most citedOverview and Comparison of AVS Point Cloud Compression Standard

22 citations · 22 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

AUGUstus: Autonomous Driving VLA Model with Unified Generation and Understanding

Yuqi Ye, Caigao Jiang, Zhuonan Wang +12

Vision-language-action (VLA) models show strong potential for end-to-end autonomous driving by leveraging world knowledge and understanding to excel in long-tail scenarios. However…

cs.RO2026

Sometimes You Gotta Run Before You Can Walk: Run-then-Walk Scheduling Strategy for VLM Autonomous Driving

Yuqi Ye, Shangkun Sun, Junhong Lin +6

Recent VLM-based autonomous driving planners adopt GRPO-style reinforcement learning to optimize driving performance. However, existing GRPO recipes either optimize driving efficie…

cs.RO2026

: Unified Chain of Perception-Prediction-Planning Thought via Reinforcement Fine-Tuning

Yuqi Ye, Zijian Zhang, Junhong Lin +3

Vision-language models (VLMs) are increasingly being adopted for end-to-end autonomous driving systems due to their exceptional performance in handling long-tail scenarios. However…

cs.CV2026★ 22 cited

Overview and Comparison of AVS Point Cloud Compression Standard

Wei Gao, Wenxu Gao, Xingming Mu +2

Point cloud is a prevalent 3D data representation format with significant application values in immersive media, autonomous driving, digital heritage protection, etc. However, the…

cs.CV2025

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals

Changhao Peng, Yuqi Ye, Wei Gao

Gaussian and Laplacian entropy models are proved effective in learned point cloud attribute compression, as they assist in arithmetic coding of latents. However, we demonstrate thr…