Gavves, Efstratios

84 publications

CVPR 2025 Any-Resolution AI-Generated Image Detection by Spectral Learning Dimitrios Karageorgiou, Symeon Papadopoulos, Ioannis Kompatsiaris, Efstratios Gavves

CVPR 2025 CTRL-O: Language-Controllable Object-Centric Visual Representation Learning Aniket Didolkar, Andrii Zadaianchuk, Rabiul Awal, Maximilian Seitzer, Efstratios Gavves, Aishwarya Agrawal

ICLR 2025 CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves

ICLR 2025 Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni, Efstratios Gavves

ICLR 2025 Grounding Continuous Representations in Geometry: Equivariant Neural Fields David Wessels, David M Knigge, Riccardo Valperga, Samuele Papa, Sharvaree Vadgama, Efstratios Gavves, Erik J Bekkers

ICLR 2025 Language Agents Meet Causality -- Bridging LLMs and Causal World Models John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov

CVPR 2025 LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty Christoforos N. Spartalis, Theodoros Semertzidis, Efstratios Gavves, Petros Daras

ICML 2025 Mechanistic PDE Networks for Discovery of Governing Equations Adeel Pervez, Efstratios Gavves, Francesco Locatello

ICCV 2025 MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning Mohammadreza Salehi, Shashanka Venkataramanan, Ioana Simion, Efstratios Gavves, Cees G. M. Snoek, Yuki M Asano

ICML 2025 Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves

ICCV 2025 Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-Shot Semantic Segmentation Jie Liu, Jiayi Shen, Pan Zhou, Jan-Jakob Sonke, Efstratios Gavves

NeurIPSW 2024 CTRL-O: Language-Controllable Object-Centric Visual Representation Learning Aniket Rajiv Didolkar, Andrii Zadaianchuk, Rabiul Awal, Maximilian Seitzer, Efstratios Gavves, Aishwarya Agrawal

ECCV 2024 Click Prompt Learning with Optimal Transport for Interactive Segmentation Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves

UAI 2024 Domain Adaptation with Cauchy-Schwarz Divergence Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke, Efstratios Gavves

ECCV 2024 GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features Luc P.J. Sträter, Mohammadreza Salehi, Efstratios Gavves, Cees G.M. Snoek, Yuki M. Asano

ICLR 2024 Graph Neural Networks for Learning Equivariant Representations of Neural Networks Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang

CVPR 2024 How to Train Neural Field Representations: A Comprehensive Study and Benchmark Samuele Papa, Riccardo Valperga, David Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves

NeurIPSW 2024 NARAIM: Native Aspect Ratio Autoregressive Image Models Daniel Gallo Fernández, Robert van der Klis, Răzvan-Andrei Matișan, Janusz Partyka, Samuele Papa, Efstratios Gavves, Phillip Lippe

ECCV 2024 SIGMA: Sinkhorn-Guided Masked Video Modeling Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees Snoek, Yuki M Asano

ICMLW 2024 STREAM: Embodied Reasoning Through Code Generation Daniil Cherniavskii, Phillip Lippe, Andrii Zadaianchuk, Efstratios Gavves

NeurIPS 2024 Space-Time Continuous PDE Forecasting Using Equivariant Neural Fields David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers

ECCV 2024 VISA: Reasoning Video Object Segmentation via Large Language Model Cilin Yan, Haochen Wang, Shilin Yan, Xiaolong Jiang, Yao Hu, Guoliang Kang, Weidi Xie, Efstratios Gavves

UAI 2023 BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M Asano, Taco Cohen, Efstratios Gavves

ICLR 2023 Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M Asano, Taco Cohen, Efstratios Gavves

NeurIPSW 2023 Data Augmentations in Deep Weight Spaces Aviv Shamsian, David Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan Burghouts, Efstratios Gavves, Cees Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron

ICLR 2023 Differentiable Mathematical Programming for Object-Centric Representation Learning Adeel Pervez, Phillip Lippe, Efstratios Gavves

ICLR 2023 Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban

ICML 2023 Graph Switching Dynamical Systems Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves

NeurIPS 2023 Latent Field Discovery in Interacting Dynamical Systems with Neural Fields Miltiadis Kofinas, Erik Bekkers, Naveen Nagaraja, Efstratios Gavves

ICMLW 2023 Learning Lie Group Symmetry Transformations with Neural Networks Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves

ICCVW 2023 Memory-Augmented Variational Adaptation for Online Few-Shot Segmentation Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves

ICLR 2023 Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN David M Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-jakob Sonke

NeurIPS 2023 Modulated Neural ODEs Ilze Amanda Auzina, Çağatay Yıldız, Sara Magliacane, Matthias Bethge, Efstratios Gavves

ICMLW 2023 Neural Modulation Fields for Conditional Cone Beam Neural Tomography Samuele Papa, David M Knigge, Riccardo Valperga, Nikita Moriakov, Miltiadis Kofinas, Jan-jakob Sonke, Efstratios Gavves

ICLR 2023 Scalable Subset Sampling with Neural Conditional Poisson Networks Adeel Pervez, Phillip Lippe, Efstratios Gavves

ICCV 2023 Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations Mohammadreza Salehi, Efstratios Gavves, Cees G.M. Snoek, Yuki M. Asano

ICCV 2023 Towards Open-Vocabulary Video Instance Segmentation Haochen Wang, Cilin Yan, Shuai Wang, Xiaolong Jiang, Xu Tang, Yao Hu, Weidi Xie, Efstratios Gavves

ECCV 2022 3D Equivariant Graph Implicit Functions Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves

NeurIPS 2022 Batch Bayesian Optimization on Permutations Using the Acquisition Weighted Kernel Changyong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling

ICLRW 2022 CITRIS: Causal Identifiability from Temporal Intervened Sequences Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M Asano, Taco Cohen, Efstratios Gavves

CoLLAs 2022 Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing Leonard Bereska, Efstratios Gavves

ECCV 2022 Delta Distillation for Efficient Video Processing Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli

CVPR 2022 Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves

ICLR 2022 Efficient Neural Causal Discovery Without Acyclicity Constraints Phillip Lippe, Taco Cohen, Efstratios Gavves

NeurIPSW 2022 Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban

NeurIPSW 2022 Latent GP-ODEs with Informative Priors Ilze Amanda Auzina, Cagatay Yildiz, Efstratios Gavves

CVPR 2022 NFormer: Robust Person Re-Identification with Neighbor Transformer Haochen Wang, Jiayi Shen, Yongtuo Liu, Yan Gao, Efstratios Gavves

ICLR 2022 Stability Regularization for Discrete Representation Learning Adeel Pervez, Efstratios Gavves

ICLR 2021 Categorical Normalizing Flows via Continuous Transformations Phillip Lippe, Efstratios Gavves

UAI 2021 Mixed Variable Bayesian Optimization with Frequency Modulated Kernels Changyong Oh, Efstratios Gavves, Max Welling

ICML 2021 Neural Feature Matching in Implicit 3D Representations Yunlu Chen, Basura Fernando, Hakan Bilen, Thomas Mensink, Efstratios Gavves

CVPR 2021 Rotation Equivariant Siamese Networks for Tracking Deepak K. Gupta, Devanshu Arya, Efstratios Gavves

NeurIPS 2021 Roto-Translated Local Coordinate Frames for Interacting Dynamical Systems Miltiadis Kofinas, Naveen Nagaraja, Efstratios Gavves

ICCV 2021 Sparse-Shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations Andreas Panteli, Jonas Teuwen, Hugo Horlings, Efstratios Gavves

ICML 2021 Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders Adeel Pervez, Efstratios Gavves

ICML 2020 Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks Adeel Pervez, Taco Cohen, Efstratios Gavves

ECCV 2020 PointMixup: Augmentation for Point Clouds Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek

NeurIPS 2019 Combinatorial Bayesian Optimization Using the Graph Cartesian Product Changyong Oh, Jakub Tomczak, Efstratios Gavves, Max Welling

ICCVW 2019 I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian

ICLR 2019 Initialized Equilibrium Propagation for Backprop-Free Training Peter O'Connor, Efstratios Gavves, Max Welling

ICLR 2019 Relaxed Quantization for Discretized Neural Networks Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results 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, Zhenhua 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

AISTATS 2019 Training a Spiking Neural Network with Equilibrium Propagation Peter O’Connor, Efstratios Gavves, Max Welling

ICML 2018 BOCK : Bayesian Optimization with Cylindrical Kernels ChangYong Oh, Efstratios Gavves, Max Welling

ECCVW 2018 Dynamic Adaptation on Non-Stationary Visual Domains Sindi Shkodrani, Michael Hofmann, Efstratios Gavves

ECCV 2018 Long-Term Tracking in the Wild: A Benchmark Jack Valmadre, Luca Bertinetto, Joao F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W.M. Smeulders, Philip H.S. Torr, Efstratios Gavves

ICLR 2018 Temporally Efficient Deep Learning with Spikes Peter O'Connor, Efstratios Gavves, Matthias Reisser, Max Welling

ECCVW 2018 The Sixth Visual Object Tracking VOT2018 Challenge Results 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 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, Zhenhua Feng, Zhihui Wang, Zhiqun He

CVPR 2017 Self-Supervised Video Representation Learning with Odd-One-Out Networks Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould

CVPR 2017 Tracking by Natural Language Specification Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W.M. Smeulders

CVPR 2017 Unified Embedding and Metric Learning for Zero-Exemplar Event Detection Noureldien Hussein, Efstratios Gavves, Arnold W.M. Smeulders

CVPR 2016 Deep Reflectance Maps Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars

CVPR 2016 Dynamic Image Networks for Action Recognition Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould

ECCV 2016 Online Action Detection Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, Cees Snoek, Tinne Tuytelaars

CVPR 2016 Siamese Instance Search for Tracking Ran Tao, Efstratios Gavves, Arnold W.M. Smeulders

ICCV 2015 Active Transfer Learning with Zero-Shot Priors: Reusing past Datasets for Future Tasks Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars

ICCV 2015 Guiding the Long-Short Term Memory Model for Image Caption Generation Xu Jia, Efstratios Gavves, Basura Fernando, Tinne Tuytelaars

ICCV 2015 Learning to Rank Based on Subsequences Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars

CVPR 2015 Modeling Video Evolution for Action Recognition Basura Fernando, Efstratios Gavves, Jose Oramas M., Amir Ghodrati, Tinne Tuytelaars

ECCV 2014 Attributes Make Sense on Segmented Objects Zhenyang Li, Efstratios Gavves, Thomas Mensink, Cees G. M. Snoek

CVPR 2014 COSTA: Co-Occurrence Statistics for Zero-Shot Classification Thomas Mensink, Efstratios Gavves, Cees G.M. Snoek

CVPR 2014 Locality in Generic Instance Search from One Example Ran Tao, Efstratios Gavves, Cees G.M. Snoek, Arnold W.M. Smeulders

ICCV 2013 Codemaps - Segment, Classify and Search Objects Locally Zhenyang Li, Efstratios Gavves, Koen E.A. van de Sande, Cees G.M. Snoek, Arnold W.M. Smeulders

CVPR 2012 Convex Reduction of High-Dimensional Kernels for Visual Classification Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders