Xiaolin Zhang
ShanghaiTech University, China Jiliang University, Tokyo Institute of Technology, Shanghai Institute of Microsystem and Information Technology, Shanghai Eye Disease Prevention & Treatment Center, State Key Laboratory of Transducer Technology, University of Science and Technology of China
Papers
12
Total Citations
179
H-Index
7
About
Xiaolin Zhang is a robotics and computer vision researcher whose work spans semantic understanding, 3D mapping, visual perception, and bionic robotic systems. With a career bridging foundational hardware design and cutting-edge deep learning, Zhang has made substantial contributions to how intelligent robots perceive and interpret their environments. Zhang's most impactful contribution is a semantic mapping methodology for RGB-D scans, which introduced label-oriented voxelgrid fusion to produce accurate 3D semantic maps — earning 67 citations and establishing Zhang as a recognized voice in scene understanding for task-driven robotics. Complementing this, work on dual-pyramid semantic segmentation networks and multilevel cross-aware RGB-D indoor segmentation (22 and 13 citations, respectively) reflects a sustained commitment to advancing scene comprehension for autonomous systems including drones and mobile robots. Earlier work on active binocular vision systems (19 citations) and robust stereo visual odometry (18 citations) demonstrates Zhang's long-standing interest in human-inspired robotic perception and reliable localization. More recent research into category-level 6D object pose estimation, 3D hand pose estimation via transformer models, and panoptic segmentation signals a natural evolution toward holistic robotic perception. Zhang's breadth — from mechanical eye design to neural network architectures — makes this body of work particularly valuable for researchers building intelligent, perception-capable robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3An active binocular integrated system for intelligent robot vision19 citations · 2012
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- 5Dynamic Obstacles Rejection for 3D Map Simultaneous Updating14 citations · 2018
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