Mark Basting, Robert-Jan Bruintjes, Thaddaus Wiedemer, Matthias Kummerer, Matthias Bethge, Jan van Gemert.   Scale Learning in Scale-Equivariant Convolutional networks in International Conference on Computer Vision Theory and Applications (VISAPP), 2024. [pdf].

Athanasios Masouris and Jan van Gemert.   End-to-end-chess-recognition in International Conference on Computer Vision Theory and Applications (VISAPP), 2024. [pdf].

Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan C van Gemert.   Color Equivariant Convolutional Networks in Neural Information Processing Systems (NeurIPS), 2023. [pdf].

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 in International Conference on Computer Vision (ICCV), 2023. [pdf].

Silvia L Pintea, Yancong Lin, Jouke Dijkstra, Jan C van Gemert.   A step towards understanding why classification helps regression in International Conference on Computer Vision (ICCV), 2023. [pdf].

Yunqiang Li, Jan C van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef.   Differentiable Transportation Pruning in International Conference on Computer Vision (ICCV), 2023. [pdf].

Ombretta Strafforello, Xin Liu, Klamer Schutte, Jan van Gemert.   Video BagNet: short temporal receptive fields increase robustness in long-term action recognition in International Conference on Computer Vision workshop (ICCVw), 2023. [pdf].

Ombretta Strafforello, Klamer Schutte, Jan van Gemert.   Are current long-term video understanding datasets long-term? in International Conference on Computer Vision workshop (ICCVw), 2023. [pdf].

Frans de Boer, Jan C van Gemert, Jouke Dijkstra, Silvia L Pintea.   Is there progress in activity progress prediction? in International Conference on Computer Vision workshop (ICCVw), 2023. [pdf].

Tom Edixhoven, Attila Lengyel, Jan C van Gemert.   Using and abusing equivariance in International Conference on Computer Vision workshop (ICCVw), 2023. [pdf].

Jan Warchocki, Teodor Oprescu, Yunhan Wang, Alexandru Dămăcuş, Paul Misterka, Robert-Jan Bruintjes, Attila Lengyel, Ombretta Strafforello, Jan van Gemert.   Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models in International Conference on Computer Vision workshop (ICCVw), 2023. [pdf].

Casper CJ van Engelenburg, Seyran Khademi, Jan C van Gemert.   SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity in International Conference on Computer Vision workshop (ICCVw), 2023. [pdf].

Cees Jol, Junhan Wen, Jan van Gemert.   Non-Destructive Infield Quality Estimation of Strawberries Using Deep Architectures in International Conference on Computer Vision workshop (ICCVw), 2023. [pdf].

Annabel M. Ruiter, Ziqi Wang, Zhao Yin, Willemijn C. Naber, Jerrel Simons, Jurre T. Blom, Jan C. van Gemert, Jan J. G. M. Verschuuren, Martijn R. Tannemaat.   Assessing facial weakness in myasthenia gravis with facial recognition software and deep learning in Annals of Clinical and Translational Neurology https://doi.org/10.1002/acn3.51823, 2023. [pdf].

Joris Quist, Yunqiang Li, Jan van Gemert.   Understanding weight-magnitude hyperparameters in training binary networks in International Conference on Learning Representations (ICLR), 2023. [pdf].

Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert.   What Affects Learned Equivariance in Deep Image Recognition Models? in CVPR workshop L3D-IVU, 2023. [pdf].

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 in Medical Imaging 2023: Image Processing, 2023. [pdf].

Marian Bittner, Wei-Tse Yang, Xucong Zhang, Ajay Seth, Jan van Gemert, Frans van der Helm.   Towards single camera human 3D kinematics in Sensors, 23(1), 341; https://doi.org/10.3390/s23010341, 2023. [pdf].

Sieger Falkena, Hadi Jamali-Rad, Jan van Gemert.   LAB: Learnable Activation Binarizer for Binary Neural Networks in Winter Conference on Applications of Computer Vision (WACV), 2023. [pdf].

Yancong Lin, Silvia L. Pintea, Jan van Gemert.   NeRD++: Improved 3D-mirror symmetry learning from a single image in British Machine Vision Conference (BMVC), 2022. [pdf].

Liang Zeng, Attila Lengyel, Nergis Tomen, Jan van Gemert.   Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation in British Machine Vision Conference (BMVC), 2022. [pdf, Paper award].

Ombretta Strafforello, Vanathi Rajasekart, Osman S. Kayhan, Oana Inel, and Jan van Gemert.   Humans disagree with the IoU for measuring object detector localization error in International Conference on Image Processing (ICIP), 2022. [pdf]

Y. Napolean, A. Marwade, N. Tomen, P. Alkemade, T. Eijsvogels, and Jan van Gemert.   Heart rate estimation in intense exercise videos in International Conference on Image Processing (ICIP), 2022. [pdf]

Burak Yildiz, Seyran Khademi, Ronald Maria Siebes, and Jan van Gemert.   AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift In International Conference on Pattern Recognition (ICPR), 2022. [pdf].

Yancong Lin, Ruben Wiersma, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, and Jan C. van Gemert.   Deep vanishing point detection: Geometric priors make dataset variations vanish in Computer Vision and Pattern Recognition (CVPR), 2022. [pdf]

Yunqiang Li, Silvia L. Pintea, and Jan van Gemert.   Equal Bits: Enforcing Equally Distributed Binary Network Weights in AAAI Conference on Artificial Intelligence (AAAI), 2022. [pdf]

Nikhil Saldanha, Silvia L. Pintea, Jan C. van Gemert, Nergis Tomen.   Frequency learning for structured CNN filters with Gaussian fractional derivatives in British Machine Vision Conference (BMVC), 2021. [pdf]

Attila Lengyel, Sourav Garg, Michael Milford, and Jan van Gemert.   Zero-Shot Day-Night Domain Adaptation With a Physics Prior in International Conference on Computer Vision (ICCV), (oral presentation) 2021. [pdf]

Nergis Tomen and Jan van Gemert.   Spectral Leakage and Rethinking the Kernel Size in CNNs in International Conference on Computer Vision (ICCV), 2021. [pdf]

Andrea Alfieri, Yancong Lin, and Jan van Gemert.   Investigating transformers in the decomposition of polygonal shapes as point collections in ICCV Workshop on Deep Learning for Geometric Computing (DLGC), 2021. [pdf, best paper award ]

Zhao Yin, Victor Jacobus Geraedts, Ziqi Wang, Maria Fiorella Contarino, Hamdi Dibeklioglu, and Jan van Gemert.   Assessment of Parkinson's Disease Severity from Videos using Deep Architecture in IEEE Journal of Biomedical and Health Informatics), 2021. [pdf]

Noor Ul Sehr Zia, Osman Semih Kayhan, and Jan van Gemert.   PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations in International Conference on Image Processing (ICIP), 2021. [pdf]

Yapkan Choi, Yeshwanth Napolean, and Jan van Gemert.   The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification in International Conference on Image Processing (ICIP), 2021. [pdf]

Attila Lengyel and Jan van Gemert.   Exploiting Learned Symmetries in Group Equivariant Convolutions in International Conference on Image Processing (ICIP), 2021. [pdf]

Yancong Lin, Silvia-Laura Pintea, and Jan van Gemert.   Semi-supervised lane detection with Deep Hough Transform in International Conference on Image Processing (ICIP), 2021. [pdf]

Osman Semih Kayhan, Bart Vredebregt, and Jan van Gemert.   Hallucination In Object Detection -- A Study In Visual Part Verification in International Conference on Image Processing (ICIP), 2021. [pdf, DelftBikes data set]

Nergis Tomen, Silvia Laura Pintea, and Jan van Gemert.   Deep Continuous Networks in International Conference on Machine Learning (ICML), 2021. [pdf]

Silvia L Pintea, Nergis Tomen, Stanley F Goes, Marco Loog, and Jan van Gemert.   Resolution learning in deep convolutional networks using scale-space theory in Transactions on Image Processing (TIP), 2021. [pdf]

Yunqiang Li and Jan van Gemert.   Deep Unsupervised Image Hashing by Maximizing Bit Entropy in AAAI Conference on Artificial Intelligence (AAAI), 2021. [pdf]

Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, and Jan van Gemert.   No frame left behind: Full Video Action Recognition in Computer Vision and Pattern Recognition (CVPR), 2021. [pdf]

Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt and Jan van Gemert.   ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility In ICPR Workshop on Reproducible Research in Pattern Recognition, 2020. [pdf, Web, Code].

Amogh Gudi, Marian Bittner, Jan van Gemert.   Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation In MDPI Applied Sciences journal special issue Video Analysis for Health Monitoring, 2020. [pdf].

Soroosh Poorgholi, Osman Semih Kayhan, and Jan C. van Gemert.   t-EVA: Time-Efficient t-SNE Video Annotation In ICPR workshop on Deep Learning for Human-Centric Activity Understanding, 2020. [pdf].

Ziqi Wang, Marco Loog, Jan van Gemert.   Respecting Domain Relations: Hypothesis Invariance for Domain Generalization In International Conference on Pattern Recognition (ICPR), 2020. [pdf].

Xiangwei Shi, Yunqiang Li, Xin Liu, Jan van Gemert.   WeightAlign: Normalizing Activations by Weight Alignment In International Conference on Pattern Recognition (ICPR), 2020. [pdf].

Xiangwei Shi, Seyran Khademi, Yunqiang Li, Jan van Gemert.   Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels In International Conference on Pattern Recognition (ICPR), 2020. [pdf, code].

Rafal Pytel, Osman Semih Kayhan, Jan van Gemert.   Tilting at windmills: Data augmentation for deeppose estimation does not help with occlusions In International Conference on Pattern Recognition (ICPR), 2020. [pdf].

Kanav Anand, Ziqi Wang, Marco Loog, Jan C. van Gemert.   Black Magic in Deep Learning: How Human Skill Impacts Network Training in British Machine Vision Conference (BMVC), 2020. [pdf]

Yancong Lin, Silvia L. Pintea, Jan C. van Gemert.   Deep Hough-Transform Line Priors in European Conference on Computer Vision (ECCV), 2020. [pdf]

Amogh Gudi, Xin Li, and Jan van Gemert.   Efficiency in Real-time Webcam Gaze Tracking in European Conference on Computer Vision OpenEyes workshop (ECCVw), 2020. [pdf]

Reza Serajeh, Seyran Khademi, Amir Mousavinia, Jan C. Van Gemert.   On Sensitive Minima in Margin-based Deep Distance Learning in IEEE Access, Volume 8, 2020. [ pdf | link]

Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert.   Top-Down Networks: A coarse-to-fine reimagination of CNNs in Computer Vision and Pattern Recognition Deep Vision workshop (CVPRw), 2020. [pdf]

Osman Semih Kayhan and Jan van Gemert.   On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location in Computer Vision and Pattern Recognition (CVPR), 2020. [pdf, code]

Marcos Baptista-Rios, Roberto J. Lopez-Sastre, Fabian Caba Heilbron, Jan van Gemert, F. Javier Acevedo-Rodriguez, Saturnino Maldonado-Bascon.   The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behavior Recognition in Untrimmed Videos in ICCV workshop on Human Behavior Understanding, 2019. [pdf]

Xin Liu, Seyran Khademi, Jan van Gemert.   Cross Domain Image Matching in Presence of Outliers in ICCV workshop on Transferring and Adapting Source Knowledge in Computer Vision, 2019. [pdf]

Amogh Gudi, Marian Bittner, Roelof Lochmans, Jan van Gemert.   Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability in ICCV workshop on Computer Vision for Physiological Measurement, 2019. [pdf]

Ziqi Wang, Jiahui Li, Seyran Khademi, Jan van Gemert.   Attention-Aware Age-Agnostic Visual Place Recognition in ICCV workshop on E-Heritage, 2019. [pdf]

Yeshwanth Napoleon, Priadi Wibowo, Jan van Gemert.   Running Event Visualization using Videos from Multiple Cameras in ACM MM workshop on Computer Vision and Sports, 2019. [pdf]

Yunqiang Li, Wenjie Pei, Yufei Zha, Jan van Gemert.   Push for Quantization: Deep Fisher Hashing in Britisch Machine Vision Conference (BMVC), 2019. [pdf]

Xiangwei Shi, Seyran Khademi, Jan van Gemert.   Deep Visual City Recognition Visualization in CVPR workshop on Explainable AI, 2019. [pdf]

M. Claus, JC van Gemert.   ViDeNN: Deep Blind Video Denoising in CVPR workshop on NTIRE: New Trends in Image Restoration and Enhancement, 2019. [pdf, code]

T. Stahl, SL Pintea, JC van Gemert.   Divide and Count: Generic Object Counting by Image Divisions in IEEE Transactions on Image Processing (TIP), 2018. [pdf]

SL Pintea, Y Liu, JC van Gemert.   Recurrent knowledge distillation in International Conference on Image Processing (ICIP), 2018. [pdf]

O Hommos, SL Pintea, PSM Mettes, JC van Gemert.   Using phase instead of optical flow for action recognition in ECCV workshop on What is optical flow for?, 2018. [pdf]

SL Pintea, J Zheng, X Li, PJM Bank, JJ van Hilten, JC van Gemert.   Hand-tremor frequency estimation in videos in ECCV workshop on Observing and understanding hands in action, 2018. [pdf, poster, best paper award]

SL Pintea, JC van Gemert, AWM Smeulders.   Asymmetric kernel in Gaussian Processes for learning target variance in Pattern Recognition Letters (PRL), 2018. [pdf]

R Sulzer, P Nourian, M Palmieri, JC van Gemert.   Shape based classification of seismic building structural types in International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2018.

M.W. Huijser and J.C. van Gemert.   Active Decision Boundary Annotation with Deep Generative Models in International Conference on Computer Vision (ICCV), 2017. [pdf, code]

A. Gudi, N. van Rosmalen, M. Loog and J.C. van Gemert.   Object Extent Pooling for Weakly Supervised Single-Shot Localization in Britisch Machine Vision Conference (BMVC), 2017. [pdf]

N. Pezzotti, T. Hollt, J.C. van Gemert, B. P.F. Lelieveldt, E. Eisemann and A. Vilanova.   DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks in IEEE Transactions on Visualization and Computer Graphics (Proceedings of VAST), Volume 24, 2017. [pdf]

V. Vukotic, S.L. Pintea, C. Raymond, G. Gravier and J.C. van Gemert.   One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network in International Conference on Image Analysis and Processing (ICIAP), 2017. [pdf]

Y. Zhang, S.L. Pintea and J.C. van Gemert.   Video Acceleration Magnification in Computer Vision and Pattern Recognition (CVPR), 2017. [pdf | Project]

A. Bazzica, J.C. van Gemert, C.C.S. Liem and A. Hanjalic.   Vision-based Detection of Acoustic Timed Events: a Case Study on Clarinet Note Onsets in International Workshop on Deep Learning for Music in conjunction with the 2017 International Joint Conference on Neural Networks (IJCNN), 2017. [pdf, video]

M. Jain, J. C. van Gemert, P. Bouthemy, H. Jegou, C. Snoek.   Tubelets: Unsupervised action proposals from spatiotemporal super-voxels. In International Journal of Computer Vision (IJCV), 2017. (pdf)

S. Karaoglu, R. Tao, J.C. van Gemert and Th. Gevers.   Con-Text: Text Detection for Fine-grained Object Classification. In IEEE Transactions or Image Processing (TIP), 2017. To appear.

S.L. Pintea and J.C. van Gemert.  Making a Case for Learning Motion Representations with Phase. in European Conference on Computer Vision (ECCV) workshop, 2016. [pdf]

J.F.P. Kooij and J.C. van Gemert.   Depth-Aware Motion Magnification in European Conference on Computer Vision (ECCV), 2016. [pdf | Supplemental]

P.S. Mettes, J.C. van Gemert, C.G.M. Snoek.  Spot On: Action Localization from Pointly-Supervised Proposals. in European Conference on Computer Vision (ECCV), 2016. [pdf]. Hollywood2Tubes dataset.

P.S. Mettes, J.C. van Gemert, C.G.M. Snoek.  No Spare Parts: Sharing Part Detectors for Image Categorization. In Computer Vision and Image Understanding (CVIU), 2016. [to appear]

S.L. Pintea, P.S. Mettes, J.C. van Gemert and A.W.M. Smeulders.   Featureless: Bypassing Feature Extraction in Action Categorization In International Conference on Image Processing (ICIP), 2016. (pdf)

S.L. Pintea, S. Karaoglu, J.C. van Gemert and A.W.M. Smeulders.   Large Scale Gaussian Process for Overlap-based Object Proposal Scoring In Computer Vision and Image Understanding (CVIU), 2016. (pdf)

J.H. Jacobson, J.C. van Gemert, Z. Lou, and A.W.M. Smeulders.   Structured Receptive Fields in CNNs In Computer Vision and Pattern Recognition (CVPR), 2016. (pdf). Caffe and Theano code availabe on github.

S. Kordumova, J.C. van Gemert and C. Snoek.   Exploring the Long Tail of Social Media Tags in International Conference on Multimedia Modelling (MMM), 2016. (pdf)

M. Jain, J.C. van Gemert, T. Mensink and C. Snoek.   Objects2action: Classifying and localizing actions without any video example in International Conference on Computer Vision (ICCV), 2015. [pdf]

E. Gati, J. Schavemaker and J.C. van Gemert.   BING3D: Fast Spatio-Temporal Proposals for Action Localization in Netherlands Conference on Computer Vision (NCCV), 2015. (pdf)

J.C. van Gemert, M. Jain, E. Gati and C. Snoek.   APT: Action localization Proposals from dense Trajectories. In British Machine Vision Conference (BMVC), 2015. [.pdf | Presentation | code | precomputed tubes]

S. Karaoglu, I. Everts, J.C. van Gemert and Th. Gevers.   Per-patch metric learning for robust image matching. In International Conference on Image Processing (ICIP), 2015. [.pdf]

M. Jain, J.C. van Gemert, C. Snoek. What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions?. In Computer Vision and Pattern Recognition (CVPR), 2015. [.pdf]

P. Mettes, J.C. van Gemert, S. Cappallo, T. Mensink, C. Snoek.  Bag-of-Fragments: Selecting and encoding video fragments for event detection and recounting. In International Conference on Multimedia Retrieval (ICMR), 2015. [.pdf]

I. Everts, J. C. van Gemert, T. Mensink and Th. Gevers. Robustifying Descriptor Instability using Fisher Vectors. IEEE Trans. Image Processing, Accepted, 2014. [ .pdf | bibtex ]

I. Everts, J. C. van Gemert, and Th. Gevers. Evaluation of Spatio-Temporal Color Interest Points for Human Action Recognition. IEEE Trans. Image Processing, 23(4):1569-80, 2014. [ bibtex | .pdf]

J.C. van Gemert, C. Verschoor, P. Mettes, K. Epema, L.P. Koh, and S. Wich. Nature Conservation Drones for Automatic Localization and Counting of Animals In European Conference on Computer Vision workshop (ECCV Workshop on Computer Vision in Vehicle Technology), 2014. [.pdf | project | dataset]

S.L. Pintea, J. C. van Gemert, A. W. M. Smeulders. Dejavu: Motion Prediction in Static Images. In European Conference on Computer Vision (ECCV), 2014. [.pdf | Project]

J. C. van Gemert, J. G. M. Schavemaker, K. Bonenkamp. Automatic Statistics Extraction for Amateur Soccer Videos. In International Conference on Methods and Techniques in Behavioral Research (Measuring Behavior), 2014. [.pdf]

M. Jain, J. C. van Gemert, P. Bouthemy, H. Jegou, C. Snoek. Action Localization by Tubelets from Motion. In Computer Vision and Pattern Recognition (CVPR), 2014. [.pdf]

T. Mensink and J. C. van Gemert.  The Rijksmuseum Challenge: Museum-Centered Visual Recognition. In International Conference on Multimedia Retrieval (ICMR), 2014. [.pdf | Data]

M. Franken and J. C. van Gemert.   Automatic Egyptian Hieroglyph Recognition by Retrieving Images as Texts. In Proceedings of ACM Multimedia (ACM MM), 2013. [bibtex | .pdf | More info | dataset | Poster ]

E. Tasli, J. C. van Gemert and Th. Gevers.   Spot the Differences: From a Photograph Burst to the Single Best Picture. In Proceedings of ACM Multimedia (ACM MM), 2013. [bibtex | .pdf]

S. Karaoglu, J. C. van Gemert and Th. Gevers.   Con-Text: Text Detection Using Background Connectivity for Fine-Grained Object Classification. In Proceedings of ACM Multimedia (ACM MM), 2013. [bibtex | .pdf | dataset]

I. Everts, J. C. van Gemert and Th. Gevers.   Evaluation of Color STIPs for Human Action Recognition. In Computer Vision and Pattern Recognition (CVPR), 2013. [bibtex | poster | .pdf]

I. Everts, J. C. van Gemert and Th. Gevers.   Per-patch Descriptor Selection using Surface and Scene Properties. In European Conference on Computer Vision (ECCV), 2012. [bibtex | .pdf]

S. Karaoglu, J. C. van Gemert and Th. Gevers.   Object Reading: Text Recognition for Object Recognition. In European Conference on Computer Vision workshop on Information fusion in computer vision for concept recognition (ECCV workshop), 2012. [bibtex | .pdf]

J. C. van Gemert.  Exploiting Photographic Style for Category-Level Image Classification by Generalizing the Spatial Pyramid. In International Conference on Multimedia Retrieval (ICMR), April 2011. [bibtex | .pdf]

M. A. Migut, J. C. van Gemert and M. Worring.  Interactive decision making using dissimilarity to visually represented prototypes. In International Conference on Visual Analytics Science and Technology (VAST), 2011. [bibtex | .pdf]

J. C. van Gemert. Robust visual scene categorization in context. PhD thesis, Sept 24, 2010. [ pdf | link]

J. C. van Gemert, C. J. Veenman, A. W. M. Smeulders, and J. M. Geusebroek. Visual word ambiguity. IEEE Trans. Pattern Analysis and Machine Intelligence, Volume 32 (7), page 1271--1283, 2010. [bibtex | pdf]

J. C. van Gemert, C. G. M. Snoek, C. J. Veenman, A. W. M. Smeulders, and J. M. Geusebroek. Comparing Compact Codebooks for Visual Categorization. Computer Vision and Image Understanding, Volume 114 (4), page 1673-1687, 2010. [bibtex | .pdf]

J. C. van Gemert, C. J. Veenman, and J. M. Geusebroek. Episode-constrained cross-validation in video concept retrieval. IEEE Trans. Multimedia, 11(4):780-785, 2009. [bibtex | .pdf]

J. C. van Gemert, J. M. Geusebroek, C. J. Veenman, and A. W. M. Smeulders. Kernel codebooks for scene categorization. In European Conference on Computer Vision (ECCV), October 2008. [bibtex | poster | .pdf]

V. Yanulevskaya, J. C. van Gemert, K. Roth, A. K. Herbold, N. Sebe, and J. M. Geusebroek. Emotional valence categorization using holistic image features. In IEEE International Conference on Image Processing (ICIP). IEEE Computer Society, 2008. [bibtex | .pdf]

A. W. M. Smeulders, J. C. van Gemert, B. Huurnink, D. C. Koelma, O. de Rooij, K. E. A. van de Sande, C. G. M. Snoek, C. J. Veenman, and M. Worring. Semantic video search. In Int Conf on Image Analysis and Processing (ICIAP), Modena, Italy, September 2007. [bibtex | .pdf]

J. C. van Gemert, G. J. Burghouts, F.J. Seinstra, and J. M. Geusebroek. Color invariant object recognition using entropic graphs. International Journal of Imaging Systems and Technology, 16(5):146-153, 2006. [bibtex | .pdf]

J. C. van Gemert, C. G. M. Snoek, C. J. Veenman, and A. W. M. Smeulders. The influence of cross-validation on video classification performance. In Proceedings of ACM Multimedia (ACM MM), October 2006. [bibtex | .pdf]

C. G. M. Snoek, M. Worring, J. C. van Gemert, J. M. Geusebroek, and A. W. M. Smeulders. The challenge problem for automated detection of 101 semantic concepts in multimedia. In Proceedings of ACM Multimedia (ACM MM), October 2006. [bibtex | .pdf]

M. Worring, C. G. M. Snoek, B. Huurnink, J. C. van Gemert, D.C. Koelma, and O. de Rooij. The mediamill large.lexicon concept suggestion engine. In Proceedings of ACM Multimedia (ACM MM), 2006. [bibtex | .pdf]

J. C. van Gemert, J. M. Geusebroek, C. J. Veenman, C. G. M. Snoek, and A. W. M. Smeulders. Robust scene categorization by learning image statistics in context. In CVPR Workshop on Semantic Learning Applications in Multimedia (CVPR-SLAM), 2006. [bibtex | .pdf]

A. W. M. Smeulders, J. C. van Gemert, J. M. Geusebroek, C. G. M. Snoek, and M. Worring. Browsing for the national dutch archive. In International Symposium on Communications, Control and Signal Processing (ISCCSP), 2006. [bibtex | .pdf]

C. G. M. Snoek, M. Worring, J. C. van Gemert, J. M. Geusebroek, D.C. Koelma, G.P.Nguyen, O. de Rooij, , and F.J. Seinstra. Mediamill: Exploring news video archives based on learned semantics. In Proceedings of ACM Multimedia (ACM), 2005. Best technical demo award. [bibtex | http | .pdf]

P. Wolf, J. Woelfel, J. C. van Gemert, B. Raj, and D. Wong. Spokenquery: An alternate approach to choosing items with speech. In International Conference on Speech and Language Processing (ICSLP), October 2004. [bibtex | .pdf]

V. Divi, C. Forlines, J. C. van Gemert, B. Raj, B. Schmidt-Nielsen, K. Wittenburg, J. Woelfel, P. Wolf, and F. Zhang. A speech-in list-out approach to spoken user interfaces. In Human Language Technology Conference (HLT), May 2004. [bibtex | .pdf]

M. Worring, G.P. Nguyen, L. Hollink, J. C. van Gemert, and D.C. Koelma. Accessing video archives using interactive search. In International Conference on Multimedia and Expo (ICME), 2004. [bibtex | .pdf]

M. Worring, A. Bagdanov, J. C. van Gemert, J. M. Geusebroek, M.A. Hoang, A. T. Schreiber, C. G. M. Snoek, J. Vendrig, J. Wielemaker, and A. W. M. Smeulders. interactive indexing and retrieval of multimedia content. In Proceedings of the 29th Annual Conference on Current Trends in Theory and Practice of Informatics (SOFSEM), volume LNCS 2540, pages 135-148. Springer-Verlag, 2002. [bibtex | .pdf]

J. M. Geusebroek, M.A. Hoang, J. C. van Gemert, and M. Worring. Genre-based search through biomedical images. In Proceedings of the 16th International Conference on Pattern Recognition (ICPR), volume 1, page IV.1. IEEE Computer Society, 2002. [bibtex | .ps | .pdf]

J. M. Geusebroek, M.A. Hoang, J. C. van Gemert, and M. Worring. Searching for images in biomedical publications. In S. Ghebreab, A. W. M. Smeulders, and J. Duncan, editors, VisIm Workshop (MICCAI), 2001. [bibtex | .ps.gz | .pdf]

S. Kordumova, J. C. van Gemert, C. G. M. Snoek and A. W. M. Smeulders. Searching Scenes by Abstracting Things. In arXiv, 2016. [paper]

M. Jain, J. C. van Gemert, P. Mettes, C. Snoek. University of Amsterdam at THUMOS 2015. In Computer Vision and Pattern Recognition workshop (CVPRw), 2015. [.pdf]

M. Jain, J. C. van Gemert, C. Snoek. University of Amsterdam at THUMOS 2014. In European Conference on Computer Vision workshop (ECCVw), 2014. (Winner of the classification task) [.pdf]

T. Westerveld, R. Cornacchia, A.P. de Vries, J. C. van Gemert, and D. Hiemstra. An integrated approach to text and image retrieval- the lowlands team at trecvid 2005. In Proceedings of the 3rd TRECVID Workshop, November 2005. [bibtex | .pdf]

C. G. M. Snoek, J. C. van Gemert, J. M. Geusebroek, B. Huurnink, D.C. Koelma, G.P. Nguyen, O. de Rooij, F.J. Seinstra, A. W. M. Smeulders, C. J. Veenman, and M. Worring. The mediamill TRECVID 2005 semantic video search engine. In Proceedings of the 3rd TRECVID Workshop, November 2005. [bibtex | .pdf]

J. M. Geusebroek, G. J. Burghouts, J. C. van Gemert, and A. W. M. Smeulders. Invariant representations to prepare for content based image retrieval from first principles. In R. Veltkamp, editor, Trends and Advances in Content-Based Image and Video Retrieval. Springer Verlag, Berlin, 2005. [bibtex | .pdf]

M. Worring, G. P. Nguyen, L. Hollink, J. C. van Gemert, and D. C. Koelma. Interactive search using indexing, filtering, browsing and ranking. In Proceedings of the 1st TRECVID Workshop, November 2003. [bibtex | .pdf]

J. C. van Gemert. Retrieving images as text. Master's thesis, University of Amsterdam, The Netherlands, May 2003. [bibtex | .pdf]

J. C. van Gemert. practical tutorial for using corba. Technical Report Nr. 24, ISIS, April 2000. [bibtex | .pdf]

J. C. van Gemert. text mining tools on the internet. Technical Report Nr. 25, ISIS, September 2000. [bibtex | .pdf]