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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...
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07/17/2023
Neural Modulation Fields for Conditional Cone Beam Neural Tomography
Conventional Computed Tomography (CT) methods require large numbers of n...
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07/04/2023
Learning Lie Group Symmetry Transformations with Neural Networks
The problem of detecting and quantifying the presence of symmetries in d...
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06/16/2023
BISCUIT: Causal Representation Learning from Binary Interactions
Identifying the causal variables of an environment and how to intervene ...
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06/01/2023
Graph Switching Dynamical Systems
Dynamical systems with complex behaviours, e.g. immune system cells inte...
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04/23/2023
PiClick: Picking the desired mask in click-based interactive segmentation
Click-based interactive segmentation enables productive pixel-level anno...
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04/04/2023
Towards Open-Vocabulary Video Instance Segmentation
Video Instance Segmentation(VIS) aims at segmenting and categorizing obj...
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02/26/2023
Invariant Neural Ordinary Differential Equations
Latent neural ordinary differential equations have been proven useful fo...
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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...
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10/05/2022
Differentiable Mathematical Programming for Object-Centric Representation Learning
We propose topology-aware feature partitioning into k disjoint partition...
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06/27/2022
Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing
Machine learning recently proved efficient in learning differential equa...
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06/13/2022
iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects
Causal representation learning is the task of identifying the underlying...
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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...
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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,...
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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...
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04/20/2022
NFormer: Robust Person Re-identification with Neighbor Transformer
Person re-identification aims to retrieve persons in highly varying sett...
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03/31/2022
3D Equivariant Graph Implicit Functions
In recent years, neural implicit representations have made remarkable pr...
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03/17/2022
Delta Distillation for Efficient Video Processing
This paper aims to accelerate video stream processing, such as object de...
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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...
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02/07/2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Understanding the latent causal factors of a dynamical system from visua...
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10/28/2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Modelling interactions is critical in learning complex dynamical systems...
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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...
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07/22/2021
Efficient Neural Causal Discovery without Acyclicity Constraints
Learning the structure of a causal graphical model using both observatio...
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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...
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07/14/2021
Federated Mixture of Experts
Federated learning (FL) has emerged as the predominant approach for coll...
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06/02/2021
Unsharp Mask Guided Filtering
The goal of this paper is guided image filtering, which emphasizes the i...
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04/21/2021
Sparse-Shot Learning for Extremely Many Localisations
Object localisation is typically considered in the context of regular im...
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02/26/2021
Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels
In this work we propose a batch Bayesian optimization method for combina...
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02/25/2021
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels
The sample efficiency of Bayesian optimization(BO) is often boosted by G...
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11/23/2020
Siamese Tracking with Lingual Object Constraints
Classically, visual object tracking involves following a target object t...
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10/17/2020
Self-Selective Context for Interaction Recognition
Human-object interaction recognition aims for identifying the relationsh...
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08/14/2020
PointMixup: Augmentation for Point Clouds
This paper introduces data augmentation for point clouds by interpolatio...
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06/30/2020
Tackling Occlusion in Siamese Tracking with Structured Dropouts
Occlusion is one of the most difficult challenges in object tracking to ...
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06/17/2020
Categorical Normalizing Flows via Continuous Transformations
Despite their popularity, to date, the application of normalizing flows ...
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03/18/2020
PIC: Permutation Invariant Convolution for Recognizing Long-range Activities
Neural operations as convolutions, self-attention, and vector aggregatio...
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03/18/2020
Social navigation with human empowerment driven reinforcement learning
The next generation of mobile robots needs to be socially-compliant to b...
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10/19/2019
Tracking-Assisted Segmentation of Biological Cells
U-Net and its variants have been demonstrated to work sufficiently well ...
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10/15/2019
SafeCritic: Collision-Aware Trajectory Prediction
Navigating complex urban environments safely is a key to realize fully a...
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10/07/2019
Increasing Expressivity of a Hyperspherical VAE
Learning suitable latent representations for observed, high-dimensional ...
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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...
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08/07/2019
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation
Adversarial training has been recently employed for realizing structured...
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08/05/2019
Model Decay in Long-Term Tracking
Updating the tracker model with adverse bounding box predictions adds an...
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05/13/2019
VideoGraph: Recognizing Minutes-Long Human Activities in Videos
Many human activities take minutes to unfold. To represent them, related...
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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 ...
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02/01/2019
Combinatorial Bayesian Optimization using Graph Representations
This paper focuses on Bayesian Optimization - typically considered with ...
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12/04/2018
Timeception for Complex Action Recognition
This paper focuses on the temporal aspect for recognizing human activiti...
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10/03/2018
Relaxed Quantization for Discretized Neural Networks
Neural network quantization has become an important research area due to...
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08/02/2018
Dynamic Adaptation on Non-Stationary Visual Domains
Domain adaptation aims to learn models on a supervised source domain tha...
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07/18/2018
Video Time: Properties, Encoders and Evaluation
Time-aware encoding of frame sequences in a video is a fundamental probl...
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06/05/2018