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Unsupervised Visual Domain Adaptation Using Subspace Alignment

2013 IEEE International Conference on Computer Vision, 2013, p.2960-2967

2013

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A Continual Learning Survey: Defying Forgetting in Classification Tasks

IEEE transactions on pattern analysis and machine intelligence, 2022-07, Vol.44 (7), p.3366-3385

2022

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Discriminatively Trained Templates for 3D Object Detection: A Real Time Scalable Approach

2013 IEEE International Conference on Computer Vision, 2013, p.2048-2055

2013

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Three types of incremental learning

Nature machine intelligence, 2022, Vol.4 (12), p.1185-1197

2022

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Sketch classification and classification-driven analysis using Fisher vectors

ACM transactions on graphics, 2014-11, Vol.33 (6), p.1-9

2014

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Joint cross-domain classification and subspace learning for unsupervised adaptation

Pattern recognition letters, 2015-11, Vol.65, p.60-66

2015

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Local Invariant Feature Detectors: A Survey

Foundations and trends in computer graphics and vision, 2008, Vol.3 (3), p.177-280

2008

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Matching Widely Separated Views Based on Affine Invariant Regions

International journal of computer vision, 2004-08, Vol.59 (1), p.61-85

2004

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Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning

IEEE transactions on pattern analysis and machine intelligence, 2018-08, Vol.40 (8), p.1932-1947

2018

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Omnidirectional Vision Based Topological Navigation

International journal of computer vision, 2007-09, Vol.74 (3), p.219-236

2007

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DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.2578-2586

2015

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Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views

International journal of computer vision, 2006-04, Vol.67 (2), p.159-188

2006

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Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.2317-2326

2020

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Local Alignments for Fine-Grained Categorization

International journal of computer vision, 2015-01, Vol.111 (2), p.191-212

2015

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Computer Vision and Human Behaviour, Emotion and Cognition Detection: A Use Case on Student Engagement

Mathematics (Basel), 2021-02, Vol.9 (3), p.287

2021

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Residual Tuning: Toward Novel Category Discovery Without Labels

IEEE transaction on neural networks and learning systems, 2023-10, Vol.34 (10), p.7271-7285

2023

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Efficient multi-camera vehicle detection, tracking, and identification in a tunnel surveillance application

Computer vision and image understanding, 2012-06, Vol.116 (6), p.742-753

2012

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SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation

IEEE transactions on pattern analysis and machine intelligence, 2023-02, Vol.45 (2), p.2400-2411

2023

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A Deep Multi-Modal Explanation Model for Zero-Shot Learning

IEEE transactions on image processing, 2020-01, Vol.29, p.4788-4803

2020

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Expert Gate: Lifelong Learning with a Network of Experts

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.7120-7129

2017

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On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples

IEEE MICRO, 2023-11, Vol.43 (6), p.50-57

2023

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Moment invariants for recognition under changing viewpoint and illumination

Computer vision and image understanding, 2004-04, Vol.94 (1), p.3-27

2004

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Mixture Dense Regression for Object Detection and Human Pose Estimation

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.13083-13092

2020

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Simultaneous Object Recognition and Segmentation by Image Exploration

Computer Vision - ECCV 2004, p.40-54

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Task-Free Continual Learning

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.11246-11255

2019

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Unsupervised Visual Domain Adaptation Using Subspace Alignment

A Continual Learning Survey: Defying Forgetting in Classification Tasks

Discriminatively Trained Templates for 3D Object Detection: A Real Time Scalable Approach

Three types of incremental learning

Sketch classification and classification-driven analysis using Fisher vectors

Joint cross-domain classification and subspace learning for unsupervised adaptation

Local Invariant Feature Detectors: A Survey

Matching Widely Separated Views Based on Affine Invariant Regions

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning

Omnidirectional Vision Based Topological Navigation

DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers

Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views

Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference

Local Alignments for Fine-Grained Categorization

Computer Vision and Human Behaviour, Emotion and Cognition Detection: A Use Case on Student Engagement

Residual Tuning: Toward Novel Category Discovery Without Labels

Efficient multi-camera vehicle detection, tracking, and identification in a tunnel surveillance application

SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation

A Deep Multi-Modal Explanation Model for Zero-Shot Learning

Expert Gate: Lifelong Learning with a Network of Experts

On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples

Moment invariants for recognition under changing viewpoint and illumination

Mixture Dense Regression for Object Detection and Human Pose Estimation

Simultaneous Object Recognition and Segmentation by Image Exploration

Task-Free Continual Learning

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