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ORCIDJan C. van Gemert
Jan van Gemert
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- affiliation: Delft University of Technology, Department of Intelligent Systems
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Journal Articles
- 2023
[j18]Marian Bittner
, Wei-Tse Yang, Xucong Zhang, Ajay Seth, Jan van Gemert, Frans C. T. van der Helm:
Towards Single Camera Human 3D-Kinematics. Sensors 23(1): 341 (2023)- 2022
- [j17]Zhao Yin, Victor Geraedts, Ziqi Wang, Maria Fiorella Contarino, Hamdi Dibeklioglu, Jan van Gemert:
Assessment of Parkinson's Disease Severity From Videos Using Deep Architectures. IEEE J. Biomed. Health Informatics 26(3): 1164-1176 (2022) - 2021
- [j16]Silvia L. Pintea, Nergis Tomen, Stanley F. Goes, Marco Loog, Jan C. van Gemert:
Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory. IEEE Trans. Image Process. 30: 8342-8353 (2021) - 2020
- [j15]Marcos Baptista-Ríos, Roberto Javier López-Sastre, Fabian Caba Heilbron, Jan C. van Gemert, Francisco Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón:
Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol. IEEE Access 8: 5139-5146 (2020) - [j14]Reza Serajeh, Seyran Khademi, Amir Mousavinia, Jan C. van Gemert:
On Sensitive Minima in Margin-Based Deep Distance Learning. IEEE Access 8: 145067-145076 (2020) - 2019
- [j13]Tobias Stahl, Silvia L. Pintea, Jan C. van Gemert:
Divide and Count: Generic Object Counting by Image Divisions. IEEE Trans. Image Process. 28(2): 1035-1044 (2019) - 2018
- [j12]Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders:
Asymmetric kernel in Gaussian Processes for learning target variance. Pattern Recognit. Lett. 108: 70-77 (2018) - [j11]Nicola Pezzotti, Thomas Höllt, Jan C. van Gemert, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova:
DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 24(1): 98-108 (2018) - 2017
- [j10]Mihir Jain, Jan C. van Gemert, Hervé Jégou, Patrick Bouthemy, Cees G. M. Snoek:
Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels. Int. J. Comput. Vis. 124(3): 287-311 (2017) - [j9]Sezer Karaoglu, Ran Tao, Jan C. van Gemert, Theo Gevers:
Con-Text: Text Detection for Fine-Grained Object Classification. IEEE Trans. Image Process. 26(8): 3965-3980 (2017) - 2016
- [j8]Silvia L. Pintea, Sezer Karaoglu, Jan C. van Gemert, Arnold W. M. Smeulders:
Large scale Gaussian Process for overlap-based object proposal scoring. Comput. Vis. Image Underst. 150: 95-108 (2016) - [j7]Pascal Mettes, Jan C. van Gemert, Cees G. M. Snoek:
No spare parts: Sharing part detectors for image categorization. Comput. Vis. Image Underst. 152: 131-141 (2016) - 2014
- [j6]Ivo Everts, Jan C. van Gemert, Theo Gevers:
Evaluation of Color Spatio-Temporal Interest Points for Human Action Recognition. IEEE Trans. Image Process. 23(4): 1569-1580 (2014) - [j5]Ivo Everts, Jan C. van Gemert, Thomas Mensink, Theo Gevers:
Robustifying Descriptor Instability Using Fisher Vectors. IEEE Trans. Image Process. 23(12): 5698-5706 (2014) - 2010
- [j4]Jan C. van Gemert, Cees G. M. Snoek, Cor J. Veenman, Arnold W. M. Smeulders, Jan-Mark Geusebroek:
Comparing compact codebooks for visual categorization. Comput. Vis. Image Underst. 114(4): 450-462 (2010) - [j3]Jan C. van Gemert, Cor J. Veenman, Arnold W. M. Smeulders, Jan-Mark Geusebroek:
Visual Word Ambiguity. IEEE Trans. Pattern Anal. Mach. Intell. 32(7): 1271-1283 (2010) - 2009
- [j2]Jan C. van Gemert, Cor J. Veenman, Jan-Mark Geusebroek:
Episode-Constrained Cross-Validation in Video Concept Retrieval. IEEE Trans. Multim. 11(4): 780-785 (2009) - 2006
- [j1]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)
Conference and Workshop Papers
- 2024
- [c109]Athanasios Masouris, Jan C. van Gemert:
End-to-End Chess Recognition. VISIGRAPP (4): VISAPP 2024: 393-403 - [c108]Mark Basting, Robert-Jan Bruintjes, Thaddäus Wiedemer, Matthias Kümmerer, Matthias Bethge, Jan van Gemert:
Scale Learning in Scale-Equivariant Convolutional Networks. VISIGRAPP (2): VISAPP 2024: 567-574 - 2023
- [c107]Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert:
What Affects Learned Equivariance in Deep Image Recognition Models? CVPR Workshops 2023: 4839-4847 - [c106]Xin Liu, Fatemeh Karimi Nejadasl, Jan C. van Gemert, Olaf Booij, Silvia L. Pintea:
Objects do not disappear: Video object detection by single-frame object location anticipation. ICCV 2023: 6927-6938 - [c105]Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef:
Differentiable Transportation Pruning. ICCV 2023: 16911-16921 - [c104]Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert:
A step towards understanding why classification helps regression. ICCV 2023: 19915-19924 - [c103]Tom Edixhoven, Attila Lengyel, Jan C. van Gemert:
Using and Abusing Equivariance. ICCV (Workshops) 2023: 119-128 - [c102]Ombretta Strafforello, Xin Liu, Klamer Schutte, Jan van Gemert:
Video BagNet: short temporal receptive fields increase robustness in long-term action recognition. ICCV (Workshops) 2023: 159-166 - [c101]Cees Jol, Junhan Wen, Jan van Gemert:
Non-Destructive Infield Quality Estimation of Strawberries using Deep Architectures. ICCV (Workshops) 2023: 515-524 - [c100]Casper C. J. van Engelenburg, Seyran Khademi, Jan C. van Gemert:
SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity. ICCV (Workshops) 2023: 1565-1574 - [c99]Frans de Boer, Jan C. van Gemert, Jouke Dijkstra, Silvia L. Pintea:
Is there progress in activity progress prediction? ICCV (Workshops) 2023: 2950-2958 - [c98]Ombretta Strafforello, Klamer Schutte, Jan C. van Gemert:
Are current long-term video understanding datasets long-term? ICCV (Workshops) 2023: 2959-2968 - [c97]Jan Warchocki, Teodor Oprescu, Yunhan Wang, Alexandru Damacus, Paul Misterka, Robert-Jan Bruintjes, Attila Lengyel, Ombretta Strafforello, Jan van Gemert:
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models. ICCV (Workshops) 2023: 3000-3008 - [c96]Joris Quist, Yunqiang Li, Jan van Gemert:
Understanding weight-magnitude hyperparameters in training binary networks. ICLR 2023 - [c95]Yicong Tan, Prerak Mody, Viktor van der Valk, Marius Staring, Jan van Gemert:
Analyzing components of a transformer under different dataset scales in 3D prostate CT segmentation. Medical Imaging: Image Processing 2023 - [c94]Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert:
Color Equivariant Convolutional Networks. NeurIPS 2023 - [c93]Xinqi Li, Yi Zhang, Yidong Zhao, Jan van Gemert, Qian Tao:
Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI. STACOM@MICCAI 2023: 77-87 - [c92]Sieger Falkena, Hadi Jamali Rad, Jan van Gemert:
LAB: Learnable Activation Binarizer for Binary Neural Networks. WACV 2023: 6414-6423 - 2022
- [c91]Yunqiang Li, Silvia-Laura Pintea, Jan C. van Gemert:
Equal Bits: Enforcing Equally Distributed Binary Network Weights. AAAI 2022: 1491-1499 - [c90]Yancong Lin, Silvia-Laura Pintea, Jan C. van Gemert:
NeRD++: Improved 3D-mirror symmetry learning from a single image. BMVC 2022: 223 - [c89]Liang Zeng, Attila Lengyel, Nergis Tomen, Jan C. van Gemert:
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation. BMVC 2022: 893 - [c88]Yancong Lin, Ruben Wiersma, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, Jan C. van Gemert:
Deep vanishing point detection: Geometric priors make dataset variations vanish. CVPR 2022: 6093-6103 - [c87]Ombretta Strafforello, Vanathi Rajasekart, Osman Semih Kayhan, Oana Inel, Jan van Gemert:
Humans Disagree With the IoU for Measuring Object Detector Localization Error. ICIP 2022: 1261-1265 - [c86]Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Puck Alkemade, Thijs Eijsvogels, Jan C. van Gemert:
Heart rate estimation in intense exercise videos. ICIP 2022: 3933-3937 - [c85]David W. Romero, Robert-Jan Bruintjes, Jakub Mikolaj Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan van Gemert:
FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes. ICLR 2022 - [c84]Burak Yildiz, Seyran Khademi, Ronald Maria Siebes, Jan C. van Gemert:
AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift. ICPR 2022: 2749-2755 - 2021
- [c83]Yunqiang Li, Jan van Gemert:
Deep Unsupervised Image Hashing by Maximizing Bit Entropy. AAAI 2021: 2002-2010 - [c82]Nikhil Saldanha, Silvia-Laura Pintea, Jan C. van Gemert, Nergis Tomen:
Frequency learning for structured CNN filters with Gaussian fractional derivatives. BMVC 2021: 210 - [c81]Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert:
No Frame Left Behind: Full Video Action Recognition. CVPR 2021: 14892-14901 - [c80]Attila Lengyel, Sourav Garg, Michael Milford, Jan C. van Gemert:
Zero-Shot Day-Night Domain Adaptation with a Physics Prior. ICCV 2021: 4379-4389 - [c79]Nergis Tomen, Jan C. van Gemert:
Spectral Leakage and Rethinking the Kernel Size in CNNs. ICCV 2021: 5118-5127 - [c78]Andrea Alfieri, Yancong Lin, Jan C. van Gemert:
Investigating transformers in the decomposition of polygonal shapes as point collections. ICCVW 2021: 2076-2085 - [c77]Attila Lengyel, Jan van Gemert:
Exploiting Learned Symmetries in Group Equivariant Convolutions. ICIP 2021: 759-763 - [c76]Yancong Lin, Silvia-Laura Pintea, Jan van Gemert:
Semi-Supervised Lane Detection With Deep Hough Transform. ICIP 2021: 1514-1518 - [c75]Osman Semih Kayhan, Bart Vredebregt, Jan C. van Gemert:
Hallucination In Object Detection - A Study In Visual Part VERIFICATION. ICIP 2021: 2234-2238 - [c74]Yapkan Choi, Yeshwanth Napolean, Jan C. van Gemert:
The Arm-Swing is Discriminative in Video Gait Recognition for Athlete Re-Identification. ICIP 2021: 2309-2313 - [c73]Noor Ul Sehr Zia, Osman Semih Kayhan, Jan van Gemert:
PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations. ICIP 2021: 2598-2602 - [c72]Nergis Tomen, Silvia-Laura Pintea, Jan van Gemert:
Deep Continuous Networks. ICML 2021: 10324-10335 - [c71]Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert:
ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility. RRPR 2021: 3-11 - 2020
- [c70]Kanav Anand, Ziqi Wang, Marco Loog, Jan van Gemert:
Black Magic in Deep Learning: How Human Skill Impacts Network Training. BMVC 2020 - [c69]Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert:
Top-Down Networks: A coarse-to-fine reimagination of CNNs. CVPR Workshops 2020: 3244-3253 - [c68]Osman Semih Kayhan, Jan C. van Gemert:
On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location. CVPR 2020: 14262-14273 - [c67]Yancong Lin, Silvia L. Pintea, Jan C. van Gemert:
Deep Hough-Transform Line Priors. ECCV (22) 2020: 323-340 - [c66]Amogh Gudi, Xin Li, Jan van Gemert:
Efficiency in Real-Time Webcam [inline-graphic not available: see fulltext] Tracking. ECCV Workshops (1) 2020: 529-543 - [c65]Soroosh Poorgholi, Osman Semih Kayhan, Jan C. van Gemert:
t-EVA: Time-Efficient t-SNE Video Annotation. ICPR Workshops (4) 2020: 153-169 - [c64]Ziqi Wang, Marco Loog, Jan van Gemert:
Respecting Domain Relations: Hypothesis Invariance for Domain Generalization. ICPR 2020: 9756-9763 - [c63]Xiangwei Shi, Yunqiang Li, Xin Liu, Jan van Gemert:
WeightAlign: Normalizing Activations by Weight Alignment. ICPR 2020: 9788-9795 - [c62]Xiangwei Shi, Seyran Khademi, Yunqiang Li, Jan van Gemert:
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels. ICPR 2020: 10289-10296 - [c61]Rafal Pytel, Osman Semih Kayhan, Jan C. van Gemert:
Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions. ICPR 2020: 10568-10575 - 2019
- [c60]Yunqiang Li, Wenjie Pei, Yufei Zha, Jan van Gemert:
Push for Quantization: Deep Fisher Hashing. BMVC 2019: 21 - [c59]Xiangwei Shi, Seyran Khademi, Jan van Gemert:
Deep Visual City Recognition Visualization. CVPR Workshops 2019: 57-62 - [c58]Michele Claus, Jan van Gemert:
ViDeNN: Deep Blind Video Denoising. CVPR Workshops 2019: 1843-1852 - [c57]Marcos Baptista-Ríos, Roberto Javier López-Sastre, Fabian Caba Heilbron, Jan van Gemert, Francisco Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón:
The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos. ICCV Workshops 2019: 1282-1284 - [c56]Ziqi Wang, Jiahui Li, Seyran Khademi, Jan van Gemert:
Attention-Aware Age-Agnostic Visual Place Recognition. ICCV Workshops 2019: 1437-1446 - [c55]Amogh Gudi, Marian Bittner, Roelof Lochmans, Jan van Gemert:
Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability. ICCV Workshops 2019: 1570-1579 - [c54]Xin Liu, Seyran Khademi, Jan C. van Gemert:
Cross Domain Image Matching in Presence of Outliers. ICCV Workshops 2019: 3250-3256 - [c53]Yeshwanth Napolean, Priadi Teguh Wibowo, Jan C. van Gemert:
Running Event Visualization using Videos from Multiple Cameras. MMSports@MM 2019: 82-90 - 2018
- [c52]Seyran Khademi, Xiangwei Shi, Tino Mager, Ronald Siebes, Carola Hein, Victor de Boer, Jan C. van Gemert:
Sight-Seeing in the Eyes of Deep Neural Networks. eScience 2018: 407-408 - [c51]Silvia L. Pintea, Jian Zheng, Xilin Li, Paulina J. M. Bank, Jacobus J. van Hilten, Jan C. van Gemert:
Hand-Tremor Frequency Estimation in Videos. ECCV Workshops (6) 2018: 213-228 - [c50]Omar Hommos, Silvia L. Pintea, Pascal S. M. Mettes, Jan C. van Gemert:
Using Phase Instead of Optical Flow for Action Recognition. ECCV Workshops (6) 2018: 678-691 - [c49]Silvia L. Pintea, Yue Liu, Jan C. van Gemert:
Recurrent Knowledge Distillation. ICIP 2018: 3393-3397 - 2017
- [c48]Amogh Gudi, Nicolai van Rosmalen, Marco Loog, Jan C. van Gemert:
Object-Extent Pooling for Weakly Supervised Single-Shot Localization. BMVC 2017 - [c47]Yichao Zhang, Silvia L. Pintea, Jan C. van Gemert:
Video Acceleration Magnification. CVPR 2017: 502-510 - [c46]Miriam W. Huijser, Jan C. van Gemert:
Active Decision Boundary Annotation with Deep Generative Models. ICCV 2017: 5296-5305 - [c45]Vedran Vukotic, Silvia-Laura Pintea, Christian Raymond, Guillaume Gravier, Jan C. van Gemert:
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. ICIAP (1) 2017: 140-151 - 2016
- [c44]Jörn-Henrik Jacobsen, Jan C. van Gemert, Zhongyu Lou, Arnold W. M. Smeulders:
Structured Receptive Fields in CNNs. CVPR 2016: 2610-2619 - [c43]Silvia L. Pintea, Jan C. van Gemert:
Making a Case for Learning Motion Representations with Phase. ECCV Workshops (3) 2016: 55-64 - [c42]Pascal Mettes, Jan C. van Gemert, Cees G. M. Snoek:
Spot On: Action Localization from Pointly-Supervised Proposals. ECCV (5) 2016: 437-453 - [c41]Julian F. P. Kooij, Jan C. van Gemert:
Depth-Aware Motion Magnification. ECCV (8) 2016: 467-482 - [c40]Silvia L. Pintea, Pascal Mettes, Jan C. van Gemert, Arnold W. M. Smeulders:
Featureless: Bypassing feature extraction in action categorization. ICIP 2016: 196-200 - [c39]Svetlana Kordumova, Jan C. van Gemert, Cees G. M. Snoek:
Exploring the Long Tail of Social Media Tags. MMM (1) 2016: 51-62 - 2015
- [c38]Jan C. van Gemert, Mihir Jain, Ella Gati, Cees G. M. Snoek:
APT: Action localization proposals from dense trajectories. BMVC 2015: 177.1-177.12 - [c37]Mihir Jain, Jan C. van Gemert, Cees G. M. Snoek:
What do 15, 000 object categories tell us about classifying and localizing actions? CVPR 2015: 46-55 - [c36]Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek:
Objects2action: Classifying and Localizing Actions without Any Video Example. ICCV 2015: 4588-4596 - [c35]Sezer Karaoglu, Ivo Everts, Jan C. van Gemert, Theo Gevers:
Per-patch metric learning for robust image matching. ICIP 2015: 3846-3850 - [c34]Pascal Mettes, Jan C. van Gemert, Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek:
Bag-of-Fragments: Selecting and Encoding Video Fragments for Event Detection and Recounting. ICMR 2015: 427-434 - 2014
- [c33]Mihir Jain, Jan C. van Gemert, Hervé Jégou, Patrick Bouthemy, Cees G. M. Snoek:
Action Localization with Tubelets from Motion. CVPR 2014: 740-747 - [c32]Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders:
Déjà Vu: - Motion Prediction in Static Images. ECCV (3) 2014: 172-187 - [c31]Jan C. van Gemert, Camiel R. Verschoor, Pascal Mettes, Kitso Epema, Lian Pin Koh, Serge A. Wich:
Nature Conservation Drones for Automatic Localization and Counting of Animals. ECCV Workshops (1) 2014: 255-270 - [c30]Thomas Mensink, Jan C. van Gemert:
The Rijksmuseum Challenge: Museum-Centered Visual Recognition. ICMR 2014: 451 - [c29]Cees G. M. Snoek, Koen E. A. van de Sande, Daniel Fontijne, Spencer Cappallo, Jan van Gemert, AmirHossein Habibian, Thomas Mensink, Pascal Mettes, Ran Tao, Dennis C. Koelma, Arnold W. M. Smeulders:
MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. TRECVID 2014 - 2013
- [c28]Ivo Everts, Jan C. van Gemert, Theo Gevers:
Evaluation of Color STIPs for Human Action Recognition. CVPR 2013: 2850-2857 - [c27]H. Emrah Tasli, Jan C. van Gemert, Theo Gevers:
Spot the differences: from a photograph burst to the single best picture. ACM Multimedia 2013: 729-732 - [c26]Sezer Karaoglu, Jan C. van Gemert, Theo Gevers:
Con-text: text detection using background connectivity for fine-grained object classification. ACM Multimedia 2013: 757-760 - [c25]Morris Franken, Jan C. van Gemert:
Automatic Egyptian hieroglyph recognition by retrieving images as texts. ACM Multimedia 2013: 765-768 - 2012
- [c24]Ivo Everts, Jan C. van Gemert, Theo Gevers:
Per-patch Descriptor Selection Using Surface and Scene Properties. ECCV (6) 2012: 172-186 - [c23]Sezer Karaoglu, Jan C. van Gemert, Theo Gevers:
Object Reading: Text Recognition for Object Recognition. ECCV Workshops (3) 2012: 456-465 - 2011
- [c22]Malgorzata Migut, Jan C. van Gemert, Marcel Worring:
Interactive decision making using dissimilarity to visually represented prototypes. IEEE VAST 2011: 141-149 - [c21]Jan C. van Gemert:
Exploiting photographic style for category-level image classification by generalizing the spatial pyramid. ICMR 2011: 14 - 2008
- [c20]Jan C. van Gemert, Jan-Mark Geusebroek, Cor J. Veenman, Arnold W. M. Smeulders:
Kernel Codebooks for Scene Categorization. ECCV (3) 2008: 696-709 - [c19]Victoria Yanulevskaya, Jan C. van Gemert, Katharina Roth, Ann-Katrin Herbold, Nicu Sebe, Jan-Mark Geusebroek:
Emotional valence categorization using holistic image features. ICIP 2008: 101-104 - [c18]Duy-Dinh Le, Xiaomeng Wu, Shin'ichi Satoh, Sheetal Rajgure, Jan C. van Gemert:
National Institute of Informatics, Japan at TRECVID 2008. TRECVID 2008 - [c17]Cees G. M. Snoek, Koen E. A. van de Sande, Ork de Rooij, Bouke Huurnink, Jan C. van Gemert, Jasper R. R. Uijlings, Jiyin He, Xirong Li, Ivo Everts, Vladimir Nedovic, M. van Liempt, Richard van Balen, Maarten de Rijke, Jan-Mark Geusebroek, Theo Gevers, Marcel Worring, Arnold W. M. Smeulders, Dennis C. Koelma, Fei Yan, Muhammad Atif Tahir, Krystian Mikolajczyk, Josef Kittler:
The MediaMill TRECVID 2008 Semantic Video Search Engine. TRECVID 2008 - 2007
- [c16]Cees G. M. Snoek, Ivo Everts, Jan C. van Gemert, Jan-Mark Geusebroek, Bouke Huurnink, Dennis C. Koelma, M. van Liempt, Ork de Rooij, Koen E. A. van de Sande, Arnold W. M. Smeulders, Jasper R. R. Uijlings, Marcel Worring:
The MediaMill TRECVID 2007 Semantic Video Search Engine. TRECVID 2007 - 2006
- [c15]Jan C. van Gemert, Jan-Mark Geusebroek, Cor J. Veenman, Cees G. M. Snoek, Arnold W. M. Smeulders:
Robust Scene Categorization by Learning Image Statistics in Context. CVPR Workshops 2006: 105 - [c14]Cees Snoek, Marcel Worring, Jan C. van Gemert, Jan-Mark Geusebroek, Arnold W. M. Smeulders:
The challenge problem for automated detection of 101 semantic concepts in multimedia. ACM Multimedia 2006: 421-430 - [c13]Jan C. van Gemert, Cees Snoek, Cor J. Veenman, Arnold W. M. Smeulders:
The influence of cross-validation on video classification performance. ACM Multimedia 2006: 695-698 - [c12]Marcel Worring, Cees G. M. Snoek, Bouke Huurnink, Jan C. van Gemert, Dennis C. Koelma, Ork de Rooij:
The mediamill large.lexicon concept suggestion engine. ACM Multimedia 2006: 785-786 - [c11]Cees G. M. Snoek, Marcel Worring, Bouke Huurnink, Jan C. van Gemert, Koen E. A. van de Sande, Dennis C. Koelma, Ork de Rooij:
MediaMill: Video Search using a Thesaurus of 500 Machine Learned Concepts. SAMT (Posters and Demos) 2006 - [c10]Cees G. M. Snoek, Jan C. van Gemert, Theo Gevers, Bouke Huurnink, Dennis C. Koelma, M. van Liempt, Ork de Rooij, Koen E. A. van de Sande, Frank J. Seinstra, Arnold W. M. Smeulders, Andrew H. C. Thean, Cor J. Veenman, Marcel Worring:
The MediaMill TRECVID 2006 Semantic Video Search Engine. TRECVID 2006 - 2005
- [c9]Cees Snoek, Marcel Worring, Jan C. van Gemert, Jan-Mark Geusebroek, Dennis C. Koelma, Giang P. Nguyen, Ork de Rooij, Frank J. Seinstra:
MediaMill: exploring news video archives based on learned semantics. ACM Multimedia 2005: 225-226 - [c8]Cees G. M. Snoek, Jan C. van Gemert, Jan-Mark Geusebroek, Bouke Huurnink, Dennis C. Koelma, Giang P. Nguyen, Ork de Rooij, Frank J. Seinstra, Arnold W. M. Smeulders, Cor J. Veenman, Marcel Worring:
The MediaMill TRECVID 2005 Semantic Video Search Engine (Draft Version). TRECVID 2005 - [c7]Thijs Westerveld, Jan C. van Gemert, Roberto Cornacchia, Djoerd Hiemstra, Arjen P. de Vries:
An Integrated Approach to Text and Image Retrieval- The Lowlands Team at Trecvid 2005. TRECVID 2005 - 2004
- [c6]Marcel Worring, Giang P. Nguyen, Laura Hollink, Jan C. van Gemert, Dennis C. Koelma:
Accessing video archives using interactive search. ICME 2004: 297-300 - [c5]Peter Wolf, Joseph Woelfel, Jan C. van Gemert, Bhiksha Raj, David Wong:
Spokenquery: an alternate approach to chosing items with speech. INTERSPEECH 2004: 221-224 - [c4]Vijay Divi, Clifton Forlines, Jan C. van Gemert, Bhiksha Raj, Bent Schmidt-Nielsen, Kent Wittenburg, Joseph Woelfel, Fang-Fang Zhang:
A Speech-in List-out Approach to Spoken User Interfaces. HLT-NAACL (Short Papers) 2004 - 2003
- [c3]Marcel Worring, Giang P. Nguyen, Laura Hollink, Jan van Gemert, Dennis C. Koelma:
Interactive Search Using Indexing, Filtering, Browsing and Ranking. TRECVID 2003 - 2002
- [c2]Jan-Mark Geusebroek, Minh Anh Hoang, Jan C. van Gemert, Marcel Worring:
Genre-Based Search through Biomedical Images. ICPR (1) 2002: 271- - [c1]Marcel Worring, Andrew D. Bagdanov, Jan C. van Gemert, Jan-Mark Geusebroek, Hoang Minh, Guus Schreiber, Cees Snoek, Jeroen Vendrig, Jan Wielemaker, Arnold W. M. Smeulders:
Interactive Indexing and Retrieval of Multimedia Content. SOFSEM 2002: 135-148
Informal and Other Publications
- 2024
- [i85]Sven de Witte, Ombretta Strafforello, Jan van Gemert:
Do Object Detection Localization Errors Affect Human Performance and Trust? CoRR abs/2401.17821 (2024) - [i84]Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert:
Deep Continuous Networks. CoRR abs/2402.01557 (2024) - 2023
- [i83]Marian Bittner, Wei-Tse Yang, Xucong Zhang, Ajay Seth, Jan van Gemert, Frans C. T. van der Helm:
Towards Single Camera Human 3D-Kinematics. CoRR abs/2301.05435 (2023) - [i82]Joris Quist, Yunqiang Li, Jan van Gemert:
Understanding weight-magnitude hyperparameters in training binary networks. CoRR abs/2303.02452 (2023) - [i81]Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert:
What Affects Learned Equivariance in Deep Image Recognition Models? CoRR abs/2304.02628 (2023) - [i80]Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Rios, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert:
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2305.19688 (2023) - [i79]Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef:
Differentiable Transportation Pruning. CoRR abs/2307.08483 (2023) - [i78]Xin Liu, Fatemeh Karimi Nejadasl, Jan C. van Gemert, Olaf Booij, Silvia L. Pintea:
Objects do not disappear: Video object detection by single-frame object location anticipation. CoRR abs/2308.04770 (2023) - [i77]Frans de Boer, Jan C. van Gemert, Jouke Dijkstra, Silvia L. Pintea:
Is there progress in activity progress prediction? CoRR abs/2308.05533 (2023) - [i76]Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert:
A step towards understanding why classification helps regression. CoRR abs/2308.10603 (2023) - [i75]Ombretta Strafforello, Klamer Schutte, Jan van Gemert:
Are current long-term video understanding datasets long-term? CoRR abs/2308.11244 (2023) - [i74]Ombretta Strafforello, Xin Liu, Klamer Schutte, Jan van Gemert:
Video BagNet: short temporal receptive fields increase robustness in long-term action recognition. CoRR abs/2308.11249 (2023) - [i73]Tom Edixhoven, Attila Lengyel, Jan van Gemert:
Using and Abusing Equivariance. CoRR abs/2308.11316 (2023) - [i72]Jan Warchocki, Teodor Oprescu, Yunhan Wang, Alexandru Damacus, Paul Misterka, Robert-Jan Bruintjes, Attila Lengyel, Ombretta Strafforello, Jan van Gemert:
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models. CoRR abs/2308.13082 (2023) - [i71]Casper van Engelenburg, Seyran Khademi, Jan van Gemert:
SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity. CoRR abs/2309.04357 (2023) - [i70]Alessandro Duico, Ombretta Strafforello, Jan van Gemert:
Can we predict the Most Replayed data of video streaming platforms? CoRR abs/2309.06102 (2023) - [i69]Athanasios Masouris, Jan van Gemert:
End-to-End Chess Recognition. CoRR abs/2310.04086 (2023) - [i68]Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert:
Color Equivariant Convolutional Networks. CoRR abs/2310.19368 (2023) - [i67]Xinqi Li, Yi Zhang, Yidong Zhao, Jan van Gemert, Qian Tao:
Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI. CoRR abs/2311.01916 (2023) - 2022
- [i66]Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista-Rios, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert:
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2201.08625 (2022) - [i65]Yancong Lin, Ruben Wiersma, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, Jan C. van Gemert:
Deep vanishing point detection: Geometric priors make dataset variations vanish. CoRR abs/2203.08586 (2022) - [i64]Burak Yildiz, Seyran Khademi, Ronald Maria Siebes, Jan van Gemert:
AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift. CoRR abs/2203.16291 (2022) - [i63]Osman Semih Kayhan, Jan C. van Gemert:
Evaluating Context for Deep Object Detectors. CoRR abs/2205.02887 (2022) - [i62]Amogh Gudi, Fritjof Büttner, Jan van Gemert:
Proximally Sensitive Error for Anomaly Detection and Feature Learning. CoRR abs/2206.00506 (2022) - [i61]Ombretta Strafforello, Vanathi Rajasekart, Osman Semih Kayhan, Oana Inel, Jan van Gemert:
Humans disagree with the IoU for measuring object detector localization error. CoRR abs/2207.14221 (2022) - [i60]Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Puck Alkemade, Thijs Eijsvogels, Jan van Gemert:
Heart rate estimation in intense exercise videos. CoRR abs/2208.02509 (2022) - [i59]Ruben Sangers, Jan van Gemert, Sander van Cranenburgh:
Explainability of Deep Learning models for Urban Space perception. CoRR abs/2208.13555 (2022) - [i58]Sieger Falkena, Hadi Jamali Rad, Jan van Gemert:
LAB: Learnable Activation Binarizer for Binary Neural Networks. CoRR abs/2210.13858 (2022) - [i57]Liang Zeng, Attila Lengyel, Nergis Tömen, Jan van Gemert:
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation. CoRR abs/2211.14074 (2022) - 2021
- [i56]Nergis Tomen, Jan van Gemert:
Spectral Leakage and Rethinking the Kernel Size in CNNs. CoRR abs/2101.10143 (2021) - [i55]Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Rios, Osman Semih Kayhan, Jan van Gemert:
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2103.03768 (2021) - [i54]Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert:
No frame left behind: Full Video Action Recognition. CoRR abs/2103.15395 (2021) - [i53]Pranjal Singh Rajput, Yeshwanth Napolean, Jan van Gemert:
Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression. CoRR abs/2104.02749 (2021) - [i52]Osman Semih Kayhan, Bart Vredebregt, Jan C. van Gemert:
Hallucination In Object Detection - A Study In Visual Part Verification. CoRR abs/2106.02523 (2021) - [i51]Silvia L. Pintea, Nergis Tomen, Stanley F. Goes, Marco Loog, Jan C. van Gemert:
Resolution learning in deep convolutional networks using scale-space theory. CoRR abs/2106.03412 (2021) - [i50]Attila Lengyel, Jan C. van Gemert:
Exploiting Learned Symmetries in Group Equivariant Convolutions. CoRR abs/2106.04914 (2021) - [i49]Yancong Lin, Silvia-Laura Pintea, Jan van Gemert:
Semi-supervised lane detection with Deep Hough Transform. CoRR abs/2106.05094 (2021) - [i48]Yapkan Choi, Yeshwanth Napolean, Jan C. van Gemert:
The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification. CoRR abs/2106.11280 (2021) - [i47]Attila Lengyel, Sourav Garg, Michael Milford, Jan C. van Gemert:
Zero-Shot Domain Adaptation with a Physics Prior. CoRR abs/2108.05137 (2021) - [i46]Andrea Alfieri, Yancong Lin, Jan C. van Gemert:
Investigating transformers in the decomposition of polygonal shapes as point collections. CoRR abs/2108.07533 (2021) - [i45]David W. Romero, Robert-Jan Bruintjes, Jakub M. Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan C. van Gemert:
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes. CoRR abs/2110.08059 (2021) - [i44]Tuhin Das, Robert-Jan Bruintjes, Attila Lengyel, Jan van Gemert, Sara Beery:
Domain Adaptation for Rare Classes Augmented with Synthetic Samples. CoRR abs/2110.12216 (2021) - [i43]Nikhil Saldanha, Silvia L. Pintea, Jan C. van Gemert, Nergis Tomen:
Frequency learning for structured CNN filters with Gaussian fractional derivatives. CoRR abs/2111.06660 (2021) - [i42]Yunqiang Li, Silvia L. Pintea, Jan C. van Gemert:
Equal Bits: Enforcing Equally Distributed Binary Network Weights. CoRR abs/2112.03406 (2021) - [i41]Yancong Lin, Silvia-Laura Pintea, Jan van Gemert:
Data-efficient learning for 3D mirror symmetry detection. CoRR abs/2112.12579 (2021) - 2020
- [i40]Osman Semih Kayhan, Jan C. van Gemert:
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location. CoRR abs/2003.07064 (2020) - [i39]Marcos Baptista-Ríos, Roberto Javier López-Sastre, Fabian Caba Heilbron, Jan van Gemert, Francisco Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón:
The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos. CoRR abs/2003.09970 (2020) - [i38]Marcos Baptista-Ríos, Roberto Javier López-Sastre, Fabian Caba Heilbron, Jan van Gemert, Francisco Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón:
Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol. CoRR abs/2003.12041 (2020) - [i37]Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert:
Top-Down Networks: A coarse-to-fine reimagination of CNNs. CoRR abs/2004.07629 (2020) - [i36]Yancong Lin, Silvia L. Pintea, Jan C. van Gemert:
Deep Hough-Transform Line Priors. CoRR abs/2007.09493 (2020) - [i35]David Cian, Jan van Gemert, Attila Lengyel:
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task. CoRR abs/2008.01584 (2020) - [i34]Kanav Anand, Ziqi Wang, Marco Loog, Jan van Gemert:
Black Magic in Deep Learning: How Human Skill Impacts Network Training. CoRR abs/2008.05981 (2020) - [i33]Amogh Gudi, Xin Li, Jan van Gemert:
Efficiency in Real-time Webcam Gaze Tracking. CoRR abs/2009.01270 (2020) - [i32]Xiangwei Shi, Yunqiang Li, Xin Liu, Jan van Gemert:
WeightAlign: Normalizing Activations by Weight Alignment. CoRR abs/2010.07160 (2020) - [i31]Ziqi Wang, Marco Loog, Jan van Gemert:
Respecting Domain Relations: Hypothesis Invariance for Domain Generalization. CoRR abs/2010.07591 (2020) - [i30]Xiangwei Shi, Seyran Khademi, Yunqiang Li, Jan van Gemert:
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels. CoRR abs/2010.08644 (2020) - [i29]Rafal Pytel, Osman Semih Kayhan, Jan C. van Gemert:
Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions. CoRR abs/2010.10451 (2020) - [i28]Soroosh Poorgholi, Osman Semih Kayhan, Jan C. van Gemert:
t-EVA: Time-Efficient t-SNE Video Annotation. CoRR abs/2011.13202 (2020) - [i27]Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert:
ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility. CoRR abs/2012.01172 (2020) - [i26]Yunqiang Li, Jan van Gemert:
Deep Unsupervised Image Hashing by Maximizing Bit Entropy. CoRR abs/2012.12334 (2020) - [i25]Amogh Gudi, Marian Bittner, Jan van Gemert:
Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation. CoRR abs/2012.15846 (2020) - 2019
- [i24]Michele Claus, Jan van Gemert:
ViDeNN: Deep Blind Video Denoising. CoRR abs/1904.10898 (2019) - [i23]Xiangwei Shi, Seyran Khademi, Jan C. van Gemert:
Deep Visual City Recognition Visualization. CoRR abs/1905.01932 (2019) - [i22]Yunqiang Li, Wenjie Pei, Yufei Zha, Jan van Gemert:
Push for Quantization: Deep Fisher Hashing. CoRR abs/1909.00206 (2019) - [i21]Amogh Gudi, Marian Bittner, Roelof Lochmans, Jan C. van Gemert:
Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability. CoRR abs/1909.01206 (2019) - [i20]Yeshwanth Napolean, Priadi Teguh Wibowo, Jan C. van Gemert:
Running Event Visualization using Videos from Multiple Cameras. CoRR abs/1909.02835 (2019) - [i19]Xin Liu, Seyran Khademi, Jan C. van Gemert:
Cross Domain Image Matching in Presence of Outliers. CoRR abs/1909.03552 (2019) - [i18]Ziqi Wang, Jiahui Li, Seyran Khademi, Jan van Gemert:
Attention-Aware Age-Agnostic Visual Place Recognition. CoRR abs/1909.05163 (2019) - 2018
- [i17]Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders:
Deja Vu: Motion Prediction in Static Images. CoRR abs/1803.06951 (2018) - [i16]Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders:
Asymmetric kernel in Gaussian Processes for learning target variance. CoRR abs/1803.06952 (2018) - [i15]Silvia L. Pintea, Pascal S. M. Mettes, Jan C. van Gemert, Arnold W. M. Smeulders:
Featureless: Bypassing feature extraction in action categorization. CoRR abs/1803.06962 (2018) - [i14]Silvia L. Pintea, Yue Liu, Jan C. van Gemert:
Recurrent knowledge distillation. CoRR abs/1805.07170 (2018) - [i13]Silvia L. Pintea, Jian Zheng, Xilin Li, Paulina J. M. Bank, Jacobus J. van Hilten, Jan C. van Gemert:
Hand-tremor frequency estimation in videos. CoRR abs/1809.03218 (2018) - [i12]Omar Hommos, Silvia L. Pintea, Pascal S. M. Mettes, Jan C. van Gemert:
Using phase instead of optical flow for action recognition. CoRR abs/1809.03258 (2018) - 2017
- [i11]Vedran Vukotic, Silvia-Laura Pintea, Christian Raymond, Guillaume Gravier, Jan C. van Gemert:
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. CoRR abs/1702.04125 (2017) - [i10]Miriam W. Huijser, Jan C. van Gemert:
Active Decision Boundary Annotation with Deep Generative Models. CoRR abs/1703.06971 (2017) - [i9]Yichao Zhang, Silvia L. Pintea, Jan C. van Gemert:
Video Acceleration Magnification. CoRR abs/1704.04186 (2017) - [i8]Amogh Gudi, Nicolai van Rosmalen, Marco Loog, Jan C. van Gemert:
Object-Extent Pooling for Weakly Supervised Single-Shot Localization. CoRR abs/1707.06180 (2017) - 2016
- [i7]Pascal Mettes, Jan C. van Gemert, Cees G. M. Snoek:
Spot On: Action Localization from Pointly-Supervised Proposals. CoRR abs/1604.07602 (2016) - [i6]Jörn-Henrik Jacobsen, Jan C. van Gemert, Zhongyu Lou, Arnold W. M. Smeulders:
Structured Receptive Fields in CNNs. CoRR abs/1605.02971 (2016) - [i5]Mihir Jain, Jan C. van Gemert, Hervé Jégou, Patrick Bouthemy, Cees G. M. Snoek:
Tubelets: Unsupervised action proposals from spatiotemporal super-voxels. CoRR abs/1607.02003 (2016) - [i4]Silvia L. Pintea, Jan C. van Gemert:
Making a Case for Learning Motion Representations with Phase. CoRR abs/1609.01693 (2016) - [i3]Svetlana Kordumova, Jan C. van Gemert, Cees G. M. Snoek, Arnold W. M. Smeulders:
Searching Scenes by Abstracting Things. CoRR abs/1610.01801 (2016) - 2015
- [i2]Pascal Mettes, Jan C. van Gemert, Cees G. M. Snoek:
No Spare Parts: Sharing Part Detectors for Image Categorization. CoRR abs/1510.04908 (2015) - [i1]Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek:
Objects2action: Classifying and localizing actions without any video example. CoRR abs/1510.06939 (2015)
Coauthor Index
Pascal Mettes
aka: Pascal S. M. Mettes
aka: Pascal S. M. Mettes
Silvia L. Pintea
aka: Silvia-Laura Pintea
aka: Silvia-Laura Pintea
Cees Snoek
aka: Cees G. M. Snoek
aka: Cees G. M. Snoek
Nergis Tömen
aka: Nergis Tomen
aka: Nergis Tomen
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