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20232026
most citedBoosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel Prior

14 citations · 15 across the 10 of their papers we have counts for

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cs.CV2026

MVPruner: Dynamic Token Pruning for Accelerating Multi-view Vision-Language Models in Autonomous Driving

Nan Yang, Zhanwen Liu, Linfeng Zhang +4

Vision-Language Models (VLMs) improve generalization and interpretability in autonomous driving but suffer from efficiency issues due to long visual token sequences, particularly i…