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ORCIDGertjan J. Burghouts
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2020 – today
- 2024
[c33]Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang:
Graph Neural Networks for Learning Equivariant Representations of Neural Networks. ICLR 2024- [c32]Gertjan J. Burghouts, Klamer Schutte, Maarten Kruithof, Wyke Huizinga, Frank Ruis, H. Kuijf:
Synthesizing Classifiers from Prior Knowledge. VISIGRAPP (2): VISAPP 2024: 47-58 - [i20]Dennis Hoftijzer, Gertjan J. Burghouts, Luuk J. Spreeuwers:
Language-Based Augmentation to Address Shortcut Learning in Object Goal Navigation. CoRR abs/2402.05090 (2024) - [i19]Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang:
Graph Neural Networks for Learning Equivariant Representations of Neural Networks. CoRR abs/2403.12143 (2024) - [i18]Wouter Meijer, Anne C. Kemmeren, E. H. J. Riemens, J. E. Fransman, Michael van Bekkum, Gertjan J. Burghouts, Jelle van Mil:
Scaling 3D Reasoning with LMMs to Large Robot Mission Environments Using Datagraphs. CoRR abs/2407.10743 (2024) - [i17]Gertjan J. Burghouts, Marianne Schaaphok, Michael van Bekkum, Wouter Meijer, Fieke Hillerström, Jelle van Mil:
Affordance Perception by a Knowledge-Guided Vision-Language Model with Efficient Error Correction. CoRR abs/2407.13368 (2024) - [i16]Gertjan J. Burghouts, Fieke Hillerström, Erwin Walraven, Michael van Bekkum, Frank Ruis, Joris Sijs, Jelle van Mil, Judith Dijk:
Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols. CoRR abs/2407.13382 (2024) - [i15]Judith Dijk, Gertjan J. Burghouts, Kapil D. Katyal, Bryanna Y. Yeh, Craig Knuth, Ella Fokkinga, Tejaswi Kasarla, Pascal Mettes:
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability. CoRR abs/2407.13392 (2024) - [i14]Anne C. Kemmeren, Gertjan J. Burghouts, Michael van Bekkum, Wouter Meijer, Jelle van Mil:
Which objects help me to act effectively? Reasoning about physically-grounded affordances. CoRR abs/2407.13811 (2024) - [i13]Valentinos Pariza, Mohammadreza Salehi, Gertjan J. Burghouts, Francesco Locatello, Yuki M. Asano:
NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency. CoRR abs/2408.11054 (2024) - [i12]Jona Ruthardt, Gertjan J. Burghouts, Serge J. Belongie, Yuki M. Asano:
Do better language models have crisper vision? CoRR abs/2410.07173 (2024) - 2023
- [c31]Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek:
Self-Guided Diffusion Models. CVPR 2023: 18413-18422 - [c30]Wyke Huizinga, Maarten Kruithof, Gertjan J. Burghouts, Klamer Schutte:
Efficient Transfer by Robust Label Selection and Learning with Pseudo-Labels. ICIP 2023: 2660-2664 - [c29]Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Unlocking Slot Attention by Changing Optimal Transport Costs. ICML 2023: 41931-41951 - [c28]Dennis Hoftijzer, Gertjan J. Burghouts, Luuk J. Spreeuwers:
Language-Based Augmentation to Address Shortcut Learning in Object-Goal Navigation. IRC 2023: 1-8 - [i11]Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Unlocking Slot Attention by Changing Optimal Transport Costs. CoRR abs/2301.13197 (2023) - [i10]Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas
, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron:
Data Augmentations in Deep Weight Spaces. CoRR abs/2311.08851 (2023) - [i9]Leander van den Heuvel, Gertjan J. Burghouts, David W. Zhang, Gwenn Englebienne, Sabina B. van Rooij:
Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling. CoRR abs/2312.12000 (2023) - 2022
- [c27]Gertjan J. Burghouts, Maarten Kruithof, Wyke Huizinga, Klamer Schutte:
Cluster Centers Provide Good First Labels for Object Detection. ICIAP (1) 2022: 404-413 - [c26]Gertjan J. Burghouts, Wyke Huizinga:
Coarse-to-Fine Visual Question Answering by Iterative, Conditional Refinement. ICIAP (2) 2022: 418-428 - [c25]Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. ICLR 2022 - [c24]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Pruning Edges and Gradients to Learn Hypergraphs From Larger Sets. LoG 2022: 53 - [c23]Tejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes:
Maximum Class Separation as Inductive Bias in One Matrix. NeurIPS 2022 - [i8]Tejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes:
Maximum Class Separation as Inductive Bias in One Matrix. CoRR abs/2206.08704 (2022) - [i7]Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek:
Self-Guided Diffusion Models. CoRR abs/2210.06462 (2022) - 2021
- [c22]Gertjan J. Burghouts, Fieke Hillerström:
ZERO - Detect objects without training examples by knowing their parts. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c21]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Set Prediction without Imposing Structure as Conditional Density Estimation. ICLR 2021 - [c20]Frank Ruis, Gertjan J. Burghouts, Doina Bucur:
Independent Prototype Propagation for Zero-Shot Compositionality. NeurIPS 2021: 10641-10653 - [i6]Frank Ruis, Gertjan J. Burghouts, Doina Bucur:
Independent Prototype Propagation for Zero-Shot Compositionality. CoRR abs/2106.00305 (2021) - [i5]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Recurrently Predicting Hypergraphs. CoRR abs/2106.13919 (2021) - [i4]Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten:
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection. CoRR abs/2107.13648 (2021) - [i3]Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. CoRR abs/2111.12193 (2021) - 2020
- [c19]Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten:
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection. ICPR Workshops (4) 2020: 115-130 - [c18]Gertjan J. Burghouts:
Task-Specific Novel Object Characterization. ICPR Workshops (4) 2020: 447-455 - [i2]Gertjan J. Burghouts, Albert Huizing, Mark A. Neerincx:
Robotic Self-Assessment of Competence. CoRR abs/2005.01546 (2020) - [i1]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Set Prediction without Imposing Structure as Conditional Density Estimation. CoRR abs/2010.04109 (2020)
2010 – 2019
- 2016
- [j14]Iulia Lefter, Gertjan J. Burghouts, Léon J. M. Rothkrantz:
Recognizing Stress Using Semantics and Modulation of Speech and Gestures. IEEE Trans. Affect. Comput. 7(2): 162-175 (2016) - 2014
- [j13]Gerard Sanroma, Jose Luis Patino, Gertjan J. Burghouts, Klamer Schutte, James M. Ferryman:
A unified approach to the recognition of complex actions from sequences of zone-crossings. Image Vis. Comput. 32(5): 363-378 (2014) - [j12]Iulia Lefter, Gertjan J. Burghouts, Léon J. M. Rothkrantz:
An audio-visual dataset of human-human interactions in stressful situations. J. Multimodal User Interfaces 8(1): 29-41 (2014) - [j11]Jeroen van Rest, Franc Grootjen, Marc Grootjen, Remco Wijn, Olav Aarts, M. L. Roelofs, Gertjan J. Burghouts, Henri Bouma, Lejla Alic, Wessel Kraaij:
Requirements for multimedia metadata schemes in surveillance applications for security. Multim. Tools Appl. 70(1): 573-598 (2014) - [j10]Gertjan J. Burghouts, Klamer Schutte, Henri Bouma, R. J. M. den Hollander:
Selection of negative samples and two-stage combination of multiple features for action detection in thousands of videos. Mach. Vis. Appl. 25(1): 85-98 (2014) - [c17]Gertjan J. Burghouts, Paulien van Slingerland, R. J. M. ten Hove, R. J. M. den Hollander, Klamer Schutte:
Complex threat detection: Learning vs. rules, using a hierarchy of features. AVSS 2014: 375-380 - 2013
- [j9]Gertjan J. Burghouts:
Soft-Assignment Random-forest with an Application to Discriminative Representation of Human Actions in Videos. Int. J. Pattern Recognit. Artif. Intell. 27(4) (2013) - [j8]Gertjan J. Burghouts, Klamer Schutte:
Spatio-temporal layout of human actions for improved bag-of-words action detection. Pattern Recognit. Lett. 34(15): 1861-1869 (2013) - [j7]Iulia Lefter, Léon J. M. Rothkrantz, Gertjan J. Burghouts:
A comparative study on automatic audio-visual fusion for aggression detection using meta-information. Pattern Recognit. Lett. 34(15): 1953-1963 (2013) - [c16]Gertjan J. Burghouts, Pieter Eendebak, Henri Bouma, Johan-Martijn ten Hove:
Improved action recognition by combining multiple 2D views in the bag-of-words model. AVSS 2013: 250-255 - [c15]Maria Andersson, Jose Luis Patino, Gertjan J. Burghouts, Adam Flizikowski, Murray Evans, David Gustafsson, Henrik Petersson, Klamer Schutte, James M. Ferryman:
Activity recognition and localization on a truck parking lot. AVSS 2013: 263-269 - [c14]Gertjan J. Burghouts, S. P. van den Broek, Johan-Martijn ten Hove:
Spatio-temporal Saliency for Action Similarity. CVPR Workshops 2013: 257-262 - [c13]Gertjan J. Burghouts, Leo de Penning, Maarten Kruithof, Patrick Hanckmann, Johan-Martijn ten Hove, S. Landsmeer, S. P. van den Broek, Richard den Hollander, C. van Leeuwen, S. Korzec, Henri Bouma, Klamer Schutte:
A Search Engine for Retrieval and Inspection of Events with 48 Human Actions in Realistic Videos. ICPRAM 2013: 413-418 - 2012
- [c12]Iulia Lefter, Gertjan J. Burghouts, Léon J. M. Rothkrantz:
Automatic Audio-Visual Fusion for Aggression Detection Using Meta-information. AVSS 2012: 19-24 - [c11]Patrick Hanckmann, Klamer Schutte, Gertjan J. Burghouts:
Automated Textual Descriptions for a Wide Range of Video Events with 48 Human Actions. ECCV Workshops (1) 2012: 372-380 - [c10]Iulia Lefter, Gertjan J. Burghouts, Léon J. M. Rothkrantz:
Learning the fusion of audio and video aggression assessment by meta-information from human annotations. FUSION 2012: 1527-1533 - [c9]Gertjan J. Burghouts, Klamer Schutte:
Correlations between 48 human actions improve their detection. ICPR 2012: 3815-3818 - [c8]H. L. H. de Penning, R. J. M. den Hollander, Henri Bouma, Gertjan J. Burghouts, Artur S. d'Avila Garcez:
A Neural-Symbolic Cognitive Agent with a Mind's Eye. NeSy@AAAI 2012 - [c7]Gerard Sanroma, Gertjan J. Burghouts, Klamer Schutte:
Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar. SSPR/SPR 2012: 225-233 - [c6]Iulia Lefter, Léon J. M. Rothkrantz, Gertjan J. Burghouts:
Aggression Detection in Speech Using Sensor and Semantic Information. TSD 2012: 665-672 - 2011
- [j6]Gertjan J. Burghouts, Jan-Willem Marck:
Reasoning About Threats: From Observables to Situation Assessment. IEEE Trans. Syst. Man Cybern. Part C 41(5): 608-616 (2011) - [c5]Iulia Lefter, Léon J. M. Rothkrantz, Gertjan J. Burghouts, Zhenke Yang, Pascal Wiggers:
Addressing Multimodality in Overt Aggression Detection. TSD 2011: 25-32
2000 – 2009
- 2009
- [j5]Gertjan J. Burghouts, Jan-Mark Geusebroek:
Performance evaluation of local colour invariants. Comput. Vis. Image Underst. 113(1): 48-62 (2009) - [j4]Gertjan J. Burghouts, Jan-Mark Geusebroek:
Material-specific adaptation of color invariant features. Pattern Recognit. Lett. 30(3): 306-313 (2009) - [c4]Gertjan J. Burghouts, Bert van den Broek, B. G. Alefs, Eric den Breejen, Klamer Schutte:
Automated indicators for behavior interpretation. ICDP 2009: 1-6 - 2007
- [c3]Gertjan J. Burghouts, Arnold W. M. Smeulders, Jan-Mark Geusebroek:
The Distribution Family of Similarity Distances. NIPS 2007: 201-208 - 2006
- [j3]Jan C. van Gemert, Gertjan J. Burghouts, Frank J. Seinstra, Jan-Mark Geusebroek:
Color invariant object recognition using entropic graphs. Int. J. Imaging Syst. Technol. 16(5): 146-153 (2006) - [j2]Gertjan J. Burghouts, Jan-Mark Geusebroek:
Quasi-periodic spatiotemporal filtering. IEEE Trans. Image Process. 15(6): 1572-1582 (2006) - [c2]Gertjan J. Burghouts, Jan-Mark Geusebroek:
Color Textons for Texture Recognition. BMVC 2006: 1099-1108 - 2005
- [j1]Jan-Mark Geusebroek, Gertjan J. Burghouts, Arnold W. M. Smeulders:
The Amsterdam Library of Object Images. Int. J. Comput. Vis. 61(1): 103-112 (2005) - 2003
- [c1]Gertjan J. Burghouts, Dirk Heylen, Mannes Poel, Rieks op den Akker, Anton Nijholt:
An Action Selection Architecture for an Emotional Agent. FLAIRS 2003: 293-297
Coauthor Index
aka: Cees G. M. Snoek
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