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2020 – today
- 2024
[j16]Haochen Wang, Cilin Yan, Keyan Chen, Xiaolong Jiang, Xu Tang, Yao Hu, Guoliang Kang, Weidi Xie, Efstratios Gavves:
OV-VIS: Open-Vocabulary Video Instance Segmentation. Int. J. Comput. Vis. 132(11): 5048-5065 (2024)- [j15]Cilin Yan
, Haochen Wang, Jie Liu, Xiaolong Jiang, Yao Hu, Xu Tang, Guoliang Kang, Efstratios Gavves:
PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation. Neurocomputing 599: 128083 (2024) - [j14]Alex Gabel, Rick Quax, Efstratios Gavves:
Data-driven Lie point symmetry detection for continuous dynamical systems. Mach. Learn. Sci. Technol. 5(1): 15037 (2024) - [c84]Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves:
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. 3DV 2024: 810-819 - [c83]Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves:
How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CVPR 2024: 22616-22625 - [c82]Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves:
Click Prompt Learning with Optimal Transport for Interactive Segmentation. ECCV (33) 2024: 93-110 - [c81]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 - [i85]Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves:
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. CoRR abs/2401.16051 (2024) - [i84]Adeel Pervez, Francesco Locatello, Efstratios Gavves:
Mechanistic Neural Networks for Scientific Machine Learning. CoRR abs/2402.13077 (2024) - [i83]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 abs/2403.12143 (2024) - [i82]Leonard Bereska, Efstratios Gavves:
Mechanistic Interpretability for AI Safety - A Review. CoRR abs/2404.14082 (2024) - [i81]Sotirios Konstantakos, Despina Ioanna Chalkiadaki, Ioannis Mademlis, Yuki M. Asano, Efstratios Gavves, Georgios Th. Papadopoulos:
Self-supervised visual learning in the low-data regime: a comparative evaluation. CoRR abs/2404.17202 (2024) - [i80]Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Li, Jan-Jakob Sonke, Efstratios Gavves:
Domain Adaptation with Cauchy-Schwarz Divergence. CoRR abs/2405.19978 (2024) - [i79]Evgenii Egorov, Riccardo Valperga, Efstratios Gavves:
Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps. CoRR abs/2406.02490 (2024) - [i78]Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves:
Amortized Equation Discovery in Hybrid Dynamical Systems. CoRR abs/2406.03818 (2024) - [i77]David R. Wessels, David M. Knigge, Samuele Papa, Riccardo Valperga, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers:
Grounding Continuous Representations in Geometry: Equivariant Neural Fields. CoRR abs/2406.05753 (2024) - [i76]David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers:
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. CoRR abs/2406.06660 (2024) - [i75]Cilin Yan, Haochen Wang, Xiaolong Jiang, Yao Hu, Xu Tang, Guoliang Kang, Efstratios Gavves:
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning. CoRR abs/2406.11252 (2024) - [i74]Cilin Yan, Haochen Wang, Shilin Yan, Xiaolong Jiang, Yao Hu, Guoliang Kang, Weidi Xie, Efstratios Gavves:
VISA: Reasoning Video Object Segmentation via Large Language Models. CoRR abs/2407.11325 (2024) - [i73]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 abs/2407.12427 (2024) - [i72]Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
SIGMA: Sinkhorn-Guided Masked Video Modeling. CoRR abs/2407.15447 (2024) - 2023
- [j13]Lucas de Vries, Bart J. Emmer, Charles B. L. M. Majoie, Henk A. Marquering, Efstratios Gavves:
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke. Medical Image Anal. 85: 102749 (2023) - [j12]Lucas de Vries, Rudolf L. M. van Herten, Jan W. Hoving, Ivana Isgum, Bart J. Emmer, Charles B. L. M. Majoie, Henk A. Marquering, Efstratios Gavves:
Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke. Medical Image Anal. 90: 102971 (2023) - [j11]Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves:
PC-Reg: A pyramidal prediction-correction approach for large deformation image registration. Medical Image Anal. 90: 102978 (2023) - [c80]Haochen Wang, Xiaolong Jiang, Xu Tang, Yao Hu, Cilin Yan, Weidi Xie, Shuai Wang, Efstratios Gavves:
Towards Open-Vocabulary Video Instance Segmentation. ICCV 2023: 4034-4043 - [c79]Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. ICCV 2023: 16490-16501 - [c78]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: 3316-3325 - [c77]Philipp Gérard Tréemuel, Efstratios Gavves, Christoph Würsch, Klaus Frick, Robin Vetsch:
Parameter-free Neural Field-based Optimal Design of Nonuniform Transmission Lines. ICECS 2023: 1-4 - [c76]David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke:
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. ICLR 2023 - [c75]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. ICLR 2023 - [c74]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 - [c73]Adeel Pervez, Phillip Lippe, Efstratios Gavves:
Differentiable Mathematical Programming for Object-Centric Representation Learning. ICLR 2023 - [c72]Adeel Pervez, Phillip Lippe, Efstratios Gavves:
Scalable Subset Sampling with Neural Conditional Poisson Networks. ICLR 2023 - [c71]Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves:
Graph Switching Dynamical Systems. ICML 2023: 21867-21883 - [c70]Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke:
Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. MICCAI (10) 2023: 481-490 - [c69]Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves:
Modulated Neural ODEs. NeurIPS 2023 - [c68]Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves:
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. NeurIPS 2023 - [c67]Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves:
Learning Lie Group Symmetry Transformations with Neural Networks. TAG-ML 2023: 50-59 - [c66]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
BISCUIT: Causal Representation Learning from Binary Interactions. UAI 2023: 1263-1273 - [i71]Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves:
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. CoRR abs/2301.03194 (2023) - [i70]David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke:
Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN. CoRR abs/2301.10540 (2023) - [i69]Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves:
Invariant Neural Ordinary Differential Equations. CoRR abs/2302.13262 (2023) - [i68]Haochen Wang, Shuai Wang, Cilin Yan, Xiaolong Jiang, Xu Tang, Yao Hu, Weidi Xie, Efstratios Gavves:
Towards Open-Vocabulary Video Instance Segmentation. CoRR abs/2304.01715 (2023) - [i67]Cilin Yan, Haochen Wang, Jie Liu, Xiaolong Jiang, Yao Hu, Xu Tang, Guoliang Kang, Efstratios Gavves:
PiClick: Picking the desired mask in click-based interactive segmentation. CoRR abs/2304.11609 (2023) - [i66]Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves:
Graph Switching Dynamical Systems. CoRR abs/2306.00370 (2023) - [i65]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
BISCUIT: Causal Representation Learning from Binary Interactions. CoRR abs/2306.09643 (2023) - [i64]Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves:
Learning Lie Group Symmetry Transformations with Neural Networks. CoRR abs/2307.01583 (2023) - [i63]Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves:
Neural Modulation Fields for Conditional Cone Beam Neural Tomography. CoRR abs/2307.08351 (2023) - [i62]Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. CoRR abs/2308.11796 (2023) - [i61]Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves:
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields. CoRR abs/2310.20679 (2023) - [i60]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 abs/2311.08851 (2023) - [i59]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 abs/2312.08895 (2023) - [i58]Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves:
How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CoRR abs/2312.10531 (2023) - 2022
- [j10]Riaan Zoetmulder, Efstratios Gavves, Matthan W. A. Caan, Henk A. Marquering:
Domain- and task-specific transfer learning for medical segmentation tasks. Comput. Methods Programs Biomed. 214: 106539 (2022) - [j9]Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen:
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer. Medical Image Anal. 79: 102464 (2022) - [c65]Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves:
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. BMVC 2022: 126 - [c64]Leonard Bereska, Efstratios Gavves:
Continual Learning of Dynamical Systems With Competitive Federated Reservoir Computing. CoLLAs 2022: 335-350 - [c63]Haochen Wang, Jiayi Shen, Yongtuo Liu, Yan Gao, Efstratios Gavves:
NFormer: Robust Person Re-identification with Neighbor Transformer. CVPR 2022: 7287-7297 - [c62]Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves:
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. CVPR 2022: 11543-11552 - [c61]Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli:
Delta Distillation for Efficient Video Processing. ECCV (35) 2022: 213-229 - [c60]Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. ECCV (3) 2022: 485-502 - [c59]Phillip Lippe, Taco Cohen, Efstratios Gavves:
Efficient Neural Causal Discovery without Acyclicity Constraints. ICLR 2022 - [c58]Adeel Pervez, Efstratios Gavves:
Stability Regularization for Discrete Representation Learning. ICLR 2022 - [c57]Pieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen:
Tumor tracking in 4D CT images for adaptive radiotherapy. Medical Imaging: Image Processing 2022 - [c56]Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-Jakob Sonke, Efstratios Gavves:
Dynamic Transformer for Few-shot Instance Segmentation. ACM Multimedia 2022: 2969-2977 - [c55]ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling:
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel. NeurIPS 2022 - [i57]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
CITRIS: Causal Identifiability from Temporal Intervened Sequences. CoRR abs/2202.03169 (2022) - [i56]Tessa van der Heiden, Herke van Hoof, Efstratios Gavves, Christoph Salge:
Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment. CoRR abs/2203.03355 (2022) - [i55]Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli:
Delta Distillation for Efficient Video Processing. CoRR abs/2203.09594 (2022) - [i54]Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. CoRR abs/2203.17178 (2022) - [i53]Haochen Wang, Jiayi Shen, Yongtuo Liu, Yan Gao, Efstratios Gavves:
NFormer: Robust Person Re-identification with Neighbor Transformer. CoRR abs/2204.09331 (2022) - [i52]Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves:
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. CoRR abs/2204.10638 (2022) - [i51]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) - [i50]David W. Romero, David M. Knigge, Albert Gu, Erik J. Bekkers, Efstratios Gavves, Jakub M. Tomczak, Mark Hoogendoorn:
Towards a General Purpose CNN for Long Range Dependencies in ND. CoRR abs/2206.03398 (2022) - [i49]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. CoRR abs/2206.06169 (2022) - [i48]Leonard Bereska, Efstratios Gavves:
Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing. CoRR abs/2206.13336 (2022) - [i47]Adeel Pervez, Phillip Lippe, Efstratios Gavves:
Differentiable Mathematical Programming for Object-Centric Representation Learning. CoRR abs/2210.02159 (2022) - 2021
- [j8]Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek:
Unsharp Mask Guided Filtering. IEEE Trans. Image Process. 30: 7472-7485 (2021) - [c54]Deepak K. Gupta, Devanshu Arya, Efstratios Gavves:
Rotation Equivariant Siamese Networks for Tracking. CVPR 2021: 12362-12371 - [c53]Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves:
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. ICCV 2021: 2793-2803 - [c52]Phillip Lippe, Efstratios Gavves:
Categorical Normalizing Flows via Continuous Transformations. ICLR 2021 - [c51]Yunlu Chen, Basura Fernando, Hakan Bilen, Thomas Mensink, Efstratios Gavves:
Neural Feature Matching in Implicit 3D Representations. ICML 2021: 1582-1593 - [c50]Adeel Pervez, Efstratios Gavves:
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders. ICML 2021: 8536-8545 - [c49]Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves:
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. NeurIPS 2021: 6417-6429 - [c48]ChangYong Oh, Efstratios Gavves, Max Welling:
Mixed variable Bayesian optimization with frequency modulated kernels. UAI 2021: 950-960 - [d1]Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves:
3D Charged Particles Dataset - Roto-translated Local Coordinate Frames for Interacting Dynamical Systems. Zenodo, 2021
- [i46]ChangYong Oh, Efstratios Gavves, Max Welling:
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels. CoRR abs/2102.12792 (2021) - [i45]ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling:
Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. CoRR abs/2102.13382 (2021) - [i44]Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves:
Sparse-Shot Learning for Extremely Many Localisations. CoRR abs/2104.10425 (2021) - [i43]Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek:
Unsharp Mask Guided Filtering. CoRR abs/2106.01428 (2021) - [i42]Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling:
Federated Mixture of Experts. CoRR abs/2107.06724 (2021) - [i41]Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen:
DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images. CoRR abs/2107.09405 (2021) - [i40]Phillip Lippe, Taco Cohen, Efstratios Gavves:
Efficient Neural Causal Discovery without Acyclicity Constraints. CoRR abs/2107.10483 (2021) - [i39]Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen:
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. CoRR abs/2109.05892 (2021) - [i38]Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves:
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. CoRR abs/2110.14961 (2021) - 2020
- [c47]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 - [c46]Adeel Pervez, Taco Cohen, Efstratios Gavves:
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks. ICML 2020: 7632-7640 - [c45]Mert Kilickaya, Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
Self-Selective Context for Interaction Recognition. ICPR 2020: 2280-2287 - [c44]Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders:
Model Decay in Long-Term Tracking. ICPR 2020: 2685-2692 - [c43]Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders:
Tackling Occlusion in Siamese Tracking with Structured Dropouts. ICPR 2020: 5804-5811 - [c42]Shuai Liao, Efstratios Gavves, ChangYong Oh, Cees G. M. Snoek:
Quasibinary Classifier for Images with Zero and Multiple Labels. ICPR 2020: 8743-8750 - [c41]Andreas Panteli, Deepak K. Gupta, Nathan de Bruijn, Efstratios Gavves:
Siamese Tracking of Cell Behaviour Patterns. MIDL 2020: 570-587 - [i37]Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
PIC: Permutation Invariant Convolution for Recognizing Long-range Activities. CoRR abs/2003.08275 (2020) - [i36]Phillip Lippe, Efstratios Gavves:
Categorical Normalizing Flows via Continuous Transformations. CoRR abs/2006.09790 (2020) - [i35]Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders:
Tackling Occlusion in Siamese Tracking with Structured Dropouts. CoRR abs/2006.16571 (2020) - [i34]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) - [i33]Mert Kilickaya, Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
Self-Selective Context for Interaction Recognition. CoRR abs/2010.08750 (2020) - [i32]Maximilian Filtenborg, Efstratios Gavves, Deepak Gupta:
Siamese Tracking with Lingual Object Constraints. CoRR abs/2011.11721 (2020) - [i31]Tessa van der Heiden, Christoph Salge, Efstratios Gavves, Herke van Hoof:
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication. CoRR abs/2012.08255 (2020) - [i30]Deepak K. Gupta, Devanshu Arya, Efstratios Gavves:
Rotation Equivariant Siamese Networks for Tracking. CoRR abs/2012.13078 (2020)
2010 – 2019
- 2019
- [c40]Yunlu Chen, Thomas Mensink, Efstratios Gavves:
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. 3DV 2019: 173-182 - [c39]Peter O'Connor, Efstratios Gavves, Max Welling:
Training a Spiking Neural Network with Equilibrium Propagation. AISTATS 2019: 1516-1523 - [c38]Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
Timeception for Complex Action Recognition. CVPR 2019: 254-263 - [c37]Shuai Liao, Efstratios Gavves, Cees G. M. Snoek:
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres. CVPR 2019: 9759-9767 - [c36]Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian:
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. ICCV Workshops 2019: 951-960 - [c35]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c34]Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling:
Relaxed Quantization for Discretized Neural Networks. ICLR (Poster) 2019 - [c33]Peter O'Connor, Efstratios Gavves, Max Welling:
Initialized Equilibrium Propagation for Backprop-Free Training. ICLR (Poster) 2019 - [c32]ChangYong Oh, Jakub M. Tomczak, Efstratios Gavves, Max Welling:
Combinatorial Bayesian Optimization using the Graph Cartesian Product. NeurIPS 2019: 2910-2920 - [i29]ChangYong Oh, Jakub M. Tomczak, Efstratios Gavves, Max Welling:
Combinatorial Bayesian Optimization using Graph Representations. CoRR abs/1902.00448 (2019) - [i28]Shuai Liao, Efstratios Gavves, Cees G. M. Snoek:
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres. CoRR abs/1904.05404 (2019) - [i27]Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
VideoGraph: Recognizing Minutes-Long Human Activities in Videos. CoRR abs/1905.05143 (2019) - [i26]Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders:
Model Decay in Long-Term Tracking. CoRR abs/1908.01603 (2019) - [i25]Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian:
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. CoRR abs/1908.02711 (2019) - [i24]Yunlu Chen, Thomas Mensink, Efstratios Gavves:
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. CoRR abs/1910.01460 (2019) - [i23]Tim R. Davidson, Jakub M. Tomczak, Efstratios Gavves:
Increasing Expressivity of a Hyperspherical VAE. CoRR abs/1910.02912 (2019) - [i22]Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss, Efstratios Gavves:
SafeCritic: Collision-Aware Trajectory Prediction. CoRR abs/1910.06673 (2019) - [i21]Deepak K. Gupta, Nathan de Bruijn, Andreas Panteli, Efstratios Gavves:
Tracking-Assisted Segmentation of Biological Cells. CoRR abs/1910.08735 (2019) - 2018
- [j7]Zhenyang Li, Kirill Gavrilyuk, Efstratios Gavves, Mihir Jain, Cees G. M. Snoek:
VideoLSTM convolves, attends and flows for action recognition. Comput. Vis. Image Underst. 166: 41-50 (2018) - [j6]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars:
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1932-1947 (2018) - [j5]Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi:
Action Recognition with Dynamic Image Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2799-2813 (2018) - [c31]Amir Ghodrati, Efstratios Gavves, Cees Snoek:
Video Time: Properties, Encoders and Evaluation. BMVC 2018: 160 - [c30]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c29]Sindi Shkodrani, Michael Hofmann, Efstratios Gavves:
Dynamic Adaptation on Non-stationary Visual Domains. ECCV Workshops (2) 2018: 158-171 - [c28]Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves:
Long-Term Tracking in the Wild: A Benchmark. ECCV (3) 2018: 692-707 - [c27]Peter O'Connor, Efstratios Gavves, Matthias Reisser, Max Welling:
Temporally Efficient Deep Learning with Spikes. ICLR (Poster) 2018 - [c26]ChangYong Oh, Efstratios Gavves, Max Welling:
BOCK : Bayesian Optimization with Cylindrical Kernels. ICML 2018: 3865-3874 - [c25]Shuai Liao, Efstratios Gavves, Cees G. M. Snoek:
Searching and Matching Texture-free 3D Shapes in Images. ICMR 2018: 326-334 - [c24]Thijs Scheepers, Evangelos Kanoulas, Efstratios Gavves:
Improving Word Embedding Compositionality using Lexicographic Definitions. WWW 2018: 1083-1093 - [i20]Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves:
Long-term Tracking in the Wild: A Benchmark. CoRR abs/1803.09502 (2018) - [i19]ChangYong Oh, Efstratios Gavves, Max Welling:
BOCK : Bayesian Optimization with Cylindrical Kernels. CoRR abs/1806.01619 (2018) - [i18]Amir Ghodrati, Efstratios Gavves, Cees G. M. Snoek:
Video Time: Properties, Encoders and Evaluation. CoRR abs/1807.06980 (2018) - [i17]Sindi Shkodrani, Michael Hofmann, Efstratios Gavves:
Dynamic Adaptation on Non-Stationary Visual Domains. CoRR abs/1808.00736 (2018) - [i16]Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling:
Relaxed Quantization for Discretized Neural Networks. CoRR abs/1810.01875 (2018) - [i15]Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
Timeception for Complex Action Recognition. CoRR abs/1812.01289 (2018) - 2017
- [j4]Basura Fernando, Efstratios Gavves, José Oramas Mogrovejo, Amir Ghodrati, Tinne Tuytelaars:
Rank Pooling for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 773-787 (2017) - [c23]Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection. CVPR 2017: 2087-2096 - [c22]Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould:
Self-Supervised Video Representation Learning with Odd-One-Out Networks. CVPR 2017: 5729-5738 - [c21]Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders:
Tracking by Natural Language Specification. CVPR 2017: 7350-7358 - [i14]Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection. CoRR abs/1705.02148 (2017) - [i13]Peter O'Connor, Efstratios Gavves, Max Welling:
Temporally Efficient Deep Learning with Spikes. CoRR abs/1706.04159 (2017) - [i12]Ran Tao, Efstratios Gavves, Arnold W. M. Smeulders:
Tracking for Half an Hour. CoRR abs/1711.10217 (2017) - [i11]Mircea Mironenco, Dana Kianfar, Ke M. Tran, Evangelos Kanoulas, Efstratios Gavves:
Examining Cooperation in Visual Dialog Models. CoRR abs/1712.01329 (2017) - 2016
- [c20]Ran Tao, Efstratios Gavves, Arnold W. M. Smeulders:
Siamese Instance Search for Tracking. CVPR 2016: 1420-1429 - [c19]Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould:
Dynamic Image Networks for Action Recognition. CVPR 2016: 3034-3042 - [c18]Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars:
Deep Reflectance Maps. CVPR 2016: 4508-4516 - [c17]Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, Cees Snoek, Tinne Tuytelaars:
Online Action Detection. ECCV (5) 2016: 269-284 - [c16]Efstratios Gavves:
A Novel Perspective of Image Search for Tracking and Actions. MADiMa @ ACM Multimedia 2016: 29 - [c15]Cees G. M. Snoek, Jianfeng Dong, Xirong Li, Xiaoxu Wang, Qijie Wei, Weiyu Lan, Efstratios Gavves, Noureldien Hussein, Dennis C. Koelma, Arnold W. M. Smeulders:
University of Amsterdam and Renmin University at TRECVID 2016: Searching Video, Detecting Events and Describing Video. TRECVID 2016 - [i10]Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, Cees Snoek, Tinne Tuytelaars:
Online Action Detection. CoRR abs/1604.06506 (2016) - [i9]Ran Tao, Efstratios Gavves, Arnold W. M. Smeulders:
Siamese Instance Search for Tracking. CoRR abs/1605.05863 (2016) - [i8]Zhenyang Li, Efstratios Gavves, Mihir Jain, Cees G. M. Snoek:
VideoLSTM Convolves, Attends and Flows for Action Recognition. CoRR abs/1607.01794 (2016) - [i7]Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould:
Self-Supervised Video Representation Learning With Odd-One-Out Networks. CoRR abs/1611.06646 (2016) - [i6]Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi:
Action Recognition with Dynamic Image Networks. CoRR abs/1612.00738 (2016) - 2015
- [j3]Efstratios Gavves, Basura Fernando, Cees G. M. Snoek, Arnold W. M. Smeulders, Tinne Tuytelaars:
Local Alignments for Fine-Grained Categorization. Int. J. Comput. Vis. 111(2): 191-212 (2015) - [c14]Basura Fernando, Efstratios Gavves, José Oramas M., Amir Ghodrati, Tinne Tuytelaars:
Modeling video evolution for action recognition. CVPR 2015: 5378-5387 - [c13]Xu Jia, Efstratios Gavves, Basura Fernando, Tinne Tuytelaars:
Guiding the Long-Short Term Memory Model for Image Caption Generation. ICCV 2015: 2407-2415 - [c12]Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars:
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. ICCV 2015: 2731-2739 - [c11]Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars:
Learning to Rank Based on Subsequences. ICCV 2015: 2785-2793 - [i5]Xu Jia, Efstratios Gavves, Basura Fernando, Tinne Tuytelaars:
Guiding Long-Short Term Memory for Image Caption Generation. CoRR abs/1509.04942 (2015) - [i4]Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars:
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. CoRR abs/1510.01544 (2015) - [i3]Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars:
Deep Reflectance Maps. CoRR abs/1511.04384 (2015) - [i2]Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars:
MidRank: Learning to rank based on subsequences. CoRR abs/1511.08951 (2015) - [i1]Basura Fernando, Efstratios Gavves, José Oramas M., Amir Ghodrati, Tinne Tuytelaars:
Rank Pooling for Action Recognition. CoRR abs/1512.01848 (2015) - 2014
- [j2]Masoud Mazloom, Efstratios Gavves, Cees G. M. Snoek:
Conceptlets: Selective Semantics for Classifying Video Events. IEEE Trans. Multim. 16(8): 2214-2228 (2014) - [c10]Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders:
Locality in Generic Instance Search from One Example. CVPR 2014: 2099-2106 - [c9]Thomas Mensink, Efstratios Gavves, Cees G. M. Snoek:
COSTA: Co-Occurrence Statistics for Zero-Shot Classification. CVPR 2014: 2441-2448 - [c8]Zhenyang Li, Efstratios Gavves, Thomas Mensink, Cees G. M. Snoek:
Attributes Make Sense on Segmented Objects. ECCV (6) 2014: 350-365 - 2013
- [c7]Efstratios Gavves, Basura Fernando, Cees G. M. Snoek, Arnold W. M. Smeulders, Tinne Tuytelaars:
Fine-Grained Categorization by Alignments. ICCV 2013: 1713-1720 - [c6]Zhenyang Li, Efstratios Gavves, Koen E. A. van de Sande, Cees G. M. Snoek, Arnold W. M. Smeulders:
Codemaps - Segment, Classify and Search Objects Locally. ICCV 2013: 2136-2143 - [c5]Masoud Mazloom, Efstratios Gavves, Koen E. A. van de Sande, Cees Snoek:
Searching informative concept banks for video event detection. ICMR 2013: 255-262 - 2012
- [j1]Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders:
Visual synonyms for landmark image retrieval. Comput. Vis. Image Underst. 116(2): 238-249 (2012) - [c4]Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders:
Convex reduction of high-dimensional kernels for visual classification. CVPR 2012: 3610-3617 - 2011
- [c3]Xirong Li, Efstratios Gavves, Cees G. M. Snoek, Marcel Worring, Arnold W. M. Smeulders:
Personalizing automated image annotation using cross-entropy. ACM Multimedia 2011: 233-242 - 2010
- [c2]Efstratios Gavves, Cees G. M. Snoek:
Landmark image retrieval using visual synonyms. ACM Multimedia 2010: 1123-1126 - [c1]Cees Snoek, Koen E. A. van de Sande, Ork de Rooij, Bouke Huurnink, Efstratios Gavves, Daan Odijk, Maarten de Rijke, Theo Gevers, Marcel Worring, Dennis C. Koelma, Arnold W. M. Smeulders:
The MediaMill TRECVID 2010 Semantic Video Search Engine. TRECVID 2010
Coauthor Index
Yuki Markus Asano
aka: Yuki M. Asano
aka: Yuki M. Asano
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
Cees Snoek
aka: Cees G. M. Snoek
aka: Cees G. M. Snoek
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