Issued Patents 2019
Showing 26–50 of 66 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 10395392 | Learning method and learning device for strategic transforming RGB training image sets into non-RGB training image sets, to be used for learning object detection on objects of images in non-RGB format, by using cycle GAN, resulting in significantly reducing computational load and reusing data | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-27 |
| 10395140 | Learning method and learning device for object detector based on CNN using 1×1 convolution to be used for hardware optimization, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-27 |
| 10387752 | Learning method and learning device for object detector with hardware optimization based on CNN for detection at distance or military purpose using image concatenation, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-20 |
| 10387754 | Learning method and learning device for object detector based on CNN using 1×H convolution to be used for hardware optimization, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-20 |
| 10387753 | Learning method and learning device for convolutional neural network using 1×1 convolution for image recognition to be used for hardware optimization, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-20 |
| 10380724 | Learning method and learning device for reducing distortion occurred in warped image generated in process of stabilizing jittered image by using GAN to enhance fault tolerance and fluctuation robustness in extreme situations | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-13 |
| 10373317 | Learning method and learning device for attention-driven image segmentation by using at least one adaptive loss weight map to be used for updating HD maps required to satisfy level 4 of autonomous vehicles and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-06 |
| 10372573 | Method and device for generating test patterns and selecting optimized test patterns among the test patterns in order to verify integrity of convolution operations to enhance fault tolerance and fluctuation robustness in extreme situations | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-06 |
| 10373004 | Method and device for detecting lane elements to plan the drive path of autonomous vehicle by using a horizontal filter mask, wherein the lane elements are unit regions including pixels of lanes in an input image | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-06 |
| 10373023 | Learning method and learning device for runtime input transformation of real image on real world into virtual image on virtual world, to be used for object detection on real images, by using cycle GAN capable of being applied to domain adaptation | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-06 |
| 10373025 | Method and device for verifying integrity of parameters of CNN by using test pattern to enhance fault tolerance and fluctuation robustness in extreme situations for functional safety | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-06 |
| 10373026 | Learning method and learning device for generation of virtual feature maps whose characteristics are same as or similar to those of real feature maps by using GAN capable of being applied to domain adaptation to be used in virtual driving environments | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-06 |
| 10373027 | Method for acquiring sample images for inspecting label among auto-labeled images to be used for learning of neural network and sample image acquiring device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-06 |
| 10373323 | Method and device for merging object detection information detected by each of object detectors corresponding to each camera nearby for the purpose of collaborative driving by using V2X-enabled applications, sensor fusion via multiple vehicles | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-08-06 |
| 10346693 | Method and device for attention-based lane detection without post-processing by using lane mask and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-07-09 |
| 10339424 | Method and device of neural network operations using a grid generator for converting modes according to classes of areas to satisfy level 4 of autonomous vehicles | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-07-02 |
| 10339414 | Method and device for detecting face, and non-transitory computer-readable recording medium for executing the method | — | 2019-07-02 |
| 10325201 | Method and device for generating deceivable composite image by using GAN including generating neural network and discriminating neural network to allow surveillance system to recognize surroundings and detect rare event more accurately | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-06-18 |
| 10325185 | Method and device for online batch normalization, on-device learning, and continual learning applicable to mobile devices or IOT devices additionally referring to one or more previous batches to be used for military purpose, drone or robot, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-06-18 |
| 10325179 | Learning method and learning device for pooling ROI by using masking parameters to be used for mobile devices or compact networks via hardware optimization, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-06-18 |
| 10325371 | Method and device for segmenting image to be used for surveillance using weighted convolution filters for respective grid cells by converting modes according to classes of areas to satisfy level 4 of autonomous vehicle, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-06-18 |
| 10325352 | Method and device for transforming CNN layers to optimize CNN parameter quantization to be used for mobile devices or compact networks with high precision via hardware optimization | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-06-18 |
| 10318842 | Learning method, learning device for optimizing parameters of CNN by using multiple video frames and testing method, testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-06-11 |
| 10311324 | Learning method, learning device for detecting objectness by detecting bottom lines and top lines of nearest obstacles and testing method, testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-06-04 |
| 10311578 | Learning method and learning device for segmenting an image having one or more lanes by using embedding loss to support collaboration with HD maps required to satisfy level 4 of autonomous vehicles and softmax loss, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-06-04 |