I try to maintain a bibtex version of my publications list, for convenience. You can get it
.
I noticed that online aggregators of scientific publications are getting quite impressive (although they still tend to get stuff wrong).
Here are some interesting links:
Regardless, the most complete up-to-date publication list here is still relies on good old
:) You can find it all below, with pdfs versions or links (drop me an email if something you want is missing):
| [76] | SeDAR: Reading Floorplans Like a Human—Using Deep Learning to Enable Human-Inspired Localisation (O Mendez, S Hadfield, N Pugeault, R Bowden), In International Journal of Computer Vision, Springer US, 2020.
[bib] [pdf] [doi] |
| [75] | Real-time Facial Expression Recognition ``In The Wild'' by Disentangling 3D Expression from Identity (M.R. Koujan, L. Alharbawee, G. Giannakakis, N. Pugeault, A. Roussos), In IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020.
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| [74] | A framework for probabilistic weather forecast post-processing across models and lead times using machine learning (C. Kirkwood, T. Economou, H. Odbert, N. Pugeault), In Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020. (in press)
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| [73] | Improving object detection performance using scene contextual constraints (F. Alamri, N. Pugeault), In IEEE Transactions on Cognitive and Developmental Systems, 2020. (in press)
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| [72] | Training-ValueNet: Data Driven Label Noise Cleaning on Weakly-Supervised Web Images (Luka Smyth, Dmitry Kangin, Nicolas Pugeault), In Proceedings of the Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob'2019, IEEE, 2019.
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| [71] | Human Attention in Image Captioning: Dataset and Analysis (Sen He, Hamed R Tavakoli, Ali Borji, Nicolas Pugeault), In Proceedings of the IEEE International Conference on Computer Vision (ICCV'2019), IEEE, 2019.
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| [70] | Understanding and Visualizing Deep Visual Saliency Models (Sen He, Hamed R Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault), In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'2019), IEEE, 2019.
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| [69] | Contextual Relabelling of Detected Objects (Faisal Alamri, Nicolas Pugeault), In Proceedings of the Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob'2019, IEEE, 2019.
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| [68] | Aggregated Sparse Attention for Steering Angle Prediction (H. Sen, Y. Mi, D Kangin, N Pugeault), In Proceedings of the International Conference on Pattern Recognition (ICPR'2018), IEEE, 2018.
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| [67] | SeDAR-Semantic Detection and Ranging: Humans can localise without LiDAR, can robots? (O Mendez, S Hadfield, N Pugeault, R Bowden), In Proceedings of the International Conference on Robotics and Automation (ICRA'2018), IEEE, 2018.
[bib] [pdf] [doi] |
| [66] | On-Policy Trust Region Policy Optimisation with Replay Buffers (Dmitry Kangin, Nicolas Pugeault), arXiv, 2018.
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| [65] | Continuous Control with a Combination of Supervised and Reinforcement Learning (D Kangin, N Pugeault), In Proceedings of the International Joint Conference on Neural Networks (IJCNN'2018), IEEE, 2018.
[bib] [pdf] [doi] |
| [64] | What Catches the Eye? Visualizing and Understanding Deep Saliency Models (Sen He, Nicolas Pugeault), arXiv, 2018.
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| [63] | Salient Region Segmentation (Sen He, Nicolas Pugeault), arXiv, 2018.
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| [62] | Deep saliency: What is learnt by a deep network about saliency? (S He, N Pugeault), In Proceedings of the 2nd Workshop on Visualization for Deep Learning, at ICML'2017, 2017.
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| [61] | Multi-View Object Instance Recognition in an Industrial Context (W. Mustafa, N. Pugeault, A. Buch, N. Krüger), In Robotica, Cambridge University Press, volume 35, 2017.
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| [60] | Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras (O Mendez, S Hadfield, N Pugeault, R Bowden), In Proceedings of the International Conference on Computer Vision (ICCV'2017), IEEE, 2017.
[bib] [pdf] [doi] |
| [59] | Sign Language Recognition Using Sub-units (H. Cooper, E-J. Ong, N. Pugeault, R. Bowden), Chapter in , Springer International Publishing, 2017.
[bib] [pdf] [doi] |
| [58] | Learning Multi-Class Discriminative Patterns using Episode Trees (E.J. Ong, N. Pugeault, A. Gilbert, R. Bowden), In Proceedings of IARIA PATTERNS, 2016.
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| [57] | Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors (O. Mendez, S. Hadfield, N. Pugeault, R. Bowden), In Proceedings of the British Machine Vision Conference (BMVC'2016), 2016.
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| [56] | Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation (H. Çelikkanat, G. Orhan, N. Pugeault, F. Guerin, E. Şahin, S. Kalkan), In IEEE Transactions on Autonomous Mental Development, volume 8, 2016.
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| [55] | How Visuo-Spatial Mental Imagery Develops: Image Generation and Maintenance (M. C. Wimmer, K. L. Maras, E. J. Robinson, M. J. Doherty, N. Pugeault), In PLoS ONE, 2015.
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| [54] | Efficient Learning of Pre-attentive Steering in a Driving School Framework (R. Rudzits, N. Pugeault), In KI - Künstliche Intelligenz, Springer Berlin Heidelberg, volume 29, 2015.
[bib] [pdf] [doi] |
| [53] | How much of driving is pre-attentive? (N. Pugeault, R. Bowden), In IEEE Transactions on Vehicular Technologies, volume 64, 2015.
[bib] [pdf] [doi] |
| [52] | Using Surfaces and Surface Relations in an Early Cognitive Vision System (D. Kraft, W. Mustafa, M. Popović, J. Jessen, A.G. Buch, T.R. Savarimuthu, N. Pugeault, N. Krüger), In Machine Vision and Applications, Springer Berlin Heidelberg, volume 26, 2015.
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| [51] | Sign Spotting using Hierarchical Sequential Patterns with Temporal Intervals (E.J. Ong, O. Koller, N. Pugeault, R. Bowden), In Proceeedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'2014), IEEE, 2014.
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| [50] | Learning and Using Context on a Humanoid Robot Using Latent Dirichlet Allocation (H. Celikkanat, G. Ohran, Pugeault N., F. Guerin, E. Sahin, S. Kalkan), In Proceedings of the International Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2014.
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| [49] | Improving Recognition and Identification of Facial Areas Involved in Non-verbal Communication by Feature Selection (T. Sheerman-Chase, E.J. Ong, N. Pugeault, R. Bowden), In IEEE Conference on Face and Gesture (FG'2013), 2013.
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| [48] | Multi-View Object Recognition using View-Point Invariant Shape Relations and Appearance Information (W. Mustafa, N. Pugeault, N. Krueger), In IEEE International Conference on Robotics and Automation (ICRA'2013), IEEE, 2013.
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| [47] | Autonomous navigation and sign detector learning (L. Ellis, N. Pugeault, K. Ofjall, J. Hedborg, R. Bowden, M. Felsberg), In IEEE Workshop on Robot Vision (WORV'2013), Winter Vision Meetings, 2013.
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| [46] | Sign Language Recognition using Sequential Pattern Trees (E.J. Ong, H. Cooper, N. Pugeault, R. Bowden), In Proceeedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'2012), 2012.
[bib] [pdf] [doi] |
| [45] | Sign Language Recognition using Sub-Units (H. Cooper, E.J. Ong, N. Pugeault, R. Bowden), In Journal of Machine Learning Research, volume 13, 2012.
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| [44] | Temporal Accumulation of Oriented Visual Features (N. Pugeault, N. Krüger), In Journal of Visual Communication and Image Representation, volume 22, 2011.
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| [43] | Visual primitives: Local, condensed, semantically rich visual descriptors and their applications in robotics (N. Pugeault, F. Wörgötter, N. Krüger), In Special Issue on "Cognitive Humanoid Vision" of the International Journal of Humanoid Robotics, volume 7, 2011.
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| [42] | Spelling It Out: Real-Time ASL Fingerspelling Recognition (N. Pugeault, R. Bowden), In 1st IEEE Workshop on Consumers Depth Cameras for Computer Vision, in conjunction with ICCV'2011, 2011.
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| [41] | Driving me Around the Bend: Learning to Drive from Visual Gist (N. Pugeault, R. Bowden), In 1st IEEE Workshop on Challenges and Opportunities in Robotic Perception, in conjunction with ICCV'2011, 2011.
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| [40] | Performance of Correspondence Algorithms in Vision-Based Driver Assistance using an Online Image Sequence Database (R. Klette, N. Krüger, T. Vaudrey, K. Pauwels, M. van Hulle, S. Morales, F.I. Kandil, R. Haeusler, N. Pugeault, C. Rabe, M. Lappe), In IEEE Transactions on Vehicular Technologies, volume 60, 2011.
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| [39] | Accumulation of Different Visual Feature Descriptors in a Coherent Framework (J.B. Jessen, F. Pilz, D. Kraft, N. Pugeault, N. Krüger), In Scandinavian Conference on Image Analysis (SCIA), 2011.
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| [38] | Reading the Signs: A Video Based Sign Dictionary (H. Cooper, N. Pugeault, R. Bowden), In 2nd IEEE Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS), in conjunction with ICCV'2011, 2011.
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| [37] | A compact harmonic code for early vision based on anisotropic frequency channels (S. Sabatini, G. Gastaldi, F. Solari, K. Pauwels, M.M. van Hulle, J. Diaz, E. Ros, N. Pugeault, N. Krüger), In Computer Vision and Image Understanding, volume 114, 2010.
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| [36] | A Three-level architecture for detection and tracking of independently moving objects (N. Pugeault, F. Pilz, K. Pauwels, M. van Hulle, N. Krüger), In Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP'10), 2010.
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| [35] | Disambiguating multi-modal scene representations using perceptual grouping constraints (N. Pugeault, F. Wörgötter, N. Krüger), In PLoS ONE, volume 5, 2010.
[bib] [pdf] [doi] |
| [34] | Learning pre-attentive driving behaviour from holistic visual features (N. Pugeault, R. Bowden), In ECCV 2010, Part VI, LNCS 6316, 2010.
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| [33] | A Strategy for Grasping unknown Objects based on Co-Planarity and Colour Information (M. Popović, D. Kraft, L. Bodenhagen, E. Başeski, N. Pugeault, D. Kragic, T. Asfour, N. Krüger), In Robotic and Autonomous Systems, volume 58, 2010.
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| [32] | Early Cognitive Vision as a Front-end for Cognitive Systems (N. Krüger, N. Pugeault, E. Başeski, L. Baunegaard With Jensen, S. Kalkan, D. Kraft, J.B. Jessen, F. Pilz, A. Kær-Nielsen, M. Popovic, T. Asfour, J. Piater, D. Kragic, F. Wörgötter), In Workshop of Vision for Cognitive Tasks, at ECCV'2010, 2010.
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| [31] | Development of Object and Grasping Knowledge by Robot Exploration (D. Kraft, R. Detry, N. Pugeault, E. Başeski, F. Guerin, J. H. Piater, N. Krüger), In IEEE transactions on Autonomous Mental Development, volume 2, 2010.
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| [30] | Using multi-modal contours and their relations for vision and robotics (E. Başeski, N. Pugeault, S. Kalkan, L. Bodenhagen, J. Piater, N. Krüger), In Journal of Visual Communication and Image Representation, volume 21, 2010.
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| [29] | Spatial-Temporal Junction Extraction and Semantic Interpretation (K. Simonsen, M. Nielsen, F. Pilz, N. Krüger, N. Pugeault), In 5.th International Symposium on Visual Computing. Lecture Notes for Computer Science (LNCS), 2009.
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| [28] | Learning Objects and Grasp Affordances through Autonomous Exploration (D. Kraft, R. Detry, N. Pugeault, E. Başeski, J. Piater, N. Krüger), In International Conference on Computer Vision Systems (ICVS'2009), 2009.
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| [27] | Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object Action Complexes (D. Kraft, N. Pugeault, E. Başeski, M. Popović, D. Kragic, S. Kalkan, F. Wörgötter, N. Krüger), In Special Issue on ``Cognitive Humanoid Robots'' of the International Journal of Humanoid Robotics, volume 5, 2009.
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| [26] | A Probabilistic Framework for 3D Visual Object Representation (R. Detry, N. Pugeault, J. Piater), In IEEE transactions on Pattern Analysis and Machine Intelligence, volume 31, 2009.
[bib] [pdf] [doi] |
| [25] | Bayesian Reasoning Using 3D Relations for Lane Marker Detection (B. Boesman, L. Baunegaard With Jensen, E. Ba\cseski, N. Pugeault, N. Kruger), In Proceedings of the Vision, Modeling, and Visualization Workshop (VMV'2009), 2009.
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| [24] | Road Interpretation for Driver Assistance Based on an Early Cognitive Vision System (E. Başeski, L. B. W. Jensen, N. Pugeault, F. Pilz, K. Pauwels, M. M. van Hulle, F. Wörgötter, N. Krüger), In Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP'2009), 2009.
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| [23] | Using 3D Contours and Their Relations for Cognitive Vision and Robotics (E. Başeski, L. Bodenhagen, N. Pugeault, S. Kalkan, J. Piater, N. Krüger), In Proceedings of the 24th International Symposium on Computer and Information Sciences (ISCIS'2009), Special Session on Cognitive Cybernetics and Brain Modeling, 2009.
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| [22] | Early Cognitive Vision: Feedback Mechanisms for the Disambiguation of Early Visual Representation (N. Pugeault), PhD thesis, University of Göttingen, 2008.
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| [21] | Reconstruction uncertainty and 3D relations (N. Pugeault, S. Kalkan, E. Baseski, F. Wörgötter, N. Krüger), In Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP'2008), 2008.
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| [20] | Accumulated Visual Representation for Cognitive Vision (N. Pugeault, F. Wörgötter, N. Krüger), In Proceedings of the British Machine Vision Conference (BMVC'2008), 2008.
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| [19] | Early Cognitive Vision: Feedback Mechanisms for the Disambiguation of Early Visual Representation (N. Pugeault), Verlag Dr. Muller, 2008.
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| [18] | Representation and Integration: Combining Robot Control, High-Level Planning, and Action Learning (R. Petrick, D. Kraft, K. Mourão, C. Geib, N. Pugeault, N. Krüger, M. Steedman), In Proceedings of the 6th International Cognitive Robotics Workshop (CogRob 2008), Patras, Greece, July 21-22, 2008.
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| [17] | Exploration and Planning in a three Level Cognitive Architecture (D. Kraft, E. Başeski, M. Popović, A. M. Batog, A. Kjær-Nielsen, N. Krüger, R. Petrick, C. Geib, N. Pugeault, M. Steedman, T. Asfour, R. Dillmann, S. Kalkan, F. Wörgötter, B. Hommel, R. Detry, J. Piater), In International Conference on Cognitive Systems (CogSys), 2008.
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| [16] | Semantic Reasoning for Scene Interpretation (L. B. W. Jensen, E. Başeski, N. Pugeault, S. Kalkan, F. Wörgötter, N. Krüger), In Proceedings of the International Cognitive Vision Workshop (ICVW'2008), at the International Conference on Computer Vision Systems (ICVS'2008), 2008.
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| [15] | Probabilistic Pose Recovery Using Learned Hierarchical Object Models (R. Detry, N. Pugeault, J. Piater), In International Cognitive Vision Workshop (Workshop at the 6th International Conference on Vision Systems), 2008.
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| [14] | Compact and accurate early vision processing in the harmonic space. (S. P. Sabatini, G. Gastaldi, F. Solari, J. Diaz, E. Ros, K. Pauwels, K. M. M. Van Hulle, N. Pugeault, N. Krüger), In Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP'2007), 2007.
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| [13] | Extraction of multi-modal Object representations in a Robot Vision System (N. Pugeault, E. Başeski, D. Kraft, F. Wörgötter, N. Krüger), In Robot Vision Workshop at the Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2007.
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| [12] | Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation (F. Pilz, Y. Shi, D. Grest, N. Pugeault, S. Kalkan, N. Krüger), In International Conference on Computer Vision Systems (ICVS'2007), 2007.
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| [11] | A Scene Representation Based on Multi-Modal 2D and 3D Features (E. Başeski, N. Pugeault, S. Kalkan, D. Kraft, F. Wörgötter, N. Krüger.), In ICCV'2007 Workshop on 3D Representation for Recognition (3dRR'2007), 2007.
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| [10] | Model-independent grasping initializing object-model learning in a cognitive architecture (D. Aarno, J. Sommerfeld, D. Kragic, N. Pugeault, S. Kalkan, F. Wörgötter, D. Kraft, N. Krüger), In IEEE International Conference on Robotics and Automation (ICRA'2007) Workshop: ``From features to actions --- Unifying perspectives in computational and robot vision'', 2007.
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| [9] | Early Reactive Grasping with Second Order 3D Feature Relations (D. Aarno, J. Sommerfeld, D. Kragic, N. Pugeault, S. Kalkan, F. Wörgötter, D. Kraft, N. Krüger), In IEEE International Conference on Advanced Robotics (ICAR'2007), 2007.
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| [8] | Multi-modal Scene reconstruction using Perceptual Grouping Constraints (N. Pugeault, F. Wörgötter, N. Krüger), In Proc. IEEE Workshop on Perceptual Organization in Computer Vision (in conjunction with CVPR'2006), 2006.
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| [7] | Rigid Body Motion in an Early Cognitive Vision Framework (N. Pugeault, F. Wörgötter, N. Krüger), In Proceedings of the IEEE Systems, Man and Cybernetics Society Conference on Advances in Cybernetic Systems, 2006.
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| [6] | Object Action Complexes as an Interface for Planning and Robot Control (C. Geib, K. Mourao, R. Petrick, N. Pugeault, M. Steedman, N. Krüger, F. Wörgötter), In Workshop 'Toward Cognitive Humanoid Robots' at IEEE-RAS International Conference on Humanoid Robots (Humanoids 2006), 2006.
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| [5] | Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing (F. Wörgötter, N. Krüger, N. Pugeault, D. Calow, Lappe M., K. Pauwels, M. van Hulle, S. Tan, A. Johnston), In Natural Computing, volume 3, 2004.
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| [4] | Stereo Matching with a Contextual Confidence based on Collinear Groups (N. Pugeault, F. Wörgötter, N. Krüger), Chapter in Dynamic Perception (U.J. Ilg, H.H. Bülthoff, H.A. Mallot, eds.), Infix Verlag, St. Augustin, 2004.
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| [3] | Grouping over stereo for visual cues disambiguation (N. Pugeault, F. Wörgötter, N. Krüger), In Proceedings of the Conference Brain Inspired Cognitive Systems, 2004.
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| [2] | A non-local Stereo Similarity based on Collinear Groups (N. Pugeault, F. Wörgötter, N. Krüger), In Proceedings of the Fourth International ICSC Symposium on Engineering of Intelligent Systems, 2004.
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| [1] | Multi-modal Matching applied to Stereo (N. Pugeault, N. Krüger), In Proceedings of the British Machine Vision Conference (BMVC'2003), 2003.
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