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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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2020 – today
- 2024
[j19]Giorgio Cruciata
, Luca Cruciata, Liliana Lo Presti, Jan van Gemert, Marco La Cascia:
Learn & drop: fast learning of cnns based on layer dropping. Neural Comput. Appl. 36(18): 10839-10851 (2024)- [c110]Casper van Engelenburg, Fatemeh Mostafavi, Emanuel Kuhn, Yuntae Jeon, Michael Franzen, Matthias Standfest, Jan van Gemert, Seyran Khademi:
MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes. ECCV (58) 2024: 60-75 - [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 - [i96]Sven de Witte, Ombretta Strafforello, Jan van Gemert:
Do Object Detection Localization Errors Affect Human Performance and Trust? CoRR abs/2401.17821 (2024) - [i95]Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert:
Deep Continuous Networks. CoRR abs/2402.01557 (2024) - [i94]Zhi-Yi Lin, Jouh Yeong Chew, Jan van Gemert, Xucong Zhang:
GazeHTA: End-to-end Gaze Target Detection with Head-Target Association. CoRR abs/2404.10718 (2024) - [i93]Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert:
VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2406.18176 (2024) - [i92]Casper van Engelenburg, Fatemeh Mostafavi, Emanuel Kuhn, Yuntae Jeon, Michael Franzen, Matthias Standfest, Jan van Gemert, Seyran Khademi:
MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes. CoRR abs/2407.10121 (2024) - [i91]Ombretta Strafforello, Osman Semih Kayhan, Oana Inel, Klamer Schutte, Jan van Gemert:
Aligning Object Detector Bounding Boxes with Human Preference. CoRR abs/2408.10844 (2024) - [i90]Thomas C. Markhorst, Jan C. van Gemert, Osman Semih Kayhan:
Pushing Joint Image Denoising and Classification to the Edge. CoRR abs/2409.08943 (2024) - [i89]Hesam Araghi, Jan van Gemert, Nergis Tomen:
Pushing the boundaries of event subsampling in event-based video classification using CNNs. CoRR abs/2409.08953 (2024) - [i88]Alexandru Bobe, Jan C. van Gemert:
HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions. CoRR abs/2409.10641 (2024) - [i87]Aurora Micheli, Olaf Booij, Jan van Gemert, Nergis Tömen:
Deep activity propagation via weight initialization in spiking neural networks. CoRR abs/2410.00580 (2024) - [i86]Alejandro Castañeda Garcia, Jan van Gemert, Daan Brinks, Nergis Tömen:
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems. CoRR abs/2410.01376 (2024) - [i85]Sjoerd Groot, Qinyu Chen, Jan C. van Gemert, Chang Gao:
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning. CoRR abs/2410.11062 (2024) - [i84]Alexander Gielisse, Nergis Tömen, Jan van Gemert:
Local Attention Transformers for High-Detail Optical Flow Upsampling. CoRR abs/2412.06439 (2024) - 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) - [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. 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 - [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-Ríos, 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
- [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) - [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 - [i66]Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista-Ríos, 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
- [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) - [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 - [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-Ríos, 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
- [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) - [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 - [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]