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Thomas Mensink
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2020 – today
- 2024
- [i30]Lluís Castrejón, Thomas Mensink, Howard Zhou, Vittorio Ferrari, André Araújo, Jasper R. R. Uijlings:
HAMMR: HierArchical MultiModal React agents for generic VQA. CoRR abs/2404.05465 (2024) - [i29]Tim Salimans, Thomas Mensink, Jonathan Heek, Emiel Hoogeboom:
Multistep Distillation of Diffusion Models via Moment Matching. CoRR abs/2406.04103 (2024) - [i28]Emiel Hoogeboom, Thomas Mensink, Jonathan Heek, Kay Lamerigts, Ruiqi Gao, Tim Salimans:
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion. CoRR abs/2410.19324 (2024) - 2023
- [c52]Thomas Mensink, Pascal Mettes:
Infinite Class Mixup. BMVC 2023: 135-138 - [c51]Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink:
How (not) to ensemble LVLMs for VQA. ICBINB 2023: 1-20 - [c50]Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou
, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. ICCV 2023: 3090-3101 - [c49]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. ICML 2023: 7480-7512 - [i27]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i26]Thomas Mensink, Pascal Mettes:
Infinite Class Mixup. CoRR abs/2305.10293 (2023) - [i25]Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. CoRR abs/2306.09224 (2023) - [i24]Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink:
How (not) to ensemble LVLMs for VQA. CoRR abs/2310.06641 (2023) - 2022
- [j12]Thomas Mensink
Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9298-9314 (2022) - [c48]Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
Transferability Metrics for Selecting Source Model Ensembles. CVPR 2022: 7926-7936 - [c47]Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink:
Transferability Estimation using Bhattacharyya Class Separability. CVPR 2022: 9162-9172 - [c46]Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
How Stable Are Transferability Metrics Evaluations? ECCV (34) 2022: 303-321 - [c45]Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
The Missing Link: Finding Label Relations Across Datasets. ECCV (8) 2022: 540-556 - [i23]Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
How stable are Transferability Metrics evaluations? CoRR abs/2204.01403 (2022) - [i22]Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
The Missing Link: Finding label relations across datasets. CoRR abs/2206.04453 (2022) - 2021
- [j11]Hoang-An Le, Tushar Nimbhorkar, Thomas Mensink, Anil S. Baslamisli, Sezer Karaoglu, Theo Gevers:
Automatic generation of dense non-rigid optical flow. Comput. Vis. Image Underst. 212: 103274 (2021) - [c44]Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley:
Calibration of Neural Networks using Splines. ICLR 2021 - [c43]Yunlu Chen, Basura Fernando, Hakan Bilen
Neural Feature Matching in Implicit 3D Representations. ICML 2021: 1582-1593 - [c42]Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink:
Multi-Loss Weighting with Coefficient of Variations. WACV 2021: 1468-1477 - [c41]Hoang-An Le, Thomas Mensink, Partha Das
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes. WACV 2021: 1578-1588 - [i21]Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari:
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types. CoRR abs/2103.13318 (2021) - [i20]Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink:
Transferability Estimation using Bhattacharyya Class Separability. CoRR abs/2111.12780 (2021) - [i19]Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
Transferability Metrics for Selecting Source Model Ensembles. CoRR abs/2111.13011 (2021) - 2020
- [j10]Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
On the benefit of adversarial training for monocular depth estimation. Comput. Vis. Image Underst. 190 (2020) - [c40]Hoang-An Le, Thomas Mensink, Partha Das, Theo Gevers:
Novel View Synthesis from Single Images via Point Cloud Transformation. BMVC 2020 - [c39]Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu:
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. CoRL 2020: 627-641 - [c38]Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek:
PointMixup: Augmentation for Point Clouds. ECCV (3) 2020: 330-345 - [i18]Alex Bewley, Pei Sun, Thomas Mensink
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. CoRR abs/2005.09927 (2020) - [i17]Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink
Calibration of Neural Networks using Splines. CoRR abs/2006.12800 (2020) - [i16]Amir Rahimi, Kartik Gupta, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley:
Post-hoc Calibration of Neural Networks. CoRR abs/2006.12807 (2020) - [i15]Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink
PointMixup: Augmentation for Point Clouds. CoRR abs/2008.06374 (2020) - [i14]Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
Multi-Loss Weighting with Coefficient of Variations. CoRR abs/2009.01717 (2020) - [i13]Hoang-An Le, Thomas Mensink
Novel View Synthesis from Single Images via Point Cloud Transformation. CoRR abs/2009.08321 (2020) - [i12]Hoang-An Le, Thomas Mensink
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes. CoRR abs/2011.04389 (2020)
2010 – 2019
- 2019
- [j9]Ysbrand Galama, Thomas Mensink
IterGANs: Iterative GANs to learn and control 3D object transformation. Comput. Vis. Image Underst. 189 (2019) - [j8]Spencer Cappallo
New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval. IEEE Trans. Multim. 21(2): 402-415 (2019) - [c37]Yunlu Chen, Thomas Mensink, Efstratios Gavves:
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. 3DV 2019: 173-182 - [c36]Sarah Ibrahimi, Shuo Chen, Devanshu Arya, Arthur Câmara
Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. ACM Multimedia 2019: 2196-2198 - [i11]Yunlu Chen, Thomas Mensink
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. CoRR abs/1910.01460 (2019) - [i10]Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
On the Benefit of Adversarial Training for Monocular Depth Estimation. CoRR abs/1910.13340 (2019) - 2018
- [j7]Lamberto Ballan, Shih-Fu Chang, Gang Hua, Thomas Mensink
Guest Editorial. Comput. Vis. Image Underst. 173: 1 (2018) - [c35]Hoang-An Le, Anil S. Baslamisli, Thomas Mensink, Theo Gevers:
Three for one and one for three: Flow, Segmentation, and Surface Normals. BMVC 2018: 145 - [c34]Ysbrand Galama, Thomas Mensink:
Iterative GANs for Rotating Visual Objects. ICLR (Workshop) 2018 - [c33]Samantha Guerriero, Barbara Caputo, Thomas Mensink:
DeepNCM: Deep Nearest Class Mean Classifiers. ICLR (Workshop) 2018 - [i9]Spencer Cappallo, Stacey Svetlichnaya, Pierre Garrigues, Thomas Mensink, Cees G. M. Snoek:
The New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval. CoRR abs/1801.10253 (2018) - [i8]Ysbrand Galama, Thomas Mensink
IterGANs: Iterative GANs to Learn and Control 3D Object Transformation. CoRR abs/1804.05651 (2018) - [i7]Hoang-An Le, Anil S. Baslamisli, Thomas Mensink
Three for one and one for three: Flow, Segmentation, and Surface Normals. CoRR abs/1807.07473 (2018) - [i6]Hoang-An Le, Tushar Nimbhorkar, Thomas Mensink, Anil S. Baslamisli
Unsupervised Generation of Optical Flow Datasets from Videos in the Wild. CoRR abs/1812.01946 (2018) - 2017
- [j6]AmirHossein Habibian, Thomas Mensink
Video2vec Embeddings Recognize Events When Examples Are Scarce. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 2089-2103 (2017) - [c32]Robert C. Bolles, J. Brian Burns, Martin Graciarena, Andreas Kathol, Aaron Lawson, Mitchell McLaren, Thomas Mensink
Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video. CVPR Workshops 2017: 1907-1914 - [c31]Thomas Mensink
Music-Guided Video Summarization using Quadratic Assignments. ICMR 2017: 58-64 - 2016
- [c30]Spencer Cappallo, Thomas Mensink, Cees Snoek:
Video Stream Retrieval of Unseen Queries using Semantic Memory. BMVC 2016 - [c29]Svetlana Kordumova, Thomas Mensink
Pooling Objects for Recognizing Scenes without Examples. ICMR 2016: 143-150 - [c28]Thomas Mensink:
Learning to Reuse Visual Knowledge. MADiMa @ ACM Multimedia 2016: 51 - [i5]Rocco De Rosa, Thomas Mensink, Barbara Caputo:
Online Open World Recognition. CoRR abs/1604.02275 (2016) - [i4]Spencer Cappallo, Thomas Mensink
Video Stream Retrieval of Unseen Queries using Semantic Memory. CoRR abs/1612.06753 (2016) - 2015
- [c27]Markus Nagel, Thomas Mensink, Cees G. M. Snoek:
Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams. BMVC 2015: 178.1-178.12 - [c26]Efstratios Gavves, Thomas Mensink
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. ICCV 2015: 2731-2739 - [c25]Mihir Jain, Jan C. van Gemert, Thomas Mensink
Objects2action: Classifying and Localizing Actions without Any Video Example. ICCV 2015: 4588-4596 - [c24]AmirHossein Habibian, Thomas Mensink
Discovering Semantic Vocabularies for Cross-Media Retrieval. ICMR 2015: 131-138 - [c23]Spencer Cappallo, Thomas Mensink
Latent Factors of Visual Popularity Prediction. ICMR 2015: 195-202 - [c22]Pascal Mettes, Jan C. van Gemert, Spencer Cappallo, Thomas Mensink
Bag-of-Fragments: Selecting and Encoding Video Fragments for Event Detection and Recounting. ICMR 2015: 427-434 - [c21]Spencer Cappallo, Thomas Mensink
Query-by-Emoji Video Search. ACM Multimedia 2015: 735-736 - [c20]Spencer Cappallo, Thomas Mensink
Image2Emoji: Zero-shot Emoji Prediction for Visual Media. ACM Multimedia 2015: 1311-1314 - [i3]Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars:
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. CoRR abs/1510.01544 (2015) - [i2]Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek:
Objects2action: Classifying and localizing actions without any video example. CoRR abs/1510.06939 (2015) - [i1]AmirHossein Habibian, Thomas Mensink, Cees G. M. Snoek:
VideoStory Embeddings Recognize Events when Examples are Scarce. CoRR abs/1511.02492 (2015) - 2014
- [j5]Ivo Everts, Jan C. van Gemert, Thomas Mensink
Robustifying Descriptor Instability Using Fisher Vectors. IEEE Trans. Image Process. 23(12): 5698-5706 (2014) - [c19]Thomas Mensink
COSTA: Co-Occurrence Statistics for Zero-Shot Classification. CVPR 2014: 2441-2448 - [c18]Zhenyang Li, Efstratios Gavves, Thomas Mensink
Attributes Make Sense on Segmented Objects. ECCV (6) 2014: 350-365 - [c17]AmirHossein Habibian, Thomas Mensink
Composite Concept Discovery for Zero-Shot Video Event Detection. ICMR 2014: 17 - [c16]Thomas Mensink
The Rijksmuseum Challenge: Museum-Centered Visual Recognition. ICMR 2014: 451 - [c15]AmirHossein Habibian, Thomas Mensink
VideoStory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events. ACM Multimedia 2014: 17-26 - [c14]Robert C. Bolles, J. Brian Burns, James A. Herson, Gregory K. Myers, Julien van Hout, Wen Wang, Julie Wong, Eric Yeh, AmirHossein Habibian, Dennis C. Koelma, Thomas Mensink, Arnold W. M. Smeulders, Cees G. M. Snoek, Arnav Aggarwal, Song Cao, Kan Chen, Rama Kovvuri, Ram Nevatia, Pramod Sharma:
The 2014 SESAME Multimedia Event Detection and Recounting System. TRECVID 2014 - [c13]Cees G. M. Snoek, Koen E. A. van de Sande, Daniel Fontijne, Spencer Cappallo, Jan van Gemert, AmirHossein Habibian, Thomas Mensink, Pascal Mettes, Ran Tao, Dennis C. Koelma, Arnold W. M. Smeulders:
MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. TRECVID 2014 - 2013
- [j4]Jorge Sánchez, Florent Perronnin, Thomas Mensink
Image Classification with the Fisher Vector: Theory and Practice. Int. J. Comput. Vis. 105(3): 222-245 (2013) - [j3]Thomas Mensink
Tree-Structured CRF Models for Interactive Image Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 476-489 (2013) - [j2]Thomas Mensink
Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2624-2637 (2013) - [p1]Thomas Mensink, Jakob Verbeek, Florent Perronnin:
Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets. Advanced Topics in Computer Vision 2013: 243-276 - 2012
- [b1]Thomas Mensink:
Learning Image Classification and Retrieval Models. (Apprentissage de Modèles pour la Classification et la Recherche d'Images). Grenoble Alpes University, France, 2012 - [j1]Matthieu Guillaumin, Thomas Mensink
Face Recognition from Caption-Based Supervision. Int. J. Comput. Vis. 96(1): 64-82 (2012) - [c12]Thomas Mensink
Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost. ECCV (2) 2012: 488-501 - 2011
- [c11]Thomas Mensink
Learning structured prediction models for interactive image labeling. CVPR 2011: 833-840 - 2010
- [c10]Thomas Mensink
Trans Media Relevance Feedback for Image Autoannotation. BMVC 2010: 1-12 - [c9]Thomas Mensink, Gabriela Csurka, Florent Perronnin, Jorge Sánchez, Jakob Verbeek:
LEAR and XRCE's Participation to Visual Concept Detection Task - ImageCLEF 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c8]Thomas Mensink
EP for Efficient Stochastic Control with Obstacles. ECAI 2010: 675-680 - [c7]Florent Perronnin, Jorge Sánchez, Thomas Mensink
Improving the Fisher Kernel for Large-Scale Image Classification. ECCV (4) 2010: 143-156 - [c6]Jakob Verbeek, Matthieu Guillaumin, Thomas Mensink
Image annotation with tagprop on the MIRFLICKR set. Multimedia Information Retrieval 2010: 537-546
2000 – 2009
- 2009
- [c5]Matthijs Douze, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid, Jakob Verbeek:
INRIA-LEAR's Participation in ImageCLEF 2009. CLEF (Working Notes) 2009 - [c4]Matthieu Guillaumin, Thomas Mensink
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. ICCV 2009: 309-316 - 2008
- [c3]Matthieu Guillaumin, Thomas Mensink
Automatic face naming with caption-based supervision. CVPR 2008 - [c2]Thomas Mensink, Jakob Verbeek:
Improving People Search Using Query Expansions. ECCV (2) 2008: 86-99 - 2007
- [c1]Thomas Mensink
Distributed EM Learning for Appearance Based Multi-Camera Tracking. ICDSC 2007: 178-185
Coauthor Index
Cees Snoek
aka: Cees G. M. Snoek
aka: Cees G. M. Snoek
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