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Di Feng

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FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View

Mar 05, 2024
Jiawei Hou, Xiaoyan Li, Wenhao Guan, Gang Zhang, Di Feng, Yuheng Du, Xiangyang Xue, Jian Pu

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Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving

Oct 13, 2023
Feng Jiang, Chaoping Tu, Gang Zhang, Jun Li, Hanqing Huang, Junyu Lin, Di Feng, Jian Pu

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Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors

Jan 31, 2023
Di Feng, Francesco Ferroni

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DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars

Sep 27, 2022
Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser

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Understanding the Domain Gap in LiDAR Object Detection Networks

Apr 21, 2022
Jasmine Richter, Florian Faion, Di Feng, Paul Benedikt Becker, Piotr Sielecki, Claudius Glaeser

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A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding

Mar 06, 2021
Di Feng, Yiyang Zhou, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan

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Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection

Dec 18, 2020
Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan

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A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

Nov 20, 2020
Di Feng, Ali Harakeh, Steven Waslander, Klaus Dietmayer

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Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty

Aug 10, 2020
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer

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Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving

Apr 16, 2020
Thomas Michalke, Colin Wüst, Di Feng, Claudius Gläser, Maxim Dolgov, Fabian Timm

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