May 30th, 2023 
Daniela Lopez de Luise 3D–DLAD–v5 (5th 3D Deep Learning for Autonomous Driving) workshop is the 8th workshop organized as part of DLAD workshop series.
It is organized as a part of the flagship automotive conference Intelligent Vehicles 2023 https://2023.ieee-iv.org/.
Workshop website :
Speaker List for the workshop:
- Marco Pavone Associate Professor Stanford University
- Xinggang Wang Professor Huazhong University of Science and Technology
- Songyou Peng PhD student ETH Zurich and Max Planck Institute for Intelligent
- Lingdong Kong Ph.D. Student, National University of Singapore
- Adam Tonderski Ph.D. Student, Lund University & Zenseact
- Brady Zhou PhD student at UT Austin
- Alexander Swerdlow PhD Student ULCA (To Be Confirmed)
- Adam Harley is a postdoctoral scholar at Stanford University
- Dimitris N. Metaxas Distinguished Prof. Of CS Rutgers University
- Yuxiong WANG Assistant Professor Department of Computer Science, University of Illinois at Urbana-Champaign
Accepted paper list:
- Vision-RADAR fusion for Robotics BEV Detections: A Survey Apoorv Singh
- DeepSTEP – Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles Sebastian Huch, Florian Sauerbeck and Johannes Betz.
The program and instructions for how to attend the 3D–DLAD-v5 workshop online, meeting link that shall be updated here.
If you are attending onsite at Anchorage, Alaska please look at IV 2023 workshop website to find the room number.
Organizers 3D-DLAD-v5
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