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ORCIDTinne Tuytelaars
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- affiliation: KU Leuven, ESAT-PSI, Belgium
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2020 – today
- 2023
[j54]Eli Verwimp
, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. Neural Networks 161: 659-669 (2023)- [j53]Thomas Verelst, Tinne Tuytelaars:
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2400-2411 (2023) - [c204]Mingxiao Li, Zehao Wang, Tinne Tuytelaars, Marie-Francine Moens:
Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding. AAAI 2023: 1386-1395 - [c203]Liao Wang, Qiang Hu, Qihan He, Ziyu Wang, Jingyi Yu, Tinne Tuytelaars, Lan Xu, Minye Wu:
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos. CVPR 2023: 76-87 - [c202]Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Unbalanced Optimal Transport: A Unified Framework for Object Detection. CVPR 2023: 3198-3207 - [c201]Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran:
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CVPR 2023: 7000-7009 - [c200]Matthias De Lange, Gido M. van de Ven, Tinne Tuytelaars:
Continual evaluation for lifelong learning: Identifying the stability gap. ICLR 2023 - [c199]Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He:
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning. ICLR 2023 - [c198]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars:
Continual Learning with Pretrained Backbones by Tuning in the Input Space. IJCNN 2023: 1-9 - [c197]Abhishek Jha, Soroush Seifi, Tinne Tuytelaars:
SimGlim: Simplifying glimpse based active visual reconstruction. WACV 2023: 269-278 - [c196]Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars:
Barlow constrained optimization for Visual Question Answering. WACV 2023: 1084-1093 - [c195]Tim Lebailly, Tinne Tuytelaars:
Global-Local Self-Distillation for Visual Representation Learning. WACV 2023: 1441-1450 - [c194]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Weakly Supervised Face Naming with Symmetry-Enhanced Contrastive Loss. WACV 2023: 3494-3503 - [c193]Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars, Maxim Berman:
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations. WACV 2023: 3868-3878 - [i107]Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He:
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning. CoRR abs/2303.01313 (2023) - [i106]Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran:
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CoRR abs/2303.13245 (2023) - [i105]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
Adaptive Similarity Bootstrapping for Self-Distillation. CoRR abs/2303.13606 (2023) - [i104]Timm Hess, Eli Verwimp, Gido M. van de Ven, Tinne Tuytelaars:
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting. CoRR abs/2304.00933 (2023) - [i103]Liao Wang, Qiang Hu, Qihan He, Ziyu Wang, Jingyi Yu, Tinne Tuytelaars, Lan Xu, Minye Wu:
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos. CoRR abs/2304.04452 (2023) - [i102]Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven:
Prediction Error-based Classification for Class-Incremental Learning. CoRR abs/2305.18806 (2023) - [i101]Manuele Rusci, Tinne Tuytelaars:
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems. CoRR abs/2306.02161 (2023) - [i100]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars:
Continual Learning with Pretrained Backbones by Tuning in the Input Space. CoRR abs/2306.02947 (2023) - [i99]Cédric Picron, Tinne Tuytelaars:
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving Sparsity. CoRR abs/2307.01545 (2023) - [i98]Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Unbalanced Optimal Transport: A Unified Framework for Object Detection. CoRR abs/2307.02402 (2023) - [i97]Gorjan Radevski, Dusan Grujicic, Marie-Francine Moens, Matthew B. Blaschko, Tinne Tuytelaars:
Multimodal Distillation for Egocentric Action Recognition. CoRR abs/2307.07483 (2023) - [i96]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Visually-Aware Context Modeling for News Image Captioning. CoRR abs/2308.08325 (2023) - [i95]Georgios Kouros, Minye Wu, Shubham Shrivastava, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars:
Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction. CoRR abs/2308.08530 (2023) - [i94]Bo Wan, Tinne Tuytelaars:
Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levels. CoRR abs/2309.05069 (2023) - 2022
- [j52]Tim Van De Looverbosch, Jiaqi He, Astrid Tempelaere, Klaas Kelchtermans, Pieter Verboven, Tinne Tuytelaars, Jan Sijbers, Bart M. Nicolaï:
Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images. Comput. Electron. Agric. 197: 106962 (2022) - [j51]Gido M. van de Ven, Tinne Tuytelaars, Andreas S. Tolias:
Three types of incremental learning. Nat. Mac. Intell. 4(12): 1185-1197 (2022) - [j50]Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
A Continual Learning Survey: Defying Forgetting in Classification Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3366-3385 (2022) - [c192]Georgios Kouros, Shubham Shrivastava, Cédric Picron, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars:
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation. BMVC 2022: 26 - [c191]Cédric Picron, Tinne Tuytelaars:
Trident Pyramid Networks for Object Detection. BMVC 2022: 241 - [c190]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
Re-examining Distillation for Continual Object Detection. BMVC 2022: 807 - [c189]Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He:
Generative Negative Text Replay for Continual Vision-Language Pretraining. ECCV (36) 2022: 22-38 - [c188]Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky:
New Insights on Reducing Abrupt Representation Change in Online Continual Learning. ICLR 2022 - [c187]Bo Wan, Wenjuan Han, Zilong Zheng, Tinne Tuytelaars:
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling. ICLR 2022 - [c186]Tinne Tuytelaars:
Keep on Learning. ICPRAM 2022: 9 - [c185]Klaas Kelchtermans, Tinne Tuytelaars:
RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues. IROS 2022: 1704-1710 - [i93]Klaas Kelchtermans, Tinne Tuytelaars:
RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues. CoRR abs/2201.02798 (2022) - [i92]Zehao Wang, Mingxiao Li, Minye Wu, Marie-Francine Moens, Tinne Tuytelaars:
Find a Way Forward: a Language-Guided Semantic Map Navigator. CoRR abs/2203.03183 (2022) - [i91]Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars:
Barlow constrained optimization for Visual Question Answering. CoRR abs/2203.03727 (2022) - [i90]Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars, Maxim Berman:
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations. CoRR abs/2203.06127 (2022) - [i89]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
Re-examining Distillation For Continual Object Detection. CoRR abs/2204.01407 (2022) - [i88]Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Davide Bacciu:
Continual Pre-Training Mitigates Forgetting in Language and Vision. CoRR abs/2205.09357 (2022) - [i87]Matthias De Lange, Gido van de Ven, Tinne Tuytelaars:
Continual evaluation for lifelong learning: Identifying the stability gap. CoRR abs/2205.13452 (2022) - [i86]Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars, Tong Duy Son:
MPC-based Imitation Learning for Safe and Human-like Autonomous Driving. CoRR abs/2206.12348 (2022) - [i85]Tim Lebailly, Tinne Tuytelaars:
Global-Local Self-Distillation for Visual Representation Learning. CoRR abs/2207.14676 (2022) - [i84]Georgios Kouros, Shubham Shrivastava, Cédric Picron, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars:
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation. CoRR abs/2208.06195 (2022) - [i83]Cédric Picron, Punarjay Chakravarty, Tinne Tuytelaars:
FQDet: Fast-converging Query-based Detector. CoRR abs/2210.02318 (2022) - [i82]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. CoRR abs/2210.03482 (2022) - [i81]Gorjan Radevski, Dusan Grujicic, Matthew B. Blaschko, Marie-Francine Moens, Tinne Tuytelaars:
Students taught by multimodal teachers are superior action recognizers. CoRR abs/2210.04331 (2022) - [i80]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Weakly Supervised Face Naming with Symmetry-Enhanced Contrastive Loss. CoRR abs/2210.08957 (2022) - [i79]Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He:
Generative Negative Text Replay for Continual Vision-Language Pretraining. CoRR abs/2210.17322 (2022) - [i78]Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars, Tong Duy Son:
Evaluation of MPC-based Imitation Learning for Human-like Autonomous Driving. CoRR abs/2211.12111 (2022) - [i77]Mingxiao Li, Zehao Wang, Tinne Tuytelaars, Marie-Francine Moens:
Layout-aware Dreamer for Embodied Referring Expression Grounding. CoRR abs/2212.00171 (2022) - 2021
- [j49]Timothy Callemein, Tom Roussel, Ali Diba, Floris De Feyter, Wim Boes, Luc Van Eycken, Luc Van Gool, Hugo Van hamme, Tinne Tuytelaars, Toon Goedemé:
Show me where the action is! Multim. Tools Appl. 80(1): 383-408 (2021) - [c184]Gorjan Radevski, Marie-Francine Moens, Tinne Tuytelaars:
Revisiting spatio-temporal layouts for compositional action recognition. BMVC 2021: 110 - [c183]Kaili Wang, José Oramas, Tinne Tuytelaars:
MinMaxCAM: Improving object coverage for CAM-based Weakly Supervised Object Localization. BMVC 2021: 238 - [c182]Marc Masana, Tinne Tuytelaars, Joost van de Weijer:
Ternary Feature Masks: Zero-Forgetting for Task-Incremental Learning. CVPR Workshops 2021: 3570-3579 - [c181]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - [c180]Thomas Verelst, Tinne Tuytelaars:
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies. ICCV 2021: 5138-5147 - [c179]Matthias De Lange, Tinne Tuytelaars:
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. ICCV 2021: 8230-8239 - [c178]Eli Verwimp, Matthias De Lange, Tinne Tuytelaars:
Rehearsal revealed: The limits and merits of revisiting samples in continual learning. ICCV 2021: 9365-9374 - [c177]Soroush Seifi, Abhishek Jha, Tinne Tuytelaars:
Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration. ICCV 2021: 16117-16126 - [c176]Tom Roussel, Tinne Tuytelaars, Luc Van Eycken:
Unsupervised Motion Estimation of Vehicles Using ICP. ICRA 2021: 7599-7605 - [c175]Cédric Picron, Punarjay Chakravarty, Tom Roussel, Tinne Tuytelaars:
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector. ICRA 2021: 13293-13300 - [c174]Steven Colleman, Thomas Verelst, Linyan Mei, Tinne Tuytelaars, Marian Verhelst:
Processor Architecture Optimization for Spatially Dynamic Neural Networks. VLSI-SoC 2021: 1-6 - [i76]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i75]Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky:
Reducing Representation Drift in Online Continual Learning. CoRR abs/2104.05025 (2021) - [i74]Eli Verwimp, Matthias De Lange, Tinne Tuytelaars:
Rehearsal revealed: The limits and merits of revisiting samples in continual learning. CoRR abs/2104.07446 (2021) - [i73]Kaili Wang, José Oramas M., Tinne Tuytelaars:
Towards Human-Understandable Visual Explanations: Imperceptible High-frequency Cues Can Better Be Removed. CoRR abs/2104.07954 (2021) - [i72]Kaili Wang, José Oramas M., Tinne Tuytelaars:
MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization. CoRR abs/2104.14375 (2021) - [i71]Thomas Verelst, Tinne Tuytelaars:
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies. CoRR abs/2108.09376 (2021) - [i70]Soroush Seifi, Abhishek Jha, Tinne Tuytelaars:
Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration. CoRR abs/2108.11717 (2021) - [i69]Cédric Picron, Tinne Tuytelaars:
Trident Pyramid Networks: The importance of processing at the feature pyramid level for better object detection. CoRR abs/2110.04004 (2021) - [i68]Gorjan Radevski, Marie-Francine Moens, Tinne Tuytelaars:
Revisiting spatio-temporal layouts for compositional action recognition. CoRR abs/2111.01936 (2021) - 2020
- [j48]Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Tinne Tuytelaars, Jiri Matas, Krystian Mikolajczyk:
$\mathbb {H}$H-Patches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2825-2841 (2020) - [j47]Yu Liu, Tinne Tuytelaars:
A Deep Multi-Modal Explanation Model for Zero-Shot Learning. IEEE Trans. Image Process. 29: 4788-4803 (2020) - [c173]Ali Varamesh, Tinne Tuytelaars:
MIX'EM: Unsupervised Image Classification Using a Mixture of Embeddings. ACCV (3) 2020: 38-55 - [c172]Kaili Wang, José Oramas M., Tinne Tuytelaars:
Multiple Exemplars-Based Hallucination for Face Super-Resolution and Editing. ACCV (5) 2020: 258-273 - [c171]Kaili Wang, José Oramas M., Tinne Tuytelaars:
In Defense of LSTMs for Addressing Multiple Instance Learning Problems. ACCV (6) 2020: 444-460 - [c170]Julien Schroeter, Tinne Tuytelaars, Kirill A. Sidorov, A. David Marshall:
Learning Multi-instance Sub-pixel Point Localization. ACCV (5) 2020: 669-686 - [c169]Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew:
On the Exploration of Incremental Learning for Fine-grained Image Retrieval. BMVC 2020 - [c168]Yu Liu, Tinne Tuytelaars:
A Novel Baseline for Zero-shot Learning via Adversarial Visual-Semantic Embedding. BMVC 2020 - [c167]Dusan Grujicic, Gorjan Radevski, Tinne Tuytelaars, Matthew B. Blaschko:
Learning to ground medical text in a 3D human atlas. CoNLL 2020: 302-312 - [c166]Thomas Verelst, Tinne Tuytelaars:
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference. CVPR 2020: 2317-2326 - [c165]Ali Varamesh, Tinne Tuytelaars:
Mixture Dense Regression for Object Detection and Human Pose Estimation. CVPR 2020: 13083-13092 - [c164]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem. CVPR 2020: 14451-14460 - [c163]Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens:
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. ECCV Workshops (2) 2020: 3-26 - [c162]Thomas Verelst, Tinne Tuytelaars:
SegBlocks: Towards Block-Based Adaptive Resolution Networks for Fast Segmentation. ECCV Workshops (5) 2020: 18-22 - [c161]Robby Neven, Marian Verhelst, Tinne Tuytelaars, Toon Goedemé:
Feed-Forward On-Edge Fine-Tuning Using Static Synthetic Gradient Modules. ECCV Workshops (5) 2020: 131-146 - [c160]Soroush Seifi, Tinne Tuytelaars:
Attend and Segment: Attention Guided Active Semantic Segmentation. ECCV (25) 2020: 305-321 - [c159]Kristof Van Beeck, Tanguy Ophoff, Maarten Vandersteegen, Tinne Tuytelaars, Davide Scaramuzza, Toon Goedemé:
Real-Time Embedded Computer Vision on UAVs: - UAVision2020 Workshop Summary. ECCV Workshops (4) 2020: 665-674 - [c158]Yu Liu, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars:
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning. ECCV (26) 2020: 699-716 - [c157]Gorjan Radevski, Guillem Collell, Marie-Francine Moens, Tinne Tuytelaars:
Decoding language spatial relations to 2D spatial arrangements. EMNLP (Findings) 2020: 4549-4560 - [c156]Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
Unpaired Image-To-Image Shape Translation Across Fashion Data. ICIP 2020: 206-210 - [i67]Marc Masana, Tinne Tuytelaars, Joost van de Weijer:
Ternary Feature Masks: continual learning without any forgetting. CoRR abs/2001.08714 (2020) - [i66]Tom Roussel, Punarjay Chakravarty, Gaurav Pandey, Tinne Tuytelaars, Luc Van Eycken:
Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps. CoRR abs/2002.01210 (2020) - [i65]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem. CoRR abs/2003.13296 (2020) - [i64]Xu Ji, João F. Henriques, Tinne Tuytelaars, Andrea Vedaldi:
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain. CoRR abs/2006.12323 (2020) - [i63]Ali Varamesh, Tinne Tuytelaars:
MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings. CoRR abs/2007.09502 (2020) - [i62]Soroush Seifi, Tinne Tuytelaars:
Attend and Segment: Attention Guided Active Semantic Segmentation. CoRR abs/2007.11548 (2020) - [i61]Cédric Picron, Punarjay Chakravarty, Tom Roussel, Tinne Tuytelaars:
What My Motion tells me about Your Pose: Self-Supervised Fine-Tuning of Observed Vehicle Orientation Angle. CoRR abs/2007.14812 (2020) - [i60]Matthias De Lange, Tinne Tuytelaars:
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. CoRR abs/2009.00919 (2020) - [i59]Kaili Wang, José Oramas M., Tinne Tuytelaars:
Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing. CoRR abs/2009.07827 (2020) - [i58]Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens:
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. CoRR abs/2009.08792 (2020) - [i57]Robby Neven, Marian Verhelst, Tinne Tuytelaars, Toon Goedemé:
Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules. CoRR abs/2009.09675 (2020) - [i56]Ali Varamesh, Ali Diba, Tinne Tuytelaars, Luc Van Gool:
Self-Supervised Ranking for Representation Learning. CoRR abs/2010.07258 (2020) - [i55]Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew:
On the Exploration of Incremental Learning for Fine-grained Image Retrieval. CoRR abs/2010.08020 (2020) - [i54]Roger Granda, Tinne Tuytelaars, José Oramas M.:
Can the state of relevant neurons in a deep neural networks serve as indicators for detecting adversarial attacks? CoRR abs/2010.15974 (2020) - [i53]Thomas Verelst, Tinne Tuytelaars:
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation. CoRR abs/2011.12025 (2020)
2010 – 2019
- 2019
- [c155]Kevin Bardool, Tinne Tuytelaars, José Oramas M.:
A Context Aware Deep Learning Architecture for Object Detection. BNAIC/BENELEARN 2019 - [c154]Kevin Bardool, Tinne Tuytelaars, José Oramas M.:
A Systematic Analysis of a Context Aware Deep Learning Architecture for Object Detection. BNAIC/BENELEARN 2019 - [c153]José Oramas M., Kaili Wang, Tinne Tuytelaars:
Interpreting and Explaining Deep Models Visually. BNAIC/BENELEARN 2019 - [c152]Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars:
Task-Free Continual Learning. CVPR 2019: 11254-11263 - [c151]