Kaiming He

CoRR, 2024

Deconstructing Denoising Diffusion Models for Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Self-conditioned Image Generation via Generating Representations.

[BibT_eX]

[DOI]

Tianhong Li

Dina Katabi

CoRR, 2023

Scaling Language-Image Pre-Training via Masking.

[BibT_eX]

[DOI]

Yanghao Li

Haoqi Fan

Ronghang Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

POI recommendation based on a multiple bipartite graph network model.

[BibT_eX]

[DOI]

J. Supercomput., 2022

Masked Autoencoders As Spatiotemporal Learners.

[BibT_eX]

[DOI]

Haoqi Fan

Yanghao Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploring Plain Vision Transformer Backbones for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Masked Autoencoders Are Scalable Vision Learners.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Benchmarking Detection Transfer Learning with Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

An Empirical Study of Training Self-Supervised Vision Transformers.

[BibT_eX]

[DOI]

Xinlei Chen

Saining Xie

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exploring Simple Siamese Representation Learning.

[BibT_eX]

[DOI]

Xinlei Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Focal Loss for Dense Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Mask R-CNN.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Group Normalization.

[BibT_eX]

[DOI]

Yuxin Wu

Int. J. Comput. Vis., 2020

Improved Baselines with Momentum Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Structure of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Are Labels Necessary for Neural Architecture Search?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

A Multigrid Method for Efficiently Training Video Models.

[BibT_eX]

[DOI]

Chao-Yuan Wu

Ross B. Girshick

Philipp Krähenbühl

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Designing Network Design Spaces.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PointRend: Image Segmentation As Rendering.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Momentum Contrast for Unsupervised Visual Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Exploring Randomly Wired Neural Networks for Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Hough Voting for 3D Object Detection in Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Rethinking ImageNet Pre-Training.

[BibT_eX]

[DOI]

Ross B. Girshick

Piotr Dollár

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SlowFast Networks for Video Recognition.

[BibT_eX]

[DOI]

Haoqi Fan

Jitendra Malik

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

TensorMask: A Foundation for Dense Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Feature Denoising for Improving Adversarial Robustness.

[BibT_eX]

[DOI]

Cihang Xie

Yuxin Wu

Laurens van der Maaten

Alan L. Yuille

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Long-Term Feature Banks for Detailed Video Understanding.

[BibT_eX]

[DOI]

Chao-Yuan Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Panoptic Feature Pyramid Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.

[BibT_eX]

[DOI]

CoRR, 2018

GLoMo: Unsupervised Learning of Transferable Relational Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Exploring the Limits of Weakly Supervised Pretraining.

[BibT_eX]

[DOI]

Laurens van der Maaten

Proceedings of the Computer Vision - ECCV 2018, 2018

Data Distillation: Towards Omni-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Segment Every Thing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Detecting and Recognizing Human-Object Interactions.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Non-Local Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Object Detection Networks on Convolutional Feature Maps.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

[BibT_eX]

[DOI]

CoRR, 2017

Transitive Invariance for Self-Supervised Visual Representation Learning.

[BibT_eX]

[DOI]

Xiaolong Wang

Abhinav Gupta

Proceedings of the IEEE International Conference on Computer Vision, 2017

Aggregated Residual Transformations for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Feature Pyramid Networks for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Accelerating Very Deep Convolutional Networks for Classification and Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Image Super-Resolution Using Deep Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

R-FCN: Object Detection via Region-based Fully Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Is Faster R-CNN Doing Well for Pedestrian Detection?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Identity Mappings in Deep Residual Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Instance-Sensitive Fully Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Residual Learning for Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Instance-Aware Semantic Segmentation via Multi-task Network Cascades.

[BibT_eX]

[DOI]

Jifeng Dai

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Fast Guided Filter.

[BibT_eX]

[DOI]

CoRR, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

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

[BibT_eX]

[DOI]

Jifeng Dai

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Efficient and accurate approximations of nonlinear convolutional networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Sparse projections for high-dimensional binary codes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A geodesic-preserving method for image warping.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Convolutional neural networks at constrained time cost.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Convolutional feature masking for joint object and stuff segmentation.

[BibT_eX]

[DOI]

Jifeng Dai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Image Completion Approaches Using the Statistics of Similar Patches.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Optimized Product Quantization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Graph Cuts for Supervised Binary Coding.

[BibT_eX]

[DOI]

Tiezheng Ge

Proceedings of the Computer Vision - ECCV 2014, 2014

Learning a Deep Convolutional Network for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Product Sparse Coding.

[BibT_eX]

[DOI]

Tiezheng Ge

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Rectangling panoramic images via warping.

[BibT_eX]

[DOI]

Huiwen Chang

ACM Trans. Graph., 2013

Guided Image Filtering.

[BibT_eX]

[DOI]

Xiaoou Tang

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Joint Inverted Indexing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Constant Time Weighted Median Filtering for Stereo Matching and Beyond.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Content-Aware Rotation.

[BibT_eX]

[DOI]

Huiwen Chang

Proceedings of the IEEE International Conference on Computer Vision, 2013

K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes.

[BibT_eX]

[DOI]

Fang Wen

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Optimized Product Quantization for Approximate Nearest Neighbor Search.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Statistics of Patch Offsets for Image Completion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

Computing nearest-neighbor fields via Propagation-Assisted KD-Trees.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Single Image Haze Removal Using Dark Channel Prior.

[BibT_eX]

[DOI]

Xiaoou Tang

IEEE Trans. Pattern Anal. Mach. Intell., 2011

A global sampling method for alpha matting.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Fast matting using large kernel matting Laplacian matrices.

[BibT_eX]

[DOI]