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cs.CV2025
DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving
Liuhan Yin, Runkun Ju, Guodong Guo +1
Unlike discriminative approaches in autonomous driving that predict a fixed set of candidate trajectories of the ego vehicle, generative methods, such as diffusion models, learn th…
cs.CV2025
REF-VLM: Triplet-Based Referring Paradigm for Unified Visual Decoding
Yan Tai, Luhao Zhu, Yunan Ding +4
Multimodal Large Language Models (MLLMs) demonstrate robust zero-shot capabilities across diverse vision-language tasks after training on mega-scale datasets. However, dense predic…