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index.json
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[
{
"authors":["admin"],
"categories":null,
"content":"NOTE: 中文（简体）网站请点击右上角球形图案\nI am currently pursuing a Master's degree at China University of Mining and Technology (Intelligent Robotics and Sense Integration Lab) , guided by Prof. He Sheng Wang and Prof. Yanzi Miao.\nMy research interest focuses on 3D deep learning on point cloud and its applications on autonomous driving. Specific directions include various deep learning algorithms such as scene flow/optical flow estimation, depth estimation, 3D object detection, and LiDAR odometry estimation.\n",
"date":-62135596800,
"expirydate":-62135596800,
"kind":"taxonomy",
"lang":"en",
"lastmod":-62135596800,
"objectID":"2525497d367e79493fd32b198b28f040",
"permalink":"https://guohekui.github.io/en/author/hekui-guo/",
"publishdate":"0001-01-01T00:00:00Z",
"relpermalink":"/en/author/hekui-guo/",
"section":"authors",
"summary":"NOTE: 中文（简体）网站请点击右上角球形图案",
"tags":null,
"title":"Hekui Guo",
"type":"authors"
},
{
"authors":["Guangming Wang","Chaokang Jiang","Zehang Shen","Zehang Shen","Hesheng Wang"],
"categories":[],
"content":"",
"date":1636761600,
"expirydate":-62135596800,
"kind":"page",
"lang":"en",
"lastmod":1636761600,
"objectID":"721dc774ea3742ddc72a5fe102de9996",
"permalink":"https://jiangchaokang.github.io/en/publication/SFGAN-Unsupervised-Generative-Adversarial-Learning-of-3D-Scene-Flow-from-the-3D-Scene-Self/",
"publishdate":"2021-11-13T00:06:37+08:00",
"relpermalink":"/en/publication/SFGAN-Unsupervised-Generative-Adversarial-Learning-of-3D-Scene-Flow-from-the-3D-Scene-Self/",
"section":"publication",
"summary":"Advanced Intelligent Systems",
"tags":[],
"title":"SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self",
"type":"publication"
},
{
"authors":null,
"categories":null,
"content":"",
"date":1536969600,
"expirydate":-62135596800,
"kind":"page",
"lang":"en",
"lastmod":1536969600,
"objectID":"0342e81c2a8a107642ff548bb352e16a",
"permalink":"https://jiangchaokang.github.io/en/project/restaurant_robot/",
"publishdate":"2018-09-15T00:00:00Z",
"relpermalink":"/en/project/restaurant_robot/",
"section":"project",
"summary":"2018-06-01 ~ 2018-07-30 Serve as the leader of the course project.",
"tags":["autonomous driving"],
"title":"Restaurant Robot",
"type":"project"
},
{
"authors":null,
"categories":null,
"content":"\r[2021.11] One paper accepted to Advanced Intelligent Systems.\n[2021.02] One paper accepted to CVPR 2021 Oral.\n[2021.02] One paper accepted to IEEE Robotics and Automation Letters with joint ICRA 2021 option.\n[2020.09] Our method RangeRCNN ranked 2nd on the KITTI 3D Car detection benchmark among all methods with papers.\n[2020.07] Our method HRI-MSP-L ranked 1st on the KITTI cyclist detection benchmark for all four tasks (2D, 3D, BEV, Orientation).\n[2020.06] One paper accepted to IEEE Robotics and Automation Letters with joint IROS 2020 option.\n[2020.01] One paper accepted to Tsinghua Science and Technology.\n[2019.02] Our method SALoss ranked first on the ScanNet benchmark (3D instance segmentation).\n[2019.01] One paper accepted to ICRA 2019.\n[2018.09] Our method HDGCN ranked first on the Paris-Lille-3D benchmark (3D semantic segmentation).\n","date":1512057600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1512057600,"objectID":"a0812ae5f3c926fea6faf4472cefc8e2","permalink":"https://jiangchaokang.github.io/en/news/","publishdate":"2017-12-01T00:00:00+08:00","relpermalink":"/en/news/","section":"","summary":"\r\nList of news.\r\n","tags":[],"title":"News","type":"page"},{"authors":null,"categories":null,"content":" Responsible for the system integration including lane detection, LIDAR detection, traffic light detection, and vehicle localization modules and so on. Determine the function requirement and design the API of these modules with corresponding researchers together. Responsible for the decision, planning and control modules of the self-driving car. Responsible for the simulation test in ROS and the validation in the real car. Participate in the 2017 Intelligent Vehicle Future Challenge. ","date":1512000000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1512000000,"objectID":"8f66d660a9a2edc2d08e68cc30f701f7","permalink":"https://jiangchaokang.github.io/en/project/internal-project/","publishdate":"2017-11-30T00:00:00Z","relpermalink":"/en/project/internal-project/","section":"project","summary":"2016-11-30 ~ 2017-11-30 Responsible for developing L4 self-driving car","tags":["autonomous driving"],"title":"Develop L4 self-driving car","type":"project"},{"authors":null,"categories":null,"content":"","date":1585526400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1585526400,"objectID":"7c3163b545b03edc775ba7d51f432a77","permalink":"https://jiangchaokang.github.io/en/project/semantic_point_cloud/","publishdate":"2020-03-30T00:00:00Z","relpermalink":"/en/project/semantic_point_cloud/","section":"project","summary":"2018-01-01 ~ 2020-03-30 Serve as the manager of the project \"Semantic Point Cloud based Intelligent Vehicle Perception and Localization","tags":["autonomous driving"],"title":"Semantic Point Cloud based Intelligent Vehicle Perception and Localization","type":"project"},{"authors":["zhidong liang","ming yang","liuyuan deng","chunxiang wang","bing wang"],"categories":[],"content":"","date":1566345600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1566345600,"objectID":"287cd0804e67032574fab7152174f43d","permalink":"https://jiangchaokang.github.io/en/publication/hierarchical-depthwise-graph-convolutional-neural-network-for-3d-semantic-segmentation-of-point-clouds/","publishdate":"2020-08-13T00:06:37+08:00","relpermalink":"/en/publication/hierarchical-depthwise-graph-convolutional-neural-network-for-3d-semantic-segmentation-of-point-clouds/","section":"publication","summary":"2019 International Conference on Robotics and Automation (ICRA 2019)","tags":[],"title":"Hierarchical Depthwise Graph Convolutional Neural Network for 3D Semantic Segmentation of Point Clouds","type":"publication"},{"authors":["liuyuan deng","ming yang","zhidong liang","yuesheng he","chunxiang wang"],"categories":[],"content":"","date":1566259200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1566259200,"objectID":"16d8ee856af41c290f0e26a9a0761fdd","permalink":"https://jiangchaokang.github.io/en/publication/fusing-geometrical-and-visual-information-via-superpoints-for-the-semantic-segmentation-of-3d-road-scenes/","publishdate":"2020-08-12T00:08:39+08:00","relpermalink":"/en/publication/fusing-geometrical-and-visual-information-via-superpoints-for-the-semantic-segmentation-of-3d-road-scenes/","section":"publication","summary":"Tsinghua Science and Technology","tags":[],"title":"Fusing Geometrical and Visual Information via Superpoints for the Semantic Segmentation of 3D Road Scenes","type":"publication"},{"authors":null,"categories":null,"content":"","date":1536969600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1536969600,"objectID":"0342e81c2a8a107642ff548bb352e16a","permalink":"https://jiangchaokang.github.io/en/project/restaurant_robot/","publishdate":"2018-09-15T00:00:00Z","relpermalink":"/en/project/restaurant_robot/","section":"project","summary":"2018-06-01 ~ 2018-07-30 Serve as the leader of the course project.","tags":["autonomous driving"],"title":"Restaurant Robot","type":"project"},{"authors":null,"categories":null,"content":"\r[2021.11] One paper accepted to IEEE Sensors Journal.\n[2021.02] One paper accepted to CVPR 2021 Oral.\n[2021.02] One paper accepted to IEEE Robotics and Automation Letters with joint ICRA 2021 option.\n[2020.09] Our method RangeRCNN ranked 2nd on the KITTI 3D Car detection benchmark among all methods with papers.\n[2020.07] Our method HRI-MSP-L ranked 1st on the KITTI cyclist detection benchmark for all four tasks (2D, 3D, BEV, Orientation).\n[2020.06] One paper accepted to IEEE Robotics and Automation Letters with joint IROS 2020 option.\n[2020.01] One paper accepted to Tsinghua Science and Technology.\n[2019.02] Our method SALoss ranked first on the ScanNet benchmark (3D instance segmentation).\n[2019.01] One paper accepted to ICRA 2019.\n[2018.09] Our method HDGCN ranked first on the Paris-Lille-3D benchmark (3D semantic segmentation).\n","date":1512057600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1512057600,"objectID":"a0812ae5f3c926fea6faf4472cefc8e2","permalink":"https://jiangchaokang.github.io/en/news/","publishdate":"2017-12-01T00:00:00+08:00","relpermalink":"/en/news/","section":"","summary":"\r\nList of news.\r\n","tags":[],"title":"News","type":"page"},{"authors":null,"categories":null,"content":" Responsible for the system integration including lane detection, LIDAR detection, traffic light detection, and vehicle localization modules and so on. Determine the function requirement and design the API of these modules with corresponding researchers together. Responsible for the decision, planning and control modules of the self-driving car. Responsible for the simulation test in ROS and the validation in the real car. Participate in the 2017 Intelligent Vehicle Future Challenge. ","date":1512000000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1512000000,"objectID":"8f66d660a9a2edc2d08e68cc30f701f7","permalink":"https://jiangchaokang.github.io/en/project/internal-project/","publishdate":"2017-11-30T00:00:00Z","relpermalink":"/en/project/internal-project/","section":"project","summary":"2016-11-30 ~ 2017-11-30 Responsible for developing L4 self-driving car","tags":["autonomous driving"],"title":"Develop L4 self-driving car","type":"project"}]