Neil D. B. Bruce

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 56

Top Topics

Convolutional Neural Networks

Weakly Supervised

Salient Object Detection

Top Venues

Publications

Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. Int. J. Comput. Vis. 131 (3) (2023)
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CVPR (2022)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Maximizing Mutual Shape Information. BMVC (2022)
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. CoRR (2022)
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CoRR (2022)
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. CoRR (2021)
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
Simpler Does It: Generating Semantic Labels with Objectness Guidance. BMVC (2021)
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
Simpler Does It: Generating Semantic Labels with Objectness Guidance. CoRR (2021)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Shape or Texture: Understanding Discriminative Features in CNNs. CoRR (2021)
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. ICCV (2021)
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. CoRR (2021)
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. CoRR (2021)
Mahmoud Kalash, Md. Amirul Islam, Neil D. B. Bruce
Relative Saliency and Ranking: Models, Metrics, Data and Benchmarks. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Shape or Texture: Understanding Discriminative Features in CNNs. ICLR (2021)
Sen Jia, Neil D. B. Bruce
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. CoRR (2020)
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. BMVC (2020)
Md. Amirul Islam, Sen Jia, Neil D. B. Bruce
How much Position Information Do Convolutional Neural Networks Encode? ICLR (2020)
Sen Jia, Neil D. B. Bruce
EML-NET: An Expandable Multi-Layer NETwork for saliency prediction. Image Vis. Comput. 95 (2020)
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. CoRR (2020)
Md. Amirul Islam, Sen Jia, Neil D. B. Bruce
How Much Position Information Do Convolutional Neural Networks Encode? CoRR (2020)
Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce
Distributed Iterative Gating Networks for Semantic Segmentation. WACV (2020)
Sen Jia, Neil D. B. Bruce
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. CVPR (2020)
Mahmoud Kalash, Mrigank Rochan, Noman Mohammed, Neil D. B. Bruce, Yang Wang, Farkhund Iqbal
A Deep Learning Framework for Malware Classification. Int. J. Digit. Crime Forensics 12 (1) (2020)
Sen Jia, Neil D. B. Bruce
Richer and Deeper Supervision Network for Salient Object Detection. CoRR (2019)
Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce
Recurrent Iterative Gating Networks for Semantic Segmentation. WACV (2019)
Sasa Janjic, Parimala Thulasiraman, Neil D. B. Bruce
In-depth Evaluation and Experimental Analysis of a Weight Pruning Genetic Algorithm. CEC (2019)
Arezoo Abdollahi, Neil D. B. Bruce, Shahin Kamali, Rezaul Karim
Lossless Image Compression Using List Update Algorithms. SPIRE (2019)
Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce
Distributed Iterative Gating Networks for Semantic Segmentation. CoRR (2019)
Sasa Janjic, Parimala Thulasiraman, Neil D. B. Bruce
Redundancy in Convolutional Neural Networks: Insights on Model Compression and Structure. IJCNN (2018)
Md. Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce
Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction. BMVC (2018)
Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce
Recurrent Iterative Gating Networks for Semantic Segmentation. CoRR (2018)
Rezaul Karim, Md. Amirul Islam, Noman Mohammed, Neil D. B. Bruce
On the Robustness of Deep Learning Models to Universal Adversarial Attack. CRV (2018)
Calden Wloka, Toni Kunic, Iuliia Kotseruba, Ramin Fahimi, Nicholas Frosst, Neil D. B. Bruce, John K. Tsotsos
SMILER: Saliency Model Implementation Library for Experimental Research. CoRR (2018)
Mohammad Asiful Hossain, Rezaul Karim, Ruppa K. Thulasiram, Neil D. B. Bruce, Yang Wang
Hybrid Deep Learning Model for Stock Price Prediction. SSCI (2018)
Md. Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce
Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects. CVPR (2018)
Karishma Singh, Mahmoud Kalash, Neil D. B. Bruce
Capturing real-world gaze behaviour: live and unplugged. ETRA (2018)
Md. Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce
Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction. CoRR (2018)
Mahmoud Kalash, Md. Amirul Islam, Neil D. B. Bruce
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks. CoRR (2018)
Mahmoud Kalash, Mrigank Rochan, Noman Mohammed, Neil D. B. Bruce, Yang Wang, Farkhund Iqbal
Malware Classification with Deep Convolutional Neural Networks. NTMS (2018)
Md. Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce
Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects. CoRR (2018)
Md. Amirul Islam, Mrigank Rochan, Shujon Naha, Neil D. B. Bruce, Yang Wang
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling. CoRR (2018)
Md. Amirul Islam, Shujon Naha, Mrigank Rochan, Neil D. B. Bruce, Yang Wang
Label Refinement Network for Coarse-to-Fine Semantic Segmentation. CoRR (2017)
Daniel J. Rea, Mahdi Rahmani Hanzaki, Neil D. B. Bruce, James E. Young
Tortoise and the Hare Robot: Slow and steady almost wins the race, but finishes more safely. RO-MAN (2017)
Md. Amirul Islam, Mrigank Rochan, Neil D. B. Bruce, Yang Wang
Gated Feedback Refinement Network for Dense Image Labeling. CVPR (2017)
Md. Amirul Islam, Mahmoud Kalash, Mrigank Rochan, Neil D. B. Bruce, Yang Wang
Salient Object Detection using a Context-Aware Refinement Network. BMVC (2017)
Daniel J. Rea, Stela Hanbyeol Seo, Neil D. B. Bruce, James E. Young
Movers, Shakers, and Those Who Stand Still: Visual Attention-grabbing Techniques in Robot Teleoperation. HRI (2017)
Mahmoud Kalash, Karishma Singh, M. Rasit Eskicioglu, Neil D. B. Bruce
Gaze-contingent interactive visualization of high-dynamic-range imagery. ETVIS (2016)
Neil D. B. Bruce, Shafin Rahman, Diana Carrier
Sparse coding in early visual representation: From specific properties to general principles. Neurocomputing 171 (2016)
Mrigank Rochan, Shafin Rahman, Neil D. B. Bruce, Yang Wang
Weakly supervised object localization and segmentation in videos. Image Vis. Comput. 56 (2016)
Md. Amirul Islam, Neil D. B. Bruce, Yang Wang
Dense Image Labeling Using Deep Convolutional Neural Networks. CRV (2016)
Jonathan F. G. Boisvert, Neil D. B. Bruce
Predicting task from eye movements: On the importance of spatial distribution, dynamics, and image features. Neurocomputing 207 (2016)
Neil D. B. Bruce, Christopher Catton, Sasa Janjic
A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond. CVPR (2016)
Shafin Rahman, Neil D. B. Bruce
Factors underlying inter-observer agreement in gaze patterns: predictive modelling and analysis. ETRA (2016)
Barrett Ens, Eyal Ofek, Neil D. B. Bruce, Pourang Irani
Spatial Constancy of Surface-Embedded Layouts across Multiple Environments. SUI (2015)
Hamid Reza Nasrinpour, Neil D. B. Bruce
Saliency weighted quality assessment of tone-mapped images. ICIP (2015)
Shafin Rahman, Neil D. B. Bruce
Saliency, Scale and Information: Towards a Unifying Theory. NIPS (2015)
Shafin Rahman, Mrigank Rochan, Yang Wang, Neil D. B. Bruce
Examining visual saliency prediction in naturalistic scenes. ICIP (2014)
Masayuki Nakane, James Everett Young, Neil D. B. Bruce
More human than human?: a visual processing approach to exploring believability of android faces. HAI (2014)
Neil D. B. Bruce
ExpoBlend: Information preserving exposure blending based on normalized log-domain entropy. Comput. Graph. 39 (2014)
Neil D. B. Bruce
Towards fine-grained fixation analysis: distilling out context dependence. ETRA (2014)
Mrigank Rochan, Shafin Rahman, Neil D. B. Bruce, Yang Wang
Segmenting Objects in Weakly Labeled Videos. CRV (2014)
Xing-Dong Yang, Khalad Hasan, Neil D. B. Bruce, Pourang Irani
Surround-see: enabling peripheral vision on smartphones during active use. UIST (2013)
Neil D. B. Bruce
Non-linear normalized entropy based exposure blending. Graphics Interface (2013)
Neil D. B. Bruce, Xun Shi, John K. Tsotsos
Recurrent Refinement for Visual Saliency Estimation in Surveillance Scenarios. CRV (2012)
Xun Shi, Neil D. B. Bruce, John K. Tsotsos
Biologically Motivated Local Contextual Modulation Improves Low-Level Visual Feature Representations. ICIAR (1) (2012)
Neil D. B. Bruce, Xun Shi, Evgueni Simine, John K. Tsotsos
Visual Representation in the Determination of Saliency. CRV (2011)
Neil D. B. Bruce, John K. Tsotsos
Visual Representation Determines Search Difficulty: Explaining Visual Search Asymmetries. Frontiers Comput. Neurosci. 5 (2011)
Xun Shi, Neil D. B. Bruce, John K. Tsotsos
Fast, recurrent, attentional modulation improves saliency representation and scene recognition. CVPR Workshops (2011)
Neil D. B. Bruce, Pierre Kornprobst
Harris corners in the real world: A principled selection criterion for interest points based on ecological statistics. CVPR (2009)
Neil D. B. Bruce, Pierre Kornprobst
On the role of context in probabilistic models of visual saliency. ICIP (2009)
Neil D. B. Bruce, John K. Tsotsos
Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency. WAPCV (2008)
John K. Tsotsos, Neil D. B. Bruce
Computational foundations for attentive processes. Scholarpedia 3 (12) (2008)
Neil D. B. Bruce, Daniel P. Loach, John K. Tsotsos
Visual Correlates of Fixation Selection: A Look at the Spatial Frequency Domain. ICIP (3) (2007)
Neil D. B. Bruce, John K. Tsotsos
An Information Theoretic Model of Saliency and Visual Search. WAPCV (2007)
Neil D. B. Bruce, John K. Tsotsos
A statistical basis for visual field anisotropies. Neurocomputing 69 (10-12) (2006)
Neil D. B. Bruce
Features that draw visual attention: an information theoretic perspective. Neurocomputing (2005)
Neil D. B. Bruce, John K. Tsotsos
An Attentional Framework for Stereo Vision. CRV (2005)
Neil D. B. Bruce, John K. Tsotsos
Saliency Based on Information Maximization. NIPS (2005)
Neil D. B. Bruce
Image Analysis Through Local Information Measures. ICPR (1) (2004)
Neil D. B. Bruce, M. Ed Jernigan
Evolutionary design of context-free attentional operators. ICIP (1) (2003)