Yiye Chen

I am a Georgia Tech ECE Ph.D student under the supervision of the Prof. Patricio Vela. I am a member of the Vision-based Manipulation group (VisMan) in the IVALab. My research interest covers computer vision, machine learning, and their applications in the robotic manipulation.

Prior to that, I obtained my B.Eng from the Image Processing Center, Beihang University (BUAA). I did my undergrad thesis under the supervision of Prof. Xiangzhi Bai and Prof. Bindang Xue. In summer 2023, I was an applied scientist intern in Amazon Robotic in the stow perception team.

Email / Google Scholar / LinkedIn / Github

News

[July. 2023] One accepted ICCV 2023 paper on WDiscOOD, an Out-of-Distribution Detection method based on Linear Discriminant Analysis
[Jun. 2023] One accepted IROS 2023 paper on Keypoint-GraspNet v2.0
[May. 2023] Excited to join the stow perception team in Amazon Robotics as an applied scientist intern
[Jan. 2023] One accepted ICLR 2023 paper on LEAP, a planning method based on sequence model
[Jan. 2023] One accepted ICRA 2023 paper on Keypoint-based 6-DoF grasp detection (Keypoint-GraspNet)
[Jan. 2021] Two accepted ICRA 2021 papers on grasp detection following natural language commands and semantic camera relocalization

Research (* means equal contribution)

	WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio A. Vela International Conference on Computer Vision (ICCV) , 2023 paper / Code
	KGNv2: Separating Scale and Pose Prediction for Keypoint-based 6-DoF Grasp Synthesis on RGB-D input Yiye Chen, Ruinian Xu, Yunzhi Lin, Hongyi Chen, Patricio A. Vela International Conference on Intelligent Robots and Systems (IROS)*, 2023 paper / video / code
	Planning with Language Models through Iterative Energy Minimization Hongyi Chen, Yilun Du, Yiye Chen, Patricio A. Vela Joshua B. Tenenbaum International Conference on Learning Representations (ICLR)*, 2023 paper / project / code
	Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio A. Vela IEEE International Conference on Robotics and Automation (ICRA), 2023 paper / video / code A 6-DoF grasp deteciton approach based on RGB-D input.
	A Joint Network for Grasp Detection Conditioned on Natural Language Commands Yiye Chen, Ruinian Xu, Yunzhi Lin, Patricio A. Vela IEEE International Conference on Robotics and Automation (ICRA), 2021 paper / video An end-to-end network that detects grasps affilicated to the target required by a natural language command.
	Simultaneous Multi-Level Descriptor Learning and Semantic Segmentation for Domain-Specific Relocalization Xiaolong Wu, Yiye Chen, Cédric Pradalier, Patricio A. Vela IEEE International Conference on Robotics and Automation (ICRA), 2021 paper A dense multi-level descriptor learning framework for cross-season localization. We designed a descriptor segmentation module to inject high-level information into the descriptor space from the guidance of semantic labels

Academic Service

Conference Reviewer: IROS2023, NeurIPS2023, ICRA2024, CVPR2024
Journal/Letter Reviewer: RA-L, IJRR