Snoek, Cees G.M.

82 publications

ICLR 2025 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

ICLR 2025 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

CVPR 2025 Commonsense Video Question Answering Through Video-Grounded Entailment Tree Reasoning Huabin Liu, Filip Ilievski, Cees G. M. Snoek

ICLR 2025 DynaPrompt: Dynamic Test-Time Prompt Tuning Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Cheems Wang, Cees G. M. Snoek

NeurIPS 2025 Elastic ViTs from Pretrained Models Without Retraining Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort, Cees G. M. Snoek, Yuki M Asano

ICCV 2025 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

ICLR 2025 One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment Christina Sartzetaki, Gemma Roig, Cees G. M. Snoek, Iris Groen

TMLR 2025 SimPLR: A Simple and Plain Transformer for Efficient Object Detection and Segmentation Duy Kien Nguyen, Martin R. Oswald, Cees G. M. Snoek

ICLR 2025 TULIP: Token-Length Upgraded CLIP Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki M Asano, Nanne Van Noord, Marcel Worring, Cees G. M. Snoek

ICCV 2025 TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning Aritra Bhowmik, Mohammad Mahdi Derakhshani, Dennis Koelma, Yuki M. Asano, Martin R. Oswald, Cees G. M. Snoek

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

CVPR 2024 Any-Shift Prompting for Generalization over Distributions Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek

ECCV 2024 GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features Luc P.J. Sträter, Mohammadreza Salehi, Efstratios Gavves, Cees G.M. Snoek, Yuki M. Asano

ICLR 2024 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

NeurIPS 2024 IPO: Interpretable Prompt Optimization for Vision-Language Models Yingjun Du, Wenfang Sun, Cees G. M. Snoek

CVPR 2024 Low-Resource Vision Challenges for Foundation Models Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek

CVPR 2024 PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs Michael Dorkenwald, Nimrod Barazani, Cees G. M. Snoek, Yuki M. Asano

CoLLAs 2024 Probabilistic Test-Time Generalization by Variational Neighbor-Labeling Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

ICLR 2024 R-MAE: Regions Meet Masked Autoencoders Duy Kien Nguyen, Yanghao Li, Vaibhav Aggarwal, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen

ICCV 2023 Bayesian Prompt Learning for Image-Language Model Generalization Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor G. Turrisi da Costa, Cees G.M. Snoek, Georgios Tzimiropoulos, Brais Martinez

ICCV 2023 Detecting Objects with Context-Likelihood Graphs and Graph Refinement Aritra Bhowmik, Yu Wang, Nora Baka, Martin R. Oswald, Cees G. M. Snoek

ICLRW 2023 Do Video-Language Foundation Models Have a Sense of Time? Piyush Nitin Bagad, Makarand Tapaswi, Cees G. M. Snoek

CoLLAs 2023 EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G.M. Snoek

ICLR 2023 Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek

ICLR 2023 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

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

ICCVW 2023 Memory-Augmented Variational Adaptation for Online Few-Shot Segmentation Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves

ICML 2023 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

ICMLW 2023 Neural Networks Are Graphs! Graph Neural Networks for Equivariant Processing of Neural Networks David W. Zhang, Miltiadis Kofinas, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Cees G. M. Snoek

ICCV 2023 Order-Preserving Consistency Regularization for Domain Adaptation and Generalization Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek

CVPR 2023 Self-Guided Diffusion Models Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek

ICCV 2023 Self-Ordering Point Clouds Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano

CVPR 2023 SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

CVPR 2023 Test of Time: Instilling Video-Language Models with a Sense of Time Piyush Bagad, Makarand Tapaswi, Cees G. M. Snoek

ICCV 2023 Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations Mohammadreza Salehi, Efstratios Gavves, Cees G.M. Snoek, Yuki M. Asano

ICCV 2023 Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek

ICML 2023 Unlocking Slot Attention by Changing Optimal Transport Costs Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

ICLRW 2023 Variational Prompt Tuning Improves Generalization of Vision-Language Foundation Models Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martinez

CVPR 2022 Audio-Adaptive Activity Recognition Across Video Domains Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek

CVPR 2022 BoxeR: Box-Attention for 2D and 3D Transformers Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, Cees G. M. Snoek

NeurIPSW 2022 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

ICLR 2022 Hierarchical Variational Memory for Few-Shot Learning Across Domains Yingjun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

CVPR 2022 How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs Hazel Doughty, Cees G. M. Snoek

ECCV 2022 How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning? Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees G. M. Snoek

ICLR 2022 Learning to Generalize Across Domains on Single Test Samples Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

ECCV 2022 Less than Few: Self-Shot Video Instance Segmentation Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek

ICLR 2022 Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang, David W Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

LoG 2022 Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets David W Zhang, Gertjan J. Burghouts, Cees G. M. Snoek

NeurIPSW 2022 Self-Guided Diffusion Model Vincent Tao Hu, David W Zhang, Yuki M Asano, Gertjan J. Burghouts, Cees G. M. Snoek

CVPR 2022 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

NeurIPSW 2022 Unlocking Slot Attention by Changing Optimal Transport Costs Yan Zhang, David W Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

NeurIPSW 2022 Unlocking Slot Attention by Changing Optimal Transport Costs Yan Zhang, David W Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

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

ICLR 2021 LiftPool: Bidirectional ConvNet Pooling Jiaojiao Zhao, Cees G. M. Snoek

ICLR 2021 MetaNorm: Learning to Normalize Few-Shot Batches Across Domains Yingjun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

ICCV 2021 Motion-Augmented Self-Training for Video Recognition at Smaller Scale Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek

CVPR 2021 Repetitive Activity Counting by Sight and Sound Yunhua Zhang, Ling Shao, Cees G. M. Snoek

ICLR 2021 Set Prediction Without Imposing Structure as Conditional Density Estimation David W Zhang, Gertjan J. Burghouts, Cees G. M. Snoek

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

ECCV 2020 Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao

ECCV 2020 Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

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

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

AAAI 2019 Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek

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

CVPR 2017 Tracking by Natural Language Specification Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W.M. Smeulders

ECCV 2016 Spot on: Action Localization from Pointly-Supervised Proposals Pascal Mettes, Jan C. van Gemert, Cees G. M. Snoek

WACV 2016 Tag-Based Video Retrieval by Embedding Semantic Content in a Continuous Word Space Arnav Agharwal, Rama Kovvuri, Ram Nevatia, Cees G. M. Snoek

ICCV 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

CVPR 2015 What Do 15,000 Object Categories Tell Us About Classifying and Localizing Actions? Mihir Jain, Jan C. van Gemert, Cees G. M. Snoek

CVPR 2014 Action Localization with Tubelets from Motion Mihir Jain, Jan van Gemert, Herve Jegou, Patrick Bouthemy, Cees G.M. Snoek

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

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

CVPR 2014 Fisher and VLAD with FLAIR Koen E. A. van de Sande, Cees G. M. Snoek, Arnold W. M. Smeulders

CVPR 2014 Locality in Generic Instance Search from One Example Ran Tao, Efstratios Gavves, Cees G.M. Snoek, Arnold W.M. Smeulders

ICCV 2013 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

CVPR 2012 Convex Reduction of High-Dimensional Kernels for Visual Classification Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders

ECCV 2010 Accelerating Visual Categorization with the GPU Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek

ECCVW 2010 Accelerating Visual Categorization with the GPU Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek

CVPR 2008 Evaluation of Color Descriptors for Object and Scene Recognition Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek

CVPRW 2006 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