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most citedInsectMamba: Insect Pest Classification with State Space Model

9 citations · 22 across the 10 of their papers we have counts for

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cs.CV2025

ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies

Chenglin Wang, Yucheng Zhou, Qianning Wang +2

Text-driven image editing has achieved remarkable success in following single instructions. However, real-world scenarios often involve complex, multi-step instructions, particular…

cs.CV2025

Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation

Yucheng Zhou, Jiahao Yuan, Qianning Wang

Recent advancements in text-to-image (T2I) generation have enabled models to produce high-quality images from textual descriptions. However, these models often struggle with comple…

cs.CV2024★ 3 cited

MemoryMamba: Memory-Augmented State Space Model for Defect Recognition

Qianning Wang, He Hu, Yucheng Zhou

As automation advances in manufacturing, the demand for precise and sophisticated defect detection technologies grows. Existing vision models for defect recognition methods are ins…

cs.CV2024★ 9 cited

InsectMamba: Insect Pest Classification with State Space Model

Qianning Wang, Chenglin Wang, Zhixin Lai +1

The classification of insect pests is a critical task in agricultural technology, vital for ensuring food security and environmental sustainability. However, the complexity of pest…

cs.CV2024★ 5 cited

Visual In-Context Learning for Large Vision-Language Models

Yucheng Zhou, Xiang Li, Qianning Wang +1

In Large Visual Language Models (LVLMs), the efficacy of In-Context Learning (ICL) remains limited by challenges in cross-modal interactions and representation disparities. To over…