(1/5)
3D Scene Understanding
Geometric and semantic scene representations from omnidirectional observations, including 3D occupancy prediction and BEV semantic mapping.
Research in computer vision & robotics
Fei Teng 滕飞
Ph.D. Candidate Hunan University
Omnidirectional Scene Understanding
& Controllable Generation
To address perception bottlenecks faced by robots and autonomous vehicles in complex real-world environments, my research centers on fine-grained visual modeling and understanding of the physical world. I investigate physically grounded geometric and semantic scene representations, as well as controllable generative modeling and learning from synthetic data, with an emphasis on omnidirectional observations.
Research Focus
3D + Visual connected with Generation & Learning
First- or co-first-authored / total
(4/4)
Controllable Generation & Synthetic Data Learning
Scene- and motion-conditioned image and video generation, alongside effective learning from synthetic data.
(4/10)
Visual Understanding & Reasoning
Fine-grained visual understanding across images and videos, spanning scene parsing, object tracking, and multimodal reasoning.
Omnidirectional Sensing Platforms
Custom-integrated sensing systems for real-world data collection and perception benchmarking.
A vehicle-mounted system integrating spherical imaging and LiDAR, built to support the Spheriverse dataset and its 3D perception benchmarks.
Video unavailable. Open MP4
A quadruped-mounted system integrating panoramic RGB, thermal, polarization, and LiDAR sensing for the PanoMMOcc dataset and multimodal occupancy benchmark.
Video unavailable. Open MP4
Representative Works
All publicationsPublications & papers under review
Research Archive 19
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In Preparation
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A little background
Education & Research
I am a Ph.D. candidate at Hunan University, advised by Prof. Kailun Yang. I received my M.Eng. from the Karlsruhe Institute of Technology (KIT) and my B.Eng. from China University of Mining and Technology in Xuzhou.
Contact
Let's connect.
Research conversations and collaborations are welcome.