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Exploring Simple Siamese Representation Learning

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.15745-15753

2021

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Mask R-CNN

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.2980-2988

2017

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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

IEEE transactions on pattern analysis and machine intelligence, 2017-06, Vol.39 (6), p.1137-1149

2017

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Image Super-Resolution Using Deep Convolutional Networks

IEEE transactions on pattern analysis and machine intelligence, 2016-02, Vol.38 (2), p.295-307

2016

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Accelerating Very Deep Convolutional Networks for Classification and Detection

IEEE transactions on pattern analysis and machine intelligence, 2016-10, Vol.38 (10), p.1943-1955

2016

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Convolutional neural networks at constrained time cost

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.5353-5360

2015

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Guided Image Filtering

IEEE transactions on pattern analysis and machine intelligence, 2013-06, Vol.35 (6), p.1397-1409

2013

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Single Image Haze Removal Using Dark Channel Prior

IEEE transactions on pattern analysis and machine intelligence, 2011-12, Vol.33 (12), p.2341-2353

2011

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Deep Residual Learning for Image Recognition

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.770-778

2016

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Image Completion Approaches Using the Statistics of Similar Patches

IEEE transactions on pattern analysis and machine intelligence, 2014-12, Vol.36 (12), p.2423-2435

2014

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Object Detection Networks on Convolutional Feature Maps

IEEE transactions on pattern analysis and machine intelligence, 2017-07, Vol.39 (7), p.1476-1481

2017

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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.1026-1034

2015

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Optimized Product Quantization

IEEE transactions on pattern analysis and machine intelligence, 2014-04, Vol.36 (4), p.744-755

2014

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Is Faster R-CNN Doing Well for Pedestrian Detection?

Computer Vision – ECCV 2016, p.443-457

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Focal Loss for Dense Object Detection

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.2999-3007

2017

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Transitive Invariance for Self-Supervised Visual Representation Learning

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.1338-1347

2017

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Instance-Aware Semantic Segmentation via Multi-task Network Cascades

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.3150-3158

2016

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A geodesic-preserving method for image warping

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.213-221

2015

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BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.1635-1643

2015

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Exploring Randomly Wired Neural Networks for Image Recognition

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.1284-1293

2019

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Deep Hough Voting for 3D Object Detection in Point Clouds

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.9276-9285

2019

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Learning a Deep Convolutional Network for Image Super-Resolution

Computer Vision – ECCV 2014, p.184-199

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Exploring the Limits of Weakly Supervised Pretraining

Computer Vision – ECCV 2018, p.185-201

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Feature Pyramid Networks for Object Detection

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.936-944

2017

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ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.3159-3167

2016

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Exploring Simple Siamese Representation Learning

Mask R-CNN

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Image Super-Resolution Using Deep Convolutional Networks

Accelerating Very Deep Convolutional Networks for Classification and Detection

Convolutional neural networks at constrained time cost

Guided Image Filtering

Single Image Haze Removal Using Dark Channel Prior

Deep Residual Learning for Image Recognition

Image Completion Approaches Using the Statistics of Similar Patches

Object Detection Networks on Convolutional Feature Maps

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Optimized Product Quantization

Is Faster R-CNN Doing Well for Pedestrian Detection?

Focal Loss for Dense Object Detection

Transitive Invariance for Self-Supervised Visual Representation Learning

Instance-Aware Semantic Segmentation via Multi-task Network Cascades

A geodesic-preserving method for image warping

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

Exploring Randomly Wired Neural Networks for Image Recognition

Deep Hough Voting for 3D Object Detection in Point Clouds

Learning a Deep Convolutional Network for Image Super-Resolution

Exploring the Limits of Weakly Supervised Pretraining

Feature Pyramid Networks for Object Detection

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation

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