USA-uc,berkeley

下面是USA-uc, berkeley的视觉人物信息

Ross Girshick Ross Girshick
http://www.rossgirshick.info/
http://www.cs.berkeley.edu/~rbg/
【Bio】Researcher at Facebook, PhD from Chicago, Postdoc from UC Berkeley
【Focus on】deep learning, object detection, scene parsing
【Code】

  • 2017 CVPR Aggregated Residual Transformations for Deep Neural Networks
  • 2015 NIPS Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  • 2015 ICCV Fast R-CNN
  • 2015 ICCV Contextual Action Recognition with R*CNN
  • 2014 PAMI Region-based Convolution Networks for Accurate Object Detection and Semantic Segmentation
  • 2014 IJCV Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation
  • 2014 NIPS LSDA: Large Scale Detection through Adaptation
  • 2014 ECCV Simultaneous Detection and Segmentation
  • 2014 ECCV Learning Rich Features from RGB-D Images for Object Detection and Segmentation
  • 2014 ICML On Learning to Localize Objects with Minimal Supervision
  • 2014 CVPR Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  • 2014 CVPR Using k-poselets for Detecting People and Localizing their Keypoints
  • 2013 ICCV Training Deformable Part Models with Decorrelated Features
  • 2013 ICML Discriminatively Activated Sparselets
  • 2012 ECCV Sparselet Models for Efficient Multiclass Object Detection
  • 2011 NIPS Object Detection with Grammar Models
  • 2010 PAMI Object Detection with Discriminatively Trained Part Based Models
  • 2010 CVPR Cascade Object Detection with Deformable Part Models

Pablo Arbelaez Pablo Arbelaez

https://biomedicalcomputervision.uniandes.edu.co/
http://www.cs.berkeley.edu/~arbelaez/
【Bio】Assistant Professor of Uniandes, previously postdoc at UC Berkeley
【Focus on】image segmentation, object detection, scene parsing, RGB-D data parsing
【Code】

  • 2015 CVPR Hypercolumns for Object Segmentation and Fine-grained Localization
  • 2015 CVPR Learning to Segment Moving Objects in Videos
  • 2015 ICCV Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation
  • 2014 ECCV Simultaneous Detection and Segmentation
  • 2014 ECCV Learning Rich Features from RGB-D Images for Object Detection and Segmentation
  • 2014 CVPR Multiscale Combinatorial Grouping
  • 2014 JSB Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs
  • 2013 ICCV Volumetric Semantic Segmentation using Pyramid Context Features
  • 2011 PAMI Contour Detection and Hierarchical Image Segmentation
  • 2009 CVPR Recognition using Regions

Maneesh Agrawala
http://vis.berkeley.edu/people/
【Bio】Prof, lead of a group(Visualization Lab)
【Focus on】


Karim Ali Karim Ali
http://www.karimali.org/
【Bio】Postdoc
【Focus on】object detection, visual tracking


Jonathan Long Jonathan Long
http://www.cs.berkeley.edu/~jonlong/
【Bio】PhD candidate
【Focus on】deep learning, object detection, scene parsing
【Code】

  • 2015 CVPR Fully Convolutional Networks for Semantic Segmentation

Jitendra Malik Jitendra Malik
http://www.cs.berkeley.edu/~malik/
http://www.eecs.berkeley.edu/Research/Projects/CS/vision/
【Bio】Professor, root of the tree, leader of a group
【Focus on】Recognition, Reconstruction, Complex Illumination


Yangqing Jia Yangqing Jia
http://www.eecs.berkeley.edu/~jiayq/
【Bio】Researcher of google, PhD from UC Berkeley,  Bachelor and M.S from TsingHua
【Focus on】image feature extraction, large-scale vision feasible and affordable
【Code】

  • Caffe
  • DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Jon Barron Jon Barron
http://www.cs.berkeley.edu/~barron/
【Bio】Researcher of google, PhD from UC Berkeley
【Focus on】 inferring the physical world (shape, depth, motion, paint, light, colors, etc) from images
【Code】

  • 2016 ECCV The Fast Bilateral Solver
  • 2016 CVPR Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
  • 2016 PAMI Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
  • 2015 PAMI Shape, Illumination, and Reflectance from Shading
  • 2013 CVPR Intrinsic Scene Properties from a Single RGB-D Image
  • 2011 CVPR A Category-Level 3-D Object Dataset: Putting the Kinect to Work

Michael Jordan Michael Jordan
http://www.cs.berkeley.edu/~jordan/
【Bio】Professor, lots of lectures
【Focus on】 machine learning


Trevor Darrell Trevor Darrell
http://www.eecs.berkeley.edu/~trevor/
【Bio】Professor, PhD from MIT
【Focus on】Deep learning, machine learning
【Code】

  • Caffe: Open Source Deep Learning
  • LRCN: Long-term Recurrent Convolutional Networks
  • LSDA: Large Scale Detector Adaptation
  • RAPTOR: Interactive Detector Learning
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