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Di Feng
Di Feng
Senior Research Scientist, Apple Inc.
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
D Feng, C Haase-Schuetz, L Rosenbaum, H Hertlein, C Glaeser, F Timm, ...
IEEE Transactions on Intelligent Transportation Systems, 2019
10792019
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection
D Feng, L Rosenbaum, K Dietmayer
The 21st IEEE International Conference on Intelligent Transportation Systems, 2018
2832018
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
D Feng, A Harakeh, S Waslander, K Dietmayer
IEEE Transactions on Intelligent Transportation Systems, 2020
2122020
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
D Feng, X Wei, L Rosenbaum, A Maki, K Dietmayer
The 30th IEEE Intelligent Vehicles Symposium, 2019
892019
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection
D Feng, L Rosenbaum, F Timm, K Dietmayer
The 30th IEEE Intelligent Vehicles Symposium, 2018
782018
Tactile-based Active Object Discrimination and Target Object Search in an Unknown Workspace
K Mohsen, K Yao, D Feng, G Cheng
Autonomous Robot, 2018
72*2018
A tactile-based framework for active object learning and discrimination using multimodal robotic skin
M Kaboli, D Feng, K Yao, P Lanillos, G Cheng
IEEE Robotics and Automation Letters 2 (4), 2143-2150, 2017
672017
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving
D Feng, L Rosenbaum, C Glaeser, F Timm, K Dietmayer
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2019
442019
Active Tactile Transfer Learning for Object Discrimination in an Unstructured Environment using Multimodal Robotic Skin
F Di, K Mohsen, C Gordon
International Journal of Humanoid Robotics, 2017
42*2017
Inferring Spatial Uncertainty in Object Detection
Z Wang*, D Feng*, Y Zhou, W Zhan, L Rosenbaum, F Timm, M Tomizuka
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
322020
Active Prior Tactile Knowledge Transfer for Learning Tactual Properties of New Objects
D Feng, M Kaboli, G Cheng
Sensors, 2018
322018
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving
D Feng, C Yifan, L Rosenbaum, F Timm, K Dietmayer
The 31st IEEE Intelligent Vehicles Symposium (IV), 2020
302020
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars
F Drews, D Feng, F Faion, L Rosenbaum, M Ulrich, C Gläser
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
212022
A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding
D Feng, Y Zhou, C Xu, M Tomizuka, W Zhan
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
202021
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection
D Feng*, Z Wang*, Y Zhou, W Zhan, L Rosenbaum, F Timm, M Tomizuka
IEEE Transactions on Intelligent Transportation Systems, 2020
202020
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
D Feng, L Rosenbaum, F Timm, K Dietmayer
European Conference on Computer Vision (ECCV) Workshop, 2020
72020
Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors
D Feng, F Francesco
The 34th IEEE Intelligent Vehicles Symposium (IV), 2023
22023
Understanding the Domain Gap in LiDAR Object Detection Networks
J Richter, F Faion, D Feng, PB Becker, P Sielecki, C Glaeser
arXiv preprint arXiv:2204.10024, 2022
22022
Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving
T Michalke, D Feng, C Gläser, F Timm
The 24st IEEE International Conference on Intelligent Transportation Systems, 2021
12021
LCA-on-the-Line: Benchmarking Out of Distribution Generalisation with Class Taxonomies
S Jia, G Gautam, J Tian, S Chai, Z Liu, A Vasudevan, D Feng, F Ferroni, ...
Workshop on Distribution Shifts, 37th Conference on Neural Information …, 2023
2023
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