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Nicolas Pugeault
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2020 – today
- 2024
- [c42]Özgü Göksu, Nicolas Pugeault:
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation. IJCNN 2024: 1-8 - [i19]Ozgu Goksu, Nicolas Pugeault:
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation. CoRR abs/2403.19579 (2024) - [i18]Tong Shi, Xuri Ge, Joemon M. Jose, Nicolas Pugeault, Paul Henderson:
Detail-Enhanced Intra- and Inter-modal Interaction for Audio-Visual Emotion Recognition. CoRR abs/2405.16701 (2024) - [i17]Rory Young, Nicolas Pugeault:
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach. CoRR abs/2410.10674 (2024) - 2023
- [j21]Antanas Kascenas, Pedro Sanchez
, Patrick Schrempf
The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 90: 102963 (2023) - [i16]Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir
The role of noise in denoising models for anomaly detection in medical images. CoRR abs/2301.08330 (2023) - 2022
- [j20]Faisal Alamri
Improving Object Detection Performance Using Scene Contextual Constraints. IEEE Trans. Cogn. Dev. Syst. 14(4): 1320-1330 (2022) - [c41]Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil:
Anomaly Detection via Context and Local Feature Matching. ISBI 2022: 1-5 - [c40]Antanas Kascenas, Nicolas Pugeault, Alison Q. O'Neil:
Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI. MIDL 2022: 653-664 - [i15]Charlie Kirkwood, Theo Economou, Henry Odbert, Nicolas Pugeault:
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data. CoRR abs/2201.10544 (2022) - 2020
- [j19]Thomas Kerr
Collaborative Deep Learning Models to Handle Class Imbalance in FlowCam Plankton Imagery. IEEE Access 8: 170013-170032 (2020) - [j18]Oscar Mendez Maldonado
SeDAR: Reading Floorplans Like a Human - Using Deep Learning to Enable Human-Inspired Localisation. Int. J. Comput. Vis. 128(5): 1286-1310 (2020) - [c39]Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang
Image Captioning Through Image Transformer. ACCV (4) 2020: 153-169 - [c38]Mohammad Rami Koujan, Luma Alharbawee
Real-time Facial Expression Recognition "In The Wild" by Disentangling 3D Expression from Identity. FG 2020: 24-31 - [c37]Faisal Alamri
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection. ICPR 2020: 9577-9584 - [i14]Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning through Image Transformer. CoRR abs/2004.14231 (2020) - [i13]Mohammad Rami Koujan, Luma Alharbawee, Giorgos A. Giannakakis, Nicolas Pugeault, Anastasios Roussos:
Real-time Facial Expression Recognition "In The Wild" by Disentangling 3D Expression from Identity. CoRR abs/2005.05509 (2020) - [i12]Charlie Kirkwood, Theo Economou, Henry Odbert, Nicolas Pugeault:
A framework for probabilistic weather forecast post-processing across models and lead times using machine learning. CoRR abs/2005.06613 (2020) - [i11]Charlie Kirkwood, Theo Economou, Nicolas Pugeault:
Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics? CoRR abs/2008.07320 (2020) - [i10]Faisal Alamri, Sinan Kalkan, Nicolas Pugeault:
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection. CoRR abs/2011.06978 (2020)
2010 – 2019
- 2019
- [c36]Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault:
Understanding and Visualizing Deep Visual Saliency Models. CVPR 2019: 10206-10215 - [c35]Sen He, Hamed Rezazadegan Tavakoli, Ali Borji, Nicolas Pugeault:
Human Attention in Image Captioning: Dataset and Analysis. ICCV 2019: 8528-8537 - [c34]Luka Smyth, Dmitry Kangin, Nicolas Pugeault:
Training-ValueNet: Data Driven Label Noise Cleaning on Weakly-Supervised Web Images. ICDL-EPIROB 2019: 307-312 - [c33]Faisal Alamri
Contextual Relabelling of Detected Objects. ICDL-EPIROB 2019: 313-319 - [i9]Dmitry Kangin, Nicolas Pugeault:
On-Policy Trust Region Policy Optimisation with Replay Buffers. CoRR abs/1901.06212 (2019) - [i8]Sen He, Hamed R. Tavakoli, Ali Borji, Nicolas Pugeault:
A Synchronized Multi-Modal Attention-Caption Dataset and Analysis. CoRR abs/1903.02499 (2019) - [i7]Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault:
Understanding and Visualizing Deep Visual Saliency Models. CoRR abs/1903.02501 (2019) - [i6]Faisal Alamri, Nicolas Pugeault:
Contextual Relabelling of Detected Objects. CoRR abs/1906.02534 (2019) - 2018
- [c32]Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault:
Aggregated Sparse Attention for Steering Angle Prediction. ICPR 2018: 2398-2403 - [c31]Oscar Mendez Maldonado
SeDAR - Semantic Detection and Ranging: Humans can Localise without LiDAR, can Robots? ICRA 2018: 1-8 - [c30]Dmitry Kangin, Nicolas Pugeault:
Continuous Control With a Combination of Supervised and Reinforcement Learning. IJCNN 2018: 1-8 - [i5]Sen He, Nicolas Pugeault:
Deep saliency: What is learnt by a deep network about saliency? CoRR abs/1801.04261 (2018) - [i4]Sen He, Ali Borji, Yang Mi, Nicolas Pugeault:
What Catches the Eye? Visualizing and Understanding Deep Saliency Models. CoRR abs/1803.05753 (2018) - [i3]Sen He, Nicolas Pugeault:
Salient Region Segmentation. CoRR abs/1803.05759 (2018) - [i2]Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault:
Aggregated Sparse Attention for Steering Angle Prediction. CoRR abs/1803.05785 (2018) - 2017
- [j17]Wail Mustafa
Multi-view object instance recognition in an industrial context. Robotica 35(2): 271-292 (2017) - [c29]Oscar Mendez Maldonado
Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras. ICCV 2017: 4687-4695 - [p1]Helen Cooper, Eng-Jon Ong, Nicolas Pugeault, Richard Bowden
Sign Language Recognition Using Sub-units. Gesture Recognition 2017: 89-118 - [i1]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
SeDAR - Semantic Detection and Ranging: Humans can localise without LiDAR, can robots? CoRR abs/1709.01500 (2017) - 2016
- [j16]Hande Çelikkanat
Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation. IEEE Trans. Cogn. Dev. Syst. 8(1): 42-59 (2016) - [c28]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors. BMVC 2016 - 2015
- [j15]Reinis Rudzits, Nicolas Pugeault
Efficient Learning of Pre-attentive Steering in a Driving School Framework. Künstliche Intell. 29(1): 51-57 (2015) - [j14]Dirk Kraft
Using surfaces and surface relations in an Early Cognitive Vision system. Mach. Vis. Appl. 26(7-8): 933-954 (2015) - [j13]Nicolas Pugeault, Richard Bowden
How Much of Driving Is Preattentive? IEEE Trans. Veh. Technol. 64(12): 5424-5438 (2015) - 2014
- [c27]Eng-Jon Ong, Nicolas Pugeault
Sign Spotting Using Hierarchical Sequential Patterns with Temporal Intervals. CVPR 2014: 1931-1938 - [c26]Hande Çelikkanat, Güner Orhan, Nicolas Pugeault
Learning and using context on a humanoid robot using latent dirichlet allocation. ICDL-EPIROB 2014: 201-207 - 2013
- [c25]Tim Sheerman-Chase
Improving recognition and identification of facial areas involved in Non-Verbal Communication by feature selection. FG 2013: 1-8 - [c24]Wail Mustafa
Multi-view object recognition using view-point invariant shape relations and appearance information. ICRA 2013: 4230-4237 - 2012
- [j12]Helen Cooper, Eng-Jon Ong, Nicolas Pugeault, Richard Bowden:
Sign language recognition using sub-units. J. Mach. Learn. Res. 13: 2205-2231 (2012) - [c23]Eng-Jon Ong, Helen Cooper, Nicolas Pugeault
Sign Language Recognition using Sequential Pattern Trees. CVPR 2012: 2200-2207 - 2011
- [j11]Nicolas Pugeault
Temporal accumulation of oriented visual features. J. Vis. Commun. Image Represent. 22(2): 153-163 (2011) - [j10]Reinhard Klette
Performance of Correspondence Algorithms in Vision-Based Driver Assistance Using an Online Image Sequence Database. IEEE Trans. Veh. Technol. 60(5): 2012-2026 (2011) - [c22]Helen Cooper, Nicolas Pugeault
Reading the signs: A video based sign dictionary. ICCV Workshops 2011: 914-919 - [c21]Nicolas Pugeault
Driving me around the bend: Learning to drive from visual gist. ICCV Workshops 2011: 1022-1029 - [c20]Nicolas Pugeault
Spelling it out: Real-time ASL fingerspelling recognition. ICCV Workshops 2011: 1114-1119 - [c19]Jeppe Barsøe Jessen, Florian Pilz, Dirk Kraft
Accumulation of Different Visual Feature Descriptors in a Coherent Framework. SCIA 2011: 79-90 - 2010
- [j9]Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari
A compact harmonic code for early vision based on anisotropic frequency channels. Comput. Vis. Image Underst. 114(6): 681-699 (2010) - [j8]Nicolas Pugeault
Visual Primitives: Local, Condensed, Semantically Rich Visual Descriptors and their Applications in Robotics. Int. J. Humanoid Robotics 7(3): 379-405 (2010) - [j7]Emre Baseski, Nicolas Pugeault
Using multi-modal 3D contours and their relations for vision and robotics. J. Vis. Commun. Image Represent. 21(8): 850-864 (2010) - [j6]Mila Popovic, Dirk Kraft
A strategy for grasping unknown objects based on co-planarity and colour information. Robotics Auton. Syst. 58(5): 551-565 (2010) - [j5]Dirk Kraft
Development of Object and Grasping Knowledge by Robot Exploration. IEEE Trans. Auton. Ment. Dev. 2(4): 368-383 (2010) - [c18]Nicolas Pugeault
Learning Pre-attentive Driving Behaviour from Holistic Visual Features. ECCV (6) 2010: 154-167 - [c17]Nicolas Pugeault, Karl Pauwels, Marc M. Van Hulle, Florian Pilz, Norbert Krüger:
A Three-level Architecture for Model-free Detection and Tracking of Independently Moving Objects. VISAPP (1) 2010: 237-244
2000 – 2009
- 2009
- [j4]Dirk Kraft, Nicolas Pugeault
Erratum: "Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object-Action complexes". Int. J. Humanoid Robotics 6(3): 561 (2009) - [j3]Renaud Detry, Nicolas Pugeault
A Probabilistic Framework for 3D Visual Object Representation. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1790-1803 (2009) - [c16]Dirk Kraft
Learning Objects and Grasp Affordances through Autonomous Exploration. ICVS 2009: 235-244 - [c15]Emre Baseski, Leon Bodenhagen
Using 3D contours and their relations for cognitive vision and robotics. ISCIS 2009: 409-414 - [c14]Kasper Broegaard Simonsen, Mads Thorsted Nielsen, Florian Pilz, Norbert Krüger
Spatial-Temporal Junction Extraction and Semantic Interpretation. ISVC (1) 2009: 275-286 - [c13]Emre Baseski, Lars Baunegaard With Jensen, Nicolas Pugeault, Florian Pilz, Karl Pauwels, Marc M. Van Hulle, Florentin Wörgötter, Norbert Krüger:
Road Interpretation for Driver Assistance based on an Early Cognitive Vision System. VISAPP (1) 2009: 496-505 - [c12]Bart Boesman, Lars Baunegaard With Jensen, Emre Baseski, Nicolas Pugeault, Norbert Krüger:
Bayesian Reasoning Using 3D Relations for Lane Marker Detection. VMV 2009: 127-134 - 2008
- [b1]Nicolas Pugeault:
Early cognitive vision: feedback mechanisms for the disambiguation of early visual representation. University of Göttingen, 2008 - [j2]Dirk Kraft
Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object-Action complexes. Int. J. Humanoid Robotics 5(2): 247-265 (2008) - [c11]Nicolas Pugeault
Accumulated Visual Representation for Cognitive Vision. BMVC 2008: 1-10 - [c10]Florian Pilz, Nicolas Pugeault
Comparison of Point and Line Features and Their Combination for Rigid Body Motion Estimation. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 280-304 - [c9]Renaud Detry, Nicolas Pugeault
Probabilistic Pose Recovery Using Learned Hierarchical Object Models. ICVW 2008: 107-120 - [c8]Lars Baunegaard With Jensen, Emre Baseski, Sinan Kalkan
Semantic Reasoning for Scene Interpretation. ICVW 2008: 121-134 - [c7]Nicolas Pugeault, Sinan Kalkan, Florentin Wörgötter, Emre Baseski, Norbert Krüger:
Relations Between Reconstructed 3D Entities. VISAPP (2) 2008: 186-193 - 2007
- [c6]Emre Baseski, Nicolas Pugeault
A Scene Representation Based on Multi-Modal 2D and 3D Features. ICCV 2007: 1-7 - [c5]Florian Pilz, Yan Shi, Daniel Grest, Nicolas Pugeault
Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation. ISVC (1) 2007: 692-701 - [c4]Nicolas Pugeault, Emre Baseski, Dirk Kraft, Florentin Wörgötter, Norbert Krüger:
Extraction of multi-modal object representations in a robot vision system. VISAPP (Workshop on on Robot Vision) 2007: 126-135 - [c3]Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari, Karl Pauwels, Marc M. Van Hulle, Javier Díaz, Eduardo Ros, Nicolas Pugeault, Norbert Krüger:
Compact (and accurate) early vision processing in the harmonic space. VISAPP (1) 2007: 213-220 - 2006
- [c2]Nicolas Pugeault
Multi-modal Scene Reconstruction using Perceptual Grouping Constraints. CVPR Workshops 2006: 195 - 2004
- [j1]Florentin Wörgötter, Norbert Krüger, Nicolas Pugeault
Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing. Nat. Comput. 3(3): 293-321 (2004) - 2003
- [c1]Nicolas Pugeault
Multi-Modal Matching Applied to Stereo. BMVC 2003: 1-10
Coauthor Index
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last updated on 2024-11-22 20:40 CET by the dblp team
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