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05/24/2023
Real time dense anomaly detection by learning on synthetic negative data
Most approaches to dense anomaly detection rely on generative modeling o...
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03/13/2023
Identifying Label Errors in Object Detection Datasets by Loss Inspection
Labeling datasets for supervised object detection is a dull and time-con...
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01/19/2023
Hybrid Open-set Segmentation with Synthetic Negative Data
Open-set segmentation is often conceived by complementing closed-set cla...
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01/09/2023
On advantages of Mask-level Recognition for Open-set Segmentation in the Wild
Most dense recognition methods bring a separate decision in each particu...
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12/20/2022
Weakly supervised training of universal visual concepts for multi-domain semantic segmentation
Deep supervised models have an unprecedented capacity to absorb large qu...
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11/08/2022
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification
Road-safety inspection is an indispensable instrument for reducing road-...
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07/18/2022
Automatic universal taxonomies for multi-domain semantic segmentation
Training semantic segmentation models on multiple datasets has sparked a...
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07/06/2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
Anomaly detection can be conceived either through generative modelling o...
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03/15/2022
Panoptic SwiftNet: Pyramidal Fusion for Real-time Panoptic Segmentation
Dense panoptic prediction is a key ingredient in many existing applicati...
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12/23/2021
Dense anomaly detection by robust learning on synthetic negative data
Standard machine learning is unable to accommodate inputs which do not b...
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08/25/2021
Multi-domain semantic segmentation with overlapping labels
Deep supervised models have an unprecedented capacity to absorb large qu...
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06/13/2021
A baseline for semi-supervised learning of efficient semantic segmentation models
Semi-supervised learning is especially interesting in the dense predicti...
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06/08/2021
Densely connected normalizing flows
Normalizing flows are bijective mappings between inputs and latent repre...
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01/26/2021
Joint Forecasting of Features and Feature Motion for Dense Semantic Future Prediction
We present a novel dense semantic forecasting approach which is applicab...
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01/22/2021
Dense outlier detection and open-set recognition based on training with noisy negative images
Deep convolutional models often produce inadequate predictions for input...
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11/22/2020
Dense open-set recognition with synthetic outliers generated by Real NVP
Today's deep models are often unable to detect inputs which do not belon...
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10/18/2020
Multimodal semantic forecasting based on conditional generation of future features
This paper considers semantic forecasting in road-driving scenes. Most e...
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09/02/2020
Multi-domain semantic segmentation with pyramidal fusion
We present our submission to the semantic segmentation contest of the Ro...
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08/03/2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
Recent success on realistic road driving datasets has increased interest...
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07/26/2019
Single Level Feature-to-Feature Forecasting with Deformable Convolutions
Future anticipation is of vital importance in autonomous driving and oth...
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07/16/2019
Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings
This paper studies the interplay between kinematics (position and veloci...
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05/14/2019
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images
Recent progress of deep image classification models has provided great p...
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03/20/2019
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
Recent success of semantic segmentation approaches on demanding road dri...
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08/23/2018
Discriminative out-of-distribution detection for semantic segmentation
This paper considers dense detection of out-of-distribution pixels. As a...
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06/09/2018
Robust Semantic Segmentation with Ladder-DenseNet Models
We present semantic segmentation experiments with a model capable to per...
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10/01/2013
Second Croatian Computer Vision Workshop (CCVW 2013)
Proceedings of the Second Croatian Computer Vision Workshop (CCVW 2013, ...
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10/01/2013
Classifying Traffic Scenes Using The GIST Image Descriptor
This paper investigates classification of traffic scenes in a very low b...
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10/01/2013
Multiclass Road Sign Detection using Multiplicative Kernel
We consider the problem of multiclass road sign detection using a classi...
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10/01/2013
A Novel Georeferenced Dataset for Stereo Visual Odometry
In this work, we present a novel dataset for assessing the accuracy of s...
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10/01/2013