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Non-Rigid Point Set Registration by Preserving Global and Local Structures

IEEE transactions on image processing, 2016-01, Vol.25 (1), p.53-64

2016

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Deep Nets: What have They Ever Done for Vision?

International journal of computer vision, 2021-03, Vol.129 (3), p.781-802

2021

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Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples

IEEE transactions on image processing, 2017-05, Vol.26 (5), p.2545-2560

2017

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Robust Point Matching via Vector Field Consensus

IEEE transactions on image processing, 2014-04, Vol.23 (4), p.1706-1721

2014

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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

IEEE transactions on pattern analysis and machine intelligence, 2018-04, Vol.40 (4), p.834-848

2018

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Grouped Spatial-Temporal Aggregation for Efficient Action Recognition

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.5511-5520

2019

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Deep Co-Training for Semi-Supervised Image Recognition

Computer Vision – ECCV 2018, p.142-159

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Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.82-92

2019

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Improving Transferability of Adversarial Examples With Input Diversity

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.2725-2734

2019

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Feature Denoising for Improving Adversarial Robustness

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.501-509

2019

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Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Medical image analysis, 2019-07, Vol.55, p.88-102

2019

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Few-Shot Image Recognition by Predicting Parameters from Activations

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.7229-7238

2018

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Vision as Bayesian inference: analysis by synthesis?

Trends in cognitive sciences, 2006-07, Vol.10 (7), p.301-308

2006

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CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.10852-10861

2021

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Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.1742-1750

2015

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Learning From Synthetic Animals

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.12383-12392

2020

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Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.10671-10680

2019

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Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation

Computer Vision - ECCV 2020, 2020, Vol.12349, p.108-126

2020

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Single Image Super-resolution Using Deformable Patches

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014-06, Vol.2014, p.2917-2924

2014

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Generation and Comprehension of Unambiguous Object Descriptions

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.11-20

2016

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Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

IEEE transactions on medical imaging, 2020-02, Vol.39 (2), p.514-525

2020

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Universal Physical Camouflage Attacks on Object Detectors

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.717-726

2020

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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Medical image analysis, 2020-10, Vol.65, p.101766-101766, Article 101766

2020

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Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.8937-8946

2020

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CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.4180-4189

2019

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Non-Rigid Point Set Registration by Preserving Global and Local Structures

Deep Nets: What have They Ever Done for Vision?

Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples

Robust Point Matching via Vector Field Consensus

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Grouped Spatial-Temporal Aggregation for Efficient Action Recognition

Deep Co-Training for Semi-Supervised Image Recognition

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

Improving Transferability of Adversarial Examples With Input Diversity

Feature Denoising for Improving Adversarial Robustness

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Few-Shot Image Recognition by Predicting Parameters from Activations

Vision as Bayesian inference: analysis by synthesis?

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation

Learning From Synthetic Animals

Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation

Single Image Super-resolution Using Deformable Patches

Generation and Comprehension of Unambiguous Object Descriptions

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

Universal Physical Camouflage Attacks on Object Detectors

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion

CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions

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