SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images Paper • 2403.10662 • Published Mar 15, 2024 • 1
Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models Paper • 2608.18484 • Published 9 days ago • 9
Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models Paper • 2608.18484 • Published 9 days ago • 9 • 4
Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models Paper • 2608.18484 • Published 9 days ago • 9 • 4
Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models Paper • 2608.18484 • Published 9 days ago • 9
From Numbers to Judgment: Specialist LLM Agents and Reinforcement Learning for European Listed Real Estate Paper • 2608.11381 • Published 17 days ago • 2
Training a Student Expert via Semi-Supervised Foundation Model Distillation Paper • 2604.03841 • Published Apr 4 • 11
The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamics Paper • 2603.14375 • Published Mar 15 • 20
NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving Paper • 2603.07901 • Published Mar 9 • 5
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation Paper • 2505.21904 • Published May 28, 2025 • 3
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images Paper • 2403.10662 • Published Mar 15, 2024 • 1
From Numbers to Judgment: Specialist LLM Agents and Reinforcement Learning for European Listed Real Estate Paper • 2608.11381 • Published 17 days ago • 2
Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models Paper • 2507.13162 • Published Jul 17, 2025 • 19
PhysVid: Physics Aware Local Conditioning for Generative Video Models Paper • 2603.26285 • Published Mar 27 • 1
Training a Student Expert via Semi-Supervised Foundation Model Distillation Paper • 2604.03841 • Published Apr 4 • 11
Training a Student Expert via Semi-Supervised Foundation Model Distillation Paper • 2604.03841 • Published Apr 4 • 11