Thomas Mensink

100 papers A* 18A 9B 7Misc 1Journal 44Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMD.
CoRR
Emiel Hoogeboom, David Ruhe, Jonathan Heek, Thomas Mensink, Tim Salimans
2026 J jnl
Unified Latents (UL): How to train your latents.
CoRR
Jonathan Heek, Emiel Hoogeboom, Thomas Mensink, Tim Salimans
2025 A* conf
Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion.
CVPR
Emiel Hoogeboom, Thomas Mensink, Jonathan Heek, Kay Lamerigts, Ruiqi Gao, Tim Salimans
2024 J jnl
HAMMR: HierArchical MultiModal React agents for generic VQA.
CoRR
Lluís Castrejón, Thomas Mensink, Howard Zhou, Vittorio Ferrari, André Araújo, Jasper R. R. Uijlings
2024 A* conf
Multistep Distillation of Diffusion Models via Moment Matching.
NeurIPS
Tim Salimans, Thomas Mensink, Jonathan Heek, Emiel Hoogeboom
2024 J jnl
Multistep Distillation of Diffusion Models via Moment Matching.
CoRR
Tim Salimans, Thomas Mensink, Jonathan Heek, Emiel Hoogeboom
2024 J jnl
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion.
CoRR
Emiel Hoogeboom, Thomas Mensink, Jonathan Heek, Kay Lamerigts, Ruiqi Gao, Tim Salimans
2023 A* conf
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories.
ICCV
Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari
2023 J jnl
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories.
CoRR
Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari
2023 — conf
How (not) to ensemble LVLMs for VQA.
ICBINB
Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink
2023 J jnl
How (not) to ensemble LVLMs for VQA.
CoRR
Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink
2023 A conf
Infinite Class Mixup.
BMVC
Thomas Mensink, Pascal Mettes
2023 J jnl
Infinite Class Mixup.
CoRR
Thomas Mensink, Pascal Mettes
2023 A* conf
Scaling Vision Transformers to 22 Billion Parameters.
ICML
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
2023 J jnl
Scaling Vision Transformers to 22 Billion Parameters.
CoRR
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, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick 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 Harmsen, Neil Houlsby
2022 J jnl
Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types.
IEEE Trans. Pattern Anal. Mach. Intell.
Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari
2022 — conf
How Stable Are Transferability Metrics Evaluations?
ECCV (34)
Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
2022 J jnl
How stable are Transferability Metrics evaluations?
CoRR
Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
2022 — conf
The Missing Link: Finding Label Relations Across Datasets.
ECCV (8)
Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
2022 J jnl
The Missing Link: Finding label relations across datasets.
CoRR
Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
2022 A* conf
Transferability Estimation using Bhattacharyya Class Separability.
CVPR
Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink
2022 A* conf
Transferability Metrics for Selecting Source Model Ensembles.
CVPR
Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
2021 J jnl
Automatic generation of dense non-rigid optical flow.
Comput. Vis. Image Underst.
Hoang-An Le, Tushar Nimbhorkar, Thomas Mensink, Anil S. Baslamisli, Sezer Karaoglu, Theo Gevers
2021 A* conf
Calibration of Neural Networks using Splines.
ICLR
Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
2021 A conf
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes.
WACV
Hoang-An Le, Thomas Mensink, Partha Das, Sezer Karaoglu, Theo Gevers
2021 J jnl
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types.
CoRR
Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari
2021 A conf
Multi-Loss Weighting with Coefficient of Variations.
WACV
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
2021 A* conf
Neural Feature Matching in Implicit 3D Representations.
ICML
Yunlu Chen, Basura Fernando, Hakan Bilen, Thomas Mensink, Efstratios Gavves
2021 J jnl
Transferability Estimation using Bhattacharyya Class Separability.
CoRR
Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink
2021 J jnl
Transferability Metrics for Selecting Source Model Ensembles.
CoRR
Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
2020 J jnl
Calibration of Neural Networks using Splines.
CoRR
Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
2020 J jnl
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes.
CoRR
Hoang-An Le, Thomas Mensink, Partha Das, Sezer Karaoglu, Theo Gevers
2020 J jnl
Multi-Loss Weighting with Coefficient of Variations.
CoRR
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
2020 A conf
Novel View Synthesis from Single Images via Point Cloud Transformation.
BMVC
Hoang-An Le, Thomas Mensink, Partha Das, Theo Gevers
2020 J jnl
Novel View Synthesis from Single Images via Point Cloud Transformation.
CoRR
Hoang-An Le, Thomas Mensink, Partha Das, Theo Gevers
2020 J jnl
On the benefit of adversarial training for monocular depth estimation.
Comput. Vis. Image Underst.
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
2020 — conf
PointMixup: Augmentation for Point Clouds.
ECCV (3)
Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek
2020 J jnl
PointMixup: Augmentation for Point Clouds.
CoRR
Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek
2020 J jnl
Post-hoc Calibration of Neural Networks.
CoRR
Amir Rahimi, Kartik Gupta, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
2020 Misc conf
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection.
CoRL
Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
2020 J jnl
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection.
CoRR
Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
2019 — conf
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation.
3DV
Yunlu Chen, Thomas Mensink, Efstratios Gavves
2019 J jnl
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation.
CoRR
Yunlu Chen, Thomas Mensink, Efstratios Gavves
2019 A* conf
Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching.
ACM Multimedia
Sarah Ibrahimi, Shuo Chen, Devanshu Arya, Arthur Câmara, Yunlu Chen, Tanja Crijns, Maurits van der Goes, Thomas Mensink, Emiel van Miltenburg, Daan Odijk, William Thong, Jiaojiao Zhao, Pascal Mettes
2019 J jnl
IterGANs: Iterative GANs to learn and control 3D object transformation.
Comput. Vis. Image Underst.
Ysbrand Galama, Thomas Mensink
2019 J jnl
New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval.
IEEE Trans. Multim.
Spencer Cappallo, Stacey Svetlichnaya, Pierre Garrigues, Thomas Mensink, Cees G. M. Snoek
2019 J jnl
On the Benefit of Adversarial Training for Monocular Depth Estimation.
CoRR
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
2018 — conf
DeepNCM: Deep Nearest Class Mean Classifiers.
ICLR (Workshop)
Samantha Guerriero, Barbara Caputo, Thomas Mensink
2018 J jnl
Guest Editorial.
Comput. Vis. Image Underst.
Lamberto Ballan, Shih-Fu Chang, Gang Hua, Thomas Mensink, Greg Mori, Rahul Sukthankar
2018 J jnl
IterGANs: Iterative GANs to Learn and Control 3D Object Transformation.
CoRR
Ysbrand Galama, Thomas Mensink
2018 — conf
Iterative GANs for Rotating Visual Objects.
ICLR (Workshop)
Ysbrand Galama, Thomas Mensink
2018 J jnl
The New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval.
CoRR
Spencer Cappallo, Stacey Svetlichnaya, Pierre Garrigues, Thomas Mensink, Cees G. M. Snoek
2018 A conf
Three for one and one for three: Flow, Segmentation, and Surface Normals.
BMVC
Hoang-An Le, Anil S. Baslamisli, Thomas Mensink, Theo Gevers
2018 J jnl
Three for one and one for three: Flow, Segmentation, and Surface Normals.
CoRR
Hoang-An Le, Anil S. Baslamisli, Thomas Mensink, Theo Gevers
2018 J jnl
Unsupervised Generation of Optical Flow Datasets from Videos in the Wild.
CoRR
Hoang-An Le, Tushar Nimbhorkar, Thomas Mensink, Anil S. Baslamisli, Sezer Karaoglu, Theo Gevers
2017 B conf
Music-Guided Video Summarization using Quadratic Assignments.
ICMR
Thomas Mensink, Thomas Jongstra, Pascal Mettes, Cees G. M. Snoek
2017 — conf
Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video.
CVPR Workshops
Robert C. Bolles, J. Brian Burns, Martin Graciarena, Andreas Kathol, Aaron Lawson, Mitchell McLaren, Thomas Mensink
2017 J jnl
Video2vec Embeddings Recognize Events When Examples Are Scarce.
IEEE Trans. Pattern Anal. Mach. Intell.
Amirhossein Habibian, Thomas Mensink, Cees G. M. Snoek
2016 — conf
Learning to Reuse Visual Knowledge.
MADiMa @ ACM Multimedia
Thomas Mensink
2016 J jnl
Online Open World Recognition.
CoRR
Rocco De Rosa, Thomas Mensink, Barbara Caputo
2016 B conf
Pooling Objects for Recognizing Scenes without Examples.
ICMR
Svetlana Kordumova, Thomas Mensink, Cees G. M. Snoek
2016 A conf
Video Stream Retrieval of Unseen Queries using Semantic Memory.
BMVC
Spencer Cappallo, Thomas Mensink, Cees Snoek
2016 J jnl
Video Stream Retrieval of Unseen Queries using Semantic Memory.
CoRR
Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
2015 A* conf
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks.
ICCV
Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars
2015 J jnl
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks.
CoRR
Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars
2015 B conf
Bag-of-Fragments: Selecting and Encoding Video Fragments for Event Detection and Recounting.
ICMR
Pascal Mettes, Jan C. van Gemert, Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
2015 B conf
Discovering Semantic Vocabularies for Cross-Media Retrieval.
ICMR
Amirhossein Habibian, Thomas Mensink, Cees G. M. Snoek
2015 A conf
Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams.
BMVC
Markus Nagel, Thomas Mensink, Cees G. M. Snoek
2015 A* conf
Image2Emoji: Zero-shot Emoji Prediction for Visual Media.
ACM Multimedia
Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
2015 B conf
Latent Factors of Visual Popularity Prediction.
ICMR
Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
2015 A* conf
Objects2action: Classifying and Localizing Actions without Any Video Example.
ICCV
Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek
2015 J jnl
Objects2action: Classifying and localizing actions without any video example.
CoRR
Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek
2015 A* conf
Query-by-Emoji Video Search.
ACM Multimedia
Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
2015 J jnl
VideoStory Embeddings Recognize Events when Examples are Scarce.
CoRR
Amirhossein Habibian, Thomas Mensink, Cees G. M. Snoek
2014 — conf
Attributes Make Sense on Segmented Objects.
ECCV (6)
Zhenyang Li, Efstratios Gavves, Thomas Mensink, Cees G. M. Snoek
2014 A* conf
COSTA: Co-Occurrence Statistics for Zero-Shot Classification.
CVPR
Thomas Mensink, Efstratios Gavves, Cees G. M. Snoek
2014 B conf
Composite Concept Discovery for Zero-Shot Video Event Detection.
ICMR
Amirhossein Habibian, Thomas Mensink, Cees G. M. Snoek
2014 — conf
MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video.
TRECVID
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
2014 J jnl
Robustifying Descriptor Instability Using Fisher Vectors.
IEEE Trans. Image Process.
Ivo Everts, Jan C. van Gemert, Thomas Mensink, Theo Gevers
2014 — conf
The 2014 SESAME Multimedia Event Detection and Recounting System.
TRECVID
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
2014 B conf
The Rijksmuseum Challenge: Museum-Centered Visual Recognition.
ICMR
Thomas Mensink, Jan C. van Gemert
2014 A* conf
VideoStory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events.
ACM Multimedia
Amirhossein Habibian, Thomas Mensink, Cees G. M. Snoek
2013 J jnl
Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost.
IEEE Trans. Pattern Anal. Mach. Intell.
Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka
2013 J jnl
Image Classification with the Fisher Vector: Theory and Practice.
Int. J. Comput. Vis.
Jorge Sánchez, Florent Perronnin, Thomas Mensink, Jakob Verbeek
2013 — ch.
Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets.
Advanced Topics in Computer Vision
Thomas Mensink, Jakob Verbeek, Florent Perronnin
2013 J jnl
Tree-Structured CRF Models for Interactive Image Labeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Thomas Mensink, Jakob Verbeek, Gabriela Csurka
2012 J jnl
Face Recognition from Caption-Based Supervision.
Int. J. Comput. Vis.
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid
2012 — —
Learning Image Classification and Retrieval Models. (Apprentissage de Modèles pour la Classification et la Recherche d'Images).
Thomas Mensink
2012 — conf
Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost.
ECCV (2)
Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka
2011 A* conf
Learning structured prediction models for interactive image labeling.
CVPR
Thomas Mensink, Jakob Verbeek, Gabriela Csurka
2010 A conf
EP for Efficient Stochastic Control with Obstacles.
ECAI
Thomas Mensink, Jakob Verbeek, Bert Kappen
2010 — conf
Image annotation with tagprop on the MIRFLICKR set.
Multimedia Information Retrieval
Jakob Verbeek, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid
2010 — conf
Improving the Fisher Kernel for Large-Scale Image Classification.
ECCV (4)
Florent Perronnin, Jorge Sánchez, Thomas Mensink
2010 — conf
LEAR and XRCE's Participation to Visual Concept Detection Task - ImageCLEF 2010.
CLEF (Notebook Papers/LABs/Workshops)
Thomas Mensink, Gabriela Csurka, Florent Perronnin, Jorge Sánchez, Jakob Verbeek
2010 A conf
Trans Media Relevance Feedback for Image Autoannotation.
BMVC
Thomas Mensink, Jakob Verbeek, Gabriela Csurka
2009 — conf
INRIA-LEAR's Participation in ImageCLEF 2009.
CLEF (Working Notes)
Matthijs Douze, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid, Jakob Verbeek
2009 A* conf
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation.
ICCV
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid
2008 A* conf
Automatic face naming with caption-based supervision.
CVPR
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid
2008 — conf
Improving People Search Using Query Expansions.
ECCV (2)
Thomas Mensink, Jakob Verbeek
2007 — conf
Distributed EM Learning for Appearance Based Multi-Camera Tracking.
ICDSC
Thomas Mensink, Wojciech Zajdel, Ben J. A. Kröse