Efstratios Gavves

34

Papers

8

Total Citations

Papers (34)

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

Any-Resolution AI-Generated Image Detection by Spectral Learning

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

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

Amortized Equation Discovery in Hybrid Dynamical Systems

Mechanistic Neural Networks for Scientific Machine Learning

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

Modeling Video Evolution for Action Recognition

Siamese Instance Search for Tracking

Dynamic Image Networks for Action Recognition

Deep Reflectance Maps

Unified Embedding and Metric Learning for Zero-Exemplar Event Detection

Self-Supervised Video Representation Learning With Odd-One-Out Networks

Tracking by Natural Language Specification

Timeception for Complex Action Recognition

Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres

Rotation Equivariant Siamese Networks for Tracking

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation

NFormer: Robust Person Re-Identification With Neighbor Transformer

Guiding the Long-Short Term Memory Model for Image Caption Generation

Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks

Learning to Rank Based on Subsequences

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

Towards Open-Vocabulary Video Instance Segmentation

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

PointMixup: Augmentation for Point Clouds

3D Equivariant Graph Implicit Functions

Delta Distillation for Efficient Video Processing

Combinatorial Bayesian Optimization using the Graph Cartesian Product

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields

Modulated Neural ODEs

BOCK : Bayesian Optimization with Cylindrical Kernels