3 papers
cs.RO2026
PRISM: Privileged Probabilistic Latent Supervision for End-to-End Autonomous Driving Motion Planning
Volodymyr Havrylov, Faris Janjoš, Andreas Look +2
End-to-end autonomous driving (E2E AD) systems integrate perception, prediction, and planning into a single differentiable architecture. While these models show great promise, thei…
cs.CV2025
Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation
Volodymyr Havrylov, Haiwen Huang, Dan Zhang +1
Vision Foundation Models (VFMs) are large-scale, pre-trained models that serve as general-purpose backbones for various computer vision tasks. As VFMs' popularity grows, there is a…
cs.CV2025
LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models
Haiwen Huang, Anpei Chen, Volodymyr Havrylov +2
Vision foundation models (VFMs) such as DINOv2 and CLIP have achieved impressive results on various downstream tasks, but their limited feature resolution hampers performance in ap…