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Fine-Grained Multi-Class Object Counting

2021 IEEE International Conference on Image Processing (ICIP), 2021, p.509-513

2021

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iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning

IEEE transactions on information forensics and security, 2017-05, Vol.12 (5), p.1005-1016

2017

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Do Semantic Parts Emerge in Convolutional Neural Networks?

International journal of computer vision, 2018-05, Vol.126 (5), p.476-494

2018

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Multi-class object detection using faster R-CNN and estimation of shaking locations for automated shake-and-catch apple harvesting

Computers and electronics in agriculture, 2020-06, Vol.173, p.105384, Article 105384

2020

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Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks

Information Processing in Medical Imaging, p.437-448

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DOPNet: Dense Object Prediction Network for Multi-Class Object Counting and Localization in Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2024-01, p.1-1

2024

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PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations

Computer Vision - ECCV 2020, 2020, Vol.12361, p.293-309

2020

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Divide and Count: Generic Object Counting by Image Divisions

IEEE transactions on image processing, 2019-02, Vol.28 (2), p.1035-1044

2019

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SCU-Counting: A large-scale benchmark dataset for multi-class object counting

Transportation research. Part C, Emerging technologies, 2024-06, Vol.163, p.104608, Article 104608

2024

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Generative data augmentation by conditional inpainting for multi-class object detection in infrared images

Pattern recognition, 2024-09, Vol.153, p.110501, Article 110501

2024

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A benchmark for multi-class object counting and size estimation using deep convolutional neural networks

Engineering applications of artificial intelligence, 2022-11, Vol.116, p.105449, Article 105449

2022

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Dilated-Scale-Aware Category-Attention ConvNet for Multi-Class Object Counting

IEEE signal processing letters, 2021, Vol.28, p.1570-1574

2021

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Multimodal object tracking by exploiting appearance and class information

Journal of visual communication and image representation, 2022-11, Vol.89, p.103669, Article 103669

2022

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Object class detection: A survey

ACM computing surveys, 2013-10, Vol.46 (1), p.1-53

2013

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Formes préfixées du verbe polonais "pić" et leurs équivalents français. Analyse contrastive pour les besoins de la traduction automatique

Linguistica Silesiana, 2023-09

2023

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Toward Always-On Mobile Object Detection: Energy Versus Performance Tradeoffs for Embedded HOG Feature Extraction

IEEE transactions on circuits and systems for video technology, 2018-05, Vol.28 (5), p.1102-1115

2018

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Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks

KI 2014: Advances in Artificial Intelligence, p.80-85

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An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds

Automation in construction, 2022-05, Vol.137, p.104187, Article 104187

2022

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Einsatz von Methoden des maschinellen Lernens in der CT-Messtechnik

Technisches Messen, 2019-11, Vol.86 (11), p.699-705

2019

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Techniques for Still Image Scene Classification and Object Detection

Artificial Neural Networks – ICANN 2006, 2006, p.35-44

2006

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A Study of Parts-Based Object Class Detection Using Complete Graphs

International journal of computer vision, 2010-03, Vol.87 (1-2), p.93-117

2010

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Bottom-Up Segmentation for Top-Down Detection

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013, p.3294-3301

2013

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Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields

International journal of computer vision, 2008-10, Vol.80 (1), p.45-57

2008

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Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering

IEEE transactions on image processing, 2017-07, Vol.26 (7), p.3196-3209

2017

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Training Object Class Detectors from Eye Tracking Data

Computer Vision – ECCV 2014, p.361-376

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Fine-Grained Multi-Class Object Counting

iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning

Do Semantic Parts Emerge in Convolutional Neural Networks?

Multi-class object detection using faster R-CNN and estimation of shaking locations for automated shake-and-catch apple harvesting

Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks

DOPNet: Dense Object Prediction Network for Multi-Class Object Counting and Localization in Remote Sensing Images

PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations

Divide and Count: Generic Object Counting by Image Divisions

SCU-Counting: A large-scale benchmark dataset for multi-class object counting

Generative data augmentation by conditional inpainting for multi-class object detection in infrared images

A benchmark for multi-class object counting and size estimation using deep convolutional neural networks

Dilated-Scale-Aware Category-Attention ConvNet for Multi-Class Object Counting

Multimodal object tracking by exploiting appearance and class information

Object class detection: A survey

Formes préfixées du verbe polonais "pić" et leurs équivalents français. Analyse contrastive pour les besoins de la traduction automatique

Toward Always-On Mobile Object Detection: Energy Versus Performance Tradeoffs for Embedded HOG Feature Extraction

Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks

An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds

Einsatz von Methoden des maschinellen Lernens in der CT-Messtechnik

Techniques for Still Image Scene Classification and Object Detection

A Study of Parts-Based Object Class Detection Using Complete Graphs

Bottom-Up Segmentation for Top-Down Detection

Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields

Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering

Training Object Class Detectors from Eye Tracking Data

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