- Organization. I'm an area chair at CVPR 2025.

- Public science communication. "AI and Vision: A shallow dive into deep learning" at Harvest Imaging Forum.
- Mentoring. I am a mentor at the speed mentoring event at the European Conference on Computer Vision (ECCV) 2024.
- Accepted paper. European Conference on Computer Vision (ECCV), "MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes" [pdf, project].
- Accepted paper. European Conference on Computer Vision workshop (ECCVw), "Aligning Object Detector Bounding Boxes with Human Preference" [pdf].
- Accepted paper. European Conference on Computer Vision workshop (ECCVw), "Pushing Joint Image Denoising and Classification to the Edge" [pdf].
- Accepted paper. European Conference on Computer Vision workshop (ECCVw), "Pushing the boundaries of event subsampling in event-based video classification using CNNs" [pdf].
- Accepted paper. European Conference on Computer Vision workshop (ECCVw), "HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions" [pdf].
- Supervised PhD graduated. Proud that Dr. Yunqiang Li graduated.
- PhD committee. For the PhD defense of Dr. Sander Klomp.
- Radio interview. On Radio Totaal Normaal, Kunstmatige intelligentie.
- Supervised PhD graduated. Proud that Dr. Xin Liu graduated.
- Research guidelines. I have consolidated all my separate research guidelines in a single document: Empirical understanding-based Research guidelines in Deep Learning.
- Supervised PhD graduated. Proud that Dr. Attila Lengyel graduated.
- Supervised PhD graduated. Proud that Dr. Ziqi Wang graduated.
- Grant. Received a EU grant Biodiversa+: European Biodiversity Partnership.
- Organization. I'm a senior area chair at ECCV 2024.
- Organization. Started a new term as chairman of the ASCI scientific committee.
- Accepted paper. International Conference on Computer Vision Theory and Applications (VISAPP), "End-to-end-chess-recognition" [pdf].
- Accepted paper. International Conference on Computer Vision Theory and Applications (VISAPP), "Scale Learning in Scale-Equivariant Convolutional networks" [pdf].
- PhD committee. For the PhD defense of Dr. Raffaele Imbriaco.
- Organization. I'm a reviewer at CVPR 2024.

- Grant. Received a Take-off grant for developing Video AI applications.
- Accepted paper. Neural Information Processing Systems (NeurIPS), "Color Equivariant Convolutional Networks" [pdf].
- Invited talk. "A shallow introduction to Deep Learning" at ASCI Winterschool on Deep Learning.
- PhD committee. For the PhD defense of Dr. Rick Groenendijk.
- Accepted paper. International Conference on Computer Vision (ICCV), "Objects do not disappear: Video object detection by single-frame object location anticipation" [pdf].
- Accepted paper. International Conference on Computer Vision (ICCV), "A step towards understanding why classification helps regression" [pdf].
- Accepted paper. International Conference on Computer Vision (ICCV), "Differentiable Transportation Pruning" [pdf].
- Accepted paper. International Conference on Computer Vision workshop (ICCVw), "Video BagNet: short temporal receptive fields increase robustness in long-term action recognition" [pdf].
- Accepted paper. International Conference on Computer Vision workshop (ICCVw), "Are current long-term video understanding datasets long-term?" [pdf].
- Accepted paper. International Conference on Computer Vision workshop (ICCVw), "Is there progress in activity progress prediction?" [pdf].
- Accepted paper. International Conference on Computer Vision workshop (ICCVw), "Using and abusing equivariance" [pdf].
- Accepted paper. International Conference on Computer Vision workshop (ICCVw), "Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models" [pdf].
- Accepted paper. International Conference on Computer Vision workshop (ICCVw), "SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity" [pdf].
- Accepted paper. International Conference on Computer Vision workshop (ICCVw), "Non-Destructive Infield Quality Estimation of Strawberries Using Deep Architectures" [pdf].
- Invited talk. "Computer vision by deep learning" at Plantum.
- Award.Best educator in the MSc award Computer Science MSc 2023.
- Organization. I'm an area chair at BMVC 2023.
- Accepted paper. Annals of Clinical and Translational Neurology, "Assessing facial weakness in myasthenia gravis with facial recognition software and deep learning" [pdf].
- Organization. The Netherlands Conference on Computer Vision NCCV 2023
- Organization. ICCV workshop of our 4th iteration of the Visual Inductive Priors for Data-Efficient Deep Learning: VIPriors.
- Organization. ICCV workshop on Computer Vision Aided Architectural Design: CVAAD.
- Accepted paper. International Conference on Learning Representations (ICLR), "Understanding weight-magnitude hyperparameters in training binary networks" [pdf].
- PhD committee. For the PhD defense of Dr. Boudewine Ossenkoppele.
- Accepted paper. CVPR workshop L3D-IVU 2023, "What Affects Learned Equivariance in Deep Image Recognition Models?" [pdf].
- Accepted paper. Medical Imaging 2023, "Analyzing components of a transformer under different dataset scales in 3D prostate CT segmentation" [pdf].
- Accepted paper. Sensors 2023, "Towards single camera human 3D kinematics" [pdf].
- Organization. I'm an area chair at ICCV 2023.
- Organization. I'm a reviewer at CVPR 2023.
- Accepted paper. WACV 2023, "LAB: Learnable Activation Binarizer for Binary Neural Networks" [pdf].

- Accepted paper. ICLR 2022, "Flexconv: Continuous kernel convolutions with differentiable kernel sizes" [pdf].
- PhD committee. For the PhD defense of Dr. Sadaf Gulshad.
- PhD committee. For the PhD defense of Dr. Markus Braun.
- Award. British Machine Vision Confence (BMVC): Best student paper (Honorable mention).
- Accepted paper. BMVC 2022, "NeRD++: Improved 3D-mirror symmetry learning from a single image" [pdf].
- Accepted paper. BMVC 2022, "Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation" [pdf, Paper award].
- Mentoring. I am a senior faculty mentor at the speed mentoring event at the European Conference on Computer Vision (ECCV).
- PhD committee. For the PhD defense of Dr. Dong Hang.
- Invited talk. About "AI for image recognition" at Rijksdienst voor Ondernemend Nederland, in collaboration with ALLAI.
- Organization. Workshop at the European Conference on Computer Vision (ECCV), the 3rd edition of VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning.
- Supervised PhD graduated. Exited that Dr. Amogh Gudi graduated.
- Organization. I'm an area chair at BMVC 2022.
- Accepted paper. ICIP 2022, "Humans disagree with the IoU for measuring object detector localization error" [pdf].
- Accepted paper. ICIP 2022, "Heart rate estimation in intense exercise videos" [pdf].
- Accepted paper. ICPR 2022, "AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift" [pdf].
- Supervised PhD graduated. Happy that Dr. Yancong Lin graduated.
- Organization. I'm an area chair at ECCV 2022.
- Accepted paper. CVPR 2022, "Deep vanishing point detection: Geometric priors make dataset variations vanish" [pdf].
- Supervised PhD graduated. Proud that Dr. Osman Semih Kayhan graduated.
- PhD committee. For the PhD defense of Dr. Juan Pedro Vigueras Guillen.
- Accepted paper. AAAI 2022, "Equal Bits: Enforcing Equally Distributed Binary Network Weights" [pdf].
- Organization. I'm an area chair at CVPR 2022.

- PhD committee. For the PhD defense of Dr. Javad Zolfaghari Bengar, CVC, Barcelona.
- Accepted paper. BMVC 2021, "Frequency learning for structured CNN filters with Gaussian fractional derivatives" [pdf].
- Award. Deep Learning for Geometric Computing 2021 workshop at ICCV: a best paper award.
- Accepted paper. (oral) ICCV 2021, "Zero-Shot Day-Night Domain Adaptation With a Physics Prior" [pdf].
- Accepted paper. ICCV 2021, "Spectral Leakage and Rethinking the Kernel Size in CNNs" [pdf].
- Organization. Workshop at ICCV, the 2nd edition of VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning.
- Accepted paper. DLGC 2021, "Investigating transformers in the decomposition of polygonal shapes as point collections" [pdf].
- Accepted paper. IEEE Biomedical and Health Informatics 2021, "Assessment of Parkinson's Disease Severity from Videos using Deep Architecture" [pdf].
- Accepted paper. ICIP 2021, "PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations" [pdf].
- Accepted paper. ICIP 2021, "The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification" [pdf].
- Accepted paper. ICIP 2021, "Exploiting Learned Symmetries in Group Equivariant Convolutions" [pdf].
- Accepted paper. ICIP 2021, "Semi-supervised lane detection with Deep Hough Transform" [pdf].
- Accepted paper. ICIP 2021, "Hallucination In Object Detection -- A Study In Visual Part Verification" [pdf, DelftBikes data set].
- PhD committee. For the PhD defense of Dr. Shuo Li, TU Delft.
- Accepted paper. ICML 2021, "Deep Continuous Networks" [pdf].
- Accepted paper. TIP 2021, "Resolution learning in deep convolutional networks using scale-space theory" [pdf].
- Accepted paper. AAAI 2021, "Deep Unsupervised Image Hashing by Maximizing Bit Entropy" [pdf].
- Organization. I'm an area chair at CVPR 2021.
- Organization. I'm an area chair at BMVC 2021.
- Organization. I'm appointed chairman of the ASCI scientific committee.
- Accepted paper. CVPR 2021, "No frame left behind: Full Video Action Recognition" [pdf].
- Organization. I'm an area chair at ICCV 2021.

- Paper reproduction repository. We launched an open website to submit, archive, and structure (partial) reproductions of machine learning papers: https://reproducedpapers.org/.
- Accepted paper. RRPR 2020, "ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility" [pdf].
- Accepted paper. MDPI Applied Sciences journal 2020, "Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation" [pdf].
- Accepted paper. DL-HAU 2020, "t-EVA: Time-Efficient t-SNE Video Annotation" [pdf].
- Invited talk. About "Black Magic in Deep Learning" at Computer vision talks.
- Organization. Workshop at ECCV, the first edition of VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning.
- PhD committee. Jury member in the committee of Dr. Li, Shuo.
- Program committee. I'm reviewing for CVPR 2021.
- Program committee. I'm reviewing for WACV 2020.
- Accepted paper. ICPR 2020, "Respecting Domain Relations: Hypothesis Invariance for Domain Generalization" [pdf].
- Accepted paper. ICPR 2020, "WeightAlign: Normalizing Activations by Weight Alignment" [pdf].
- Accepted paper. ICPR 2020, "Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels" [pdf, code].
- Accepted paper. ICPR 2020, "Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions" [pdf].
- Program committee. I'm reviewing for ICPR 2020.
- Youtube. The TU-Delft Computer Vision lab now has its own Youtube channel.
- Award. OpenEyes ECCV 2020 workshop: Received Best paper award.
- Accepted paper. BMVC 2020, "Black Magic in Deep Learning: How Human Skill Impacts Network Training" [pdf].
- TV appearance. On Universiteit van Nederland, Hoe herkent een zelfrijdende auto een fietser?.
- Accepted paper. ECCV 2020, "Deep Hough-Transform Line Priors" [pdf].
- Accepted paper. ECCVw 2020, "Efficiency in Real-time Webcam Gaze Tracking" [pdf].
- Accepted paper. IEEE Access 2020, "On Sensitive Minima in Margin-based Deep Distance Learning" [pdf].
- Award. CVPR 2020: Received Outstanding reviewer award.
- Blog post. Current Convolutional Neural Networks are not translation equivariant.
- Accepted paper. CVPR Deep Vision workshop 2020, "Top-Down Networks: A coarse-to-fine reimagination of CNNs" [pdf].
- Program committee. I'm reviewing for ECCV 2020.
- Organization. Organizing an ECCV'20 workshop on Visual Inductive Priors for Data-Efficient Deep Learning.
- Accepted paper. CVPR 2020, "On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location" [pdf].
- Organization. I'm an area chair at BMVC 2020.
- Speaker. Gave an introduction to CNNs in the context of AllAI at the Dutch ministry of economic affairs.
- Speaker. Guest lecture in the Erasmus Faector excellence program.
- Newspaper article. In Dutch national newspaper on difficulty of video search on social media De volkskrant.

- Program committee. I'm reviewing for CVPR 2020.
- Slides. on Where is the action? Analyzing 10 recent data sets in action recognition.
- Slides. on How to do (deep learning) research? Tips, common pitfalls and guidelines.
- Speaker. I will give a keynote presentation in London, at the British Machine Vision Association's Video understanding workshop. [slides]
- Speaker. I will kick off the first Rotterdam deep learning meetup.
- Speaker. I will speak at the Delft-Leiden Deep Learning practitioners on how to do (deep learning) research. [slides]
- Accepted paper. BMVC 2019, "Push for Quantization: Deep Fisher Hashing" [pdf].
- Accepted paper. ICCV-W 2019, "The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behavior Recognition in Untrimmed Videos" [pdf].
- Accepted paper. ICCV-W 2019, "Cross Domain Image Matching in Presence of Outliers" [pdf].
- Accepted paper. ICCV-W 2019, "Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability" [pdf].
- Accepted paper. ICCV-W 2019, "Attention-Aware Age-Agnostic Visual Place Recognition" [pdf].
- Program committee. I'm reviewing 8 papers for ICCV 2019.
- Accepted paper. ACM MM-W 2019, "Running Event Visualization using Videos from Multiple Cameras" [pdf].
- Speaker. I will give a keynote presentation in Bonn, at the Anticipating Human Behavior workshop. [slides]
- Grant. Obtained a prestigious NWO VIDI grant on 'Tabula Inscripta: adding prior knowledge to deep learning', researching visual inductive priors to improve deep network data efficiency.
- Organization. I'm an area chair at BMVC 2019.
- Accepted paper. CVPR-W 2019, "Deep Visual City Recognition Visualization" [pdf].
- Accepted paper. CVPR-W 2019, "ViDeNN: Deep Blind Video Denoising" [pdf, code].
- Organization. I've joined ASCI in the research committee.
- Organization. I'm a track chair of ICT.OPEN 2019.
- Organization. I'm organizing the Delft Deep Learning Colloquium 2019 with excellent speakers from industry and academia.
- Course. Teaching a 2 day graduate course in June: Deep Learning Demystified.
- Speaker. at the Computer Vision symposium of Thalia, study association of Nijmegen University.
- Speaker. at the Delft AI meetup.
- Newspaper article. In Dutch national newspaper discussing Deep learning for sports analysis, De volkskrant: Geen sport ontkomt nog aan datadrift.
- TV appearance. On Dutch national television, EenVandaag: De vervangbare mens (after 11 minutes).
- Grant. Obtained a NWO TOP grant on 'pixel-free deep learning' researching Scale-Space and deep learning.

- Accepted paper. TIP 2018, "Divide and Count: Generic Object Counting by Image Divisions" (pdf).
- Accepted paper. ICIP 2018, "Recurrent knowledge distillation" (pdf).
- Award. ECCV 2018 workshop best paper award for "Hand-tremor frequency estimation in videos" (pdf).
- Workshop. Organizing ECCV'18 workshop Anticipating Human Behavior.
- Accepted paper. ECCV 2018 workshop, "Using phase instead of optical flow for action recognition" (pdf).
- Accepted paper. ECCV 2018 workshop, "Hand-tremor frequency estimation in videos" (pdf).
- Accepted paper. PRL 2018, "Asymmetric kernel in Gaussian Processes for learning target variance" (pdf).
- Accepted paper. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, "Shape based classification of seismic building structural types".
- Speaker. Keynote speaker at the AI expo Europe (presentation slides: Deep Learning Bytes).
- Seminar. Organizing the "Delft deep learning seminar" (Flyer).
- Seminar. Taught the "Deep Learning Workshop" for TU Delft personell.
- Guest lecture at the iQ winterschool 2018 on Machine Learning Applied to Quantitative Analysis of Medical Images.
- Interview. Interviewed for Humans of TU Delft.
- Visiting researcher. I am visiting the Computer Vision Center in Barcelona for six weeks.
- Grant. Obtained a Take-off grant for visually inspecting aircraft engines.

- Grant. Obtained funding through a Perpectief grant on EDL: Efficient Deep Learning.
- Grant. Obtained funding through a Perpectief grant on Citius Altius Sanius: Injury-free exercise for everyone.
- Youtube video of presentation available. For the ICCV 2017 paper "Active Decision Boundary Annotation with Deep Generative Models" (pdf) the video of the spotlight is online.
- Code available. For the ICCV 2017 paper "Active Decision Boundary Annotation with Deep Generative Models" (pdf) we have python code available on github.
- Award. BMVC 2017: Received Outstanding reviewer award.
- Press release. Nieuwe aanpak bewegingsanalyse blijkt nuttig voor Parkinson, vliegtuigmotoren en sport.
- Accepted paper. ICCV 2017, "Active Decision Boundary Annotation with Deep Generative Models" (pdf).
- Accepted paper. BMVC 2017, "Object-Extent Pooling for Weakly Supervised Single-Shot Localization" (pdf).
- Grant. Obtained funding for a PhD student from NWO Commit2Data for analyzing videos over time.
- Award. CVPR 2017: Received Outstanding reviewer award.
- Accepted paper. VAST 2017, "DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks" (pdf).
- Accepted paper. ICIAP 2017, "One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network".
- Accepted paper. CVPR 2017, "Video Acceleration Magnification" (pdf | Project).
- Accepted paper. DLM 2017, "Vision-based Detection of Acoustic Timed Events: a Case Study on Clarinet Note Onsets" (pdf, video).
- Accepted paper. IJCV 2017, "Tubelets: Unsupervised action proposals from spatiotemporal super-voxels" (pdf).
- Accepted paper. TIP 2017, "Con-Text: Text Detection for Fine-grained Object Classification". To appear.
- Workshop. Organizing CVPR'17 workshop Brave new ideas for motion representations in video.
- Interview. In medical delta about the Technology In Motion (TIM) lab.
- Postdoc position available. ArchiMediaL: deep learning and knowledge representations (academic transfer).
- Grant. Obtained funding for a postdoc from Volkswagen Stiftung for visually matching various architectural modalities. Project ArchiMediaL together with Prof. Carola Hein from Architecture @ TU-Delft, and Victor de Boer from Knowledge representations @ VU.
- Grant. Obtained a pilot grant from Sports engineering institute for visually analyzing exercising in the gym.
- Grant. Obtained a Take-off grant for visually analyzing recycling plastic.

- Conference. Organizing the Netherlands Conference on Computer Vision (NCCV'16)
- Workshop. Organized ECCV'16 workshop on Brave new ideas for motion representations in video.
- Conference. Co-Organized the European Conference on Computer Vision (ECCV'16)
- Data available. Code of the ICCV 2015 paper "Objects2action: Classifying and localizing actions without any video example" (pdf). All the embeddings we used are available.
- Accepted paper. ECCV 2016 workshop, "Making a Case for Learning Motion Representations with Phase" [pdf]
- Code available. of the CVPR 2016 paper "Structured Receptive Fields in CNNs" (pdf). Caffe and Theano code availabe on github.
- Accepted paper. ECCV 2016, "Spot On: Action Localization from Pointly-Supervised Proposals" [pdf]. Hollywood2Tubes dataset.
- Accepted paper. ECCV 2016, "Depth-aware Motion Magnification" [pdf, Supplemental]
- Organizing workshop. ECCV'16 Workshop on: Brave new ideas for motion representations in videos
- Accepted paper. CVIU 2016, "No Spare Parts: Sharing Part Detectors for Image Categorization"
- Award. Amazon Picking Challenge 2016: The team I advised on deep learning won two tasks. See news articles in The Verge and engadget.
- Award. CVPR 2016: Received Outstanding reviewer award.
- Accepted paper. ICIP 2016, "Featureless: Bypassing Feature Extraction in Action Categorization" (pdf)
- Accepted paper. CVIU 2016, "Large Scale Gaussian Process for Overlap-based Object Proposal Scoring" (pdf)
- Accepted paper. CVPR 2016, "Structured Receptive Fields in CNNs" (pdf)
- Presentation available. Of the oral presentation at the Kivi Kooy symposium of "De plenoptische mens: alle visuele stromen bevaren" (Presentation)
- Poster available. Of the presentation at Delft Data Science and sports, "Computer Vision for Sports" (Poster)
- Presentation available. Of the oral presentation at BMVC 2015 of "APT: Action localization Proposals from dense Trajectories" (Presentation)

- Code available. Of "Phase Based Video Motion Processing" as implemented during the Lorentz workshop "ICT with Industry 2015". Python source code available on github
- Data available. Of "What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions?" (.pdf) features available
- Code available. Of "APT: Action localization Proposals from dense Trajectories" (.pdf) python code and pre-computed tubes available on github
- Accepted paper. ICCV 2015, "Objects2action: Classifying and localizing actions without any video example" (pdf)
- Accepted paper. NCCV 2015, "BING3D: Fast Spatio-Temporal Proposals for Action Localization" (pdf)
- Accepted paper. MMM 2016, "Exploring the Long Tail of Social Media Tags" (pdf)
- Accepted paper. BMVC 2015, oral presentation, "APT: Action localization Proposals from dense Trajectories" (.pdf)
- New position: Assistant professor at Delft University of Technology.
- Supervision. Martine van den Berg, graduated on "Mobile Object Recognition: What are the Minimum Criteria that are Acceptable to Museum Visitors?"
- Supervision. Johan Sundin MSc, graduated on "Image Editing from multiple photos to one single best" (pdf)
- Supervision. June, supervising 8 profile project MSc AI students
- Accepted paper. CVPR 2015, "What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions?" (pdf)
- Award. CVPR 2015: Received Outstanding reviewer award
- Accepted paper. ICMR 2015, "Bag-of-Fragments: Selecting and encoding video fragments for event detection and recounting" (pdf)
- Accepted paper. ICIP 2015, "Per-patch metric learning for robust image matching" (pdf)