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Kaiming He - FAIR

Facebook AI Research (FAIR), Menlo Park, CA. I joined the Facebook AI Research (FAIR) team in August 2016 as a Research Scientist. Formerly I was a Lead Researcher at Microsoft Research Asia (MSRA), which I joined in 2011 after receiving my PhD. Prior to that, I was an intern at MSRA since 2007 after receiving my B.S. My research interests are in computer vision and deep learning. I have received 2 CVPR Best Paper Awards. Internship Opening at FAIR. I served as an Area Chair for CVPR 2016. Liliang Zhang,...

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Kaiming He - FAIR | kaiminghe.com Reviews
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Facebook AI Research (FAIR), Menlo Park, CA. I joined the Facebook AI Research (FAIR) team in August 2016 as a Research Scientist. Formerly I was a Lead Researcher at Microsoft Research Asia (MSRA), which I joined in 2011 after receiving my PhD. Prior to that, I was an intern at MSRA since 2007 after receiving my B.S. My research interests are in computer vision and deep learning. I have received 2 CVPR Best Paper Awards. Internship Opening at FAIR. I served as an Area Chair for CVPR 2016. Liliang Zhang,...
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Kaiming He - FAIR | kaiminghe.com Reviews

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Facebook AI Research (FAIR), Menlo Park, CA. I joined the Facebook AI Research (FAIR) team in August 2016 as a Research Scientist. Formerly I was a Lead Researcher at Microsoft Research Asia (MSRA), which I joined in 2011 after receiving my PhD. Prior to that, I was an intern at MSRA since 2007 after receiving my B.S. My research interests are in computer vision and deep learning. I have received 2 CVPR Best Paper Awards. Internship Opening at FAIR. I served as an Area Chair for CVPR 2016. Liliang Zhang,...

INTERNAL PAGES

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1

Spatial Pyramid Pooling in Deep Convolutional Networks

http://www.kaiminghe.com/eccv14sppnet/index.html

Spatial Pyramid Pooling in Deep Convolutional Networks. University of Science and Technology of China. In detection and 3rd. In classification among 38 teams. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, in ECCV. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, in TPAMI. For ILSVRC 2014 talk. Fast object detection for VOC.

2

Results

http://www.kaiminghe.com/sig13/results.html

This page contains the original images shown in the paper. Click an image to download the full-resolution.

3

Rectangling Panoramic Images via Warping

http://www.kaiminghe.com/sig13/index.html

Rectangling Panoramic Images via Warping. This work was done when Huiwen was an intern in MSRA, as an undergraduate. Rectangling Panoramic Images via Warping. By Kaiming He, Huiwen Chang, and Jian Sun, in SIGGRAPH.

4

Optimized Product Quantization

http://www.kaiminghe.com/cvpr13/index.html

And Technology of China. We evaluate our optimized product quantizers in three applications: (i) compact encoding for exhaustive ranking , (ii) building inverted multi-indexing for non-exhaustive search, and (iii) compacting image representations for image retrieval. In all applications our optimized product quantizers outperform existing solutions. By Tiezheng Ge, Kaiming He, Qifa Ke, and Jian Sun, in TPAMI. Optimized Product Quantization for Approximate Nearest Neighbor Search. From an Oxford lab.

5

ICML 2016 Tutorial on Deep Residual Networks

http://www.kaiminghe.com/icml16tutorial/index.html

ICML 2016 Tutorial on Deep Residual Networks. 8:30-10:30am, June 19, 2016. @Marriott, New York City. Object detection in the wild by Faster R-CNN ResNet-101. Model pre-trained on ImageNet, fine-tuned on MS COCO that has 80 categories. Frame-by-frame detection, no temporal processing.). A] Deep Residual Learning for Image Recognition. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. CVPR 2016. B] Identity Mappings in Deep Residual Networks. For the talk at ICCV 2015 ImageNet and COCO joint workshop.

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Kaiming He - FAIR

Facebook AI Research (FAIR), Menlo Park, CA. I joined the Facebook AI Research (FAIR) team in August 2016 as a Research Scientist. Formerly I was a Lead Researcher at Microsoft Research Asia (MSRA), which I joined in 2011 after receiving my PhD. Prior to that, I was an intern at MSRA since 2007 after receiving my B.S. My research interests are in computer vision and deep learning. I have received 2 CVPR Best Paper Awards. Internship Opening at FAIR. I served as an Area Chair for CVPR 2016. Liliang Zhang,...

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