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cs.CV2026
SeGPruner: Semantic-Geometric Visual Token Pruner for 3D Question Answering
Wenli Li, Kai Zhao, Haoran Jiang +3
Vision-language models (VLMs) have been widely adopted for 3D question answering (3D QA). In typical pipelines, visual tokens extracted from multiple viewpoints are concatenated wi…
cs.CV2026
Heuristic Self-Paced Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
Shiqin Wang, Haoyang Chen, Huaizhou Huang +6
The learning order of semantic classes significantly impacts unsupervised domain adaptation for semantic segmentation, especially under adverse weather conditions. Most existing cu…
cs.CV2026
InstanceRSR: Real-World Super-Resolution via Instance-Aware Representation Alignment
Zixin Guo, Kai Zhao, Luyan Zhang
Existing real-world super-resolution (RSR) methods based on generative priors have achieved remarkable progress in producing high-quality and globally consistent reconstructions. H…