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ORCIDEfstratios Gavves
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2020 – today
- 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) - [c82]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 - [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 - [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]