shafin Rahman; Neil D. B. Bruce; Yang Wang 003 (CRV, 2014)

Towards fine-grained fixation analysis: distilling out context dependence. - Neil D. B. Bruce (ETRA, 2014)

More human than human?: a visual processing approach to exploring believability of android faces. - Masayuki Nakane; James Everett Young; Neil D. B. Bruce (HAI, 2014)

Examining visual saliency prediction in naturalistic scenes. - Shafin Rahman; Mrigank Rochan; Yang Wang 003; Neil D. B. Bruce (ICIP, 2014)

ExpoBlend: Information preserving exposure blending based on normalized log-domain entropy. - Neil D. B. Bruce (Comput. Graph., 2014)

Saliency weighted quality assessment of tone-mapped images. - Hamid Reza Nasrinpour; Neil D. B. Bruce (ICIP, 2015)

Saliency, Scale and Information: Towards a Unifying Theory. - Shafin Rahman; Neil D. B. Bruce (NIPS, 2015)

Spatial Constancy of Surface-Embedded Layouts across Multiple Environments. - Barrett Ens; Eyal Ofek; Neil D. B. Bruce; Pourang Irani (SUI, 2015)

Shared Façades: Surface-Embedded Layout Management for Ad Hoc Collaboration Using Head-Worn Displays. - Barrett Ens; Eyal Ofek; Neil D. B. Bruce; Pourang Irani (Collaboration Meets Interactive Spaces, 2016)

Dense Image Labeling Using Deep Convolutional Neural Networks. - Md. Amirul Islam; Neil D. B. Bruce; Yang Wang 003 (CRV, 2016)

A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond. - Neil D. B. Bruce; Christopher Catton; Sasa Janjic (CVPR, 2016)

Factors underlying inter-observer agreement in gaze patterns: predictive modelling and analysis. - Shafin Rahman; Neil D. B. Bruce (ETRA, 2016)

Gaze-contingent interactive visualization of high-dynamic-range imagery. - Mahmoud Kalash; Karishma Singh; M. Rasit Eskicioglu; Neil D. B. Bruce (ETVIS, 2016)

Predicting task from eye movements: On the importance of spatial distribution, dynamics, and image features. - Jonathan F. G. Boisvert; Neil D. B. Bruce (Neurocomputing, 2016)

Sparse coding in early visual representation: From specific properties to general principles. - Neil D. B. Bruce; Shafin Rahman; Diana Carrier (Neurocomputing, 2016)

Weakly supervised object localization and segmentation in videos. - Mrigank Rochan; Shafin Rahman; Neil D. B. Bruce; Yang Wang 003 (Image Vis. Comput., 2016)

Salient Object Detection using a Context-Aware Refinement Network. - Md. Amirul Islam; Mahmoud Kalash; Mrigank Rochan; Neil D. B. Bruce; Yang Wang 003 (BMVC, 2017)

Gated Feedback Refinement Network for Dense Image Labeling. - Md. Amirul Islam; Mrigank Rochan; Neil D. B. Bruce; Yang Wang 003 (CVPR, 2017)

Movers, Shakers, and Those Who Stand Still: Visual Attention-grabbing Techniques in Robot Teleoperation. - Daniel J. Rea; Stela Hanbyeol Seo; Neil D. B. Bruce; James E. Young (HRI, 2017)

Tortoise and the Hare Robot: Slow and steady almost wins the race, but finishes more safely. - Daniel J. Rea; Mahdi Rahmani Hanzaki; Neil D. B. Bruce; James E. Young (RO-MAN, 2017)

Label Refinement Network for Coarse-to-Fine Semantic Segmentation. - Md. Amirul Islam; Shujon Naha; Mrigank Rochan; Neil D. B. Bruce; Yang Wang 003 (CoRR, 2017)

Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction. - Md. Amirul Islam; Mahmoud Kalash; Neil D. B. Bruce (BMVC, 2018)

On the Robustness of Deep Learning Models to Universal Adversarial Attack. - Rezaul Karim; Md. Amirul Islam; Noman Mohammed; Neil D. B. Bruce (CRV, 2018)

Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects. - Md. Amirul Islam; Mahmoud Kalash; Neil D. B. Bruce (CVPR, 2018)

Capturing real-world gaze behaviour: live and unplugged. - Karishma Singh; Mahmoud Kalash; Neil D. B. Bruce (ETRA, 2018)

Redundancy in Convolutional Neural Networks: Insights on Model Compression and Structure. - Sasa Janjic; Parimala Thulasiraman; Neil D. B. Bruce (IJCNN, 2018)

Malware Classification with Deep Convolutional Neural Networks. - Mahmoud Kalash; Mrigank Rochan; Noman Mohammed; Neil D. B. Bruce; Yang Wang 003; Farkhund Iqbal (NTMS, 2018)

Hybrid Deep Learning Model for Stock Price Prediction. - Mohammad Asiful Hossain; Rezaul Karim; Ruppa K. Thulasiram; Neil D. B. Bruce; Yang Wang 003 (SSCI, 2018)

Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling. - Md. Amirul Islam; Mrigank Rochan; Shujon Naha; Neil D. B. Bruce; Yang Wang 003 (CoRR, 2018)

SMILER: Saliency Model Implementation Library for Experimental Research. - Calden Wloka; Toni Kunic; Iuliia Kotseruba; Ramin Fahimi; Nicholas Frosst; Neil D. B. Bruce; John K. Tsotsos (CoRR, 2018)

In-depth Evaluation and Experimental Analysis of a Weight Pruning Genetic Algorithm. - Sasa Janjic; Parimala Thulasiraman; Neil D. B. Bruce (CEC, 2019)

Lossless Image Compression Using List Update Algorithms. - Arezoo Abdollahi; Neil D. B. Bruce; Shahin Kamali; Rezaul Karim (SPIRE, 2019)

Recurrent Iterative Gating Networks for Semantic Segmentation. - Rezaul Karim; Md. Amirul Islam; Neil D. B. Bruce (WACV, 2019)

Richer and Deeper Supervision Network for Salient Object Detection. - Sen Jia 002; Neil D. B. Bruce (CoRR, 2019)

Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. - Md. Amirul Islam; Matthew Kowal; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2020)

Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. - Sen Jia 002; Neil D. B. Bruce (CVPR, 2020)

How much Position Information Do Convolutional Neural Networks Encode? - Md. Amirul Islam; Sen Jia 002; Neil D. B. Bruce (ICLR, 2020)

Distributed Iterative Gating Networks for Semantic Segmentation. - Rezaul Karim; Md. Amirul Islam; Neil D. B. Bruce (WACV, 2020)

A Deep Learning Framework for Malware Classification. - Mahmoud Kalash; Mrigank Rochan; Noman Mohammed; Neil D. B. Bruce; Yang Wang 003; Farkhund Iqbal (Int. J. Digit. Crime Forensics, 2020)

EML-NET: An Expandable Multi-Layer NETwork for saliency prediction. - Sen Jia 002; Neil D. B. Bruce (Image Vis. Comput., 2020)

Simpler Does It: Generating Semantic Labels with Objectness Guidance. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2021)

Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (ICCV, 2021)

Shape or Texture: Understanding Discriminative Features in CNNs. - Md. Amirul Islam; Matthew Kowal; Patrick Esser; Sen Jia 002; Björn Ommer; Konstantinos G. Derpanis; Neil D. B. Bruce (ICLR, 2021)

Relative Saliency and Ranking: Models, Metrics, Data and Benchmarks. - Mahmoud Kalash; Md. Amirul Islam; Neil D. B. Bruce (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Maximizing Mutual Shape Information. - Md. Amirul Islam; Matthew Kowal; Patrick Esser; Björn Ommer; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2022)

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. - Matthew Kowal; Mennatullah Siam; Md. Amirul Islam; Neil D. B. Bruce; Richard P. Wildes; Konstantinos G. Derpanis (CVPR, 2022)

SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. - Md. Amirul Islam; Matthew Kowal; Konstantinos G. Derpanis; Neil D. B. Bruce (Int. J. Comput. Vis., 2023)

Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (Int. J. Comput. Vis., 2024)

Leveraging social media and google trends to identify waves of avian influenza outbreaks in USA and Canada. - Marzieh Soltani; Rozita Dara 001; Zvonimir Poljak; Caroline Dubé; Neil D. B. Bruce; Shayan Sharif (Expert Syst. Appl., 2025)

Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. - Matthew Kowal; Mennatullah Siam; Md. Amirul Islam; Neil D. B. Bruce; Richard P. Wildes; Konstantinos G. Derpanis (IEEE Trans. Pattern Anal. Mach. Intell., 2025)