Schedule

LLVM-AD @ WACV 2026

Time Schedule
13:00-13:10 Opening Remarks
13:10-13:40 Keynote Presentation
Lars Hammarstrand
13:40-13:50 Paper 5: Lightweight Multi-Scale Fusion for Real-Time Autonomous Driving Segmentation
13:50-14:00 Paper 7: FROST-Drive: Scalable and Efficient End-to-End Driving with a Frozen Vision Encoder
14:00-14:10 Paper 8: Efficient Visual Question Answering Pipeline for Autonomous Driving via Scene Region Compression
14:10-14:20 Paper 10: Benchmarking Vision-Language Models for Traffic Scene Understanding in Inclement Winter Weather: The AWDB Benchmark
14:20-14:30 Paper 11: Role of Language-Guidance in Knowledge Distillation for Semantic Segmentation Under Limited Field-Of-View Autonomous Driving
14:30-15:00 Keynote Presentation
Tong Shen
15:00-15:20 Coffee Break
15:20-15:30 Paper 12: Less Is More: Agentic Prompt Design for Safe VLM Action Selection
15:30-15:40 Paper 13: Trust-Guided Multimodal LLM Integration with Reinforcement Learning for Autonomous Driving
15:40-16:10 Keynote: Towards robust and efficient VLA for end-to-end autonomous driving
Litian Liu
16:10-16:20 Paper 14: VLA4CoDrive: Vision–Language–Action Dataset for Cooperative Autonomous Driving
16:20-16:30 Paper 18: 2COOOL: An Evaluation Benchmark for Generating Incident Reports on Out-of-Distribution Hazards in Autonomous Driving
16:30-16:40 Paper 21: GATEPose: A Graph Attention Transformer Enhanced with Pose and Orientation Angles for Pedestrian Crossing Intention Prediction
16:40-17:00 Summary & Closing Remarks