Efstratios Gavves

research

∙ 08/22/2023

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

Spatially dense self-supervised learning is a rapidly growing problem do...

0 Mohammadreza Salehi, et al. ∙

research

∙ 07/17/2023

Neural Modulation Fields for Conditional Cone Beam Neural Tomography

Conventional Computed Tomography (CT) methods require large numbers of n...

0 Samuele Papa, et al. ∙

research

∙ 07/04/2023

Learning Lie Group Symmetry Transformations with Neural Networks

The problem of detecting and quantifying the presence of symmetries in d...

0 Alex Gabel, et al. ∙

research

∙ 06/16/2023

BISCUIT: Causal Representation Learning from Binary Interactions

Identifying the causal variables of an environment and how to intervene ...

0 Phillip Lippe, et al. ∙

research

∙ 06/01/2023

Graph Switching Dynamical Systems

Dynamical systems with complex behaviours, e.g. immune system cells inte...

0 Yongtuo Liu, et al. ∙

research

∙ 04/23/2023

PiClick: Picking the desired mask in click-based interactive segmentation

Click-based interactive segmentation enables productive pixel-level anno...

0 Cilin Yan, et al. ∙

research

∙ 04/04/2023

Towards Open-Vocabulary Video Instance Segmentation

Video Instance Segmentation(VIS) aims at segmenting and categorizing obj...

2 Haochen Wang, et al. ∙

research

∙ 02/26/2023

Invariant Neural Ordinary Differential Equations

Latent neural ordinary differential equations have been proven useful fo...

1 Ilze Amanda Auzina, et al. ∙

research

∙ 01/25/2023

Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN

Performant Convolutional Neural Network (CNN) architectures must be tail...

0 David M. Knigge, et al. ∙

research

∙ 10/05/2022

Differentiable Mathematical Programming for Object-Centric Representation Learning

We propose topology-aware feature partitioning into k disjoint partition...

62 Adeel Pervez, et al. ∙

research

∙ 06/27/2022

Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing

Machine learning recently proved efficient in learning differential equa...

8 Leonard Bereska, et al. ∙

research

∙ 06/13/2022

iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects

Causal representation learning is the task of identifying the underlying...

6 Phillip Lippe, et al. ∙

research

∙ 06/07/2022

Towards a General Purpose CNN for Long Range Dependencies in ND

The use of Convolutional Neural Networks (CNNs) is widespread in Deep Le...

26 David W. Romero, et al. ∙

research

∙ 05/28/2022

Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models

We aim for image-based novelty detection. Despite considerable progress,...

6 Hossein Mirzaei, et al. ∙

research

∙ 04/22/2022

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation

The key challenge for few-shot semantic segmentation (FSS) is how to tai...

9 Jie Liu, et al. ∙

research

∙ 04/20/2022

NFormer: Robust Person Re-identification with Neighbor Transformer

Person re-identification aims to retrieve persons in highly varying sett...

8 Haochen Wang, et al. ∙

research

∙ 03/31/2022

3D Equivariant Graph Implicit Functions

In recent years, neural implicit representations have made remarkable pr...

6 Yunlu Chen, et al. ∙

research

∙ 03/17/2022

Delta Distillation for Efficient Video Processing

This paper aims to accelerate video stream processing, such as object de...

3 Amirhossein Habibian, et al. ∙

research

∙ 03/07/2022

Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment

We consider multi-agent reinforcement learning (MARL) for cooperative co...

6 Tessa van der Heiden, et al. ∙

research

∙ 02/07/2022

CITRIS: Causal Identifiability from Temporal Intervened Sequences

Understanding the latent causal factors of a dynamical system from visua...

5 Phillip Lippe, et al. ∙

research

∙ 10/28/2021

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

Modelling interactions is critical in learning complex dynamical systems...

9 Miltiadis Kofinas, et al. ∙

research

∙ 09/13/2021

WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need

We present WeakSTIL, an interpretable two-stage weak label deep learning...

9 Yoni Schirris, et al. ∙

research

∙ 07/22/2021

Efficient Neural Causal Discovery without Acyclicity Constraints

Learning the structure of a causal graphical model using both observatio...

23 Phillip Lippe, et al. ∙

research

∙ 07/20/2021

DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H E whole-slide images

We propose a Deep learning-based weak label learning method for analysin...

9 Yoni Schirris, et al. ∙

research

∙ 07/14/2021

Federated Mixture of Experts

Federated learning (FL) has emerged as the predominant approach for coll...

22 Matthias Reisser, et al. ∙

research

∙ 06/02/2021

Unsharp Mask Guided Filtering

The goal of this paper is guided image filtering, which emphasizes the i...

0 Zenglin Shi, et al. ∙

research

∙ 04/21/2021

Sparse-Shot Learning for Extremely Many Localisations

Object localisation is typically considered in the context of regular im...

14 Andreas Panteli, et al. ∙

research

∙ 02/26/2021

Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels

In this work we propose a batch Bayesian optimization method for combina...

10 ChangYong Oh, et al. ∙

research

∙ 02/25/2021

Mixed Variable Bayesian Optimization with Frequency Modulated Kernels

The sample efficiency of Bayesian optimization(BO) is often boosted by G...

13 ChangYong Oh, et al. ∙

research

∙ 11/23/2020

Siamese Tracking with Lingual Object Constraints

Classically, visual object tracking involves following a target object t...

3 Maximilian Filtenborg, et al. ∙

research

∙ 10/17/2020

Self-Selective Context for Interaction Recognition

Human-object interaction recognition aims for identifying the relationsh...

8 Mert Kilickaya, et al. ∙

research

∙ 08/14/2020

PointMixup: Augmentation for Point Clouds

This paper introduces data augmentation for point clouds by interpolatio...

10 Yunlu Chen, et al. ∙

research

∙ 06/30/2020

Tackling Occlusion in Siamese Tracking with Structured Dropouts

Occlusion is one of the most difficult challenges in object tracking to ...

9 Deepak K. Gupta, et al. ∙

research

∙ 06/17/2020

Categorical Normalizing Flows via Continuous Transformations

Despite their popularity, to date, the application of normalizing flows ...

0 Phillip Lippe, et al. ∙

research

∙ 03/18/2020

PIC: Permutation Invariant Convolution for Recognizing Long-range Activities

Neural operations as convolutions, self-attention, and vector aggregatio...

1 Noureldien Hussein, et al. ∙

research

∙ 03/18/2020

Social navigation with human empowerment driven reinforcement learning

The next generation of mobile robots needs to be socially-compliant to b...

5 Tessa van der Heiden, et al. ∙

research

∙ 10/19/2019

Tracking-Assisted Segmentation of Biological Cells

U-Net and its variants have been demonstrated to work sufficiently well ...

36 Deepak K. Gupta, et al. ∙

research

∙ 10/15/2019

SafeCritic: Collision-Aware Trajectory Prediction

Navigating complex urban environments safely is a key to realize fully a...

16 Tessa van der Heiden, et al. ∙

research

∙ 10/07/2019

Increasing Expressivity of a Hyperspherical VAE

Learning suitable latent representations for observed, high-dimensional ...

32 Tim R. Davidson, et al. ∙

research

∙ 10/03/2019

3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation

A key challenge for RGB-D segmentation is how to effectively incorporate...

30 Yunlu Chen, et al. ∙

research

∙ 08/07/2019

I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation

Adversarial training has been recently employed for realizing structured...

7 Laurens Samson, et al. ∙

research

∙ 08/05/2019

Model Decay in Long-Term Tracking

Updating the tracker model with adverse bounding box predictions adds an...

3 Efstratios Gavves, et al. ∙

research

∙ 05/13/2019

VideoGraph: Recognizing Minutes-Long Human Activities in Videos

Many human activities take minutes to unfold. To represent them, related...

16 Noureldien Hussein, et al. ∙

research

∙ 04/10/2019

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

Many computer vision challenges require continuous outputs, but tend to ...

26 Shuai Liao, et al. ∙

research

∙ 02/01/2019

Combinatorial Bayesian Optimization using Graph Representations

This paper focuses on Bayesian Optimization - typically considered with ...

2 ChangYong Oh, et al. ∙

research

∙ 12/04/2018

Timeception for Complex Action Recognition

This paper focuses on the temporal aspect for recognizing human activiti...

0 Noureldien Hussein, et al. ∙

research

∙ 10/03/2018

Relaxed Quantization for Discretized Neural Networks

Neural network quantization has become an important research area due to...

2 Christos Louizos, et al. ∙

research

∙ 08/02/2018

Dynamic Adaptation on Non-Stationary Visual Domains

Domain adaptation aims to learn models on a supervised source domain tha...

8 Sindi Shkodrani, et al. ∙

research

∙ 07/18/2018

Video Time: Properties, Encoders and Evaluation

Time-aware encoding of frame sequences in a video is a fundamental probl...

8 Amir Ghodrati, et al. ∙

research

∙ 06/05/2018

BOCK : Bayesian Optimization with Cylindrical Kernels

A major challenge in Bayesian Optimization is the boundary issue (Swersk...

4 ChangYong Oh, et al. ∙

Efstratios Gavves

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