LLVM-AD Workshop @ WACV 2024
The 1st WACV Workshop on Large Language and Vision Models for Autonomous Driving ( LLVM-AD) seeks to bring together academia and industry professionals in a collaborative exploration of applying large language and vision models to autonomous driving. Through a half-day in-person event, the workshop will showcase regular and demo paper presentations and invited talks from famous researchers in academia and industry. Additionally, LLVM-AD will launch two open-source real-world traffic language understanding datasets, catalyzing practical advancements. The workshop will host two challenges based on this dataset to assess the capabilities of language and computer vision models in addressing autonomous driving challenges.
Note for Benchmark: The workshop challenge will be maintained in the long term, and even after the workshop concludes, we will continue to welcome submissions of new results on the datasets. We will also update the benchmark accordingly.
Note for Submission: In light of the extension of final decision release for the WACV 2024 main conference, we decided to extend our submission deadline to October 26th, 2023.
Important Dates
- Paper Submission Deadline:
October 23rd, 2023October 26th, 2023 - Author Notification: November 13th, 2023
- Camera-ready Papers Deadline: November 19th, 2023
Invited Speakers
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| Dr. Zhen Li Assistant Professor, CUHK | Dr. Oleg Sinavski Principal Applied Scientist, Wayve |
Organizers
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| Chao Zheng Tencent | Kun Tang Tencent | Zhipeng Cao Tencent | Xu Cao PediaMed AI & UIUC | Yunsheng Ma Purdue University |
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| Can Cui Purdue University | Wenqian Ye PediaMed AI & UVA | Ziran Wang Purdue University | Shawn Mei Tencent | Tong Zhou Tencent |
Challenge Organization Committee
- Chao Zheng (Tencent)
- Kun Tang (Tencent)
- Zhipeng Cao (Tencent)
- Tong Zhou (Tencent)
- Erlong Li (Tencent)
- Ao Liu (Tencent)
- Shengtao Zou (Tencent)
- Xinrui Yan (Tencent)
- Shawn Mei (Tencent)
- Yunsheng Ma (Purdue University)
- Can Cui (Purdue University)
- Ziran Wang (Purdue University)
- Yang Zhou (New York University)
- Kaizhao Liang (SambaNova Systems)
- Wenqian Ye (PediaMed AI & University of Virginia)
- Xu Cao (PediaMed AI & University of Illinois Urbana-Champaign)
Program Committee
- Erlong Li (Tencent)
- Ao Liu (Tencent)
- Shengtao Zou (Tencent)
- Xinrui Yan (Tencent)
- Yang Zhou (New York University)
- Kaizhao Liang (SambaNova Systems)
- Tianren Gao (SambaNova Systems)
- Kuei-Da Liao (SambaNova Systems)
- Shan Bao (University of Michigan)
- Xuhui Kang (University of Virginia)
- Sean Sung-Wook Lee (University of Virginia)
- Amr Abdelraouf (Toyota Motor North America)
- Jianguo Cao (PediaMed AI)
- Jintai Chen (University of Illinois Urbana-Champaign)