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** |
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