Reference Summary: Authors: Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, Ruigang Yang Description: Currently, ... Part of the ECE 542 Virtual Symposium (Spring 2020) This project will focus on using machine learning to perform

Joint 3d Instance Segmentation And Object Detection For Autonomous Driving -

Authors: Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, Ruigang Yang Description: Currently, ... Part of the ECE 542 Virtual Symposium (Spring 2020) This project will focus on using machine learning to perform Deep learning techniques have become the to-go models for most vision-related tasks on 2D images.

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  • Authors: Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, Ruigang Yang Description: Currently, ...
  • Part of the ECE 542 Virtual Symposium (Spring 2020) This project will focus on using machine learning to perform
  • Deep learning techniques have become the to-go models for most vision-related tasks on 2D images.
  • Authors: Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia Description:
  • Xiaozhi Chen; Huimin Ma; Ji Wan; Bo Li; Tian Xia This paper aims at high-accuracy

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Joint 3D Instance Segmentation and Object Detection for Autonomous Driving

Joint 3D Instance Segmentation and Object Detection for Autonomous Driving

Authors: Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, Ruigang Yang Description: Currently, ...

Real-Time Instance Segmentation for Autonomous Driving Decision-Making​

Real-Time Instance Segmentation for Autonomous Driving Decision-Making​

Part of the ECE 542 Virtual Symposium (Spring 2020) This project will focus on using machine learning to perform

HOS 1.0  drivable area segmentation and object detection

HOS 1.0 drivable area segmentation and object detection

Read more details and related context about HOS 1.0 drivable area segmentation and object detection.

Multi-View 3D Object Detection Network for Autonomous Driving | Spotlight 4-2B

Multi-View 3D Object Detection Network for Autonomous Driving | Spotlight 4-2B

Xiaozhi Chen; Huimin Ma; Ji Wan; Bo Li; Tian Xia This paper aims at high-accuracy

Adrian Chow "Open-Vocabulary 3D Object Detection for Autonomous Driving"

Adrian Chow "Open-Vocabulary 3D Object Detection for Autonomous Driving"

Read more details and related context about Adrian Chow "Open-Vocabulary 3D Object Detection for Autonomous Driving".

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

Authors: Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia Description:

Efficient 3D Perception for Autonomous Vehicles (Zhijian Liu @ CVPR 2023 ECV)

Efficient 3D Perception for Autonomous Vehicles (Zhijian Liu @ CVPR 2023 ECV)

Read more details and related context about Efficient 3D Perception for Autonomous Vehicles (Zhijian Liu @ CVPR 2023 ECV).

CVPR2020 Scalability in Autonomous Driving: Geometry-Aware Instance Segmentation with Disparity Maps

CVPR2020 Scalability in Autonomous Driving: Geometry-Aware Instance Segmentation with Disparity Maps

Read more details and related context about CVPR2020 Scalability in Autonomous Driving: Geometry-Aware Instance Segmentation with Disparity Maps.

CVPR 2019 Oral - JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

CVPR 2019 Oral - JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Deep learning techniques have become the to-go models for most vision-related tasks on 2D images. However, their power has ...

Nuri Benbarka: Instance Segmentation and 3D Multi-Object Tracking for Autonomous Driving

Nuri Benbarka: Instance Segmentation and 3D Multi-Object Tracking for Autonomous Driving

The talk given by Nuri Benbarka at KUIS AI Talks on Apr 19 in 2022. Abstract: