245 entries « 1 of 5 »

2021

BoxeR: Box-Attention for 2D and 3D TransformersDuy-Kien Nguyen, Jihong Ju an Olaf Booji, Martin R Oswald, Cees G M Snoek: BoxeR: Box-Attention for 2D and 3D Transformers. 2021. (Type: Unpublished | Abstract | Links | BibTeX)
Multiset-Equivariant Set Prediction with Approximate Implicit DifferentiationYan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J Burghouts, Cees G M Snoek: Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. 2021. (Type: Unpublished | Abstract | Links | BibTeX)
Diagnosing Errors in Video Relation DetectorsShuo Chen, Pascal Mettes, Cees G M Snoek: Diagnosing Errors in Video Relation Detectors. In: BMVC, Virtual, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Feature and Label Embedding Spaces Matter in Addressing Image Classifier BiasWilliam Thong, Cees G M Snoek: Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias. In: BMVC, Virtual, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Skeleton-Contrastive 3D Action Representation LearningFida Mohammad Thoker, Hazel Doughty, Cees G M Snoek : Skeleton-Contrastive 3D Action Representation Learning. In: MM, Chengdu, China, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Motion-Augmented Self-Training for Video Recognition at Smaller ScaleKirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G M Snoek: Motion-Augmented Self-Training for Video Recognition at Smaller Scale. In: ICCV, Montreal, Canada, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Social Fabric: Tubelet Compositions for Video Relation DetectionShuo Chen, Zenglin Shi, Pascal Mettes, Cees G M Snoek: Social Fabric: Tubelet Compositions for Video Relation Detection. In: ICCV, Montreal, Canada, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Naleving van gedragsmaatregelen tijdens de COVID-19-pandemieJoska Appelman, Kiki Bijleveld, Peter Ejbye-Ernst, Evelien Hoeben, Lasse Liebst, Cees Snoek, Dennis Koelma, Marie Rosenkrantz Lindegaard: Naleving van gedragsmaatregelen tijdens de COVID-19-pandemie. In: Justitiele Verkenningen, 47 (3), pp. 54–71, 2021. (Type: Journal Article | Abstract | Links | BibTeX)
Promise Into Practice: Application of Computer Vision in Empirical Research on Social DistancingWim Bernasco, Eveline Hoeben, Dennis Koelma, Lasse Suonperä Liebst, Josephine Thomas, Joska Appelman, Cees Snoek, Marie Rosenkrantz Lindegaard: Promise Into Practice: Application of Computer Vision in Empirical Research on Social Distancing. In: Sociological Methods and Research, 2021, (Pending revision.). (Type: Journal Article | Abstract | Links | BibTeX)
Unsharp Mask Guided FilteringZenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G M Snoek: Unsharp Mask Guided Filtering. In: IEEE Transactions on Image Processing, 30 , pp. 7472-7485, 2021. (Type: Journal Article | Abstract | Links | BibTeX)
Meta-Learning with Variational Semantic Memory for Word Sense DisambiguationYingjun Du, Nithin Holla, Xiantong Zhen, Cees G M Snoek, Ekaterina Shutova: Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. In: ACL-IJCNLP, Bangkok, Thailand, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
On Measuring and Controlling the Spectral Bias of the Deep Image PriorZenglin Shi, Pascal Mettes, Subhransu Maji, Cees G M Snoek: On Measuring and Controlling the Spectral Bias of the Deep Image Prior. In: International Journal of Computer Vision, 2021, (Pending revision.). (Type: Journal Article | Links | BibTeX)
Kernel Continual LearningMohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G M Snoek: Kernel Continual Learning. In: ICML, Vienna, Austria, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
A Bit More Bayesian: Domain-Invariant Learning with UncertaintyZehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G M Snoek: A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. In: ICML, Vienna, Austria, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Recurrently Predicting HypergraphsDavid W Zhang, Gertjan J Burghouts, Cees G M Snoek: Recurrently Predicting Hypergraphs. 2021. (Type: Unpublished | Abstract | Links | BibTeX)
Few-Shot Transformation of Common Actions into Time and SpacePengwan Yang, Pascal Mettes, Cees G M Snoek: Few-Shot Transformation of Common Actions into Time and Space. In: CVPR, Nashville, USA, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Repetitive Activity Counting by Sight and SoundYunhua Zhang, Ling Shao, Cees G M Snoek: Repetitive Activity Counting by Sight and Sound. In: CVPR, Nashville, USA, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
MetaNorm: Learning to Normalize Few-Shot Batches Across DomainsYingjun Du, Xiantong Zhen, Ling Shao, Cees G M Snoek: MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. In: ICLR, Vienna, Austria, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Set Prediction without Imposing Structure as Conditional Density EstimationDavid W Zhang, Gertjan J Burghouts, Cees G M Snoek: Set Prediction without Imposing Structure as Conditional Density Estimation. In: ICLR, Vienna, Austria, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
LiftPool: Bidirectional ConvNet PoolingJiaojiao Zhao, Cees G M Snoek: LiftPool: Bidirectional ConvNet Pooling. In: ICLR, Vienna, Austria, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
MetaKernel: Learning Variational Random Features with Limited LabelsYingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G M Snoek: MetaKernel: Learning Variational Random Features with Limited Labels. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, (Pending revision.). (Type: Journal Article | Links | BibTeX)
Attentional Prototype Inference for Few-Shot Semantic SegmentationHaoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G M Snoek, Ling Shao: Attentional Prototype Inference for Few-Shot Semantic Segmentation. 2021. (Type: Unpublished | Links | BibTeX)
Safe Fakes: Evaluating Face Anonymizers for Face DetectorsSander 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. In: IEEE International Conference on Automatic Face and Gesture Recognition, Jodhpur, India, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Object Priors for Classifying and Localizing Unseen ActionsPascal Mettes, William Thong, Cees G M Snoek: Object Priors for Classifying and Localizing Unseen Actions. In: International Journal of Computer Vision, 129 (6), pp. 1954–1971, 2021. (Type: Journal Article | Abstract | Links | BibTeX)
Diversely-Supervised Visual Product SearchWilliam Thong, Cees G M Snoek: Diversely-Supervised Visual Product Search. In: ACM Transactions on Multimedia Computing, Communications and Applications, 2021, (In press). (Type: Journal Article | Abstract | Links | BibTeX)
TubeR: Tube-Transformer for Action DetectionJiaojiao Zhao, Arthur Li, Chunhui Liu, Shuai Bing, Hao Chen, Cees G.M. Snoek, Joseph Tighe: TubeR: Tube-Transformer for Action Detection. 2021. (Type: Unpublished | Abstract | Links | BibTeX)
Quasibinary Classifier for Images with Zero and Multiple LabelsShuai Liao, Efstratios Gavves, ChangYong Oh, Cees G M Snoek: Quasibinary Classifier for Images with Zero and Multiple Labels. In: ICPR, Milan, Italy, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Feature-Supervised Action Modality TransferFida Mohammad Thoker, Cees G M Snoek: Feature-Supervised Action Modality Transfer. In: ICPR, Milan, Italy, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Variational Prototype Inference for Few-Shot Semantic SegmentationHaochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees G M Snoek, Ling Shao: Variational Prototype Inference for Few-Shot Semantic Segmentation. In: WACV, Waikoloa, Hawaii, USA, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)

2020

Learning to Learn Variational Semantic MemoryXiantong Zhen, Yingjun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao: Learning to Learn Variational Semantic Memory. In: NeurIPS, Vancouver, Canada, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
Open Cross-Domain Visual SearchWilliam Thong, Pascal Mettes, Cees G M Snoek: Open Cross-Domain Visual Search. In: Computer Vision and Image Understanding, 200 , 2020. (Type: Journal Article | Abstract | Links | BibTeX)
Bias-Awareness for Zero-Shot Learning the Seen and UnseenWilliam Thong, Cees G M Snoek: Bias-Awareness for Zero-Shot Learning the Seen and Unseen. In: BMVC, Manchester, UK, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
PointMixup: Augmentation for Point CloudsYunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G M Snoek: PointMixup: Augmentation for Point Clouds. In: ECCV, Glasgow, UK, 2020, (Spotlight presentation, top 5%). (Type: Inproceedings | Abstract | Links | BibTeX)
Learning to Learn with Variational Information Bottleneck for Domain GeneralizationYingjun 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. In: ECCV, Glasgow, UK, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
Latent Embedding Feedback and Discriminative Features for Zero-Shot ClassificationSanath Narayan, Akshita Gupta, Fahad Khan, Cees G M Snoek, Ling Shao: Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. In: ECCV, Glasgow, UK, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
Localizing the Common Action Among a Few VideosPengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G M Snoek: Localizing the Common Action Among a Few Videos. In: ECCV, Glasgow, UK, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
Learning to Learn Kernels with Variational Random FeaturesXiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees G M Snoek: Learning to Learn Kernels with Variational Random Features. In: ICML, Vienna, Austria, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
Yonghong Tian, Cees G M Snoek, Jingdong Wang, Zhu Liu, Rainer Lienhart, Susanne Boll: Guest Editorial Multimedia Computing With Interpretable Machine Learning. In: IEEE Transactions on Multimedia, 22 (7), pp. 1661-1666, 2020. (Type: Journal Article | Abstract | BibTeX)
Actor-Transformers for Group Activity RecognitionKirill Gavrilyuk, Ryan Sanford, Mehrsan Javan, Cees G M Snoek: Actor-Transformers for Group Activity Recognition. In: CVPR, Seattle, USA, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
ActionBytes: Learning from Trimmed Videos to Localize ActionsMihir Jain, Amir Ghodrati, Cees G M Snoek: ActionBytes: Learning from Trimmed Videos to Localize Actions. In: CVPR, Seattle, USA, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
Searching for Actions on the HyperboleTeng Long, Pascal Mettes, Heng Tao Shen, Cees G M Snoek: Searching for Actions on the Hyperbole. In: CVPR, Seattle, USA, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
Cloth in the Wind: A Case Study of Physical Measurement through SimulationTom Runia, Kirill Gavrilyuk, Cees G M Snoek, Arnold W M Smeulders: Cloth in the Wind: A Case Study of Physical Measurement through Simulation. In: CVPR, Seattle, USA, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
Interactivity Proposals for Surveillance VideosShuo Chen, Pascal Mettes, Tao Hu, Cees G M Snoek: Interactivity Proposals for Surveillance Videos. In: ICMR, Dublin, Ireland, 2020. (Type: Inproceedings | Abstract | Links | BibTeX)
Shuffled ImageNet-Banks for Video Event Detection and SearchPascal Mettes, Dennis C Koelma, Cees G M Snoek: Shuffled ImageNet-Banks for Video Event Detection and Search. In: ACM Transactions on Multimedia Computing, Communications and Applications, 16 (2), 2020. (Type: Journal Article | Abstract | Links | BibTeX)
Pixelated Semantic ColorizationJiaojiao Zhao, Jungong Han, Ling Shao, Cees G M Snoek: Pixelated Semantic Colorization. In: International Journal of Computer Vision, 128 (4), pp. 814–834, 2020. (Type: Journal Article | Abstract | Links | BibTeX)
Guess Where? Actor-Supervision for Spatiotemporal Video Action LocalizationVictor Escorcia, Dao Cuong, Mihir Jain, Bernard Ghanem, Cees G M Snoek: Guess Where? Actor-Supervision for Spatiotemporal Video Action Localization. In: Computer Vision and Image Understanding, 192 , 2020. (Type: Journal Article | Abstract | Links | BibTeX)

2019

Hyperspherical Prototype NetworksPascal Mettes, Elise van der Pol, Cees G M Snoek: Hyperspherical Prototype Networks. In: NeurIPS, Vancouver, Canada, 2019. (Type: Inproceedings | Abstract | Links | BibTeX)
SILCO: Show a Few Images, Localize the Common ObjectTao Hu, Pascal Mettes, Jia-Hong Huang, Cees G M Snoek: SILCO: Show a Few Images, Localize the Common Object. In: ICCV, Seoul, Korea, 2019. (Type: Inproceedings | Abstract | Links | BibTeX)
Counting with Focus for FreeZenglin Shi, Pascal Mettes, Cees G M Snoek: Counting with Focus for Free. In: ICCV, Seoul, Korea, 2019. (Type: Inproceedings | Abstract | Links | BibTeX)
Repetition EstimationTom Runia, Cees G M Snoek, Arnold W M Smeulders: Repetition Estimation. In: International Journal of Computer Vision, 127 (9), pp. 1361–1383, 2019. (Type: Journal Article | Abstract | Links | BibTeX)
245 entries « 1 of 5 »
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