diff --git a/_pages/Schedule_WACV_2026.md b/_pages/Schedule_WACV_2026.md index 891ed15..b9ad68d 100644 --- a/_pages/Schedule_WACV_2026.md +++ b/_pages/Schedule_WACV_2026.md @@ -13,17 +13,17 @@ nav_order: 4 | --- | --- | | **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* | +| **13:40-13:50** | **Paper 5:** *Lightweight Multi-Scale Fusion for Real-Time Autonomous Driving Segmentation*
*(Remote)* | | **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* | +| **14:00-14:10** | **Paper 8:** *Efficient Visual Question Answering Pipeline for Autonomous Driving via Scene Region Compression*
*(Remote)* | | **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** | +| **15:20-15:30** | **Paper 12:** *Less Is More: Agentic Prompt Design for Safe VLM Action Selection*
*(Remote)* | +| **15:30-15:40** | **Paper 13:** *Trust-Guided Multimodal LLM Integration with Reinforcement Learning for Autonomous Driving*
*(Remote)* | +| **15:40-16:10** | **Keynote: Towards robust and efficient VLA for end-to-end autonomous driving**
**Litian Liu**
*(Remote)* | | **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* | +| **16:20-16:30** | **Paper 18:** *2COOOL: An Evaluation Benchmark for Generating Incident Reports on Out-of-Distribution Hazards in Autonomous Driving*
*(Remote)* | +| **16:30-16:40** | **Paper 21:** *GATEPose: A Graph Attention Transformer Enhanced with Pose and Orientation Angles for Pedestrian Crossing Intention Prediction*
*(Remote)* | | **16:40-17:00** | **Summary & Closing Remarks** | \ No newline at end of file