Distributed EM Learning for Appearance Based Multi-Camera Tracking. - Thomas Mensink; Wojciech Zajdel; Ben J. A. Kröse (ICDSC, 2007)

Automatic face naming with caption-based supervision. - Matthieu Guillaumin; Thomas Mensink; Jakob Verbeek; Cordelia Schmid (CVPR, 2008)

Improving People Search Using Query Expansions. - Thomas Mensink; Jakob Verbeek (ECCV (2), 2008)

INRIA-LEAR's Participation in ImageCLEF 2009. - Matthijs Douze; Matthieu Guillaumin; Thomas Mensink; Cordelia Schmid; Jakob Verbeek (CLEF (Working Notes), 2009)

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. - Matthieu Guillaumin; Thomas Mensink; Jakob Verbeek; Cordelia Schmid (ICCV, 2009)

Trans Media Relevance Feedback for Image Autoannotation. - Thomas Mensink; Jakob Verbeek; Gabriela Csurka (BMVC, 2010)

LEAR and XRCE's Participation to Visual Concept Detection Task - ImageCLEF 2010. - Thomas Mensink; Gabriela Csurka; Florent Perronnin; Jorge Sánchez 002; Jakob Verbeek (CLEF (Notebook Papers/LABs/Workshops), 2010)

EP for Efficient Stochastic Control with Obstacles. - Thomas Mensink; Jakob Verbeek; Bert Kappen (ECAI, 2010)

Improving the Fisher Kernel for Large-Scale Image Classification. - Florent Perronnin; Jorge Sánchez 002; Thomas Mensink (ECCV (4), 2010)

Image annotation with tagprop on the MIRFLICKR set. - Jakob Verbeek; Matthieu Guillaumin; Thomas Mensink; Cordelia Schmid (Multimedia Information Retrieval, 2010)

Learning structured prediction models for interactive image labeling. - Thomas Mensink; Jakob Verbeek; Gabriela Csurka (CVPR, 2011)

Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost. - Thomas Mensink; Jakob Verbeek; Florent Perronnin; Gabriela Csurka (ECCV (2), 2012)

Face Recognition from Caption-Based Supervision. - Matthieu Guillaumin; Thomas Mensink; Jakob Verbeek; Cordelia Schmid (Int. J. Comput. Vis., 2012)

Learning Image Classification and Retrieval Models. (Apprentissage de Modèles pour la Classification et la Recherche d'Images). - Thomas Mensink (2012)

Image Classification with the Fisher Vector: Theory and Practice. - Jorge Sánchez 002; Florent Perronnin; Thomas Mensink; Jakob Verbeek (Int. J. Comput. Vis., 2013)

Tree-Structured CRF Models for Interactive Image Labeling. - Thomas Mensink; Jakob Verbeek; Gabriela Csurka (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost. - Thomas Mensink; Jakob Verbeek; Florent Perronnin; Gabriela Csurka (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets. - Thomas Mensink; Jakob Verbeek; Florent Perronnin (Advanced Topics in Computer Vision, 2013)

COSTA: Co-Occurrence Statistics for Zero-Shot Classification. - Thomas Mensink; Efstratios Gavves; Cees G. M. Snoek (CVPR, 2014)

Attributes Make Sense on Segmented Objects. - Zhenyang Li; Efstratios Gavves; Thomas Mensink; Cees G. M. Snoek (ECCV (6), 2014)

Composite Concept Discovery for Zero-Shot Video Event Detection. - AmirHossein Habibian; Thomas Mensink; Cees G. M. Snoek (ICMR, 2014)

The Rijksmuseum Challenge: Museum-Centered Visual Recognition. - Thomas Mensink; Jan C. van Gemert (ICMR, 2014)

VideoStory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events. - AmirHossein Habibian; Thomas Mensink; Cees G. M. Snoek (ACM Multimedia, 2014)

The 2014 SESAME Multimedia Event Detection and Recounting System. - Robert C. Bolles; J. Brian Burns; James A. Herson; Gregory K. Myers; Julien van Hout; Wen Wang 001; Julie Wong; Eric Yeh; AmirHossein Habibian; Dennis C. Koelma; Thomas Mensink; Arnold W. M. Smeulders; et al. (TRECVID, 2014)

MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. - 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 004; Dennis C. Koelma; Arnold W. M. Smeulders (TRECVID, 2014)

Robustifying Descriptor Instability Using Fisher Vectors. - Ivo Everts; Jan C. van Gemert; Thomas Mensink; Theo Gevers (IEEE Trans. Image Process., 2014)

Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams. - Markus Nagel; Thomas Mensink; Cees G. M. Snoek (BMVC, 2015)

Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. - Efstratios Gavves; Thomas Mensink; Tatiana Tommasi; Cees G. M. Snoek; Tinne Tuytelaars (ICCV, 2015)

Objects2action: Classifying and Localizing Actions without Any Video Example. - Mihir Jain; Jan C. van Gemert; Thomas Mensink; Cees G. M. Snoek (ICCV, 2015)

Latent Factors of Visual Popularity Prediction. - Spencer Cappallo; Thomas Mensink; Cees G. M. Snoek (ICMR, 2015)

Discovering Semantic Vocabularies for Cross-Media Retrieval. - AmirHossein Habibian; Thomas Mensink; Cees G. M. Snoek (ICMR, 2015)

Bag-of-Fragments: Selecting and Encoding Video Fragments for Event Detection and Recounting. - Pascal Mettes; Jan C. van Gemert; Spencer Cappallo; Thomas Mensink; Cees G. M. Snoek (ICMR, 2015)

Query-by-Emoji Video Search. - Spencer Cappallo; Thomas Mensink; Cees G. M. Snoek (ACM Multimedia, 2015)

Image2Emoji: Zero-shot Emoji Prediction for Visual Media. - Spencer Cappallo; Thomas Mensink; Cees G. M. Snoek (ACM Multimedia, 2015)

VideoStory Embeddings Recognize Events when Examples are Scarce. - AmirHossein Habibian; Thomas Mensink; Cees G. M. Snoek (CoRR, 2015)

Video Stream Retrieval of Unseen Queries using Semantic Memory. - Spencer Cappallo; Thomas Mensink; Cees Snoek (BMVC, 2016)

Pooling Objects for Recognizing Scenes without Examples. - Svetlana Kordumova; Thomas Mensink; Cees G. M. Snoek (ICMR, 2016)

Learning to Reuse Visual Knowledge. - Thomas Mensink (MADiMa @ ACM Multimedia, 2016)

Online Open World Recognition. - Rocco De Rosa; Thomas Mensink; Barbara Caputo (CoRR, 2016)

Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video. - Robert C. Bolles; J. Brian Burns; Martin Graciarena; Andreas Kathol; Aaron Lawson; Mitchell McLaren; Thomas Mensink (CVPR Workshops, 2017)

Music-Guided Video Summarization using Quadratic Assignments. - Thomas Mensink; Thomas Jongstra; Pascal Mettes; Cees G. M. Snoek (ICMR, 2017)

Video2vec Embeddings Recognize Events When Examples Are Scarce. - AmirHossein Habibian; Thomas Mensink; Cees G. M. Snoek (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Three for one and one for three: Flow, Segmentation, and Surface Normals. - Hoang-An Le; Anil S. Baslamisli; Thomas Mensink; Theo Gevers (BMVC, 2018)

Iterative GANs for Rotating Visual Objects. - Ysbrand Galama; Thomas Mensink (ICLR (Workshop), 2018)

DeepNCM: Deep Nearest Class Mean Classifiers. - Samantha Guerriero; Barbara Caputo; Thomas Mensink (ICLR (Workshop), 2018)

Unsupervised Generation of Optical Flow Datasets from Videos in the Wild. - Hoang-An Le; Tushar Nimbhorkar; Thomas Mensink; Anil S. Baslamisli; Sezer Karaoglu; Theo Gevers (CoRR, 2018)

Guest Editorial. - Lamberto Ballan; Shih-Fu Chang; Gang Hua 001; Thomas Mensink; Greg Mori; Rahul Sukthankar (Comput. Vis. Image Underst., 2018)

3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. - Yunlu Chen; Thomas Mensink; Efstratios Gavves (3DV, 2019)

Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. - Sarah Ibrahimi; Shuo Chen 010; Devanshu Arya; Arthur Câmara; Yunlu Chen; Tanja Crijns; Maurits van der Goes; Thomas Mensink; Emiel van Miltenburg; Daan Odijk; William Thong; Jiaojiao Zhao; et al. (ACM Multimedia, 2019)

IterGANs: Iterative GANs to learn and control 3D object transformation. - Ysbrand Galama; Thomas Mensink (Comput. Vis. Image Underst., 2019)

New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval. - Spencer Cappallo; Stacey Svetlichnaya; Pierre Garrigues; Thomas Mensink; Cees G. M. Snoek (IEEE Trans. Multim., 2019)

Novel View Synthesis from Single Images via Point Cloud Transformation. - Hoang-An Le; Thomas Mensink; Partha Das; Theo Gevers (BMVC, 2020)

Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. - Alex Bewley; Pei Sun; Thomas Mensink; Dragomir Anguelov; Cristian Sminchisescu (CoRL, 2020)

PointMixup: Augmentation for Point Clouds. - Yunlu Chen; Vincent Tao Hu; Efstratios Gavves; Thomas Mensink; Pascal Mettes; Pengwan Yang; Cees G. M. Snoek (ECCV (3), 2020)

Post-hoc Calibration of Neural Networks. - Amir Rahimi; Kartik Gupta; Thalaiyasingam Ajanthan; Thomas Mensink; Cristian Sminchisescu; Richard Hartley 001 (CoRR, 2020)

On the benefit of adversarial training for monocular depth estimation. - Rick Groenendijk; Sezer Karaoglu; Theo Gevers; Thomas Mensink (Comput. Vis. Image Underst., 2020)

Calibration of Neural Networks using Splines. - Kartik Gupta; Amir Rahimi; Thalaiyasingam Ajanthan; Thomas Mensink; Cristian Sminchisescu; Richard Hartley 001 (ICLR, 2021)

Neural Feature Matching in Implicit 3D Representations. - Yunlu Chen; Basura Fernando; Hakan Bilen; Thomas Mensink; Efstratios Gavves (ICML, 2021)

Multi-Loss Weighting with Coefficient of Variations. - Rick Groenendijk; Sezer Karaoglu; Theo Gevers; Thomas Mensink (WACV, 2021)

EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes. - Hoang-An Le; Thomas Mensink; Partha Das; Sezer Karaoglu; Theo Gevers (WACV, 2021)

Automatic generation of dense non-rigid optical flow. - Hoang-An Le; Tushar Nimbhorkar; Thomas Mensink; Anil S. Baslamisli; Sezer Karaoglu; Theo Gevers (Comput. Vis. Image Underst., 2021)

Transferability Metrics for Selecting Source Model Ensembles. - Andrea Agostinelli; Jasper R. R. Uijlings; Thomas Mensink; Vittorio Ferrari (CVPR, 2022)

Transferability Estimation using Bhattacharyya Class Separability. - Michal Pándy; Andrea Agostinelli; Jasper R. R. Uijlings; Vittorio Ferrari; Thomas Mensink (CVPR, 2022)

How Stable Are Transferability Metrics Evaluations? - Andrea Agostinelli; Michal Pándy; Jasper R. R. Uijlings; Thomas Mensink; Vittorio Ferrari (ECCV (34), 2022)

The Missing Link: Finding Label Relations Across Datasets. - Jasper R. R. Uijlings; Thomas Mensink; Vittorio Ferrari (ECCV (8), 2022)

Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types. - Thomas Mensink; Jasper R. R. Uijlings; Alina Kuznetsova; Michael Gygli; Vittorio Ferrari (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Infinite Class Mixup. - Thomas Mensink; Pascal Mettes (BMVC, 2023)

How (not) to ensemble LVLMs for VQA. - Lisa Alazraki; Lluís Castrejón; Mostafa Dehghani 001; Fantine Huot; Jasper R. R. Uijlings; Thomas Mensink (ICBINB, 2023)

Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. - Thomas Mensink; Jasper R. R. Uijlings; Lluís Castrejón; Arushi Goel; Felipe Cadar; Howard Zhou; Fei Sha; André Araújo 001; Vittorio Ferrari (ICCV, 2023)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 2023)

Multistep Distillation of Diffusion Models via Moment Matching. - Tim Salimans; Thomas Mensink; Jonathan Heek; Emiel Hoogeboom (NeurIPS, 2024)

HAMMR: HierArchical MultiModal React agents for generic VQA. - Lluís Castrejón; Thomas Mensink; Howard Zhou; Vittorio Ferrari; André Araújo 001; Jasper R. R. Uijlings (CoRR, 2024)

Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion. - Emiel Hoogeboom; Thomas Mensink; Jonathan Heek; Kay Lamerigts; Ruiqi Gao; Tim Salimans (CoRR, 2024)

Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion. - Emiel Hoogeboom; Thomas Mensink; Jonathan Heek; Kay Lamerigts; Ruiqi Gao; Tim Salimans (CVPR, 2025)