225 entries « 1 of 5 »

2021

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. ICLR, Vienna, Austria, 2021. (Type: Inproceedings | 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. ICLR, Vienna, Austria, 2021. (Type: Inproceedings | BibTeX)
LiftPool: Bidirectional ConvNet PoolingJiaojiao Zhao, Cees G M Snoek: LiftPool: Bidirectional ConvNet Pooling. ICLR, Vienna, Austria, 2021. (Type: Inproceedings | 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. 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. 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. WACV, Waikoloa, Hawaii, USA, 2021. (Type: Inproceedings | Abstract | Links | BibTeX)
Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G M Snoek: Unsharp Mask Guided Filtering. IEEE Transactions on Image Processing, 2021, (Submitted). (Type: Journal Article | BibTeX)
William Thong, Cees G M Snoek: Diversely-Supervised Visual Product Search. ACM Transactions on Multimedia Computing, Communications and Applications, 2021, (Pending revision). (Type: Journal Article | BibTeX)
Pascal Mettes, William Thong, Cees G M Snoek: Object Priors for Classifying and Localizing Unseen Actions. International Journal of Computer Vision, 2021, (Pending revision). (Type: Journal Article | 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. ICCV, Seoul, Korea, 2019. (Type: Inproceedings | Abstract | Links | BibTeX)
Repetition EstimationTom Runia, Cees G M Snoek, Arnold W M Smeulders: Repetition Estimation. International Journal of Computer Vision, 127 (9), pp. 1361–1383, 2019. (Type: Journal Article | Abstract | Links | BibTeX)
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-SpheresShuai Liao, Efstratios Gavves, Cees G M Snoek: Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres. CVPR, Long Beach, USA, 2019. (Type: Inproceedings | Abstract | Links | BibTeX)
Dance with Flow: Two-in-One Stream Action DetectionJiaojiao Zhao, Cees G M Snoek: Dance with Flow: Two-in-One Stream Action Detection. CVPR, Long Beach, USA, 2019. (Type: Inproceedings | Abstract | Links | BibTeX)
Pointly-Supervised Action LocalizationPascal Mettes, Cees G M Snoek: Pointly-Supervised Action Localization. International Journal of Computer Vision, 127 (3), pp. 263–281, 2019. (Type: Journal Article | Abstract | Links | BibTeX)
New Modality: Emoji Challenges in Prediction, Anticipation, and RetrievalSpencer Cappallo, Stacey Svetlichnaya, Pierre Garrigues, Thomas Mensink, Cees G M Snoek: New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval. IEEE Transactions on Multimedia, 21 (2), pp. 402–415, 2019. (Type: Journal Article | Abstract | Links | BibTeX)
Attention-based Multi-Context Guiding for Few-Shot Semantic SegmentationTao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees Snoek: Attention-based Multi-Context Guiding for Few-Shot Semantic Segmentation. AAAI, Honolulu, Hawaii, USA, 2019. (Type: Inproceedings | Abstract | Links | BibTeX)

2018

Predicting Visual Features from Text for Image and Video Caption RetrievalJianfeng Dong, Xirong Li, Cees G M Snoek: Predicting Visual Features from Text for Image and Video Caption Retrieval. IEEE Transactions on Multimedia, 20 (12), pp. 3377–3388, 2018. (Type: Journal Article | Abstract | Links | BibTeX)
Video Time: Properties, Encoders and EvaluationAmir Ghodrati, Efstratios Gavves, Cees G M Snoek: Video Time: Properties, Encoders and Evaluation. BMVC, Newcastle upon Tyne, UK, 2018, (Spotlight presentation, top 6.6%). (Type: Inproceedings | Abstract | Links | BibTeX)
Pixel-level Semantics Guided Image ColorizationJiaojiao Zhao, Li Liu, Cees G M Snoek, Jungong Han, Ling Shao: Pixel-level Semantics Guided Image Colorization. BMVC, Newcastle upon Tyne, UK, 2018, (Oral presentation, top 4.3%). (Type: Inproceedings | Abstract | Links | BibTeX)
Gosia Migut, Dennis Koelma, Cees G M Snoek, Natasa Brouwer-Zupancic: Cheat me not: automated proctoring of digital exams on Bring-Your-Own-Device. ACM Conference on Innovation and Technology in Computer Science Education, Larnaca, Cyprus, 2018. (Type: Inproceedings | Abstract | Links | BibTeX)
Actor and Action Video Segmentation from a SentenceKirill Gavrilyuk, Amir Ghodrati, Zhenyang Li, Cees G M Snoek: Actor and Action Video Segmentation from a Sentence. CVPR, Salt Lake City, USA, 2018, (Oral presentation, top 2.1%). (Type: Inproceedings | Abstract | Links | BibTeX)
Real-World Repetition Estimation by Div, Grad and CurlTom Runia, Cees G M Snoek, Arnold W M Smeulders: Real-World Repetition Estimation by Div, Grad and Curl. CVPR, Salt Lake City, USA, 2018, (Spotlight presentation, top 6.6%). (Type: Inproceedings | Abstract | Links | BibTeX)
Searching and Matching Texture-free 3D Shapes in ImagesShuai Liao, Efstratios Gavves, Cees G M Snoek: Searching and Matching Texture-free 3D Shapes in Images. ICMR, Yokohama, Japan, 2018. (Type: Inproceedings | Abstract | Links | BibTeX)
VideoLSTM Convolves, Attends and Flows for Action RecognitionZhenyang Li, Kirill Gavrilyuk, Efstratios Gavves, Mihir Jain, Cees G M Snoek: VideoLSTM Convolves, Attends and Flows for Action Recognition. Computer Vision and Image Understanding, 166 , pp. 41–50, 2018. (Type: Journal Article | Abstract | Links | BibTeX)
Fatih Porikli, Shiguang Shan, Cees Snoek, Rahul Sukthankar, Xiaogang Wang: Deep Learning for Visual Understanding: Part 2 [From the Guest Editors]. IEEE Signal Processing Magazine, 35 (1), pp. 17-19, 2018. (Type: Journal Article | BibTeX)
Bernard Ghanem, Juan Carlos Niebles, Cees Snoek, Fabian Caba Heilbron, Humam Alwassel, Victor Escorcia, Ranjay Khrisna, Shyamal Buch, Cuong Duc Dao: The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary. arXiv:1808.03766, 2018. (Type: Journal Article | Abstract | BibTeX)

2017

Fatih Porikli, Shiguang Shan, Cees Snoek, Rahul Sukthankar, Xiaogang Wang: Deep Learning for Visual Understanding [From the Guest Editors]. IEEE Signal Processing Magazine, 34 (6), pp. 24-25, 2017. (Type: Journal Article | Abstract | BibTeX)
University of Amsterdam and Renmin University at TRECVID 2017: Searching Video, Detecting Events and Describing VideoCees G M Snoek, Xirong Li, Chaoxi Xu, Dennis Koelma: University of Amsterdam and Renmin University at TRECVID 2017: Searching Video, Detecting Events and Describing Video. TRECVID, Gaithersburg, USA, 2017. (Type: Inproceedings | Abstract | Links | BibTeX)
Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of ActionsPascal Mettes, Cees G M Snoek: Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions. ICCV, Venice, Italy, 2017, (Oral presentation, top 2.1%). (Type: Inproceedings | Abstract | Links | BibTeX)
Future-Supervised Retrieval of Unseen Queries for Live VideoSpencer Cappallo, Cees G M Snoek: Future-Supervised Retrieval of Unseen Queries for Live Video. MM, Mountain View, USA, 2017. (Type: Inproceedings | Abstract | Links | BibTeX)
Video2vec Embeddings Recognize Events when Examples are ScarceAmirhossein Habibian, Thomas Mensink, Cees G M Snoek: Video2vec Embeddings Recognize Events when Examples are Scarce. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39 (10), pp. 2089-2103, 2017. (Type: Journal Article | Abstract | Links | BibTeX)
225 entries « 1 of 5 »
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