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20242026
most citedU3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation

3 citations · 6 across the 17 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation

Bingyu Li, Da Zhang, Tao Huo +3

Large Vision-Language Models (LVLMs) have shown strong visual understanding and language-guided grounding abilities, yet their capacity for multi-temporal visual reasoning remains…

cs.LG2026

MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification

Da Zhang, Bingyu Li, Zhiyuan Zhao +3

Medical time series are central to healthcare, enabling continuous monitoring and supporting timely clinical decisions. Despite recent progress, existing methods struggle to jointl…

cs.CV2026

Perturbation-Regularized Open-Vocabulary Remote Sensing Segmentation with Unified Multi-Domain Evaluation

Bingyu Li, Tao Huo, Haocheng Dong +4

Open-vocabulary remote sensing image segmentation (OVRSIS) aims to segment text-specified categories beyond a fixed label space. Its key challenge is to maintain reliable pixel--te…

cs.CV2026

Reward-Aware Trajectory Shaping for Few-step Visual Generation

Rui Li, Bingyu Li, Yuanzhi Liang +3

Achieving high-fidelity generation in extremely few sampling steps has long been a central goal of generative modeling. Existing approaches largely rely on distillation-based frame…

cs.CV2026

Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting

Da Zhang, Bingyu Li, Feiyu Wang +2

Zero-shot object counting (ZSOC) aims to enumerate objects of arbitrary categories specified by text descriptions without requiring visual exemplars. However, existing methods ofte…

cs.CL2026

Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring

Weixin Guan, Liang Li, Jiapeng Liu +6

Large Reasoning Language Models (LRLMs) demonstrate impressive capabilities on complex tasks by utilizing long Chain-of-Thought reasoning. However, they are prone to overthinking,…

cs.CV2026

IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework

Feiyu Wang, Jiayuan Yang, Zhiyuan Zhao +4

Scalable Vector Graphics (SVG) are central to digital design due to their inherent scalability and editability. Despite significant advancements in content generation enabled by Vi…