Cees G. M. Snoek

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 195

Top Venues

Publications

Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek
Low-Resource Vision Challenges for Foundation Models. CoRR (2024)
Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
Graph Neural Networks for Learning Equivariant Representations of Neural Networks. CoRR (2024)
Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano
SIGMA: Sinkhorn-Guided Masked Video Modeling. CoRR (2024)
Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
Graph Neural Networks for Learning Equivariant Representations of Neural Networks. ICLR (2024)
Zenglin Shi, Pascal Mettes, Cees G. M. Snoek
Focus for Free in Density-Based Counting. Int. J. Comput. Vis. 132 (7) (2024)
Sarah Rastegar, Hazel Doughty, Cees G. M. Snoek
Background no more: Action recognition across domains by causal interventions. Comput. Vis. Image Underst. 242 (2024)
Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek
Any-Shift Prompting for Generalization over Distributions. CoRR (2024)
Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Duy-Kien Nguyen, Yanghao Li, Vaibhav Aggarwal, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen
R-MAE: Regions Meet Masked Autoencoders. ICLR (2024)
Duy-Kien Nguyen, Mahmoud Assran, Unnat Jain, Martin R. Oswald, Cees G. M. Snoek, Xinlei Chen
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels. CoRR (2024)
Michael Dorkenwald, Nimrod Barazani, Cees G. M. Snoek, Yuki M. Asano
PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs. CoRR (2024)
Luc P. J. Sträter, Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. CoRR (2024)
Wenfang Sun, Yingjun Du, Gaowen Liu, Ramana Kompella, Cees G. M. Snoek
Training-Free Semantic Segmentation via LLM-Supervision. CoRR (2024)
Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron
Data Augmentations in Deep Weight Spaces. CoRR (2023)
Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
Self-Guided Diffusion Models. CVPR (2023)
Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek
Energy-Based Test Sample Adaptation for Domain Generalization. CoRR (2023)
Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
Unlocking Slot Attention by Changing Optimal Transport Costs. ICML (2023)
Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. CoRR (2023)
Piyush Bagad, Makarand Tapaswi, Cees G. M. Snoek
Test of Time: Instilling Video-Language Models with a Sense of Time. CVPR (2023)
Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano
Self-Ordering Point Clouds. CoRR (2023)
Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek
Energy-Based Test Sample Adaptation for Domain Generalization. ICLR (2023)
Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek
Learning Unseen Modality Interaction. CoRR (2023)
Wenfang Sun, Ying-Jun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. CoRR (2023)
Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. ICML (2023)
Aritra Bhowmik, Yu Wang, Nora Baka, Martin R. Oswald, Cees G. M. Snoek
Detecting Objects with Context-Likelihood Graphs and Graph Refinement. ICCV (2023)
Tao Hu, William Thong, Pascal Mettes, Cees G. M. Snoek
Query by Activity Video in the Wild. CoRR (2023)
Shuo Chen, Ying-Jun Du, Pascal Mettes, Cees G. M. Snoek
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation. ICMR (2023)
Aritra Bhowmik, Martin R. Oswald, Pascal Mettes, Cees G. M. Snoek
Revisiting Proposal-based Object Detection. CoRR (2023)
Sarah Rastegar, Hazel Doughty, Cees G. M. Snoek
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery. CoRR (2023)
Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Attentional prototype inference for few-shot segmentation. Pattern Recognit. 142 (2023)
Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
Unlocking Slot Attention by Changing Optimal Transport Costs. CoRR (2023)
Ying-Jun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. CoRR (2023)
Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. CVPR (2023)
Duy-Kien Nguyen, Martin R. Oswald, Cees G. M. Snoek
SimPLR: A Simple and Plain Transformer for Object Detection and Segmentation. CoRR (2023)
Zenglin Shi, Pascal Mettes, Cees G. M. Snoek
Focus for Free in Density-Based Counting. CoRR (2023)
Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano
Self-Ordering Point Clouds. ICCV (2023)
Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. CoLLAs (2023)
Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. ICLR (2023)
Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek
Order-preserving Consistency Regularization for Domain Adaptation and Generalization. ICCV (2023)
Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek
Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization. ICCV (2023)
Duy-Kien Nguyen, Vaibhav Aggarwal, Yanghao Li, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen
R-MAE: Regions Meet Masked Autoencoders. CoRR (2023)
Piyush Bagad, Makarand Tapaswi, Cees G. M. Snoek
Test of Time: Instilling Video-Language Models with a Sense of Time. CoRR (2023)
Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring, Yuki M. Asano
Small Visual Language Models can also be Open-Ended Few-Shot Learners. CoRR (2023)
Tom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring
Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. MICCAI (5) (2023)
Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martínez
Bayesian Prompt Learning for Image-Language Model Generalization. ICCV (2023)
Tom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring
Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. CoRR (2023)
Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer
Guided Diffusion from Self-Supervised Diffusion Features. CoRR (2023)
Mohammad Mahdi Derakhshani, Menglin Xia, Harkirat Behl, Cees G. M. Snoek, Victor Rühle
Unlocking Spatial Comprehension in Text-to-Image Diffusion Models. CoRR (2023)
Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek
Motion Flow Matching for Human Motion Synthesis and Editing. CoRR (2023)
Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
Memory-augmented Variational Adaptation for Online Few-shot Segmentation. ICCV (Workshops) (2023)
Shuo Chen, Yingjun Du, Pascal Mettes, Cees G. M. Snoek
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation. CoRR (2023)
Vincent Tao Hu, David W. Zhang, Pascal Mettes, Meng Tang, Deli Zhao, Cees G. M. Snoek
Latent Space Editing in Transformer-Based Flow Matching. CoRR (2023)
Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. ICCV (2023)
Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
Learning Variational Neighbor Labels for Test-Time Domain Generalization. CoRR (2023)
Aritra Bhowmik, Martin R. Oswald, Yu Wang, Nora Baka, Cees G. M. Snoek
Detecting Objects with Graph Priors and Graph Refinement. CoRR (2022)
Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
Self-Guided Diffusion Models. CoRR (2022)
Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek
Variational Model Perturbation for Source-Free Domain Adaptation. CoRR (2022)
Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. CoRR (2022)
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
TubeR: Tubelet Transformer for Video Action Detection. CVPR (2022)
Hazel Doughty, Cees G. M. Snoek
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs. CoRR (2022)
Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, Cees G. M. Snoek
BoxeR: Box-Attention for 2D and 3D Transformers. CVPR (2022)
Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek
LifeLonger: A Benchmark for Continual Disease Classification. MICCAI (2) (2022)
William Thong, Cees G. M. Snoek
Diversely-Supervised Visual Product Search. ACM Trans. Multim. Comput. Commun. Appl. 18 (1) (2022)
Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Learning to Generalize across Domains on Single Test Samples. ICLR (2022)
Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek
Audio-Adaptive Activity Recognition Across Video Domains. CVPR (2022)
Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martínez
Variational prompt tuning improves generalization of vision-language models. CoRR (2022)
Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Learning to Generalize across Domains on Single Test Samples. CoRR (2022)
Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek
Less Than Few: Self-shot Video Instance Segmentation. ECCV (34) (2022)
Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight. CoRR (2022)
Hazel Doughty, Cees G. M. Snoek
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs. CVPR (2022)
Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek
LifeLonger: A Benchmark for Continual Disease Classification. CoRR (2022)
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Hierarchical Variational Memory for Few-shot Learning Across Domains. ICLR (2022)
Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek, Marcel Worring
Association Graph Learning for Multi-Task Classification with Category Shifts. CoRR (2022)
David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
Pruning Edges and Gradients to Learn Hypergraphs From Larger Sets. LoG (2022)
Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. ICLR (2022)
Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek
Audio-Adaptive Activity Recognition Across Video Domains. CoRR (2022)
Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees G. M. Snoek
How Severe Is Benchmark-Sensitivity in Video Self-supervised Learning? ECCV (34) (2022)
Zenglin Shi, Pascal Mettes, Subhransu Maji, Cees G. M. Snoek
On Measuring and Controlling the Spectral Bias of the Deep Image Prior. Int. J. Comput. Vis. 130 (4) (2022)
Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek
Less than Few: Self-Shot Video Instance Segmentation. CoRR (2022)
David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
Recurrently Predicting Hypergraphs. CoRR (2021)
Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Kernel Continual Learning. CoRR (2021)
Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek
Skeleton-Contrastive 3D Action Representation Learning. CoRR (2021)
Pengwan Yang, Pascal Mettes, Cees G. M. Snoek
Few-Shot Transformation of Common Actions Into Time and Space. CVPR (2021)
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Hierarchical Variational Memory for Few-shot Learning Across Domains. CoRR (2021)
Duy-Kien Nguyen, Jihong Ju, Olaf Booji, Martin R. Oswald, Cees G. M. Snoek
BoxeR: Box-Attention for 2D and 3D Transformers. CoRR (2021)
Jiaojiao Zhao, Cees G. M. Snoek
LiftPool: Bidirectional ConvNet Pooling. CoRR (2021)
Yunhua Zhang, Ling Shao, Cees G. M. Snoek
Repetitive Activity Counting by Sight and Sound. CVPR (2021)
Shuo Chen, Zenglin Shi, Pascal Mettes, Cees G. M. Snoek
Social Fabric: Tubelet Compositions for Video Relation Detection. ICCV (2021)
Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek
Unsharp Mask Guided Filtering. IEEE Trans. Image Process. 30 (2021)
Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Attentional Prototype Inference for Few-Shot Semantic Segmentation. CoRR (2021)
Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek
Motion-Augmented Self-Training for Video Recognition at Smaller Scale. ICCV (2021)
Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek
Motion-Augmented Self-Training for Video Recognition at Smaller Scale. CoRR (2021)
Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. CoRR (2021)
Shuo Chen, Pascal Mettes, Cees G. M. Snoek
Diagnosing Errors in Video Relation Detectors. CoRR (2021)
Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees G. M. Snoek, Ekaterina Shutova
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. CoRR (2021)
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. ICLR (2021)
Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
MetaKernel: Learning Variational Random Features with Limited Labels. CoRR (2021)
Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek
Unsharp Mask Guided Filtering. CoRR (2021)
Pengwan Yang, Pascal Mettes, Cees G. M. Snoek
Few-Shot Transformation of Common Actions into Time and Space. CoRR (2021)
Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek
Skeleton-Contrastive 3D Action Representation Learning. ACM Multimedia (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Cees G. M. Snoek