Efstratios Gavves
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
79
Venues
13
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
79 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | CTRL-O: Language-Controllable Object-Centric Visual Representation Learning. | Aniket Didolkar, Andrii Zadaianchuk, Rabiul Awal, Maximilian Seitzer, Efstratios Gavves, Aishwarya Agrawal |
| 2025 | CVPR | Any-Resolution AI-Generated Image Detection by Spectral Learning. | Dimitrios Karageorgiou, Symeon Papadopoulos, Ioannis Kompatsiaris, Efstratios Gavves |
| 2025 | CVPR | LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty. | Christoforos N. Spartalis, Theodoros Semertzidis, Efstratios Gavves, Petros Daras |
| 2025 | ICCV | Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-Shot Semantic Segmentation. | Jie Liu, Jiayi Shen, Pan Zhou, Jan-Jakob Sonke, Efstratios Gavves |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination. | Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni, Efstratios Gavves |
| 2025 | ICLR | Language Agents Meet Causality - Bridging LLMs and Causal World Models. | John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Grounding Continuous Representations in Geometry: Equivariant Neural Fields. | David R. Wessels, David M. Knigge, Riccardo Valperga, Samuele Papa, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers |
| 2025 | ICML | Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. | Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves |
| 2025 | ICML | Mechanistic PDE Networks for Discovery of Governing Equations. | Adeel Pervez, Efstratios Gavves, Francesco Locatello |
| 2025 | MICCAI | From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations. | Yoni Schirris, Eric Marcus, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves |
| 2024 | ACCV | Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection. | Mohammadreza Salehi, Nikolaos Apostolikas, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano |
| 2024 | CVPR | How to Train Neural Field Representations: A Comprehensive Study and Benchmark. | Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves |
| 2024 | ECCV | Click Prompt Learning with Optimal Transport for Interactive Segmentation. | Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves |
| 2024 | ECCV | SIGMA: Sinkhorn-Guided Masked Video Modeling. | Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano |
| 2024 | ECCV | GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. | Luc P. J. Strter, Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano |
| 2024 | ECCV | VISA: Reasoning Video Object Segmentation via Large Language Models. | Cilin Yan, Haochen Wang, Shilin Yan, Xiaolong Jiang, Yao Hu, Guoliang Kang, Weidi Xie, Efstratios Gavves |
| 2024 | ICIP | Vito: Vision Transformer Optimization Via Knowledge Distillation On Decoders. | Giovanni Bellitto, Renato Sortino, Paolo Spadaro, Simone Palazzo, Federica Proietto Salanitri, Giuseppe Fiameni, Efstratios Gavves, Concetto Spampinato |
| 2024 | ICLR | 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 |
| 2024 | UAI | Domain Adaptation with Cauchy-Schwarz Divergence. | Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke, Efstratios Gavves |
| 2023 | ICCV | Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. | Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano |
| 2023 | ICCV | Towards Open-Vocabulary Video Instance Segmentation. | Haochen Wang, Xiaolong Jiang, Xu Tang, Yao Hu, Cilin Yan, Weidi Xie, Shuai Wang, Efstratios Gavves |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. | Phillip Lippe, Sara Magliacane, Sindy Lwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Differentiable Mathematical Programming for Object-Centric Representation Learning. | Adeel Pervez, Phillip Lippe, Efstratios Gavves |
| 2023 | ICLR | Scalable Subset Sampling with Neural Conditional Poisson Networks. | Adeel Pervez, Phillip Lippe, Efstratios Gavves |
| 2023 | ICML | Graph Switching Dynamical Systems. | Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves |
| 2023 | MICCAI | Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. | Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke |
| 2023 | UAI | BISCUIT: Causal Representation Learning from Binary Interactions. | Phillip Lippe, Sara Magliacane, Sindy Lwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves |
| 2022 | BMVC | Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. | Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves |
| 2022 | CVPR | Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. | Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves |
| 2022 | CVPR | NFormer: Robust Person Re-identification with Neighbor Transformer. | Haochen Wang, Jiayi Shen, Yongtuo Liu, Yan Gao, Efstratios Gavves |
| 2022 | ECCV | 3D Equivariant Graph Implicit Functions. | Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Niener, Efstratios Gavves |
| 2022 | ECCV | Delta Distillation for Efficient Video Processing. | Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli |
| 2022 | ICLR | Efficient Neural Causal Discovery without Acyclicity Constraints. | Phillip Lippe, Taco Cohen, Efstratios Gavves |
| 2022 | ICLR | Stability Regularization for Discrete Representation Learning. | Adeel Pervez, Efstratios Gavves |
| 2021 | CVPR | Rotation Equivariant Siamese Networks for Tracking. | Deepak K. Gupta, Devanshu Arya, Efstratios Gavves |
| 2021 | ICCV | Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. | Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves |
| 2021 | ICLR | Categorical Normalizing Flows via Continuous Transformations. | Phillip Lippe, Efstratios Gavves |
| 2021 | ICML | Neural Feature Matching in Implicit 3D Representations. | Yunlu Chen, Basura Fernando, Hakan Bilen, Thomas Mensink, Efstratios Gavves |
| 2021 | ICML | Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders. | Adeel Pervez, Efstratios Gavves |
| 2021 | UAI | Mixed variable Bayesian optimization with frequency modulated kernels. | ChangYong Oh, Efstratios Gavves, Max Welling |
| 2020 | ECCV | PointMixup: Augmentation for Point Clouds. | Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek |
| 2020 | ICML | Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks. | Adeel Pervez, Taco Cohen, Efstratios Gavves |
| 2020 | ICPR | Model Decay in Long-Term Tracking. | Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders |
| 2020 | ICPR | Tackling Occlusion in Siamese Tracking with Structured Dropouts. | Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders |
| 2020 | ICPR | Self-Selective Context for Interaction Recognition. | Mert Kilickaya, Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders |
| 2020 | ICPR | Quasibinary Classifier for Images with Zero and Multiple Labels. | Shuai Liao, Efstratios Gavves, ChangYong Oh, Cees G. M. Snoek |
| 2019 | AISTATS | Training a Spiking Neural Network with Equilibrium Propagation. | Peter O'Connor, Efstratios Gavves, Max Welling |
| 2019 | CVPR | Timeception for Complex Action Recognition. | Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders |
| 2019 | CVPR | Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres. | Shuai Liao, Efstratios Gavves, Cees G. M. Snoek |
| 2019 | ICLR | Relaxed Quantization for Discretized Neural Networks. | Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling |
| 2019 | ICLR | Initialized Equilibrium Propagation for Backprop-Free Training. | Peter O'Connor, Efstratios Gavves, Max Welling |
| 2018 | BMVC | Video Time: Properties, Encoders and Evaluation. | Amir Ghodrati, Efstratios Gavves, Cees Snoek |
| 2018 | ECCV | The Sixth Visual Object Tracking VOT2018 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Toms Vojr, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernndez, lvaro Garca-Martn, lvaro Iglesias-Arias, A. Aydin Alatan, Abel Gonzlez-Garca, 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, Joo F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodrguez Herranz, Jos M. Martnez, 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-Moivar, 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 |
| 2018 | ECCV | Dynamic Adaptation on Non-stationary Visual Domains. | Sindi Shkodrani, Michael Hofmann, Efstratios Gavves |
| 2018 | ECCV | Long-Term Tracking in the Wild: A Benchmark. | Jack Valmadre, Luca Bertinetto, Joo F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves |
| 2018 | ICLR | Temporally Efficient Deep Learning with Spikes. | Peter O'Connor, Efstratios Gavves, Matthias Reisser, Max Welling |
| 2018 | ICML | BOCK : Bayesian Optimization with Cylindrical Kernels. | ChangYong Oh, Efstratios Gavves, Max Welling |
| 2018 | WWW | Improving Word Embedding Compositionality using Lexicographic Definitions. | Thijs Scheepers, Evangelos Kanoulas, Efstratios Gavves |
| 2017 | CVPR | Self-Supervised Video Representation Learning with Odd-One-Out Networks. | Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould |
| 2017 | CVPR | Unified Embedding and Metric Learning for Zero-Exemplar Event Detection. | Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders |
| 2017 | CVPR | Tracking by Natural Language Specification. | Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders |
| 2016 | CVPR | Dynamic Image Networks for Action Recognition. | Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould |
| 2016 | CVPR | Deep Reflectance Maps. | Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars |
| 2016 | CVPR | Siamese Instance Search for Tracking. | Ran Tao, Efstratios Gavves, Arnold W. M. Smeulders |
| 2016 | ECCV | Online Action Detection. | Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, Cees Snoek, Tinne Tuytelaars |
| 2015 | CVPR | Modeling video evolution for action recognition. | Basura Fernando, Efstratios Gavves, Jos Oramas M., Amir Ghodrati, Tinne Tuytelaars |
| 2015 | ICCV | Learning to Rank Based on Subsequences. | Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars |
| 2015 | ICCV | 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 |
| 2015 | ICCV | Guiding the Long-Short Term Memory Model for Image Caption Generation. | Xu Jia, Efstratios Gavves, Basura Fernando, Tinne Tuytelaars |
| 2014 | CVPR | COSTA: Co-Occurrence Statistics for Zero-Shot Classification. | Thomas Mensink, Efstratios Gavves, Cees G. M. Snoek |
| 2014 | CVPR | Locality in Generic Instance Search from One Example. | Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders |
| 2014 | ECCV | Attributes Make Sense on Segmented Objects. | Zhenyang Li, Efstratios Gavves, Thomas Mensink, Cees G. M. Snoek |
| 2013 | ICCV | Fine-Grained Categorization by Alignments. | Efstratios Gavves, Basura Fernando, Cees G. M. Snoek, Arnold W. M. Smeulders, Tinne Tuytelaars |
| 2013 | ICCV | 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 |
| 2012 | CVPR | Convex reduction of high-dimensional kernels for visual classification. | Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders |