← Authors

Efstratios Gavves

69 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (4) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer πŸƒ Academic Marathon (12) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (225) πŸ’Ž Century Club (69) πŸ”₯ Unstoppable (13)

Conferences

CVPR (18) ICLR (16) ICCV (9) ECCV (8) ICML (7) NIPS (6) UAI (3) AISTATS (1) MIDL (1)

Top co-authors

Jan-Jakob Sonke (9) Max Welling (8) Cees G. M. Snoek (8) Phillip Lippe (8) Arnold W.M. Smeulders (7) Basura Fernando (7) Adeel Pervez (6) Jie Liu (6) Tinne Tuytelaars (5) Mohammadreza Salehi (5)

Research topics

Computer Vision (1) Privacy (1) Core AI (1)

Keywords

hyperparameter optimization (4) self-supervised learning (4) bayesian optimization (4) action recognition (4) representation learning (4) semantic segmentation (3) latent space (3) dynamical system (3) video representation (3) gaussian process (3) video understanding (3) object tracking (3) neural field (3) convolutional neural network (2) siamese neural network (2) zero-shot learning (2) visual tracking (2) few-shot learning (2) combinatorial optimization (2) metric learning (2)

Papers

Mechanistic PDE Networks for Discovery of Governing Equations ICML 2025
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes ICML 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 2025
MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning ICCV 2025
Any-Resolution AI-Generated Image Detection by Spectral Learning CVPR 2025
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation ICLR 2025
Grounding Continuous Representations in Geometry: Equivariant Neural Fields ICLR 2025
Language Agents Meet Causality -- Bridging LLMs and Causal World Models ICLR 2025
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning CVPR 2025
Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination ICLR 2025
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
Domain Adaptation with Cauchy-Schwarz Divergence UAI 2024
Graph Neural Networks for Learning Equivariant Representations of Neural Networks ICLR 2024
How to Train Neural Field Representations: A Comprehensive Study and Benchmark CVPR 2024
SIGMA: Sinkhorn-Guided Masked Video Modeling ECCV 2024
Differentiable Mathematical Programming for Object-Centric Representation Learning ICLR 2023
Scalable Subset Sampling with Neural Conditional Poisson Networks ICLR 2023
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems ICLR 2023
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection ICLR 2023
Graph Switching Dynamical Systems ICML 2023
Modulated Neural ODEs NIPS 2023
Towards Open-Vocabulary Video Instance Segmentation ICCV 2023
BISCUIT: Causal Representation Learning from Binary Interactions UAI 2023
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN ICLR 2023
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields NIPS 2023
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations ICCV 2023
Delta Distillation for Efficient Video Processing ECCV 2022
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel NIPS 2022
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation CVPR 2022
NFormer: Robust Person Re-Identification With Neighbor Transformer CVPR 2022
3D Equivariant Graph Implicit Functions ECCV 2022
Efficient Neural Causal Discovery without Acyclicity Constraints ICLR 2022
Stability Regularization for Discrete Representation Learning ICLR 2022
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems NIPS 2021
Categorical Normalizing Flows via Continuous Transformations ICLR 2021
Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations ICCV 2021
Neural Feature Matching in Implicit 3D Representations ICML 2021
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021
Rotation Equivariant Siamese Networks for Tracking CVPR 2021
Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021
PointMixup: Augmentation for Point Clouds ECCV 2020
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020
Siamese Tracking of Cell Behaviour Patterns MIDL 2020
Combinatorial Bayesian Optimization using the Graph Cartesian Product NIPS 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
Relaxed Quantization for Discretized Neural Networks ICLR 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
Guiding the Long-Short Term Memory Model for Image Caption Generation ICCV 2015
Learning to Rank Based on Subsequences ICCV 2015
Modeling Video Evolution for Action Recognition CVPR 2015
Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks 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