Efstratios Gavves

Mechanistic PDE Networks for Discovery of Governing Equations ICML 2025 Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes ICML 2025 Any-Resolution AI-Generated Image Detection by Spectral Learning CVPR 2025 MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning ICCV 2025 Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination ICLR 2025 Language Agents Meet Causality -- Bridging LLMs and Causal World Models ICLR 2025 Grounding Continuous Representations in Geometry: Equivariant Neural Fields ICLR 2025 Neural fields for tissue attenuation curve reconstruction in sparsely sampled time-resolved CT MIDL 2025 Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 2025 CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation ICLR 2025 CTRL-O: Language-Controllable Object-Centric Visual Representation Learning CVPR 2025 LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025 SIGMA: Sinkhorn-Guided Masked Video Modeling ECCV 2024 Graph Neural Networks for Learning Equivariant Representations of Neural Networks ICLR 2024 Domain Adaptation with Cauchy-Schwarz Divergence UAI 2024 How to Train Neural Field Representations: A Comprehensive Study and Benchmark CVPR 2024 VISA: Reasoning Video Object Segmentation via Large Language Model ECCV 2024 Click Prompt Learning with Optimal Transport for Interactive Segmentation ECCV 2024 GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features ECCV 2024 Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NIPS 2024 Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations ICCV 2023 Differentiable Mathematical Programming for Object-Centric Representation Learning ICLR 2023 Towards Open-Vocabulary Video Instance Segmentation ICCV 2023 BISCUIT: Causal Representation Learning from Binary Interactions UAI 2023 Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems ICLR 2023 Scalable Subset Sampling with Neural Conditional Poisson Networks ICLR 2023 Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN ICLR 2023 Modulated Neural ODEs NIPS 2023 Graph Switching Dynamical Systems ICML 2023 Latent Field Discovery in Interacting Dynamical Systems with Neural Fields NIPS 2023 Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection ICLR 2023 Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation CVPR 2022 3D Equivariant Graph Implicit Functions ECCV 2022 Delta Distillation for Efficient Video Processing ECCV 2022 Efficient Neural Causal Discovery without Acyclicity Constraints ICLR 2022 Stability Regularization for Discrete Representation Learning ICLR 2022 Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel NIPS 2022 NFormer: Robust Person Re-Identification With Neighbor Transformer CVPR 2022 Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations ICCV 2021 Categorical Normalizing Flows via Continuous Transformations ICLR 2021 Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021 Rotation Equivariant Siamese Networks for Tracking CVPR 2021 Roto-translated Local Coordinate Frames For Interacting Dynamical Systems NIPS 2021 Neural Feature Matching in Implicit 3D Representations ICML 2021 Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021 PointMixup: Augmentation for Point Clouds ECCV 2020 Siamese Tracking of Cell Behaviour Patterns MIDL 2020 Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020 Relaxed Quantization for Discretized Neural Networks ICLR 2019 Training a Spiking Neural Network with Equilibrium Propagation AISTATS 2019 Timeception for Complex Action Recognition CVPR 2019 Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres CVPR 2019 Combinatorial Bayesian Optimization using the Graph Cartesian Product NIPS 2019 Initialized Equilibrium Propagation for Backprop-Free Training ICLR 2019 BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018 Temporally Efficient Deep Learning with Spikes ICLR 2018 Long-term Tracking in the Wild: a Benchmark ECCV 2018 Self-Supervised Video Representation Learning With Odd-One-Out Networks CVPR 2017 Tracking by Natural Language Specification CVPR 2017 Unified Embedding and Metric Learning for Zero-Exemplar Event Detection CVPR 2017 Dynamic Image Networks for Action Recognition CVPR 2016 Deep Reflectance Maps CVPR 2016 Siamese Instance Search for Tracking CVPR 2016 Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks ICCV 2015 Learning to Rank Based on Subsequences ICCV 2015 Modeling Video Evolution for Action Recognition CVPR 2015 Guiding the Long-Short Term Memory Model for Image Caption Generation ICCV 2015 Locality in Generic Instance Search from One Example CVPR 2014 COSTA: Co-Occurrence Statistics for Zero-Shot Classification CVPR 2014 Codemaps - Segment, Classify and Search Objects Locally ICCV 2013