Cees G. M. Snoek
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
99
Venues
16
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
99 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GateRA: Token-aware Modulation for Parameter-Efficient Fine-tuning. | Jie Ou, Shuaihong Jiang, Yingjun Du, Cees G. M. Snoek |
| 2026 | EACL | Adapting Vision-Language Models for E-commerce Understanding at Scale. | Matteo Nulli, Orshulevich Vladimir, Tala Bazazo, Christian Herold, Michael Kozielski, Marcin Mazur, Szymon Tuzel, Cees G. M. Snoek, Seyyed Hadi Hashemi, Omar Javed, Yannick Versley, Shahram Khadivi |
| 2026 | WACV | QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain. | Wenfang Sun, Yingjun Du, Gaowen Liu, Yefeng Zheng, Cees G. M. Snoek |
| 2025 | CVPR | Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning. | Huabin Liu, Filip Ilievski, Cees G. M. Snoek |
| 2025 | ICASSP | The Sound of Water: Inferring Physical Properties from Pouring Liquids. | Piyush Bagad, Makarand Tapaswi, Cees G. M. Snoek, Andrew Zisserman |
| 2025 | ICCV | TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning. | Aritra Bhowmik, Mohammad Mahdi Derakhshani, Dennis C. Koelma, Yuki M. Asano, Martin R. Oswald, Cees G. M. Snoek |
| 2025 | ICCV | Mosic: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning. | Mohammadreza Salehi, Shashanka Venkataramanan, Ioana Simion, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano |
| 2025 | ICLR | Union-over-Intersections: Object Detection beyond Winner-Takes-All. | Aritra Bhowmik, Pascal Mettes, Martin R. Oswald, Cees G. M. Snoek |
| 2025 | ICLR | CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. | Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves |
| 2025 | ICLR | TULIP: Token-length Upgraded CLIP. | Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki M. Asano, Nanne van Noord, Marcel Worring, Cees G. M. Snoek |
| 2025 | ICLR | An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels. | Duy-Kien Nguyen, Mido Assran, Unnat Jain, Martin R. Oswald, Cees G. M. Snoek, Xinlei Chen |
| 2025 | ICLR | One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment. | Christina Sartzetaki, Gemma Roig, Cees G. M. Snoek, Iris I. A. Groen |
| 2025 | ICLR | DynaPrompt: Dynamic Test-Time Prompt Tuning. | Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Qi Wang, Cees G. M. Snoek |
| 2025 | WACV | GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts. | Sameer Ambekar, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek |
| 2024 | ACCV | Beyond Coarse-Grained Matching in Video-Text Retrieval. | Aozhu Chen, Hazel Doughty, Xirong Li, Cees G. M. Snoek |
| 2024 | ACCV | LocoMotion: Learning Motion-Focused Video-Language Representations. | Hazel Doughty, Fida Mohammad Thoker, Cees G. M. Snoek |
| 2024 | ACCV | Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection. | Mohammadreza Salehi, Nikolaos Apostolikas, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano |
| 2024 | CVPR | PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs. | Michael Dorkenwald, Nimrod Barazani, Cees G. M. Snoek, Yuki M. Asano |
| 2024 | CVPR | Any-Shift Prompting for Generalization Over Distributions. | Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek |
| 2024 | CVPR | Low-Resource Vision Challenges for Foundation Models. | Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek |
| 2024 | ECCV | SelEx: Self-expertise in Fine-Grained Generalized Category Discovery. | Sarah Rastegar, Mohammadreza Salehi, Yuki M. Asano, Hazel Doughty, Cees G. M. Snoek |
| 2024 | ECCV | SIGMA: Sinkhorn-Guided Masked Video Modeling. | Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano |
| 2024 | ECCV | GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. | Luc P. J. Strter, Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano |
| 2024 | ICLR | Graph Neural Networks for Learning Equivariant Representations of Neural Networks. | Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang |
| 2024 | ICLR | R-MAE: Regions Meet Masked Autoencoders. | Duy-Kien Nguyen, Yanghao Li, Vaibhav Aggarwal, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen |
| 2023 | CVPR | Test of Time: Instilling Video-Language Models with a Sense of Time. | Piyush Bagad, Makarand Tapaswi, Cees G. M. Snoek |
| 2023 | CVPR | SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. | Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek |
| 2023 | CVPR | Self-Guided Diffusion Models. | Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek |
| 2023 | ICCV | Detecting Objects with Context-Likelihood Graphs and Graph Refinement. | Aritra Bhowmik, Yu Wang, Nora Baka, Martin R. Oswald, Cees G. M. Snoek |
| 2023 | ICCV | Bayesian Prompt Learning for Image-Language Model Generalization. | Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martnez |
| 2023 | ICCV | Order-preserving Consistency Regularization for Domain Adaptation and Generalization. | Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek |
| 2023 | ICCV | Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. | Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano |
| 2023 | ICCV | Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization. | Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek |
| 2023 | ICCV | Self-Ordering Point Clouds. | Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano |
| 2023 | ICLR | Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. | Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban |
| 2023 | ICLR | Energy-Based Test Sample Adaptation for Domain Generalization. | Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek |
| 2023 | ICML | MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. | Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek |
| 2023 | ICML | Unlocking Slot Attention by Changing Optimal Transport Costs. | Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek |
| 2023 | MICCAI | Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. | Tom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring |
| 2022 | CVPR | How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs. | Hazel Doughty, Cees G. M. Snoek |
| 2022 | CVPR | BoxeR: Box-Attention for 2D and 3D Transformers. | Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, Cees G. M. Snoek |
| 2022 | CVPR | Audio-Adaptive Activity Recognition Across Video Domains. | Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek |
| 2022 | CVPR | TubeR: Tubelet Transformer for Video Action Detection. | Jiaojiao Zhao, Yanyi Zhang, Xinyu Li, Hao Chen, Bing Shuai, Mingze Xu, Chunhui Liu, Kaustav Kundu, Yuanjun Xiong, Davide Modolo, Ivan Marsic, Cees G. M. Snoek, Joseph Tighe |
| 2022 | ECCV | How Severe Is Benchmark-Sensitivity in Video Self-supervised Learning? | Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees G. M. Snoek |
| 2022 | ECCV | Less Than Few: Self-shot Video Instance Segmentation. | Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek |
| 2022 | ICLR | Hierarchical Variational Memory for Few-shot Learning Across Domains. | Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek |
| 2022 | ICLR | Learning to Generalize across Domains on Single Test Samples. | Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek |
| 2022 | ICLR | Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. | Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek |
| 2022 | MICCAI | LifeLonger: A Benchmark for Continual Disease Classification. | Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek |
| 2021 | CVPR | Few-Shot Transformation of Common Actions Into Time and Space. | Pengwan Yang, Pascal Mettes, Cees G. M. Snoek |
| 2021 | CVPR | Repetitive Activity Counting by Sight and Sound. | Yunhua Zhang, Ling Shao, Cees G. M. Snoek |
| 2021 | ICCV | Social Fabric: Tubelet Compositions for Video Relation Detection. | Shuo Chen, Zenglin Shi, Pascal Mettes, Cees G. M. Snoek |
| 2021 | ICCV | Motion-Augmented Self-Training for Video Recognition at Smaller Scale. | Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek |
| 2021 | ICLR | MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. | Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek |
| 2021 | ICLR | Set Prediction without Imposing Structure as Conditional Density Estimation. | David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek |
| 2021 | ICLR | LiftPool: Bidirectional ConvNet Pooling. | Jiaojiao Zhao, Cees G. M. Snoek |
| 2020 | CVPR | Actor-Transformers for Group Activity Recognition. | Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan, Cees G. M. Snoek |
| 2020 | CVPR | ActionBytes: Learning From Trimmed Videos to Localize Actions. | Mihir Jain, Amir Ghodrati, Cees G. M. Snoek |
| 2020 | CVPR | Searching for Actions on the Hyperbole. | Teng Long, Pascal Mettes, Heng Tao Shen, Cees G. M. Snoek |
| 2020 | CVPR | Cloth in the Wind: A Case Study of Physical Measurement Through Simulation. | Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders |
| 2020 | ECCV | PointMixup: Augmentation for Point Clouds. | Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek |
| 2020 | ECCV | Learning to Learn with Variational Information Bottleneck for Domain Generalization. | Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao |
| 2020 | ECCV | Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. | Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao |
| 2020 | ECCV | Localizing the Common Action Among a Few Videos. | Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek |
| 2020 | ICPR | Quasibinary Classifier for Images with Zero and Multiple Labels. | Shuai Liao, Efstratios Gavves, ChangYong Oh, Cees G. M. Snoek |
| 2020 | ICPR | Feature-Supervised Action Modality Transfer. | Fida Mohammad Thoker, Cees G. M. Snoek |
| 2019 | AAAI | Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation. | Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek |
| 2019 | CVPR | Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres. | Shuai Liao, Efstratios Gavves, Cees G. M. Snoek |
| 2019 | CVPR | Dance With Flow: Two-In-One Stream Action Detection. | Jiaojiao Zhao, Cees G. M. Snoek |
| 2018 | CVPR | Actor and Action Video Segmentation From a Sentence. | Kirill Gavrilyuk, Amir Ghodrati, Zhenyang Li, Cees G. M. Snoek |
| 2018 | CVPR | Real-World Repetition Estimation by Div, Grad and Curl. | Tom F. H. Runia, Cees G. M. Snoek, Arnold W. M. Smeulders |
| 2018 | ITiCSE | Cheat me not: automated proctoring of digital exams on bring-your-own-device. | Gosia Migut, Dennis C. Koelma, Cees G. M. Snoek, Natasa Brouwer |
| 2017 | CVPR | Tracking by Natural Language Specification. | Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders |
| 2017 | ICCV | Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions. | Pascal Mettes, Cees G. M. Snoek |
| 2016 | ECCV | Spot On: Action Localization from Pointly-Supervised Proposals. | Pascal Mettes, Jan C. van Gemert, Cees G. M. Snoek |
| 2016 | ICPR | Segment-based models for event detection and recounting. | Rama Kovvuri, Ram Nevatia, Cees G. M. Snoek |
| 2016 | MMM | Exploring the Long Tail of Social Media Tags. | Svetlana Kordumova, Jan C. van Gemert, Cees G. M. Snoek |
| 2016 | WACV | Tag-based video retrieval by embedding semantic content in a continuous word space. | Arnav Agharwal, Rama Kovvuri, Ram Nevatia, Cees G. M. Snoek |
| 2015 | BMVC | APT: Action localization proposals from dense trajectories. | Jan C. van Gemert, Mihir Jain, Ella Gati, Cees G. M. Snoek |
| 2015 | BMVC | Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams. | Markus Nagel, Thomas Mensink, Cees G. M. Snoek |
| 2015 | CVPR | What do 15, 000 object categories tell us about classifying and localizing actions? | Mihir Jain, Jan C. van Gemert, Cees G. M. Snoek |
| 2015 | ICCV | 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 |
| 2015 | ICCV | Objects2action: Classifying and Localizing Actions without Any Video Example. | Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek |
| 2014 | CVPR | Action Localization with Tubelets from Motion. | Mihir Jain, Jan C. van Gemert, Herv Jgou, Patrick Bouthemy, Cees G. M. Snoek |
| 2014 | CVPR | COSTA: Co-Occurrence Statistics for Zero-Shot Classification. | Thomas Mensink, Efstratios Gavves, Cees G. M. Snoek |
| 2014 | CVPR | Fisher and VLAD with FLAIR. | Koen E. A. van de Sande, Cees G. M. Snoek, Arnold W. M. Smeulders |
| 2014 | CVPR | Locality in Generic Instance Search from One Example. | Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders |
| 2014 | ECCV | Attributes Make Sense on Segmented Objects. | Zhenyang Li, Efstratios Gavves, Thomas Mensink, Cees G. M. Snoek |
| 2014 | ICASSP | Late fusion and calibration for multimedia event detection using few examples. | Julien van Hout, Eric Yeh, Dennis C. Koelma, Cees G. M. Snoek, Chen Sun, Ramakant Nevatia, Julie Wong, Gregory K. Myers |
| 2013 | CBMI | Evaluating sources and strategies for learning video concepts from social media. | Svetlana Kordumova, Xirong Li, Cees G. M. Snoek |
| 2013 | ICCV | Fine-Grained Categorization by Alignments. | Efstratios Gavves, Basura Fernando, Cees G. M. Snoek, Arnold W. M. Smeulders, Tinne Tuytelaars |
| 2013 | ICCV | Codemaps - Segment, Classify and Search Objects Locally. | Zhenyang Li, Efstratios Gavves, Koen E. A. van de Sande, Cees G. M. Snoek, Arnold W. M. Smeulders |
| 2012 | CVPR | Convex reduction of high-dimensional kernels for visual classification. | Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders |
| 2011 | MMM | Size Matters! How Thumbnail Number, Size, and Motion Influence Mobile Video Retrieval. | Wolfgang Hrst, Cees G. M. Snoek, Willem-Jan Spoel, Mate Tomin |
| 2010 | ECCV | Accelerating Visual Categorization with the GPU. | Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek |
| 2009 | ICASSP | Annotating images by harnessing worldwide user-tagged photos. | Xirong Li, Cees G. M. Snoek, Marcel Worring |
| 2008 | CVPR | Evaluation of color descriptors for object and scene recognition. | Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek |
| 2007 | ICASSP | The Mediamill Semantic Video Search Engine. | Marcel Worring, Cees G. M. Snoek, Ork de Rooij, Giang P. Nguyen, Arnold W. M. Smeulders |
| 2006 | CVPR | Robust Scene Categorization by Learning Image Statistics in Context. | Jan C. van Gemert, Jan-Mark Geusebroek, Cor J. Veenman, Cees G. M. Snoek, Arnold W. M. Smeulders |