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ORCIDCees Snoek
Cees G. M. Snoek
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- affiliation: University of Amsterdam, Informatics Institute
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2020 – today
- 2023
[i93]Piyush Bagad, Makarand Tapaswi, Cees G. M. Snoek:
Test of Time: Instilling Video-Language Models with a Sense of Time. CoRR abs/2301.02074 (2023)- [i92]Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Unlocking Slot Attention by Changing Optimal Transport Costs. CoRR abs/2301.13197 (2023) - [i91]Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek:
Energy-Based Test Sample Adaptation for Domain Generalization. CoRR abs/2302.11215 (2023) - [i90]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 abs/2303.05977 (2023) - [i89]Fida Mohammad Thoker, Hazel Doughty, Cees Snoek:
Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization. CoRR abs/2303.11003 (2023) - [i88]Ying-Jun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. CoRR abs/2304.00101 (2023) - [i87]Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano:
Self-Ordering Point Clouds. CoRR abs/2304.00961 (2023) - [i86]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 abs/2305.10309 (2023) - 2022
- [j56]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): 885-908 (2022) - [j55]William Thong, Cees G. M. Snoek:
Diversely-Supervised Visual Product Search. ACM Trans. Multim. Comput. Commun. Appl. 18(1): 13:1-13:22 (2022) - [c181]Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, Cees G. M. Snoek:
BoxeR: Box-Attention for 2D and 3D Transformers. CVPR 2022: 4763-4772 - [c180]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: 13588-13597 - [c179]Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek:
Audio-Adaptive Activity Recognition Across Video Domains. CVPR 2022: 13781-13790 - [c178]Hazel Doughty, Cees G. M. Snoek:
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs. CVPR 2022: 13822-13832 - [c177]Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek:
Less Than Few: Self-shot Video Instance Segmentation. ECCV (34) 2022: 449-466 - [c176]Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees G. M. Snoek:
How Severe Is Benchmark-Sensitivity in Video Self-supervised Learning? ECCV (34) 2022: 632-652 - [c175]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. ICLR 2022 - [c174]Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. ICLR 2022 - [c173]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 - [c172]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Pruning Edges and Gradients to Learn Hypergraphs From Larger Sets. LoG 2022: 53 - [c171]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: 314-324 - [c170]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek:
Variational Model Perturbation for Source-Free Domain Adaptation. NeurIPS 2022 - [c169]Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring:
Association Graph Learning for Multi-Task Classification with Category Shifts. NeurIPS 2022 - [i85]Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. CoRR abs/2202.08045 (2022) - [i84]Hazel Doughty, Cees G. M. Snoek:
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs. CoRR abs/2203.12344 (2022) - [i83]Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees Snoek:
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning? CoRR abs/2203.14221 (2022) - [i82]Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek:
Audio-Adaptive Activity Recognition Across Video Domains. CoRR abs/2203.14240 (2022) - [i81]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 abs/2204.05737 (2022) - [i80]Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek:
Less than Few: Self-Shot Video Instance Segmentation. CoRR abs/2204.08874 (2022) - [i79]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 abs/2205.14297 (2022) - [i78]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 abs/2210.02390 (2022) - [i77]Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek, Marcel Worring:
Association Graph Learning for Multi-Task Classification with Category Shifts. CoRR abs/2210.04637 (2022) - [i76]Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek:
Self-Guided Diffusion Models. CoRR abs/2210.06462 (2022) - [i75]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek:
Variational Model Perturbation for Source-Free Domain Adaptation. CoRR abs/2210.10378 (2022) - [i74]Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek:
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight. CoRR abs/2212.02053 (2022) - [i73]Aritra Bhowmik, Martin R. Oswald, Yu Wang, Nora Baka, Cees G. M. Snoek:
Detecting Objects with Graph Priors and Graph Refinement. CoRR abs/2212.12395 (2022) - 2021
- [j54]Pascal Mettes, William Thong, Cees G. M. Snoek:
Object Priors for Classifying and Localizing Unseen Actions. Int. J. Comput. Vis. 129(6): 1954-1971 (2021) - [j53]Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek:
Unsharp Mask Guided Filtering. IEEE Trans. Image Process. 30: 7472-7485 (2021) - [c168]Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees Snoek, Ekaterina Shutova:
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. ACL/IJCNLP (1) 2021: 5254-5268 - [c167]William Thong, Cees Snoek:
Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias. BMVC 2021: 130 - [c166]Shuo Chen, Pascal Mettes, Cees Snoek:
Diagnosing Errors in Video Relation Detectors. BMVC 2021: 241 - [c165]Yunhua Zhang, Ling Shao, Cees G. M. Snoek:
Repetitive Activity Counting by Sight and Sound. CVPR 2021: 14070-14079 - [c164]Pengwan Yang, Pascal Mettes, Cees G. M. Snoek:
Few-Shot Transformation of Common Actions Into Time and Space. CVPR 2021: 16031-16040 - [c163]Sander R. Klomp, Matthew van Rijn, Rob G. J. Wijnhoven, Cees G. M. Snoek, Peter H. N. de With:
Safe Fakes: Evaluating Face Anonymizers for Face Detectors. FG 2021: 1-8 - [c162]Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek:
Motion-Augmented Self-Training for Video Recognition at Smaller Scale. ICCV 2021: 10409-10418 - [c161]Shuo Chen, Zenglin Shi, Pascal Mettes, Cees G. M. Snoek:
Social Fabric: Tubelet Compositions for Video Relation Detection. ICCV 2021: 13465-13474 - [c160]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. ICLR 2021 - [c159]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Set Prediction without Imposing Structure as Conditional Density Estimation. ICLR 2021 - [c158]Jiaojiao Zhao, Cees G. M. Snoek:
LiftPool: Bidirectional ConvNet Pooling. ICLR 2021 - [c157]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek:
Kernel Continual Learning. ICML 2021: 2621-2631 - [c156]Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. ICML 2021: 11351-11361 - [c155]Zenglin Shi, Pascal Mettes, Guoyan Zheng, Cees Snoek:
Frequency-Supervised MR-to-CT Image Synthesis. DGM4MICCAI/DALI@MICCAI 2021: 3-13 - [c154]Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek:
Skeleton-Contrastive 3D Action Representation Learning. ACM Multimedia 2021: 1655-1663 - [c153]Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees Snoek, Ling Shao:
Variational Prototype Inference for Few-Shot Semantic Segmentation. WACV 2021: 525-534 - [i72]Yunhua Zhang, Ling Shao, Cees G. M. Snoek:
Repetitive Activity Counting by Sight and Sound. CoRR abs/2103.13096 (2021) - [i71]Jiaojiao Zhao, Xinyu Li, Chunhui Liu, Bing Shuai, Hao Chen, Cees G. M. Snoek, Joseph Tighe:
TubeR: Tube-Transformer for Action Detection. CoRR abs/2104.00969 (2021) - [i70]Jiaojiao Zhao, Cees G. M. Snoek:
LiftPool: Bidirectional ConvNet Pooling. CoRR abs/2104.00996 (2021) - [i69]Pengwan Yang, Pascal Mettes, Cees G. M. Snoek:
Few-Shot Transformation of Common Actions into Time and Space. CoRR abs/2104.02439 (2021) - [i68]Pascal Mettes, William Thong, Cees G. M. Snoek:
Object Priors for Classifying and Localizing Unseen Actions. CoRR abs/2104.04715 (2021) - [i67]Sander R. Klomp, Matthew van Rijn, Rob G. J. Wijnhoven, Cees G. M. Snoek, Peter H. N. de With:
Safe Fakes: Evaluating Face Anonymizers for Face Detectors. CoRR abs/2104.11721 (2021) - [i66]Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek:
Motion-Augmented Self-Training for Video Recognition at Smaller Scale. CoRR abs/2105.01646 (2021) - [i65]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 abs/2105.03781 (2021) - [i64]Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. CoRR abs/2105.04030 (2021) - [i63]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 abs/2105.06668 (2021) - [i62]Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek:
Unsharp Mask Guided Filtering. CoRR abs/2106.01428 (2021) - [i61]Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees G. M. Snoek, Ekaterina Shutova:
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. CoRR abs/2106.02960 (2021) - [i60]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Recurrently Predicting Hypergraphs. CoRR abs/2106.13919 (2021) - [i59]Zenglin Shi, Pascal Mettes, Subhransu Maji, Cees G. M. Snoek:
On Measuring and Controlling the Spectral Bias of the Deep Image Prior. CoRR abs/2107.01125 (2021) - [i58]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Kernel Continual Learning. CoRR abs/2107.05757 (2021) - [i57]Zenglin Shi, Pascal Mettes, Guoyan Zheng, Cees Snoek:
Frequency-Supervised MR-to-CT Image Synthesis. CoRR abs/2107.08962 (2021) - [i56]Fida Mohammad Thoker, Cees G. M. Snoek:
Feature-Supervised Action Modality Transfer. CoRR abs/2108.03329 (2021) - [i55]Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek:
Skeleton-Contrastive 3D Action Representation Learning. CoRR abs/2108.03656 (2021) - [i54]Shuo Chen, Zenglin Shi, Pascal Mettes, Cees G. M. Snoek:
Social Fabric: Tubelet Compositions for Video Relation Detection. CoRR abs/2108.08363 (2021) - [i53]Shuo Chen, Pascal Mettes, Cees G. M. Snoek:
Diagnosing Errors in Video Relation Detectors. CoRR abs/2110.13110 (2021) - [i52]William Thong, Cees G. M. Snoek:
Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias. CoRR abs/2110.14336 (2021) - [i51]Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. CoRR abs/2111.12193 (2021) - [i50]Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, Cees G. M. Snoek:
BoxeR: Box-Attention for 2D and 3D Transformers. CoRR abs/2111.13087 (2021) - [i49]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. CoRR abs/2112.08181 (2021) - [i48]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Generative Kernel Continual learning. CoRR abs/2112.13410 (2021) - 2020
- [j52]Victor Escorcia, Cuong Duc Dao, Mihir Jain, Bernard Ghanem, Cees Snoek:
Guess where? Actor-supervision for spatiotemporal action localization. Comput. Vis. Image Underst. 192: 102886 (2020) - [j51]William Thong, Pascal Mettes, Cees G. M. Snoek:
Open cross-domain visual search. Comput. Vis. Image Underst. 200: 103045 (2020) - [j50]Jiaojiao Zhao, Jungong Han, Ling Shao, Cees G. M. Snoek:
Pixelated Semantic Colorization. Int. J. Comput. Vis. 128(4): 818-834 (2020) - [j49]Yonghong Tian, Cees G. M. Snoek, Jingdong Wang, Zhu Liu, Rainer Lienhart, Susanne Boll:
Guest Editorial Multimedia Computing With Interpretable Machine Learning. IEEE Trans. Multim. 22(7): 1661-1666 (2020) - [j48]Pascal Mettes, Dennis C. Koelma, Cees G. M. Snoek:
Shuffled ImageNet Banks for Video Event Detection and Search. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 44:1-44:21 (2020) - [c152]William Thong, Cees Snoek:
Bias-Awareness for Zero-Shot Learning the Seen and Unseen. BMVC 2020 - [c151]Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan, Cees G. M. Snoek:
Actor-Transformers for Group Activity Recognition. CVPR 2020: 836-845 - [c150]Teng Long, Pascal Mettes, Heng Tao Shen, Cees G. M. Snoek:
Searching for Actions on the Hyperbole. CVPR 2020: 1138-1147 - [c149]Mihir Jain, Amir Ghodrati, Cees G. M. Snoek:
ActionBytes: Learning From Trimmed Videos to Localize Actions. CVPR 2020: 1168-1177 - [c148]Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders:
Cloth in the Wind: A Case Study of Physical Measurement Through Simulation. CVPR 2020: 10495-10504 - [c147]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) 2020: 200-216 - [c146]Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek:
PointMixup: Augmentation for Point Clouds. ECCV (3) 2020: 330-345 - [c145]Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao:
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. ECCV (22) 2020: 479-495 - [c144]Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek:
Localizing the Common Action Among a Few Videos. ECCV (7) 2020: 505-521 - [c143]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. ICML 2020: 11409-11419 - [c142]Fida Mohammad Thoker, Cees G. M. Snoek:
Feature-Supervised Action Modality Transfer. ICPR 2020: 3751-3758 - [c141]Shuai Liao, Efstratios Gavves, ChangYong Oh, Cees G. M. Snoek:
Quasibinary Classifier for Images with Zero and Multiple Labels. ICPR 2020: 8743-8750 - [c140]Shuo Chen, Pascal Mettes, Tao Hu, Cees G. M. Snoek:
Interactivity Proposals for Surveillance Videos. ICMR 2020: 108-116 - [c139]Cees Snoek:
Unseen Activity Recognition in Space and Time. HUMA @ ACM Multimedia 2020: 31 - [c138]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. NeurIPS 2020 - [i47]Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders:
Cloth in the Wind: A Case Study of Physical Measurement through Simulation. CoRR abs/2003.05065 (2020) - [i46]Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao:
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. CoRR abs/2003.07833 (2020) - [i45]Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan, Cees G. M. Snoek:
Actor-Transformers for Group Activity Recognition. CoRR abs/2003.12737 (2020) - [i44]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. CoRR abs/2006.06707 (2020) - [i43]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR abs/2007.07645 (2020) - [i42]Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek:
Localizing the Common Action Among a Few Videos. CoRR abs/2008.05826 (2020) - [i41]Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek:
PointMixup: Augmentation for Point Clouds. CoRR abs/2008.06374 (2020) - [i40]William Thong, Cees G. M. Snoek:
Bias-Awareness for Zero-Shot Learning the Seen and Unseen. CoRR abs/2008.11185 (2020) - [i39]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Set Prediction without Imposing Structure as Conditional Density Estimation. CoRR abs/2010.04109 (2020) - [i38]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. CoRR abs/2010.10341 (2020)
2010 – 2019
- 2019
- [j47]Pascal Mettes, Cees G. M. Snoek:
Pointly-Supervised Action Localization. Int. J. Comput. Vis. 127(3): 263-281 (2019) - [j46]Tom F. H. Runia, Cees G. M. Snoek, Arnold W. M. Smeulders:
Repetition Estimation. Int. J. Comput. Vis. 127(9): 1361-1383 (2019) - [j45]Spencer Cappallo, Stacey Svetlichnaya, Pierre Garrigues, Thomas Mensink, Cees G. M. Snoek:
New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval. IEEE Trans. Multim. 21(2): 402-415 (2019) - [c137]Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek:
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation. AAAI 2019: 8441-8448 - [c136]Shuai Liao, Efstratios Gavves, Cees G. M. Snoek:
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres. CVPR 2019: 9759-9767 - [c135]Jiaojiao Zhao, Cees G. M. Snoek:
Dance With Flow: Two-In-One Stream Action Detection. CVPR 2019: 9935-9944 - [c134]Zenglin Shi, Pascal Mettes, Cees Snoek:
Counting With Focus for Free. ICCV 2019: 4199-4208 - [c133]Tao Hu, Pascal Mettes, Jia-Hong Huang, Cees Snoek:
SILCO: Show a Few Images, Localize the Common Object. ICCV 2019: 5066-5075 - [c132]Pascal Mettes, Elise van der Pol, Cees Snoek:
Hyperspherical Prototype Networks. NeurIPS 2019: 1485-1495 - [e7]Elisa Ricci, Samuel Rota Bulò, Cees Snoek, Oswald Lanz, Stefano Messelodi, Nicu Sebe:
Image Analysis and Processing - ICIAP 2019 - 20th International Conference, Trento, Italy, September 9-13, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11751, Springer 2019, ISBN 978-3-030-30641-0 [contents] - [e6]Elisa Ricci, Samuel Rota Bulò, Cees Snoek, Oswald Lanz, Stefano Messelodi, Nicu Sebe:
Image Analysis and Processing - ICIAP 2019 - 20th International Conference, Trento, Italy, September 9-13, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11752, Springer 2019, ISBN 978-3-030-30644-1 [contents] - [i37]Federico Landi, Cees G. M. Snoek, Rita Cucchiara:
Anomaly Locality in Video Surveillance. CoRR abs/1901.10364 (