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08/14/2023
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization
Sparse neural networks are a key factor in developing resource-efficient...
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08/01/2023
Markerless human pose estimation for biomedical applications: a survey
Markerless Human Pose Estimation (HPE) proved its potential to support d...
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06/05/2023
Color-aware Deep Temporal Backdrop Duplex Matting System
Deep learning-based alpha matting showed tremendous improvements in rece...
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06/05/2023
Human Spine Motion Capture using Perforated Kinesiology Tape
In this work, we present a marker-based multi-view spine tracking method...
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04/26/2023
Compensation Learning in Semantic Segmentation
Label noise and ambiguities between similar classes are challenging prob...
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04/02/2023
Learning Similarity between Scene Graphs and Images with Transformers
Scene graph generation is conventionally evaluated by (mean) Recall@K, w...
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03/23/2023
Take 5: Interpretable Image Classification with a Handful of Features
Deep Neural Networks use thousands of mostly incomprehensible features t...
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01/04/2023
Attribute-Centric Compositional Text-to-Image Generation
Despite the recent impressive breakthroughs in text-to-image generation,...
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11/21/2022
Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure
Biofouling is a major challenge for sustainable shipping, filter membran...
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11/21/2022
Blind Knowledge Distillation for Robust Image Classification
Optimizing neural networks with noisy labels is a challenging task, espe...
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11/11/2022
SSGVS: Semantic Scene Graph-to-Video Synthesis
As a natural extension of the image synthesis task, video synthesis has ...
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10/14/2022
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
Industrial defect detection is commonly addressed with anomaly detection...
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09/17/2022
AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification
Class imbalance poses a major challenge for machine learning as most sup...
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05/23/2022
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning
The goal of Unsupervised Reinforcement Learning (URL) is to find a rewar...
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02/23/2022
Image Classification on Small Datasets via Masked Feature Mixing
Deep convolutional neural networks require large amounts of labeled data...
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02/09/2022
Contextualize Me – The Case for Context in Reinforcement Learning
While Reinforcement Learning (RL) has made great strides towards solving...
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01/27/2022
RelTR: Relation Transformer for Scene Graph Generation
Different objects in the same scene are more or less related to each oth...
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11/23/2021
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking
Multi-Camera Multi-Object Tracking is currently drawing attention in the...
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10/06/2021
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
In industrial manufacturing processes, errors frequently occur at unpred...
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10/05/2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
While Reinforcement Learning has made great strides towards solving ever...
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08/24/2021
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
We present an efficient approximate message passing solver for the lifte...
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08/05/2021
Disentangled Lifespan Face Synthesis
A lifespan face synthesis (LFS) model aims to generate a set of photo-re...
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07/29/2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
3D human pose estimation from monocular images is a highly ill-posed pro...
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07/26/2021
Spatial-Temporal Transformer for Dynamic Scene Graph Generation
Dynamic scene graph generation aims at generating a scene graph of the g...
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06/18/2021
World-GAN: a Generative Model for Minecraft Worlds
This work introduces World-GAN, the first method to perform data-driven ...
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06/11/2021
Automatic Risk Adaptation in Distributional Reinforcement Learning
The use of Reinforcement Learning (RL) agents in practical applications ...
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05/05/2021
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
Humans perceive and construct the surrounding world as an arrangement of...
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04/01/2021
Text to Image Generation with Semantic-Spatial Aware GAN
A text to image generation (T2I) model aims to generate photo-realistic ...
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03/22/2021
Context-Aware Layout to Image Generation with Enhanced Object Appearance
A layout to image (L2I) generation model aims to generate a complicated ...
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03/18/2021
Localization of Cochlear Implant Electrodes from Cone Beam Computed Tomography using Particle Belief Propagation
Cochlear implants (CIs) are implantable medical devices that can restore...
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11/30/2020
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
Human pose estimation from single images is a challenging problem in com...
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10/30/2020
Exploring Dynamic Context for Multi-path Trajectory Prediction
To accurately predict future positions of different agents in traffic sc...
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08/28/2020
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
The detection of manufacturing errors is crucial in fabrication processe...
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08/04/2020
TOAD-GAN: Coherent Style Level Generation from a Single Example
In this work, we present TOAD-GAN (Token-based One-shot Arbitrary Dimens...
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07/17/2020
Weakly-supervised Learning of Human Dynamics
This paper proposes a weakly-supervised learning framework for dynamics ...
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06/25/2020
Lifted Disjoint Paths with Application in Multiple Object Tracking
We present an extension to the disjoint paths problem in which additiona...
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06/15/2020
AMENet: Attentive Maps Encoder Network for Trajectory Prediction
Trajectory prediction is a crucial task in different communities, such a...
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05/28/2020
LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery
State-of-the-art object detection approaches such as Fast/Faster R-CNN, ...
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04/29/2020
Image Captioning through Image Transformer
Automatic captioning of images is a task that combines the challenges of...
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04/05/2020
FairNN- Conjoint Learning of Fair Representations for Fair Decisions
In this paper, we propose FairNN a neural network that performs joint fe...
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02/14/2020
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic
Trajectory prediction in urban mixed-traffic zones (a.k.a. shared spaces...
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02/14/2020
Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic
Trajectory prediction in urban mixed-traffic zones is critical for many ...
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01/14/2020
NODIS: Neural Ordinary Differential Scene Understanding
Semantic image understanding is a challenging topic in computer vision. ...
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01/08/2020
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
We present a robust estimator for fitting multiple parametric models of ...
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11/25/2019
Neural Random Forest Imitation
We present Neural Random Forest Imitation - a novel approach for transfo...
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08/26/2019
Learning Disentangled Representations via Independent Subspaces
Image generating neural networks are mostly viewed as black boxes, where...
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08/07/2019
Structuring Autoencoders
In this paper we propose Structuring AutoEncoders (SAE). SAEs are neural...
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07/23/2019
Temporally Consistent Horizon Lines
The horizon line is an important geometric feature for many image proces...
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04/03/2019
Exploring the Semantics for Visual Relationship Detection
Scene graph construction / visual relationship detection from an image a...
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02/26/2019