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cs.CV2026
GLaQ: Grounding Latent Queries in Visual Evidence for Multimodal Reasoning
Zesheng Yang, Lingling Zhang, Xinyu Zhang +4
Chain-of-thought reasoning has substantially improved the problem-solving capabilities of multimodal large language models. Fine-grained visual evidence, however, remains difficult…
cs.CV2026
Visual-OPSD: Cross-Modal On-Policy Self-Distillation for Efficient Unified Multimodal Reasoning
Pengyu Li, Zhitao Gao, Lingling Zhang +5
Unified multimodal models (UMMs) interleave generated ''visual thoughts'' (VTs) with text reasoning to improve spatial tasks. This incurs roughly an order-of-magnitude inference co…
cs.CV2024
EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection
Pengyu Li, Chenhe Liu, Tengfei Li +3
The detection of small objects, particularly traffic signs, is a critical subtask within object detection and autonomous driving. Despite the notable achievements in previous resea…