Nature Conservation Drones for Automatic Localization and Counting of Animals. - Jan C. van Gemert; Camiel R. Verschoor; Pascal Mettes; Kitso Epema; Lian Pin Koh; Serge A. Wich (ECCV Workshops (1), 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)

On the Segmentation and Classification of Water in Videos. - Pascal Mettes; Robby T. Tan; Remco C. Veltkamp (VISAPP (1), 2014)

A Bottom-up Approach to Class-dependent Feature Selection for Material Classification. - Pascal Mettes; Robby T. Tan; Remco C. Veltkamp (VISAPP (2), 2014)

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)

Qualcomm Research and University of Amsterdam at TRECVID 2015: Recognizing Concepts, Objects, and Events in Video. - Cees G. M. Snoek; Spencer Cappallo; Daniel Fontijne; David Julian; Dennis C. Koelma; Pascal Mettes; Koen E. A. van de Sande; Anthony Sarah; Harro Stokman; Regan Blythe Towal (TRECVID, 2015)

Spot On: Action Localization from Pointly-Supervised Proposals. - Pascal Mettes; Jan C. van Gemert; Cees G. M. Snoek (ECCV (5), 2016)

Featureless: Bypassing feature extraction in action categorization. - Silvia L. Pintea; Pascal Mettes; Jan C. van Gemert; Arnold W. M. Smeulders (ICIP, 2016)

The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection. - Pascal Mettes; Dennis C. Koelma; Cees G. M. Snoek (ICMR, 2016)

Weakly-Supervised Recognition, Localization, and Explanation of Visual Entities. - Pascal Mettes (ACM Multimedia, 2016)

No spare parts: Sharing part detectors for image categorization. - Pascal Mettes; Jan C. van Gemert; Cees G. M. Snoek (Comput. Vis. Image Underst., 2016)

Localizing Actions from Video Labels and Pseudo-Annotations. - Pascal Mettes; Cees Snoek; Shih-Fu Chang (BMVC, 2017)

Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions. - Pascal Mettes; Cees G. M. Snoek (ICCV, 2017)

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

Water detection through spatio-temporal invariant descriptors. - Pascal Mettes; Robby T. Tan; Remco C. Veltkamp (Comput. Vis. Image Underst., 2017)

Using Phase Instead of Optical Flow for Action Recognition. - Omar Hommos; Silvia L. Pintea; Pascal S. M. Mettes; Jan C. van Gemert (ECCV Workshops (6), 2018)

Spatio-Temporal Instance Learning: Action Tubes from Class Supervision. - Pascal Mettes; Cees G. M. Snoek (CoRR, 2018)

SILCO: Show a Few Images, Localize the Common Object. - Tao Hu; Pascal Mettes; Jia-Hong Huang; Cees Snoek (ICCV, 2019)

Counting With Focus for Free. - Zenglin Shi; Pascal Mettes; Cees Snoek (ICCV, 2019)

4-Connected Shift Residual Networks. - Andrew Brown; Pascal Mettes; Marcel Worring (ICCV Workshops, 2019)

Bayesian 3D ConvNets for Action Recognition from Few Examples. - Martin de la Riva; Pascal Mettes (ICCV Workshops, 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)

Hyperspherical Prototype Networks. - Pascal Mettes; Elise van der Pol; Cees Snoek (NeurIPS, 2019)

Pointly-Supervised Action Localization. - Pascal Mettes; Cees G. M. Snoek (Int. J. Comput. Vis., 2019)

Adversarial Self-Supervised Scene Flow Estimation. - Victor Zuanazzi; Joris van Vugt; Olaf Booij; Pascal Mettes (3DV, 2020)

Searching for Actions on the Hyperbole. - Teng Long 002; Pascal Mettes; Heng Tao Shen; Cees G. M. Snoek (CVPR, 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)

Localizing the Common Action Among a Few Videos. - Pengwan Yang; Vincent Tao Hu; Pascal Mettes; Cees G. M. Snoek (ECCV (7), 2020)

Heterogeneous Non-Local Fusion for Multimodal Activity Recognition. - Petr Byvshev; Pascal Mettes; Yu Xiao 001 (ICMR, 2020)

Interactivity Proposals for Surveillance Videos. - Shuo Chen 010; Pascal Mettes; Tao Hu; Cees G. M. Snoek (ICMR, 2020)

Trajectory Prediction Network for Future Anticipation of Ships. - Pim Dijt; Pascal Mettes (ICMR, 2020)

Open cross-domain visual search. - William Thong; Pascal Mettes; Cees G. M. Snoek (Comput. Vis. Image Underst., 2020)

Shuffled ImageNet Banks for Video Event Detection and Search. - Pascal Mettes; Dennis C. Koelma; Cees G. M. Snoek (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Diagnosing Errors in Video Relation Detectors. - Shuo Chen 010; Pascal Mettes; Cees Snoek (BMVC, 2021)

Zero-Shot Action Recognition from Diverse Object-Scene Compositions. - Carlo Bretti; Pascal Mettes (BMVC, 2021)

Few-Shot Transformation of Common Actions Into Time and Space. - Pengwan Yang; Pascal Mettes; Cees G. M. Snoek (CVPR, 2021)

Social Fabric: Tubelet Compositions for Video Relation Detection. - Shuo Chen 010; Zenglin Shi; Pascal Mettes; Cees G. M. Snoek (ICCV, 2021)

Frequency-Supervised MR-to-CT Image Synthesis. - Zenglin Shi; Pascal Mettes; Guoyan Zheng; Cees Snoek (DGM4MICCAI/DALI@MICCAI, 2021)

Hyperbolic Busemann Learning with Ideal Prototypes. - Mina Ghadimi Atigh; Martin Keller-Ressel; Pascal Mettes (NeurIPS, 2021)

Object Priors for Classifying and Localizing Unseen Actions. - Pascal Mettes; William Thong; Cees G. M. Snoek (Int. J. Comput. Vis., 2021)

Unsharp Mask Guided Filtering. - Zenglin Shi; Yunlu Chen; Efstratios Gavves; Pascal Mettes; Cees G. M. Snoek (IEEE Trans. Image Process., 2021)

Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs. - Osman Ülger; Julian Wiederer; Mohsen Ghafoorian; Vasileios Belagiannis; Pascal Mettes (BMVC, 2022)

Hyperbolic Image Segmentation. - Mina Ghadimi Atigh; Julian Schoep; Erman Acar; Nanne van Noord; Pascal Mettes (CVPR, 2022)

Less Than Few: Self-shot Video Instance Segmentation. - Pengwan Yang; Yuki M. Asano; Pascal Mettes; Cees G. M. Snoek (ECCV (34), 2022)

Teaching a New Dog Old Tricks: Contrastive Random Walks in Videos with Unsupervised Priors. - Jan Schutte; Pascal Mettes (ICMR, 2022)

Hyperbolic Graph Codebooks. - Pascal Mettes (LOD (1), 2022)

Maximum Class Separation as Inductive Bias in One Matrix. - Tejaswi Kasarla; Gertjan J. Burghouts; Max van Spengler; Elise van der Pol; Rita Cucchiara; Pascal Mettes (NeurIPS, 2022)

Are 3D convolutional networks inherently biased towards appearance? - Petr Byvshev; Pascal Mettes; Yu Xiao 001 (Comput. Vis. Image Underst., 2022)

On Measuring and Controlling the Spectral Bias of the Deep Image Prior. - Zenglin Shi; Pascal Mettes; Subhransu Maji; Cees G. M. Snoek (Int. J. Comput. Vis., 2022)

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

Poincaré ResNet. - Max van Spengler; Erwin Berkhout; Pascal Mettes (ICCV, 2023)

Query by Activity Video in the Wild. - Tao Hu; William Thong; Pascal Mettes; Cees Snoek (ICIP, 2023)

Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation. - Shuo Chen 010; Ying-Jun Du; Pascal Mettes; Cees G. M. Snoek (ICMR, 2023)

HypLL: The Hyperbolic Learning Library. - Max van Spengler; Philipp Wirth; Pascal Mettes (ACM Multimedia, 2023)

Revisiting Proposal-based Object Detection. - Aritra Bhowmik; Martin R. Oswald; Pascal Mettes; Cees G. M. Snoek (CoRR, 2023)

Motion Flow Matching for Human Motion Synthesis and Editing. - Vincent Tao Hu; Wenzhe Yin; Pingchuan Ma 006; Yunlu Chen; Basura Fernando; Yuki M. Asano; Efstratios Gavves; Pascal Mettes; Björn Ommer; Cees G. M. Snoek (CoRR, 2023)

Latent Space Editing in Transformer-Based Flow Matching. - Vincent Tao Hu; David W. Zhang; Pascal Mettes; Meng Tang 001; Deli Zhao; Cees G. M. Snoek (CoRR, 2023)

Universal Prototype Transport for Zero-Shot Action Recognition and Localization. - Pascal Mettes (Int. J. Comput. Vis., 2023)

Self-contained Entity Discovery from Captioned Videos. - Melika Ayoughi; Pascal Mettes; Paul Groth (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Latent Space Editing in Transformer-Based Flow Matching. - Vincent Tao Hu; Wei Zhang; Meng Tang 001; Pascal Mettes; Deli Zhao; Cees Snoek (AAAI, 2024)

Flow Matching for Conditional Text Generation in a Few Sampling Steps. - Vincent Tao Hu; Di Wu; Yuki Markus Asano; Pascal Mettes; Basura Fernando; Björn Ommer; Cees Snoek (EACL (2), 2024)

Maximally Separated Active Learning. - Tejaswi Kasarla; Abhishek Jha 001; Faye Tervoort; Rita Cucchiara; Pascal Mettes (ECCV Workshops (17), 2024)

Adversarial Attacks on Hyperbolic Networks. - Max van Spengler; Jan Zahálka; Pascal Mettes (ECCV Workshops (17), 2024)

Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation. - Guido Maria D'Amely di Melendugno; Alessandro Flaborea; Pascal Mettes; Fabio Galasso (IROS, 2024)

Find the Cliffhanger: Multi-modal Trailerness in Soap Operas. - Carlo Bretti; Pascal Mettes; Hendrik Vincent Koops; Daan Odijk; Nanne van Noord (MMM (2), 2024)

Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability. - Judith Dijk; Gertjan J. Burghouts; Kapil D. Katyal; Bryanna Y. Yeh; Craig Knuth; Ella Fokkinga; Tejaswi Kasarla; Pascal Mettes (CoRR, 2024)

Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation. - Guido Maria D'Amely di Melendugno; Alessandro Flaborea; Pascal Mettes; Fabio Galasso (CoRR, 2024)

Hyperbolic Random Forests. - Lars Doorenbos; Pablo Márquez-Neila; Raphael Sznitman; Pascal Mettes (Trans. Mach. Learn. Res., 2024)

Intriguing Properties of Hyperbolic Embeddings in Vision-Language Models. - Sarah Ibrahimi; Mina Ghadimi Atigh; Nanne van Noord; Pascal Mettes; Marcel Worring (Trans. Mach. Learn. Res., 2024)

Focus for Free in Density-Based Counting. - Zenglin Shi; Pascal Mettes; Cees G. M. Snoek (Int. J. Comput. Vis., 2024)

Hyperbolic Deep Learning in Computer Vision: A Survey. - Pascal Mettes; Mina Ghadimi Atigh; Martin Keller-Ressel; Jeffrey Gu; Serena Yeung (Int. J. Comput. Vis., 2024)

Large Language Models Are Natural Video Popularity Predictors. - Pratik Kayal; Pascal Mettes; Nima Dehmamy; Minsu Park (ACL (Findings), 2025)

Hyperbolic Safety-Aware Vision-Language Models. - Tobia Poppi; Tejaswi Kasarla; Pascal Mettes; Lorenzo Baraldi 002; Rita Cucchiara (CVPR, 2025)

Designing Hierarchies for Optimal Hyperbolic Embedding. - Melika Ayoughi; Max van Spengler; Pascal Mettes; Paul Groth (ESWC (1), 2025)

Union-over-Intersections: Object Detection beyond Winner-Takes-All. - Aritra Bhowmik; Pascal Mettes; Martin R. Oswald; Cees G. M. Snoek (ICLR, 2025)

BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation. - Diego Garcia Cerdas; Christina Sartzetaki; Magnus Petersen; Gemma Roig; Pascal Mettes; Iris I. A. Groen (ICLR, 2025)

Compositional Entailment Learning for Hyperbolic Vision-Language Models. - Avik Pal; Max van Spengler; Guido Maria D'Amely di Melendugno; Alessandro Flaborea; Fabio Galasso; Pascal Mettes (ICLR, 2025)

Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space. - Max van Spengler; Pascal Mettes (CoRR, 2025)

Hyperbolic Safety-Aware Vision-Language Models. - Tobia Poppi; Tejaswi Kasarla; Pascal Mettes; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2025)

How PARTs assemble into wholes: Learning the relative composition of images. - Melika Ayoughi; Samira Abnar; Chen Huang 001; Christopher Michael Sandino; Sayeri Lala; Eeshan Gunesh Dhekane; Dan Busbridge; Shuangfei Zhai; Vimal Thilak; Joshua M. Susskind; Pascal Mettes; Paul Groth; et al. (CoRR, 2025)

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors. - Tejaswi Kasarla; Max van Spengler; Pascal Mettes (CoRR, 2025)

Continual Hyperbolic Learning of Instances and Classes. - Melika Ayoughi; Mina Ghadimi Atigh; Mohammad Mahdi Derakhshani; Cees G. M. Snoek; Pascal Mettes; Paul Groth (CoRR, 2025)

SimZSL: Zero-Shot Learning Beyond a Pre-defined Semantic Embedding Space. - Mina Ghadimi Atigh; Stephanie Nargang; Martin Keller-Ressel; Pascal Mettes (Int. J. Comput. Vis., 2025)