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ORCIDTinne Tuytelaars
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- affiliation: KU Leuven, ESAT-PSI, Belgium
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2020 – today
- 2024
[j61]Andrea Cossu
, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Tinne Tuytelaars, Davide Bacciu:
Continual pre-training mitigates forgetting in language and vision. Neural Networks 179: 106492 (2024)- [j60]Li Liu, Timothy M. Hospedales, Yann LeCun, Mingsheng Long, Jiebo Luo, Wanli Ouyang, Matti Pietikäinen, Tinne Tuytelaars:
Editorial: Learning With Fewer Labels in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1319-1326 (2024) - [j59]Timm Hess, Eli Verwimp, Gido M. van de Ven, Tinne Tuytelaars:
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting. Trans. Mach. Learn. Res. 2024 (2024) - [j58]Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 2024 (2024) - [j57]Yuqing Yang, Boris Joukovsky, José Oramas Mogrovejo, Tinne Tuytelaars, Nikos Deligiannis:
SNIPPET: A Framework for Subjective Evaluation of Visual Explanations Applied to DeepFake Detection. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 253:1-253:29 (2024) - [c222]Minye Wu, Tinne Tuytelaars:
NeVRF: Neural Video-Based Radiance Fields for Long-Duration Sequences. 3DV 2024: 1177-1187 - [c221]Georgios Kouros, Minye Wu, Sushruth Nagesh, Xianling Zhang, Tinne Tuytelaars:
Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis. CVPR Workshops 2024: 2832-2841 - [c220]Minye Wu, Zehao Wang, Georgios Kouros, Tinne Tuytelaars:
TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video. CVPR 2024: 6487-6496 - [c219]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks. ECCV (88) 2024: 291-308 - [c218]Mingxiao Li, Bo Wan, Marie-Francine Moens, Tinne Tuytelaars:
Animate Your Motion: Turning Still Images into Dynamic Videos. ECCV (66) 2024: 409-425 - [c217]Vladimir Araujo, Marie-Francine Moens, Tinne Tuytelaars:
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models. EMNLP (Findings) 2024: 687-696 - [c216]Zehao Wang, Minye Wu, Yixin Cao, Yubo Ma, Meiqi Chen, Tinne Tuytelaars:
Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation. EMNLP (Findings) 2024: 4681-4704 - [c215]Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven:
Prediction Error-based Classification for Class-Incremental Learning. ICLR 2024 - [c214]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. ICLR 2024 - [c213]Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars, Tong Duy Son:
Driving from Vision through Differentiable Optimal Control. IROS 2024: 2824-2831 - [c212]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Visually-Aware Context Modeling for News Image Captioning. NAACL-HLT 2024: 2927-2943 - [c211]Bo Wan, Tinne Tuytelaars:
Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levels. WACV 2024: 1794-1804 - [c210]Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Contrastive Learning for Multi-Object Tracking with Transformers. WACV 2024: 6853-6863 - [d1]Yuanyuan Yao, Axel Stebner, Tinne Tuytelaars, Simon Geirnaert, Alexander Bertrand:
Video-EEG Encoding-Decoding Dataset KU Leuven. Zenodo, 2024
- [i134]Abhishek Jha, Matthew B. Blaschko, Yuki M. Asano, Tinne Tuytelaars:
The Common Stability Mechanism behind most Self-Supervised Learning Approaches. CoRR abs/2402.14957 (2024) - [i133]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks. CoRR abs/2403.09377 (2024) - [i132]Mingxiao Li, Bo Wan, Marie-Francine Moens, Tinne Tuytelaars:
Animate Your Motion: Turning Still Images into Dynamic Videos. CoRR abs/2403.10179 (2024) - [i131]Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars, Tong Duy Son:
Learning from Visual Demonstrations through Differentiable Nonlinear MPC for Personalized Autonomous Driving. CoRR abs/2403.15102 (2024) - [i130]Georgios Kouros, Minye Wu, Sushruth Nagesh, Xianling Zhang, Tinne Tuytelaars:
Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis. CoRR abs/2404.12819 (2024) - [i129]Maria Mihaela Trusca, Wolf Nuyts, Jonathan Thomm, Robert Honig, Thomas Hofmann, Tinne Tuytelaars, Marie-Francine Moens:
Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control. CoRR abs/2404.13766 (2024) - [i128]Maria Mihaela Trusca, Tinne Tuytelaars, Marie-Francine Moens:
DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images. CoRR abs/2404.18020 (2024) - [i127]Guy Hacohen, Tinne Tuytelaars:
Forgetting Order of Continual Learning: Examples That are Learned First are Forgotten Last. CoRR abs/2406.09935 (2024) - [i126]Thomas Stegmüller, Tim Lebailly, Nikola Dukic, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran:
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation. CoRR abs/2406.16085 (2024) - [i125]Vladimir Araujo, Marie-Francine Moens, Tinne Tuytelaars:
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models. CoRR abs/2408.09053 (2024) - [i124]Manuele Rusci, Francesco Paci, Marco Fariselli, Eric Flamand, Tinne Tuytelaars:
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors. CoRR abs/2408.12481 (2024) - [i123]Zehao Wang, Han Zhou, Matthew B. Blaschko, Tinne Tuytelaars, Minye Wu:
Redundancy-Aware Camera Selection for Indoor Scene Neural Rendering. CoRR abs/2409.07098 (2024) - [i122]Zehao Wang, Minye Wu, Yixin Cao, Yubo Ma, Meiqi Chen, Tinne Tuytelaars:
Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation. CoRR abs/2409.17313 (2024) - [i121]Abhishek Jha, Tinne Tuytelaars:
Analysis of Spatial augmentation in Self-supervised models in the purview of training and test distributions. CoRR abs/2409.18228 (2024) - [i120]Emanuele Sansone, Tim Lebailly, Tinne Tuytelaars:
Failure-Proof Non-Contrastive Self-Supervised Learning. CoRR abs/2410.04959 (2024) - [i119]Tingyu Qu, Mingxiao Li, Tinne Tuytelaars, Marie-Francine Moens:
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models. CoRR abs/2411.11066 (2024) - 2023
- [j56]Manuele Rusci, Tinne Tuytelaars:
On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples. IEEE Micro 43(6): 50-57 (2023) - [j55]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) - [j54]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) - [j53]Yu Liu, Tinne Tuytelaars:
Residual Tuning: Toward Novel Category Discovery Without Labels. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7271-7285 (2023) - [c209]Mingxiao Li, Zehao Wang, Tinne Tuytelaars, Marie-Francine Moens:
Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding. AAAI 2023: 1386-1395 - [c208]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 - [c207]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 - [c206]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 - [c205]Gorjan Radevski, Dusan Grujicic, Matthew B. Blaschko, Marie-Francine Moens, Tinne Tuytelaars:
Multimodal Distillation for Egocentric Action Recognition. ICCV 2023: 5190-5201 - [c204]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning. ICCV 2023: 16459-16468 - [c203]Astrid Tempelaere, Leen Van Doorselaer, Jiaqi He, Pieter Verboven, Tinne Tuytelaars, Bart M. Nicolaï:
Deep Learning for Apple Fruit Quality Inspection using X-Ray Imaging. ICCV (Workshops) 2023: 552-560 - [c202]Matthias De Lange, Gido M. van de Ven, Tinne Tuytelaars:
Continual evaluation for lifelong learning: Identifying the stability gap. ICLR 2023 - [c201]Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He:
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning. ICLR 2023 - [c200]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 - [c199]Manuele Rusci, Tinne Tuytelaars:
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems. INTERSPEECH 2023: 2768-2772 - [c198]Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko:
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union. NeurIPS 2023 - [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 - [i118]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) - [i117]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) - [i116]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
Adaptive Similarity Bootstrapping for Self-Distillation. CoRR abs/2303.13606 (2023) - [i115]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) - [i114]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) - [i113]Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven:
Prediction Error-based Classification for Class-Incremental Learning. CoRR abs/2305.18806 (2023) - [i112]Manuele Rusci, Tinne Tuytelaars:
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems. CoRR abs/2306.02161 (2023) - [i111]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) - [i110]Cédric Picron, Tinne Tuytelaars:
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving Sparsity. CoRR abs/2307.01545 (2023) - [i109]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) - [i108]Gorjan Radevski, Dusan Grujicic, Marie-Francine Moens, Matthew B. Blaschko, Tinne Tuytelaars:
Multimodal Distillation for Egocentric Action Recognition. CoRR abs/2307.07483 (2023) - [i107]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Visually-Aware Context Modeling for News Image Captioning. CoRR abs/2308.08325 (2023) - [i106]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) - [i105]Bo Wan, Tinne Tuytelaars:
Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levels. CoRR abs/2309.05069 (2023) - [i104]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. CoRR abs/2310.07855 (2023) - [i103]Zifu Wang, Maxim Berman, Amal Rannen Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko:
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union. CoRR abs/2310.19252 (2023) - [i102]Timm Hess, Tinne Tuytelaars, Gido M. van de Ven:
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How. CoRR abs/2311.04898 (2023) - [i101]Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Contrastive Learning for Multi-Object Tracking with Transformers. CoRR abs/2311.08043 (2023) - [i100]Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning: Applications and the Road Forward. CoRR abs/2311.11908 (2023) - [i99]Sergi Masip, Pau Rodríguez, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning of Diffusion Models with Generative Distillation. CoRR abs/2311.14028 (2023) - [i98]Minye Wu, Tinne Tuytelaars:
NeVRF: Neural Video-based Radiance Fields for Long-duration Sequences. CoRR abs/2312.05855 (2023) - [i97]Minye Wu, Zehao Wang, Georgios Kouros, Tinne Tuytelaars:
TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video. CoRR abs/2312.06713 (2023) - [i96]Teodora Popordanoska, Gorjan Radevski, Tinne Tuytelaars, Matthew B. Blaschko:
Estimating calibration error under label shift without labels. CoRR abs/2312.08586 (2023) - [i95]Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge:
Disentangled Continual Learning: Separating Memory Edits from Model Updates. CoRR abs/2312.16731 (2023) - [i94]Tinne Tuytelaars, Bing Liu, Vincenzo Lomonaco, Gido van de Ven, Andrea Cossu:
Deep Continual Learning (Dagstuhl Seminar 23122). Dagstuhl Reports 13(3): 74-91 (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]