*He, K.*
**Co Author Listing** * Aggregated Residual Transformations for Deep Neural Networks

* Bayesian Approach for Automatic Joint Parameter Estimation in 3D Image Reconstruction from Multi-Focus Microscope

* BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

* Circuit-Level Timing-Error Acceptance for Design of Energy-Efficient DCT/IDCT-Based Systems

* Compressive reconstruction for 3D incoherent holographic microscopy

* Computing nearest-neighbor fields via Propagation-Assisted KD-Trees

* Congestion Avoidance Routing Based on Large-Scale Social Signals

* Degraded document image binarization using structural symmetry of strokes

* Feature Pyramid Networks for Object Detection

* Fisher vector for scene character recognition: A comprehensive evaluation

* Focal Loss for Dense Object Detection

* Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM2.5 Exposure in China

* geodesic-preserving method for image warping, A

* global sampling method for alpha matting, A

* Graph Cuts for Supervised Binary Coding

* Group Normalization

* Hashing with Binary Matrix Pursuit

* Image segmentation using the level set and improved-variation smoothing

* Image Super-Resolution Using Deep Convolutional Networks

* Instance-Aware Semantic Segmentation via Multi-task Network Cascades

* Interior Point Method for Nonnegative Sparse Signal Reconstruction, An

* K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes

* Learning a Deep Convolutional Network for Image Super-Resolution

* Mask R-CNN

* MIHash: Online Hashing with Mutual Information

* Modeling Species Distribution Using Niche-Based Proxies Derived from Composite Bioclimatic Variables and MODIS-NDVI

* Parameterizing Object Detectors in the Continuous Pose Space

* Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)

* Product Sparse Coding

* Scale resilient, rotation invariant articulated object matching

* ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation

* Sensor Stability for SST (3S): Toward Improved Long-Term Characterization of AVHRR Thermal Bands

* Single-Image Shadow Removal Using 3D Intensity Surface Modeling

* Using Tucker Decomposition to Compress Color Images

* Video compressive sensing with on-chip programmable subsampling

* Wave Interferometry Applied to Borehole Radar: Virtual Multioffset Reflection Profiling

Includes: He, K. He, K.[Kaiming] He, K.[Kun] He, K.[Kebin] He, K.[Kuan] He, K.[Kai]

36 for He, K.

*He, K.M.[Kai Ming]*
**Co Author Listing** * Accelerating Very Deep Convolutional Networks for Classification and Detection

* Constant Time Weighted Median Filtering for Stereo Matching and Beyond

* Content-Aware Rotation

* Convolutional feature masking for joint object and stuff segmentation

* Convolutional neural networks at constrained time cost

* Deep Residual Learning for Image Recognition

* Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

* Efficient and accurate approximations of nonlinear convolutional networks

* Exploring the Limits of Weakly Supervised Pretraining

* Fast matting using large kernel matting Laplacian matrices

* Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

* Guided Image Filtering

* Identity Mappings in Deep Residual Networks

* Image Completion Approaches Using the Statistics of Similar Patches

* Instance-Sensitive Fully Convolutional Networks

* Is Faster R-CNN Doing Well for Pedestrian Detection?

* Joint Inverted Indexing

* Object Detection Networks on Convolutional Feature Maps

* Optimized Product Quantization

* Optimized Product Quantization for Approximate Nearest Neighbor Search

* Single Image Haze Removal Using Dark Channel Prior

* Sparse projections for high-dimensional binary codes

* Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

* Statistics of Patch Offsets for Image Completion

* Transitive Invariance for Self-Supervised Visual Representation Learning

Includes: He, K.M.[Kai Ming] He, K.M.[Kai-Ming]

25 for He, K.M.

*He, K.W.[Ke Wei]*
**Co Author Listing** * Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC

Includes: He, K.W.[Ke Wei] He, K.W.[Ke-Wei]

*He, K.Z.[Ke Zhong]*
**Co Author Listing** * Color Model based real-time Face Detection with AdaBoost in color image

Includes: He, K.Z.[Ke Zhong] He, K.Z.[Ke-Zhong]

Last update:12-Nov-18 11:59:10

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