Thomas Mensink

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 58

Top Venues

Grenoble Alpes University, France (PHD)

Education History

Grenoble Alpes University, France

PHD

Publications

Tim Salimans, Thomas Mensink, Jonathan Heek, Emiel Hoogeboom
Multistep Distillation of Diffusion Models via Moment Matching. CoRR (2024)
Lluís Castrejón, Thomas Mensink, Howard Zhou, Vittorio Ferrari, André Araújo, Jasper R. R. Uijlings
HAMMR: HierArchical MultiModal React agents for generic VQA. CoRR (2024)
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 Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
Scaling Vision Transformers to 22 Billion Parameters. CoRR (2023)
Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejon, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araujo, Vittorio Ferrari
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. ICCV (2023)
Thomas Mensink, Pascal Mettes
Infinite Class Mixup. CoRR (2023)
Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araujo, Vittorio Ferrari
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. CoRR (2023)
Thomas Mensink, Pascal Mettes
Infinite Class Mixup. BMVC (2023)
Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink
How (not) to ensemble LVLMs for VQA. ICBINB (2023)
Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink
How (not) to ensemble LVLMs for VQA. CoRR (2023)
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)
Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
The Missing Link: Finding Label Relations Across Datasets. ECCV (8) (2022)
Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink
Transferability Estimation using Bhattacharyya Class Separability. CVPR (2022)
Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
How Stable Are Transferability Metrics Evaluations? ECCV (34) (2022)
Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
Transferability Metrics for Selecting Source Model Ensembles. CVPR (2022)
Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
How stable are Transferability Metrics evaluations? CoRR (2022)
Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
The Missing Link: Finding label relations across datasets. CoRR (2022)
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. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink
Transferability Estimation using Bhattacharyya Class Separability. CoRR (2021)
Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
Calibration of Neural Networks using Splines. ICLR (2021)
Hoang-An Le, Thomas Mensink, Partha Das, Sezer Karaoglu, Theo Gevers
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes. WACV (2021)
Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari
Transferability Metrics for Selecting Source Model Ensembles. CoRR (2021)
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
Multi-Loss Weighting with Coefficient of Variations. WACV (2021)
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 (2021)
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 (2021)
Yunlu Chen, Basura Fernando, Hakan Bilen, Thomas Mensink, Efstratios Gavves
Neural Feature Matching in Implicit 3D Representations. ICML (2021)
Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. CoRR (2020)
Hoang-An Le, Thomas Mensink, Partha Das, Theo Gevers
Novel View Synthesis from Single Images via Point Cloud Transformation. BMVC (2020)
Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. CoRL (2020)
Hoang-An Le, Thomas Mensink, Partha Das, Theo Gevers
Novel View Synthesis from Single Images via Point Cloud Transformation. CoRR (2020)
Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
Calibration of Neural Networks using Splines. CoRR (2020)
Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek
PointMixup: Augmentation for Point Clouds. CoRR (2020)
Hoang-An Le, Thomas Mensink, Partha Das, Sezer Karaoglu, Theo Gevers
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes. CoRR (2020)
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
Multi-Loss Weighting with Coefficient of Variations. CoRR (2020)
Amir Rahimi, Kartik Gupta, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
Post-hoc Calibration of Neural Networks. CoRR (2020)
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
On the benefit of adversarial training for monocular depth estimation. Comput. Vis. Image Underst. 190 (2020)
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)
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
On the Benefit of Adversarial Training for Monocular Depth Estimation. CoRR (2019)
Yunlu Chen, Thomas Mensink, Efstratios Gavves
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. CoRR (2019)
Yunlu Chen, Thomas Mensink, Efstratios Gavves
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. 3DV (2019)
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
Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. ACM Multimedia (2019)
Spencer Cappallo, Stacey Svetlichnaya, Pierre Garrigues, Thomas Mensink, Cees G. M. Snoek
New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval. IEEE Trans. Multim. 21 (2) (2019)
Ysbrand Galama, Thomas Mensink
IterGANs: Iterative GANs to learn and control 3D object transformation. Comput. Vis. Image Underst. 189 (2019)
Samantha Guerriero, Barbara Caputo, Thomas Mensink
DeepNCM: Deep Nearest Class Mean Classifiers. ICLR (Workshop) (2018)
Hoang-An Le, Anil S. Baslamisli, Thomas Mensink, Theo Gevers
Three for one and one for three: Flow, Segmentation, and Surface Normals. CoRR (2018)
Spencer Cappallo, Stacey Svetlichnaya, Pierre Garrigues, Thomas Mensink, Cees G. M. Snoek
The New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval. CoRR (2018)
Hoang-An Le, Anil S. Baslamisli, Thomas Mensink, Theo Gevers
Three for one and one for three: Flow, Segmentation, and Surface Normals. BMVC (2018)
Lamberto Ballan, Shih-Fu Chang, Gang Hua, Thomas Mensink, Greg Mori, Rahul Sukthankar
Guest Editorial. Comput. Vis. Image Underst. 173 (2018)
Hoang-An Le, Tushar Nimbhorkar, Thomas Mensink, Anil S. Baslamisli, Sezer Karaoglu, Theo Gevers
Unsupervised Generation of Optical Flow Datasets from Videos in the Wild. CoRR (2018)
Ysbrand Galama, Thomas Mensink
Iterative GANs for Rotating Visual Objects. ICLR (Workshop) (2018)
Ysbrand Galama, Thomas Mensink
IterGANs: Iterative GANs to Learn and Control 3D Object Transformation. CoRR (2018)
AmirHossein Habibian, Thomas Mensink, Cees G. M. Snoek
Video2vec Embeddings Recognize Events When Examples Are Scarce. IEEE Trans. Pattern Anal. Mach. Intell. 39 (10) (2017)
Thomas Mensink, Thomas Jongstra, Pascal Mettes, Cees G. M. Snoek
Music-Guided Video Summarization using Quadratic Assignments. ICMR (2017)
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)
Thomas Mensink
Learning to Reuse Visual Knowledge. MADiMa @ ACM Multimedia (2016)
Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
Video Stream Retrieval of Unseen Queries using Semantic Memory. CoRR (2016)
Svetlana Kordumova, Thomas Mensink, Cees G. M. Snoek
Pooling Objects for Recognizing Scenes without Examples. ICMR (2016)
Rocco De Rosa, Thomas Mensink, Barbara Caputo
Online Open World Recognition. CoRR (2016)
Spencer Cappallo, Thomas Mensink, Cees Snoek
Video Stream Retrieval of Unseen Queries using Semantic Memory. BMVC (2016)
Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek
Objects2action: Classifying and Localizing Actions without Any Video Example. ICCV (2015)
AmirHossein Habibian, Thomas Mensink, Cees G. M. Snoek
VideoStory Embeddings Recognize Events when Examples are Scarce. CoRR (2015)
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 (2015)
Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek
Objects2action: Classifying and localizing actions without any video example. CoRR (2015)
Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
Image2Emoji: Zero-shot Emoji Prediction for Visual Media. ACM Multimedia (2015)
Markus Nagel, Thomas Mensink, Cees G. M. Snoek
Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams. BMVC (2015)
Pascal Mettes, Jan C. van Gemert, Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
Bag-of-Fragments: Selecting and Encoding Video Fragments for Event Detection and Recounting. ICMR (2015)
AmirHossein Habibian, Thomas Mensink, Cees G. M. Snoek
Discovering Semantic Vocabularies for Cross-Media Retrieval. ICMR (2015)
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. ICCV (2015)
Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
Query-by-Emoji Video Search. ACM Multimedia (2015)
Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
Latent Factors of Visual Popularity Prediction. ICMR (2015)
Thomas Mensink, Efstratios Gavves, Cees G. M. Snoek
COSTA: Co-Occurrence Statistics for Zero-Shot Classification. CVPR (2014)
Thomas Mensink, Jan C. van Gemert
The Rijksmuseum Challenge: Museum-Centered Visual Recognition. ICMR (2014)
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)
AmirHossein Habibian, Thomas Mensink, Cees G. M. Snoek
Composite Concept Discovery for Zero-Shot Video Event Detection. ICMR (2014)
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)
Ivo Everts, Jan C. van Gemert, Thomas Mensink, Theo Gevers
Robustifying Descriptor Instability Using Fisher Vectors. IEEE Trans. Image Process. 23 (12) (2014)
Zhenyang Li, Efstratios Gavves, Thomas Mensink, Cees G. M. Snoek
Attributes Make Sense on Segmented Objects. ECCV (6) (2014)
AmirHossein Habibian, Thomas Mensink, Cees G. M. Snoek
VideoStory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events. ACM Multimedia (2014)
Jorge Sánchez, Florent Perronnin, Thomas Mensink, Jakob J. Verbeek
Image Classification with the Fisher Vector: Theory and Practice. Int. J. Comput. Vis. 105 (3) (2013)
Thomas Mensink, Jakob J. Verbeek, Gabriela Csurka
Tree-Structured CRF Models for Interactive Image Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 35 (2) (2013)
Thomas Mensink, Jakob J. Verbeek, Florent Perronnin, Gabriela Csurka
Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost. IEEE Trans. Pattern Anal. Mach. Intell. 35 (11) (2013)
Thomas Mensink, Jakob J. Verbeek, Florent Perronnin, Gabriela Csurka
Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost. ECCV (2) (2012)
Matthieu Guillaumin, Thomas Mensink, Jakob J. Verbeek, Cordelia Schmid
Face Recognition from Caption-Based Supervision. Int. J. Comput. Vis. 96 (1) (2012)
Thomas Mensink, Jakob J. Verbeek, Gabriela Csurka
Learning structured prediction models for interactive image labeling. CVPR (2011)
Thomas Mensink, Jakob J. Verbeek, Bert Kappen
EP for Efficient Stochastic Control with Obstacles. ECAI (2010)
Thomas Mensink, Gabriela Csurka, Florent Perronnin, Jorge Sánchez, Jakob J. Verbeek
LEAR and XRCE's Participation to Visual Concept Detection Task - ImageCLEF 2010. CLEF (Notebook Papers/LABs/Workshops) (2010)
Thomas Mensink, Jakob J. Verbeek, Gabriela Csurka
Trans Media Relevance Feedback for Image Autoannotation. BMVC (2010)
Jakob J. Verbeek, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid
Image annotation with tagprop on the MIRFLICKR set. Multimedia Information Retrieval (2010)
Florent Perronnin, Jorge Sánchez, Thomas Mensink
Improving the Fisher Kernel for Large-Scale Image Classification. ECCV (4) (2010)
Matthieu Guillaumin, Thomas Mensink, Jakob J. Verbeek, Cordelia Schmid
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. ICCV (2009)
Matthijs Douze, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid, Jakob J. Verbeek
INRIA-LEAR's Participation in ImageCLEF 2009. CLEF (Working Notes) (2009)
Thomas Mensink, Jakob J. Verbeek
Improving People Search Using Query Expansions. ECCV (2) (2008)
Matthieu Guillaumin, Thomas Mensink, Jakob J. Verbeek, Cordelia Schmid
Automatic face naming with caption-based supervision. CVPR (2008)
Thomas Mensink, Wojciech Zajdel, Ben J. A. Kröse
Distributed EM Learning for Appearance Based Multi-Camera Tracking. ICDSC (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thomas Mensink