Index for girs

Girshick, R. Standard Author Listing
     with: Agrawal, P.: Analyzing the Performance of Multilayer Neural Networks f...
     with: Althoff, T.: Sparselet Models for Efficient Multiclass Object Detection
     with: Arbelaez, P.: Aligning 3D models to RGB-D images of cluttered scenes
     with: Arbelaez, P.: Hypercolumns for object segmentation and fine-grained lo...
     with: Arbelaez, P.: Indoor Scene Understanding with RGB-D Images: Bottom-up ...
     with: Arbelaez, P.: Learning Rich Features from RGB-D Images for Object Dete...
     with: Arbelaez, P.: Object Instance Segmentation and Fine-Grained Localizati...
     with: Arbelaez, P.: Perceptual Organization and Recognition of Indoor Scenes...
     with: Arbelaez, P.: Simultaneous Detection and Segmentation
     with: Arbelaez, P.: three R's of computer vision: Recognition, reconstructio...
     with: Bala, K.: Inside-Outside Net: Detecting Objects in Context with Skip P...
     with: Bell, S.: Inside-Outside Net: Detecting Objects in Context with Skip P...
     with: Belongie, S.: Feature Pyramid Networks for Object Detection
     with: Bharambe, A.: Exploring the Limits of Weakly Supervised Pretraining
     with: Blake, A.: Efficient Human Pose Estimation from Single Depth Images
     with: Blaschko, M.B.: Understanding Objects in Detail with Fine-Grained Attr...
     with: Carreira, J.: three R's of computer vision: Recognition, reconstructio...
     with: Cook, M.: Efficient Human Pose Estimation from Single Depth Images
     with: Criminisi, A.: Efficient Human Pose Estimation from Single Depth Images
     with: Criminisi, A.: Efficient Regression of General-Activity Human Poses fr...
     with: Darrell, T.J.: Deformable part models are convolutional neural networks
     with: Darrell, T.J.: Generalized Sparselet Models for Real-Time Multiclass O...
     with: Darrell, T.J.: Learning Features by Watching Objects Move
     with: Darrell, T.J.: Learning to Segment Every Thing
     with: Darrell, T.J.: Part-Based R-CNNs for Fine-Grained Category Detection
     with: Darrell, T.J.: Region-Based Convolutional Networks for Accurate Object...
     with: Darrell, T.J.: Rich Feature Hierarchies for Accurate Object Detection ...
     with: Darrell, T.J.: Sparselet Models for Efficient Multiclass Object Detect...
     with: Divvala, S.: You Only Look Once: Unified, Real-Time Object Detection
     with: Dollar, P.: Aggregated Residual Transformations for Deep Neural Networks
     with: Dollar, P.: Data Distillation: Towards Omni-Supervised Learning
     with: Dollar, P.: Detecting and Recognizing Human-Object Interactions
     with: Dollar, P.: Feature Pyramid Networks for Object Detection
     with: Dollar, P.: Focal Loss for Dense Object Detection
     with: Dollar, P.: Learning Features by Watching Objects Move
     with: Dollar, P.: Learning to Segment Every Thing
     with: Dollar, P.: LVIS: A Dataset for Large Vocabulary Instance Segmentation
     with: Dollar, P.: Mask R-CNN
     with: Dollar, P.: Panoptic Feature Pyramid Networks
     with: Dollar, P.: Panoptic Segmentation
     with: Donahue, J.: Part-Based R-CNNs for Fine-Grained Category Detection
     with: Donahue, J.: Region-Based Convolutional Networks for Accurate Object D...
     with: Donahue, J.: Rich Feature Hierarchies for Accurate Object Detection an...
     with: Fan, H.: Long-Term Feature Banks for Detailed Video Understanding
     with: Farhadi, A.: Deep3D: Fully Automatic 2D-to-3D Video Conversion with De...
     with: Farhadi, A.: You Only Look Once: Unified, Real-Time Object Detection
     with: Fei Fei, L.: CLEVR: A Diagnostic Dataset for Compositional Language an...
     with: Fei Fei, L.: Inferring and Executing Programs for Visual Reasoning
     with: Feichtenhofer, C.: Long-Term Feature Banks for Detailed Video Understa...
     with: Felzenszwalb, P.F.: Generalized Sparselet Models for Real-Time Multicl...
     with: Felzenszwalb, P.F.: Sparselet Models for Efficient Multiclass Object D...
     with: Fergus, R.: Learning by Asking Questions
     with: Finocchio, M.: Efficient Human Pose Estimation from Single Depth Images
     with: Fitzgibbon, A.: Efficient Human Pose Estimation from Single Depth Images
     with: Fitzgibbon, A.W.: Efficient Regression of General-Activity Human Poses...
     with: Fragkiadaki, K.: three R's of computer vision: Recognition, reconstruc...
     with: Fritz, M.: Sparselet Models for Efficient Multiclass Object Detection
     with: Geyer, C.: Generalized Sparselet Models for Real-Time Multiclass Objec...
     with: Geyer, C.: Sparselet Models for Efficient Multiclass Object Detection
     with: Gkioxari, G.: Actions and Attributes from Wholes and Parts
     with: Gkioxari, G.: Contextual Action Recognition with R*CNN
     with: Gkioxari, G.: Data Distillation: Towards Omni-Supervised Learning
     with: Gkioxari, G.: Detecting and Recognizing Human-Object Interactions
     with: Gkioxari, G.: Mask R-CNN
     with: Gkioxari, G.: three R's of computer vision: Recognition, reconstructio...
     with: Gkioxari, G.: Using k-Poselets for Detecting People and Localizing The...
     with: Goyal, P.: Focal Loss for Dense Object Detection
     with: Gupta, A.: Learning by Asking Questions
     with: Gupta, A.: LVIS: A Dataset for Large Vocabulary Instance Segmentation
     with: Gupta, A.: Non-local Neural Networks
     with: Gupta, A.: Training Region-Based Object Detectors with Online Hard Exa...
     with: Gupta, S.: Aligning 3D models to RGB-D images of cluttered scenes
     with: Gupta, S.: Indoor Scene Understanding with RGB-D Images: Bottom-up Seg...
     with: Gupta, S.: Learning Rich Features from RGB-D Images for Object Detecti...
     with: Gupta, S.: Perceptual Organization and Recognition of Indoor Scenes fr...
     with: Gupta, S.: three R's of computer vision: Recognition, reconstruction a...
     with: Hariharan, B.: CLEVR: A Diagnostic Dataset for Compositional Language ...
     with: Hariharan, B.: Feature Pyramid Networks for Object Detection
     with: Hariharan, B.: Hypercolumns for object segmentation and fine-grained l...
     with: Hariharan, B.: Inferring and Executing Programs for Visual Reasoning
     with: Hariharan, B.: Learning Features by Watching Objects Move
     with: Hariharan, B.: Low-Shot Learning from Imaginary Data
     with: Hariharan, B.: Low-Shot Visual Recognition by Shrinking and Hallucinat...
     with: Hariharan, B.: Object Instance Segmentation and Fine-Grained Localizat...
     with: Hariharan, B.: Simultaneous Detection and Segmentation
     with: Hariharan, B.: three R's of computer vision: Recognition, reconstructi...
     with: Hariharan, B.: Using k-Poselets for Detecting People and Localizing Th...
     with: He, K.: Aggregated Residual Transformations for Deep Neural Networks
     with: He, K.: Detecting and Recognizing Human-Object Interactions
     with: He, K.: Learning to Segment Every Thing
     with: He, K.: Long-Term Feature Banks for Detailed Video Understanding
     with: He, K.: Panoptic Segmentation
     with: He, K.M.: Data Distillation: Towards Omni-Supervised Learning
     with: He, K.M.: Exploring the Limits of Weakly Supervised Pretraining
     with: He, K.M.: Faster R-CNN: Towards Real-Time Object Detection with Region...
     with: He, K.M.: Feature Pyramid Networks for Object Detection
     with: He, K.M.: Focal Loss for Dense Object Detection
     with: He, K.M.: Mask R-CNN
     with: He, K.M.: Non-local Neural Networks
     with: He, K.M.: Object Detection Networks on Convolutional Feature Maps
     with: He, K.M.: Panoptic Feature Pyramid Networks
     with: Hebert, M.: Learning by Asking Questions
     with: Hebert, M.: Low-Shot Learning from Imaginary Data
     with: Hoffman, J.: CLEVR: A Diagnostic Dataset for Compositional Language an...
     with: Hoffman, J.: Inferring and Executing Programs for Visual Reasoning
     with: Hu, R.: Learning to Segment Every Thing
     with: Iandola, F.: Deformable part models are convolutional neural networks
     with: Johnson, J.: CLEVR: A Diagnostic Dataset for Compositional Language an...
     with: Johnson, J.: Inferring and Executing Programs for Visual Reasoning
     with: Kannala, J.H.: Understanding Objects in Detail with Fine-Grained Attri...
     with: Kar, A.: three R's of computer vision: Recognition, reconstruction and...
     with: Kipman, A.: Efficient Human Pose Estimation from Single Depth Images
     with: Kirillov, A.: Panoptic Feature Pyramid Networks
     with: Kirillov, A.: Panoptic Segmentation
     with: Kohli, P.: Efficient Human Pose Estimation from Single Depth Images
     with: Kohli, P.: Efficient Regression of General-Activity Human Poses from D...
     with: Kokkinos, I.: Editorial: Deep Learning for Computer Vision
     with: Kokkinos, I.: Understanding Objects in Detail with Fine-Grained Attrib...
     with: Krahenbuhl, P.: Long-Term Feature Banks for Detailed Video Understanding
     with: Laptev, I.: Editorial: Deep Learning for Computer Vision
     with: Li, Y.X.: Exploring the Limits of Weakly Supervised Pretraining
     with: Lin, T.Y.: Feature Pyramid Networks for Object Detection
     with: Lin, T.Y.: Focal Loss for Dense Object Detection
     with: Mahajan, D.: Exploring the Limits of Weakly Supervised Pretraining
     with: Mahendran, S.: Understanding Objects in Detail with Fine-Grained Attri...
     with: Maji, S.: Understanding Objects in Detail with Fine-Grained Attributes
     with: Malik, J.: Actions and Attributes from Wholes and Parts
     with: Malik, J.: Aligning 3D models to RGB-D images of cluttered scenes
     with: Malik, J.: Analyzing the Performance of Multilayer Neural Networks for...
     with: Malik, J.: Contextual Action Recognition with R*CNN
     with: Malik, J.: Deformable part models are convolutional neural networks
     with: Malik, J.: Editorial: Deep Learning for Computer Vision
     with: Malik, J.: Hypercolumns for object segmentation and fine-grained local...
     with: Malik, J.: Indoor Scene Understanding with RGB-D Images: Bottom-up Seg...
     with: Malik, J.: Learning Rich Features from RGB-D Images for Object Detecti...
     with: Malik, J.: Object Instance Segmentation and Fine-Grained Localization ...
     with: Malik, J.: Perceptual Organization and Recognition of Indoor Scenes fr...
     with: Malik, J.: Region-Based Convolutional Networks for Accurate Object Det...
     with: Malik, J.: Rich Feature Hierarchies for Accurate Object Detection and ...
     with: Malik, J.: Simultaneous Detection and Segmentation
     with: Malik, J.: three R's of computer vision: Recognition, reconstruction a...
     with: Malik, J.: Training Deformable Part Models with Decorrelated Features
     with: Malik, J.: Using k-Poselets for Detecting People and Localizing Their ...
     with: Misra, I.: Learning by Asking Questions
     with: Misra, I.: Seeing through the Human Reporting Bias: Visual Classifiers...
     with: Mitchell, M.: Seeing through the Human Reporting Bias: Visual Classifi...
     with: Mohamed, S.: Understanding Objects in Detail with Fine-Grained Attribu...
     with: Moore, R.: Efficient Human Pose Estimation from Single Depth Images
     with: Paluri, M.: Exploring the Limits of Weakly Supervised Pretraining
     with: Papandreou, G.: Editorial: Deep Learning for Computer Vision
     with: Pathak, D.: Learning Features by Watching Objects Move
     with: Radosavovic, I.: Data Distillation: Towards Omni-Supervised Learning
     with: Rahtu, E.: Understanding Objects in Detail with Fine-Grained Attributes
     with: Ramanathan, V.: Exploring the Limits of Weakly Supervised Pretraining
     with: Redmon, J.: You Only Look Once: Unified, Real-Time Object Detection
     with: Ren, S.Q.: Faster R-CNN: Towards Real-Time Object Detection with Regio...
     with: Ren, S.Q.: Object Detection Networks on Convolutional Feature Maps
     with: Rother, C.: Panoptic Segmentation
     with: Saphra, N.: Understanding Objects in Detail with Fine-Grained Attributes
     with: Sharp, T.: Efficient Human Pose Estimation from Single Depth Images
     with: Shotton, J.D.J.: Efficient Regression of General-Activity Human Poses ...
     with: Shotton, J.J.D.: Efficient Human Pose Estimation from Single Depth Ima...
     with: Shrivastava, A.: Training Region-Based Object Detectors with Online Ha...
     with: Simonyan, K.: Understanding Objects in Detail with Fine-Grained Attrib...
     with: Song, H.O.: Generalized Sparselet Models for Real-Time Multiclass Obje...
     with: Song, H.O.: Sparselet Models for Efficient Multiclass Object Detection
     with: Sun, J.: Faster R-CNN: Towards Real-Time Object Detection with Region ...
     with: Sun, J.: Object Detection Networks on Convolutional Feature Maps
     with: Taskar, B.: Understanding Objects in Detail with Fine-Grained Attributes
     with: Tsogkas, S.: Understanding Objects in Detail with Fine-Grained Attribu...
     with: Tu, Z.: Aggregated Residual Transformations for Deep Neural Networks
     with: Tulsiani, S.: three R's of computer vision: Recognition, reconstructio...
     with: van der Maaten, L.: CLEVR: A Diagnostic Dataset for Compositional Lang...
     with: van der Maaten, L.: Exploring the Limits of Weakly Supervised Pretrain...
     with: van der Maaten, L.: Inferring and Executing Programs for Visual Reason...
     with: van der Maaten, L.: Learning by Asking Questions
     with: Vedaldi, A.: Editorial: Deep Learning for Computer Vision
     with: Vedaldi, A.: Understanding Objects in Detail with Fine-Grained Attribu...
     with: Wang, X.G.: Editorial: Deep Learning for Computer Vision
     with: Wang, X.L.: Non-local Neural Networks
     with: Wang, Y.: Low-Shot Learning from Imaginary Data
     with: Weiss, D.: Understanding Objects in Detail with Fine-Grained Attributes
     with: Wu, C.Y.: Long-Term Feature Banks for Detailed Video Understanding
     with: Xie, J.Y.: Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep...
     with: Xie, S.: Aggregated Residual Transformations for Deep Neural Networks
     with: Yan, S.C.: Editorial: Deep Learning for Computer Vision
     with: Yuille, A.: Editorial: Deep Learning for Computer Vision
     with: Zhang, N.: Part-Based R-CNNs for Fine-Grained Category Detection
     with: Zhang, X.: Object Detection Networks on Convolutional Feature Maps
     with: Zickler, S.: Generalized Sparselet Models for Real-Time Multiclass Obj...
     with: Zickler, S.: Sparselet Models for Efficient Multiclass Object Detection
     with: Zitnick, C.L.: CLEVR: A Diagnostic Dataset for Compositional Language ...
     with: Zitnick, C.L.: Inferring and Executing Programs for Visual Reasoning
     with: Zitnick, C.L.: Inside-Outside Net: Detecting Objects in Context with S...
     with: Zitnick, C.L.: Seeing through the Human Reporting Bias: Visual Classif...
202 for Girshick, R.

Girshick, R.B. Standard Author Listing
     with: Basri, R.: Visibility constraints on features of 3D objects
     with: Felzenszwalb, P.F.: Cascade object detection with deformable part models
     with: Felzenszwalb, P.F.: discriminatively trained, multiscale, deformable p...
     with: Felzenszwalb, P.F.: Object Detection with Discriminatively Trained Par...
     with: Felzenszwalb, P.F.: Visibility constraints on features of 3D objects
     with: Felzenszwalb, P.F.: Visual Object Detection with Deformable Part Models
     with: Jacobs, D.W.: Visibility constraints on features of 3D objects
     with: Klivans, C.J.: Visibility constraints on features of 3D objects
     with: McAllester, D.: Cascade object detection with deformable part models
     with: McAllester, D.: discriminatively trained, multiscale, deformable part ...
     with: McAllester, D.: Object Detection with Discriminatively Trained Part-Ba...
     with: McAllester, D.: Visual Object Detection with Deformable Part Models
     with: Ramanan, D.: Cascade object detection with deformable part models
     with: Ramanan, D.: discriminatively trained, multiscale, deformable part mod...
     with: Ramanan, D.: Object Detection with Discriminatively Trained Part-Based...
     with: Ramanan, D.: Visual Object Detection with Deformable Part Models
16 for Girshick, R.B.

Index for "g"


Last update: 6-Apr-20 20:42:40
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