Index for he_k

He, K. Standard Author Listing
     with: Bargal, S.A.: Hashing as Tie-Aware Learning to Rank
     with: Bargal, S.A.: Hashing with Mutual Information
     with: Bargal, S.A.: MIHash: Online Hashing with Mutual Information
     with: Betke, M.: Predicting Foreground Object Ambiguity and Efficiently Crow...
     with: Biswas, A.: Methodological Framework to Retrospectively Obtain Downsca...
     with: Cakir, F.: Deep Metric Learning to Rank
     with: Cakir, F.: Hashing as Tie-Aware Learning to Rank
     with: Cakir, F.: Hashing with Binary Matrix Pursuit
     with: Cakir, F.: Hashing with Mutual Information
     with: Cakir, F.: MIHash: Online Hashing with Mutual Information
     with: Cao, C.: Sensor Stability for SST (3S): Toward Improved Long-Term Char...
     with: Cao, J.: FuseGAN: Learning to Fuse Multi-Focus Image via Conditional G...
     with: Cao, X.: Pelvic Organ Segmentation Using Distinctive Curve Guided Full...
     with: Chen, Q.X.: Using Nighttime Light Data and POI Big Data to Detect the ...
     with: Chen, X.: TensorMask: A Foundation for Dense Object Segmentation
     with: Cossairt, O.: Bayesian Approach for Automatic Joint Parameter Estimati...
     with: Cossairt, O.: Compressive reconstruction for 3D incoherent holographic...
     with: Cossairt, O.: Event-Driven Video Frame Synthesis
     with: Cossairt, O.: Interior Point Method for Nonnegative Sparse Signal Reco...
     with: Cossairt, O.: Video compressive sensing with on-chip programmable subs...
     with: Daddysman, M.: Bayesian Approach for Automatic Joint Parameter Estimat...
     with: Dai, J.: BoxSup: Exploiting Bounding Boxes to Supervise Convolutional ...
     with: Dai, J.: Instance-Aware Semantic Segmentation via Multi-task Network C...
     with: Dai, J.: ScribbleSup: Scribble-Supervised Convolutional Networks for S...
     with: Darrell, T.J.: Learning to Segment Every Thing
     with: Deng, L.: Congestion Avoidance Routing Based on Large-Scale Social Sig...
     with: Dollar, P.: Aggregated Residual Transformations for Deep Neural Networks
     with: Dollar, P.: Designing Network Design Spaces
     with: Dollar, P.: Detecting and Recognizing Human-Object Interactions
     with: Dollar, P.: Learning to Segment Every Thing
     with: Dollar, P.: Panoptic Segmentation
     with: Dollar, P.: Rethinking ImageNet Pre-Training
     with: Dollar, P.: TensorMask: A Foundation for Dense Object Segmentation
     with: Dong, C.: Image Super-Resolution Using Deep Convolutional Networks
     with: Dong, C.: Learning a Deep Convolutional Network for Image Super-Resolu...
     with: Fan, H.: Long-Term Feature Banks for Detailed Video Understanding
     with: Fan, H.: SlowFast Networks for Video Recognition
     with: Fang, W.Z.: Comparisons of Spatially Downscaling TMPA and IMERG over t...
     with: Feichtenhofer, C.: Long-Term Feature Banks for Detailed Video Understa...
     with: Feichtenhofer, C.: SlowFast Networks for Video Recognition
     with: Feilhauer, H.: Modeling Species Distribution Using Niche-Based Proxies...
     with: Ferrier, N.J.: Bayesian Approach for Automatic Joint Parameter Estimat...
     with: Ferrier, N.J.: Interior Point Method for Nonnegative Sparse Signal Rec...
     with: Gao, Y.: Pelvic Organ Segmentation Using Distinctive Curve Guided Full...
     with: Gdor, I.: Bayesian Approach for Automatic Joint Parameter Estimation i...
     with: Ge, T.Z.: Graph Cuts for Supervised Binary Coding
     with: Ge, T.Z.: Product Sparse Coding
     with: Ge, Y.: Single-Image Shadow Removal Using 3D Intensity Surface Modeling
     with: Geng, G.: Fusing Observational, Satellite Remote Sensing and Air Quali...
     with: Gerstlauer, A.: Circuit-Level Timing-Error Acceptance for Design of En...
     with: Girshick, R.: Aggregated Residual Transformations for Deep Neural Netw...
     with: Girshick, R.: Designing Network Design Spaces
     with: Girshick, R.: Detecting and Recognizing Human-Object Interactions
     with: Girshick, R.: Exploring Randomly Wired Neural Networks for Image Recog...
     with: Girshick, R.: Learning to Segment Every Thing
     with: Girshick, R.: Long-Term Feature Banks for Detailed Video Understanding
     with: Girshick, R.: Panoptic Segmentation
     with: Girshick, R.: PointRend: Image Segmentation As Rendering
     with: Girshick, R.: Rethinking ImageNet Pre-Training
     with: Girshick, R.: TensorMask: A Foundation for Dense Object Segmentation
     with: Gkioxari, G.: Detecting and Recognizing Human-Object Interactions
     with: Grauman, K.: Predicting Foreground Object Ambiguity and Efficiently Cr...
     with: Guibas, L.: Deep Hough Voting for 3D Object Detection in Point Clouds
     with: Guo, X.: FuseGAN: Learning to Fuse Multi-Focus Image via Conditional G...
     with: Gurari, D.: Predicting Foreground Object Ambiguity and Efficiently Cro...
     with: He, Y.: Comparisons of Spatially Downscaling TMPA and IMERG over the T...
     with: Hereld, M.: Bayesian Approach for Automatic Joint Parameter Estimation...
     with: Hereld, M.: Interior Point Method for Nonnegative Sparse Signal Recons...
     with: Hong, Y.: Comparisons of Spatially Downscaling TMPA and IMERG over the...
     with: Hopcroft, J.E.: Single Image Reflection Removal Through Cascaded Refin...
     with: Hu, R.: Learning to Segment Every Thing
     with: Huang, W.R.: Effective inpainting method for natural textures with gra...
     with: Huang, X.: Bayesian Approach for Automatic Joint Parameter Estimation ...
     with: Huang, X.: Compressive reconstruction for 3D incoherent holographic mi...
     with: Huang, X.: Interior Point Method for Nonnegative Sparse Signal Reconst...
     with: Ignatov, A.: Sensor Stability for SST (3S): Toward Improved Long-Term ...
     with: Jain, S.D.: Predicting Foreground Object Ambiguity and Efficiently Cro...
     with: Jia, F.: Degraded document image binarization using structural symmetr...
     with: Jia, F.: Fisher vector for scene character recognition: A comprehensiv...
     with: Jia, J.: ScribbleSup: Scribble-Supervised Convolutional Networks for S...
     with: Jiang, H.: Scale resilient, rotation invariant articulated object matc...
     with: Jiang, W.: Event-Driven Video Frame Synthesis
     with: Jiang, X.: Fusing Observational, Satellite Remote Sensing and Air Qual...
     with: Katsaggelos, A.: Compressive reconstruction for 3D incoherent holograp...
     with: Katsaggelos, A.: Event-Driven Video Frame Synthesis
     with: Katsaggelos, A.: Video compressive sensing with on-chip programmable s...
     with: Katsaggelos, A.K.: Bayesian Approach for Automatic Joint Parameter Est...
     with: Katsaggelos, A.K.: Interior Point Method for Nonnegative Sparse Signal...
     with: Kihai, Y.: Sensor Stability for SST (3S): Toward Improved Long-Term Ch...
     with: Kirillov, A.: Exploring Randomly Wired Neural Networks for Image Recog...
     with: Kirillov, A.: Panoptic Segmentation
     with: Kirillov, A.: PointRend: Image Segmentation As Rendering
     with: Kosaraju, R.P.: Designing Network Design Spaces
     with: Krahenbuhl, P.: Long-Term Feature Banks for Detailed Video Understanding
     with: Kulis, B.: Deep Metric Learning to Rank
     with: Li, C.: Single Image Reflection Removal Through Cascaded Refinement
     with: Li, D.P.: geodesic-preserving method for image warping, A
     with: Lin, D.: ScribbleSup: Scribble-Supervised Convolutional Networks for S...
     with: Lin, S.: Single Image Reflection Removal Through Cascaded Refinement
     with: Litany, O.: Deep Hough Voting for 3D Object Detection in Point Clouds
     with: Liu, C.: Using Tucker Decomposition to Compress Color Images
     with: Liu, L.: Wave Interferometry Applied to Borehole Radar: Virtual Multio...
     with: Lou, G.: Using Nighttime Light Data and POI Big Data to Detect the Urb...
     with: Loy, C.C.: Image Super-Resolution Using Deep Convolutional Networks
     with: Loy, C.C.: Learning a Deep Convolutional Network for Image Super-Resol...
     with: Lu, Y.: Local Descriptors Optimized for Average Precision
     with: Ma, Z.Q.: Comparisons of Spatially Downscaling TMPA and IMERG over the...
     with: Ma, Z.Q.: Methodological Framework to Retrospectively Obtain Downscale...
     with: Malik, J.: SlowFast Networks for Video Recognition
     with: Matsuda, N.: Compressive reconstruction for 3D incoherent holographic ...
     with: Mei, L.: FuseGAN: Learning to Fuse Multi-Focus Image via Conditional G...
     with: Nie, D.: Pelvic Organ Segmentation Using Distinctive Curve Guided Full...
     with: Nie, R.: FuseGAN: Learning to Fuse Multi-Focus Image via Conditional G...
     with: Niu, J.H.: Effective inpainting method for natural textures with gradu...
     with: Orshansky, M.: Circuit-Level Timing-Error Acceptance for Design of Ene...
     with: Qi, C.R.: Deep Hough Voting for 3D Object Detection in Point Clouds
     with: Radosavovic, I.: Designing Network Design Spaces
     with: Rhemann, C.: global sampling method for alpha matting, A
     with: Rocchini, D.: Modeling Species Distribution Using Niche-Based Proxies ...
     with: Rother, C.: global sampling method for alpha matting, A
     with: Rother, C.: Panoptic Segmentation
     with: Ruiz, P.: Bayesian Approach for Automatic Joint Parameter Estimation i...
     with: Sameki, M.: Predicting Foreground Object Ambiguity and Efficiently Cro...
     with: Scherer, N.: Bayesian Approach for Automatic Joint Parameter Estimatio...
     with: Sclaroff, S.: Deep Metric Learning to Rank
     with: Sclaroff, S.: Hashing as Tie-Aware Learning to Rank
     with: Sclaroff, S.: Hashing with Binary Matrix Pursuit
     with: Sclaroff, S.: Hashing with Mutual Information
     with: Sclaroff, S.: Local Descriptors Optimized for Average Precision
     with: Sclaroff, S.: MIHash: Online Hashing with Mutual Information
     with: Sclaroff, S.: Parameterizing Object Detectors in the Continuous Pose S...
     with: Sclaroff, S.: Predicting Foreground Object Ambiguity and Efficiently C...
     with: Sclaroff, S.: Scale resilient, rotation invariant articulated object m...
     with: Selewa, A.: Bayesian Approach for Automatic Joint Parameter Estimation...
     with: Shang, R.: Compressive reconstruction for 3D incoherent holographic mi...
     with: Sharma, M.: Compressive reconstruction for 3D incoherent holographic m...
     with: Shen, C.N.: Effective inpainting method for natural textures with grad...
     with: Shen, D.: Pelvic Organ Segmentation Using Distinctive Curve Guided Ful...
     with: Shi, B.: Event-Driven Video Frame Synthesis
     with: Shi, C.Z.: Degraded document image binarization using structural symme...
     with: Shi, C.Z.: Fisher vector for scene character recognition: A comprehens...
     with: Shi, Y.: Pelvic Organ Segmentation Using Distinctive Curve Guided Full...
     with: Shi, Z.: Methodological Framework to Retrospectively Obtain Downscaled...
     with: Shi, Z.: Using Nighttime Light Data and POI Big Data to Detect the Urb...
     with: Sigal, L.: Parameterizing Object Detectors in the Continuous Pose Space
     with: Spinoulas, L.: Compressive reconstruction for 3D incoherent holographi...
     with: Spinoulas, L.: Video compressive sensing with on-chip programmable sub...
     with: Stroup, J.: Sensor Stability for SST (3S): Toward Improved Long-Term C...
     with: Sun, J.: BoxSup: Exploiting Bounding Boxes to Supervise Convolutional ...
     with: Sun, J.: Computing nearest-neighbor fields via Propagation-Assisted KD...
     with: Sun, J.: geodesic-preserving method for image warping, A
     with: Sun, J.: global sampling method for alpha matting, A
     with: Sun, J.: Graph Cuts for Supervised Binary Coding
     with: Sun, J.: Instance-Aware Semantic Segmentation via Multi-task Network C...
     with: Sun, J.: K-Means Hashing: An Affinity-Preserving Quantization Method f...
     with: Sun, J.: Product Sparse Coding
     with: Sun, J.: ScribbleSup: Scribble-Supervised Convolutional Networks for S...
     with: Tan, X.: Comparisons of Spatially Downscaling TMPA and IMERG over the ...
     with: Tang, X.: global sampling method for alpha matting, A
     with: Tang, X.O.: Image Super-Resolution Using Deep Convolutional Networks
     with: Tang, X.O.: Learning a Deep Convolutional Network for Image Super-Reso...
     with: Teng, H.: Methodological Framework to Retrospectively Obtain Downscale...
     with: Tian, T.P.: Scale resilient, rotation invariant articulated object mat...
     with: Tong, M.: improved GrabCut on multiscale features, An
     with: Tu, L.: Congestion Avoidance Routing Based on Large-Scale Social Signals
     with: Tu, Z.: Aggregated Residual Transformations for Deep Neural Networks
     with: Wang, C.H.: Degraded document image binarization using structural symm...
     with: Wang, C.H.: Fisher vector for scene character recognition: A comprehen...
     with: Wang, D.: Image segmentation using the level set and improved-variatio...
     with: Wang, D.: improved GrabCut on multiscale features, An
     with: Wang, D.F.: Using Tucker Decomposition to Compress Color Images
     with: Wang, P.: Congestion Avoidance Routing Based on Large-Scale Social Sig...
     with: Wang, X.: Bayesian Approach for Automatic Joint Parameter Estimation i...
     with: Wang, Y.: Fisher vector for scene character recognition: A comprehensi...
     with: Wang, Z.W.: Event-Driven Video Frame Synthesis
     with: Wen, F.: K-Means Hashing: An Affinity-Preserving Quantization Method f...
     with: Wu, C.Y.: Long-Term Feature Banks for Detailed Video Understanding
     with: Wu, Y.: PointRend: Image Segmentation As Rendering
     with: Wu, Y.X.: Group Normalization
     with: Xia, J.P.: Using Tucker Decomposition to Compress Color Images
     with: Xia, X.: Deep Metric Learning to Rank
     with: Xiao, B.H.: Degraded document image binarization using structural symm...
     with: Xiao, B.H.: Fisher vector for scene character recognition: A comprehen...
     with: Xie, S.: Aggregated Residual Transformations for Deep Neural Networks
     with: Xie, S.: Exploring Randomly Wired Neural Networks for Image Recognition
     with: Xiong, B.: Predicting Foreground Object Ambiguity and Efficiently Crow...
     with: Xu, J.F.: Methodological Framework to Retrospectively Obtain Downscale...
     with: Xu, J.T.: Comparisons of Spatially Downscaling TMPA and IMERG over the...
     with: Xu, Z.: Congestion Avoidance Routing Based on Large-Scale Social Signals
     with: Xue, T.: Fusing Observational, Satellite Remote Sensing and Air Qualit...
     with: Yan, J.: Single-Image Shadow Removal Using 3D Intensity Surface Modeling
     with: Yang, Y.: Single Image Reflection Removal Through Cascaded Refinement
     with: Yoo, S.: Bayesian Approach for Automatic Joint Parameter Estimation in...
     with: Yoo, S.: Compressive reconstruction for 3D incoherent holographic micr...
     with: Yoo, S.W.: Interior Point Method for Nonnegative Sparse Signal Reconst...
     with: Yu, W.: Methodological Framework to Retrospectively Obtain Downscaled ...
     with: Zhang, J.M.: Predicting Foreground Object Ambiguity and Efficiently Cr...
     with: Zhang, Q.: Fusing Observational, Satellite Remote Sensing and Air Qual...
     with: Zhang, X.: Image segmentation using the level set and improved-variati...
     with: Zhao, R.: Methodological Framework to Retrospectively Obtain Downscale...
     with: Zhen, R.: Single-Image Shadow Removal Using 3D Intensity Surface Model...
     with: Zheng, B.: Fusing Observational, Satellite Remote Sensing and Air Qual...
     with: Zheng, Y.: Fusing Observational, Satellite Remote Sensing and Air Qual...
     with: Zhou, D.: FuseGAN: Learning to Fuse Multi-Focus Image via Conditional ...
     with: Zhou, J.L.: Using Tucker Decomposition to Compress Color Images
     with: Zhou, K.: geodesic-preserving method for image warping, A
     with: Zhou, Y.: Using Nighttime Light Data and POI Big Data to Detect the Ur...
     with: Zhu, Z.J.: improved GrabCut on multiscale features, An
208 for He, K.

He, K.F. Standard Author Listing
     with: Flechtner, F.: Improving the Performance of Multi-GNSS (Global Navigat...
     with: Forste, C.: Improving the Performance of Multi-GNSS (Global Navigation...
     with: Li, M.: Improving the Performance of Multi-GNSS (Global Navigation Sat...
     with: Lu, B.: Improving the Performance of Multi-GNSS (Global Navigation Sat...
     with: Xu, T.H.: Improving the Performance of Multi-GNSS (Global Navigation S...

He, K.M. Standard Author Listing
     with: Belongie, S.: Feature Pyramid Networks for Object Detection
     with: Bharambe, A.: Exploring the Limits of Weakly Supervised Pretraining
     with: Chang, H.: Content-Aware Rotation
     with: Dai, J.: Instance-Sensitive Fully Convolutional Networks
     with: Dai, J.F.: Convolutional feature masking for joint object and stuff se...
     with: Dollar, P.: Data Distillation: Towards Omni-Supervised Learning
     with: Dollar, P.: Feature Pyramid Networks for Object Detection
     with: Dollar, P.: Focal Loss for Dense Object Detection
     with: Dollar, P.: Mask R-CNN
     with: Dollar, P.: Panoptic Feature Pyramid Networks
     with: Fan, H.Q.: Momentum Contrast for Unsupervised Visual Representation Le...
     with: Feichtenhofer, C.: Multigrid Method for Efficiently Training Video Mod...
     with: Ge, T.Z.: Optimized Product Quantization
     with: Ge, T.Z.: Optimized Product Quantization for Approximate Nearest Neigh...
     with: Girshick, R.: Data Distillation: Towards Omni-Supervised Learning
     with: Girshick, R.: Exploring the Limits of Weakly Supervised Pretraining
     with: Girshick, R.: Faster R-CNN: Towards Real-Time Object Detection with Re...
     with: Girshick, R.: Feature Pyramid Networks for Object Detection
     with: Girshick, R.: Focal Loss for Dense Object Detection
     with: Girshick, R.: Mask R-CNN
     with: Girshick, R.: Momentum Contrast for Unsupervised Visual Representation...
     with: Girshick, R.: Multigrid Method for Efficiently Training Video Models, A
     with: Girshick, R.: Non-local Neural Networks
     with: Girshick, R.: Object Detection Networks on Convolutional Feature Maps
     with: Girshick, R.: Panoptic Feature Pyramid Networks
     with: Gkioxari, G.: Data Distillation: Towards Omni-Supervised Learning
     with: Gkioxari, G.: Mask R-CNN
     with: Goyal, P.: Focal Loss for Dense Object Detection
     with: Gupta, A.: Non-local Neural Networks
     with: Gupta, A.: Transitive Invariance for Self-Supervised Visual Representa...
     with: Hariharan, B.: Feature Pyramid Networks for Object Detection
     with: Ke, Q.: Optimized Product Quantization
     with: Ke, Q.: Optimized Product Quantization for Approximate Nearest Neighbo...
     with: Kirillov, A.: Panoptic Feature Pyramid Networks
     with: Kohli, P.: Sparse projections for high-dimensional binary codes
     with: Krahenbuhl, P.: Multigrid Method for Efficiently Training Video Models...
     with: Li, Y.: Instance-Sensitive Fully Convolutional Networks
     with: Li, Y.X.: Exploring the Limits of Weakly Supervised Pretraining
     with: Liang, X.D.: Is Faster R-CNN Doing Well for Pedestrian Detection?
     with: Lin, L.: Is Faster R-CNN Doing Well for Pedestrian Detection?
     with: Lin, T.Y.: Feature Pyramid Networks for Object Detection
     with: Lin, T.Y.: Focal Loss for Dense Object Detection
     with: Ma, Z.Y.: Constant Time Weighted Median Filtering for Stereo Matching ...
     with: Mahajan, D.: Exploring the Limits of Weakly Supervised Pretraining
     with: Ming, X.: Efficient and accurate approximations of nonlinear convoluti...
     with: Paluri, M.: Exploring the Limits of Weakly Supervised Pretraining
     with: Radosavovic, I.: Data Distillation: Towards Omni-Supervised Learning
     with: Ramanathan, V.: Exploring the Limits of Weakly Supervised Pretraining
     with: Ren, S.Q.: Deep Residual Learning for Image Recognition
     with: Ren, S.Q.: Delving Deep into Rectifiers: Surpassing Human-Level Perfor...
     with: Ren, S.Q.: Faster R-CNN: Towards Real-Time Object Detection with Regio...
     with: Ren, S.Q.: Identity Mappings in Deep Residual Networks
     with: Ren, S.Q.: Instance-Sensitive Fully Convolutional Networks
     with: Ren, S.Q.: Object Detection Networks on Convolutional Feature Maps
     with: Ren, S.Q.: Spatial Pyramid Pooling in Deep Convolutional Networks for ...
     with: Sun, J.: Accelerating Very Deep Convolutional Networks for Classificat...
     with: Sun, J.: Constant Time Weighted Median Filtering for Stereo Matching a...
     with: Sun, J.: Content-Aware Rotation
     with: Sun, J.: Convolutional feature masking for joint object and stuff segm...
     with: Sun, J.: Convolutional neural networks at constrained time cost
     with: Sun, J.: Deep Residual Learning for Image Recognition
     with: Sun, J.: Delving Deep into Rectifiers: Surpassing Human-Level Performa...
     with: Sun, J.: Efficient and accurate approximations of nonlinear convolutio...
     with: Sun, J.: Fast matting using large kernel matting Laplacian matrices
     with: Sun, J.: Faster R-CNN: Towards Real-Time Object Detection with Region ...
     with: Sun, J.: Guided Image Filtering
     with: Sun, J.: Identity Mappings in Deep Residual Networks
     with: Sun, J.: Image Completion Approaches Using the Statistics of Similar P...
     with: Sun, J.: Instance-Sensitive Fully Convolutional Networks
     with: Sun, J.: Joint Inverted Indexing
     with: Sun, J.: Object Detection Networks on Convolutional Feature Maps
     with: Sun, J.: Optimized Product Quantization
     with: Sun, J.: Optimized Product Quantization for Approximate Nearest Neighb...
     with: Sun, J.: Single Image Haze Removal Using Dark Channel Prior
     with: Sun, J.: Sparse projections for high-dimensional binary codes
     with: Sun, J.: Spatial Pyramid Pooling in Deep Convolutional Networks for Vi...
     with: Sun, J.: Statistics of Patch Offsets for Image Completion
     with: Tang, X.: Fast matting using large kernel matting Laplacian matrices
     with: Tang, X.: Guided Image Filtering
     with: Tang, X.: Single Image Haze Removal Using Dark Channel Prior
     with: van der Maaten, L.: Exploring the Limits of Weakly Supervised Pretrain...
     with: van der Maaten, L.: Feature Denoising for Improving Adversarial Robust...
     with: Wang, X.L.: Non-local Neural Networks
     with: Wang, X.L.: Transitive Invariance for Self-Supervised Visual Represent...
     with: Wei, Y.C.: Constant Time Weighted Median Filtering for Stereo Matching...
     with: Wen, F.: Joint Inverted Indexing
     with: Wu, C.Y.: Multigrid Method for Efficiently Training Video Models, A
     with: Wu, E.: Constant Time Weighted Median Filtering for Stereo Matching an...
     with: Wu, Y.X.: Feature Denoising for Improving Adversarial Robustness
     with: Wu, Y.X.: Group Normalization
     with: Wu, Y.X.: Momentum Contrast for Unsupervised Visual Representation Lea...
     with: Xia, Y.: Joint Inverted Indexing
     with: Xia, Y.: Sparse projections for high-dimensional binary codes
     with: Xie, C.: Feature Denoising for Improving Adversarial Robustness
     with: Xie, S.N.: Momentum Contrast for Unsupervised Visual Representation Le...
     with: Yuille, A.L.: Feature Denoising for Improving Adversarial Robustness
     with: Zhang, L.L.: Is Faster R-CNN Doing Well for Pedestrian Detection?
     with: Zhang, X.: Object Detection Networks on Convolutional Feature Maps
     with: Zhang, X.Y.: Accelerating Very Deep Convolutional Networks for Classif...
     with: Zhang, X.Y.: Deep Residual Learning for Image Recognition
     with: Zhang, X.Y.: Delving Deep into Rectifiers: Surpassing Human-Level Perf...
     with: Zhang, X.Y.: Efficient and accurate approximations of nonlinear convol...
     with: Zhang, X.Y.: Identity Mappings in Deep Residual Networks
     with: Zhang, X.Y.: Spatial Pyramid Pooling in Deep Convolutional Networks fo...
     with: Zou, J.H.: Accelerating Very Deep Convolutional Networks for Classific...
     with: Zou, J.H.: Efficient and accurate approximations of nonlinear convolut...
120 for He, K.M.

He, K.W. Standard Author Listing
     with: Bu, J.J.: Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC
     with: Chen, C.: Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC
     with: Liu, Y.: Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC
     with: Mo, L.J.: Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC

He, K.Z. Standard Author Listing
     with: Jin, Y.X.: Color Model based real-time Face Detection with AdaBoost in...
     with: Liu, H.P.: Color Model based real-time Face Detection with AdaBoost in...
     with: Peng, Y.X.: Color Model based real-time Face Detection with AdaBoost i...
     with: Sun, F.C.: Color Model based real-time Face Detection with AdaBoost in...
     with: Tao, L.M.: Color Model based real-time Face Detection with AdaBoost in...

Index for "h"


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