Sales contract cover letter, custom dissertation methodology ghostwriting for hire online, r salakhutdinov phd thesis. Pay to write academic essay on presidential elections. Rudy essay paper. Pay to write popular school essay on founding fathers english essay my childhood wishes help me write top expository essay. Australian professional resume Cs50 solutions github. The lecture videos are available here. Community Midterm (15%) Status embed installed correctly. Homework Welcome to the Array of Things, an intelligent urban measurement project that’s changing our understanding of cities and urban life Awards and Honors. PAMI Everingham Prize, CVPR Best Paper Honorable Mention, ECCV Best Paper Honorable Mention, PAMI Young Researcher Award, ICCV Best Paper Award (Marr Prize), ICCV Best Student Paper Award, CVPR Best Paper Award, CVPR Best Paper Award, Outstanding Reviewer: CVPR , ICCV , CVPR
Case study library
Facebook AI Research FAIRMenlo Park, CA. I am a Research Scientist at Facebook AI Research FAIR as of Before that I was with Microsoft Research Asia MSRAwhich I joined in after receiving my PhD. My research interests are in computer vision and deep learning. I am a recipient of the PAMI Young Researcher Award inthe Best Paper Award in CVPRCVPRICCVthe Best Student Paper Award in ICCVthe Best Paper Honorable Mention in ECCVCVPRand the Everingham Prize in ICCV My paper on Deep Residual Networks ResNets is the most cited paper in all areas in Google Scholar Metrics Applications of ResNets also include languagespeechand AlphaGo.
Area Chair: CVPRICCVCVPRECCVCVPRCVPR Co-organize r salakhutdinov phd thesis tutorial on Visual Recognition at ECCV Co-organize a tutorial on Visual Recognition at CVPR Co-organize a tutorial on Instance-level Recognition at ICCV Co-organize a tutorial on Deep Learning for Objects and Scenes at CVPR Invited to give a tutorial on Deep Residual Networks at ICML Co-organize a tutorial on Object Detection at ICCV Google Scholar Profile. Masked Autoencoders Are Scalable Vision Learners Kaiming HeXinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick Tech report, Nov.
Chenxi Liu, Piotr Dollár, Kaiming HeRoss Girshick, Alan Yuille, and Saining Xie European Conference on Computer Vision ECCVSpotlight arXiv. Improved Baselines with Momentum Contrastive Learning Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He Tech report, Mar. Exploring Randomly Wired R salakhutdinov phd thesis Networks for Image Recognition Saining Xie, Alexander Kirillov, Ross Girshick, r salakhutdinov phd thesis, and Kaiming He International Conference on Computer Vision ICCVOral arXiv.
Deep Hough Voting for 3D Object Detection in Point Clouds Charles R. Qi, Or Litany, Kaiming Heand Leonidas J. Guibas International Conference on Computer Vision ICCVOral. Rethinking ImageNet Pre-training Kaiming HeRoss Girshick, and Piotr Dollár International Conference on Computer Vision ICCVarXiv. Panoptic Segmentation Alexander Kirillov, Kaiming HeRoss Girshick, Carsten Rother, and Piotr Dollár Computer Vision and Pattern Recognition CVPRarXiv.
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations Zhilin Yang, Jake Zhao, Bhuwan Dhingra, Kaiming HeWilliam W.
Cohen, Ruslan Salakhutdinov, and Yann LeCun Conference on Neural Information Processing Systems NIPSarXiv. Group Normalization Yuxin Wu and Kaiming He European Conference on Computer Vision ECCVOral. Exploring the Limits of Weakly Supervised Pretraining Dhruv Mahajan, r salakhutdinov phd thesis, Ross Girshick, Vignesh Ramanathan, Kaiming HeManohar Paluri, r salakhutdinov phd thesis, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten European Conference on Computer Vision ECCVarXiv models.
Data Distillation: Towards Omni-Supervised Learning Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, and Kaiming He Computer Vision and Pattern Recognition CVPRarXiv. Detecting and Recognizing Human-Object Interactions Georgia Gkioxari, Ross Girshick, Piotr Dollárand Kaiming He Computer Vision and Pattern Recognition CVPR r salakhutdinov phd thesis, Spotlight arXiv.
Learning to Segment Every Thing Ronghang HuPiotr DollárKaiming HeTrevor Darrell, and Ross Girshick Computer Vision and Pattern Recognition CVPR r salakhutdinov phd thesis, arXiv. Mask R-CNN Kaiming HeGeorgia Gkioxari, Piotr Dollár, and Ross Girshick International Conference on Computer Vision ICCV7 Oral, r salakhutdinov phd thesis.
Focal Loss for Dense Object Detection Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming Heand Piotr Dollár International Conference on Computer Vision ICCV7 Oral. Transitive Invariance for Self-supervised Visual Representation Learning Xiaolong Wang, Kaiming Heand Abhinav Gupta International Conference on Computer Vision ICCV7 arXiv. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal, Piotr DollárRoss Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jiaand Kaiming He Tech report, June arXiv.
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai, Yi Li, R salakhutdinov phd thesis Heand Jian Sun Conference on Neural Information Processing Systems NIPSarXiv code. Is Faster R-CNN Doing Well for Pedestrian Detection? Liliang Zhang, Liang Lin, Xiaodan Liang, and Kaiming He European Conference on Computer Vision ECCVarXiv code, r salakhutdinov phd thesis.
Instance-sensitive Fully Convolutional Networks Jifeng Dai, Kaiming HeYi Li, Shaoqing Ren, and Jian Sun European Conference on Computer Vision ECCVarXiv. Identity Mappings in Deep Residual Networks Kaiming Her salakhutdinov phd thesis, Xiangyu Zhang, Shaoqing Ren, and Jian Sun European Conference on Computer Vision ECCVSpotlight arXiv code. Deep Residual Learning for Image Recognition Kaiming HeXiangyu Zhang, Shaoqing Ren, and Jian Sun Computer Vision and Pattern Recognition CVPROral.
Instance-aware Semantic Segmentation via Multi-task Network Cascades Jifeng Dai, Kaiming Heand Jian Sun Computer Vision and Pattern Recognition CVPROral arXiv code 1st place of COCO segmentation competition. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic R salakhutdinov phd thesis Di Lin, Jifeng Dai, r salakhutdinov phd thesis, Jiaya Jia, Kaiming R salakhutdinov phd thesisand R salakhutdinov phd thesis Sun Computer Vision and Pattern Recognition CVPROral arXiv project.
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming HeRoss Girshick, and Jian Sun Conference on Neural Information Processing Systems NIPSIEEE Transactions on Pattern Analysis and Machine Intelligence TPAMIaccepted in arXiv NIPS version code-matlab code-p ython. Object Detection Networks on Convolutional Feature Maps Shaoqing Ren, Kaiming HeRoss Girshick, Xiangyu Zhang, and Jian Sun IEEE Transactions on Pattern Analysis and Machine Intelligence TPAMIaccepted in arXiv.
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation Jifeng Dai, Kaiming Heand Jian Sun International Conference on Computer Vision ICCVarXiv. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming HeXiangyu Zhang, Shaoqing Ren, r salakhutdinov phd thesis, and Jian Sun International Conference on Computer Vision ICCVarXiv ICCV version The first to surpass human-level performance.
Convolutional Neural Networks at Constrained Time Cost Kaiming He and Jian Sun Computer Vision and Pattern Recognition CVPRarXiv.
Convolutional Feature Masking for Joint Object and Stuff Segmentation Jifeng Dai, Kaiming Heand Jian Sun Computer Vision and Pattern Recognition CVPRarXiv code. Efficient and Accurate Approximations of Nonlinear Convolutional Networks Xiangyu Zhang, Jianhua Zou, Xiang Ming, Kaiming Heand Jian Sun Computer Vision and Pattern Recognition CVPRIEEE Transactions on Pattern Analysis and Machine Intelligence TPAMIaccepted in PAMI version CVPR version.
Sparse Projections for High-Dimensional Binary Codes Yan Xia, Kaiming HePushmeet Kohli, and Jian Sun Computer Vision and Pattern Recognition CVPRpaper code.
A Geodesic-Preserving Method for Image Warping Dongping Li, Kaiming HeJian Sun, r salakhutdinov phd thesis, and Kun Zhou Computer Vision and Pattern Recognition CVPRpaper. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming HeXiangyu Zhang, Shaoqing Ren, and Jian Sun European Conference on Computer Vision ECCVIEEE Transactions on Pattern Analysis and Machine Intelligence TPAMIaccepted in arXiv project slides poster code ILSVRC - We ranked 2nd in detection and 3rd in classification.
Learning a Deep Convolutional Network for Image Super-Resolution Chao Dong, Chen Change Loy, Kaiming Heand Xiaoou Tang European Conference on Computer Vision ECCVIEEE Transactions on Pattern Analysis and Machine Intelligence TPAMIaccepted in arXiv ECCV version code waifu2x. Graph Cuts for Supervised Binary Coding Tiezheng Ge, Kaiming Heand Jian Sun European Conference on Computer Vision ECCVpaper. Product Sparse Coding Tiezheng Ge, Kaiming Heand Jian Sun Computer Vision and Pattern Recognition CVPRpaper.
Content-Aware Rotation Kaiming HeHuiwen Chang, and Jian Sun International Conference on Computer Vision ICCVpaper image project. Joint Inverted Indexing Yan XiaKaiming HeFang Wen, and Jian Sun International Conference on Computer Vision ICCVpaper project. Constant Time Weighted Median Filtering for Stereo Matching and Beyond Ziyang MaKaiming HeYichen Wei, Jian Sun, and Enhua Wu International Conference on Computer Vision ICCVpaper supp code. Rectangling Panoramic Images via Warping Kaiming HeHuiwen Chang, and Jian Sun ACM Transactions on Graphics, Proceedings of ACM SIGGRAPHpaper image slides project.
Optimized Product Quantization for Approximate Nearest Neighbor Search Tiezheng Ge, Kaiming HeQifa Ke, r salakhutdinov phd thesis, and Jian Sun Computer Vision and Pattern Recognition CVPRIEEE Transactions on Pattern Analysis and Machine Intelligence TPAMIaccepted in paper PAMI version supp code project.
K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes Kaiming HeFang Wen, and Jian Sun Computer Vision and Pattern Recognition CVPRpaper. Statistics of Patch Offsets for Image Completion Kaiming He and Jian Sun European Conference on Computer Vision ECCVIEEE Transactions on Pattern Analysis and Machine Intelligence TPAMIaccepted in paper PAMI version supp project.
Computing R salakhutdinov phd thesis Fields via Propagation-Assisted KD-Trees Kaiming He and Jian Sun Computer Vision and Pattern Recognition CVPRpaper poster. A Global Sampling Method for Alpha Matting Kaiming HeChristoph Rhemann, Carsten Rother, Xiaoou Tang, and Jian Sun Computer Vision and Pattern Recognition CVPRpaper.
Guided Image Filtering Kaiming HeJian Sun, and Xiaoou Tang European Conference on Computer Vision ECCVOral IEEE Transactions on Pattern Analysis and Machine Intelligence TPAMIaccepted in paper PAMI version supp code slides project.
Fast Matting using Large Kernel Matting Laplacian Matrices Kaiming HeJian Sun, and Xiaoou Tang Computer Vision and Pattern Recognition CVPRpaper supp.
Single Image Haze Removal using Dark Channel Prior Kaiming HeJian Sun, and Xiaoou Tang Computer Vision and Pattern Recognition CVPROral. CVPR Best Paper Award IEEE Transactions on Pattern Analysis and Machine Intelligence TPAMIaccepted in paper PAMI version images slides videos project thesis.
PAMI Everingham Prize CVPR Best Paper Honorable Mention ECCV Best Paper Honorable Mention PAMI Young Researcher Award ICCV Best Paper Award Marr Prize ICCV Best Student Paper Award CVPR Best R salakhutdinov phd thesis Award Outstanding Reviewer: CVPRICCVCVPR Microsoft Research Asia Fellowship, Microsoft Research Asia Young Fellowship, unique visitors since May Kaiming He 何恺明 Research Scientist Facebook AI Research FAIRMenlo Park, CA.
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning Christoph Feichtenhofer, Haoqi Fan, r salakhutdinov phd thesis, Bo Xiong, Ross Girshick, and Kaiming He Computer Vision and Pattern Recognition CVPRarXiv.
Exploring Simple Siamese Representation Learning Xinlei Chen and Kaiming He Computer Vision and Pattern Recognition CVPROral. Graph Structure of Neural Networks Jiaxuan You, Jure Leskovec, Kaiming Heand Saining Xie International Conference on Machine Learning ICMLarXiv. Are Labels Necessary for Neural Architecture Search? Momentum Contrast for Unsupervised Visual Representation Learning Kaiming HeHaoqi Fan, Yuxin Wu, Saining Xie, r salakhutdinov phd thesis, and Ross Girshick Computer Vision and Pattern Recognition CVPROral.
Write a Thesis From Home with Less Pain (Literally)
, time: 10:06The sun also rises critical essays
Awards and Honors. PAMI Everingham Prize, CVPR Best Paper Honorable Mention, ECCV Best Paper Honorable Mention, PAMI Young Researcher Award, ICCV Best Paper Award (Marr Prize), ICCV Best Student Paper Award, CVPR Best Paper Award, CVPR Best Paper Award, Outstanding Reviewer: CVPR , ICCV , CVPR Cs50 solutions github. The lecture videos are available here. Community Midterm (15%) Status embed installed correctly. Homework Welcome to the Array of Things, an intelligent urban measurement project that’s changing our understanding of cities and urban life May 28, · LSTM networks or r elated forms of gated uni ts are also currently used for the encoder and decoder networks tha t perform so well at machine translation 17,72,76
No comments:
Post a Comment