Efstratios Gavves

papers

748

total citations

papers (20)

Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel

NEURIPS 2022arXiv

citations

Delta Distillation for Efficient Video Processing

ECCV 2022arXiv

citations

Mechanistic Neural Networks for Scientific Machine Learning

ICML 2024arXiv

citations

Modulated Neural ODEs

NEURIPS 2023arXiv

citations

How to Train Neural Field Representations: A Comprehensive Study and Benchmark

CVPR 2024arXiv

citations

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields

NEURIPS 2023arXiv

citations

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty

CVPR 2025arXiv

citations

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning

CVPR 2025arXiv

citations

Amortized Equation Discovery in Hybrid Dynamical Systems

ICML 2024arXiv

citations

Ai-sampler: Adversarial Learning of Markov kernels with involutive maps

ICML 2024arXiv

citations

Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations

ICCV 2021arXiv

citations

Efstratios Gavves

papers (20)

PointMixup: Augmentation for Point Clouds

NFormer: Robust Person Re-Identification With Neighbor Transformer

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation

Towards Open-Vocabulary Video Instance Segmentation

Rotation Equivariant Siamese Networks for Tracking

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations

3D Equivariant Graph Implicit Functions

Any-Resolution AI-Generated Image Detection by Spectral Learning

Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel

Delta Distillation for Efficient Video Processing

Mechanistic Neural Networks for Scientific Machine Learning

Modulated Neural ODEs

How to Train Neural Field Representations: A Comprehensive Study and Benchmark

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning

Amortized Equation Discovery in Hybrid Dynamical Systems

Ai-sampler: Adversarial Learning of Markov kernels with involutive maps

Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations

papers (20)

PointMixup: Augmentation for Point Clouds

NFormer: Robust Person Re-Identification With Neighbor Transformer

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation

Towards Open-Vocabulary Video Instance Segmentation

Rotation Equivariant Siamese Networks for Tracking

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations

3D Equivariant Graph Implicit Functions

Any-Resolution AI-Generated Image Detection by Spectral Learning

Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel

Delta Distillation for Efficient Video Processing

Mechanistic Neural Networks for Scientific Machine Learning

Modulated Neural ODEs

How to Train Neural Field Representations: A Comprehensive Study and Benchmark

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning

Amortized Equation Discovery in Hybrid Dynamical Systems

Ai-sampler: Adversarial Learning of Markov kernels with involutive maps

Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations