研究方向Research directions
人物交互检测（HOI）Human-Object Interaction Detection
关注开放词汇 HOI、视觉语言知识迁移和人—物—动作组合关系理解。Open-vocabulary HOI, vision-language transfer, and compositional human-object-action understanding.
待定To Be Decided
后续根据研究推进补充具体方向与代表工作。A future direction will be added as the research plan becomes clearer.
待定To Be Decided
后续根据研究推进补充具体方向与代表工作。A future direction will be added as the research plan becomes clearer.
人物交互检测（HOI）Human-Object Interaction Detection
论文笔记Paper Notes
HOI 人物交互检测综述：从组合关系到开放词汇HOI Detection Review: From Compositional Relations to Open Vocabulary
按人/物定位、交互分类、长尾泛化、开放词汇和视觉语言模型梳理 HOI 的基本问题与研究路线。A roadmap of HOI detection around localization, interaction classification, long-tail generalization, open vocabulary, and VLMs.
阅读论文笔记Read noteGEN-VLKT: Simplify Association and Enhance Interaction Understanding
用实例级解码简化人—物匹配，并把 CLIP 视觉语言知识迁移到交互理解中。Instance-level decoding with CLIP-based vision-language knowledge transfer for interaction understanding.
阅读论文笔记Read noteCMMP: Conditional Multi-Modal Prompts for Zero-shot HOI Detection
围绕视觉提示和语言提示做条件化设计，提升未见交互类别识别。Conditional visual and language prompts for better zero-shot HOI generalization.
阅读论文笔记Read noteEZ-HOI: Efficient Zero-Shot HOI Detection via VLM Adaptation
把大视觉语言模型的外部知识通过轻量适配注入 HOI 检测。Efficient VLM adaptation for unseen interaction recognition in HOI detection.
阅读论文笔记Read noteSGC-Net: Large Foundation Models for Open-Vocabulary HOI Detection
用大模型生成的细粒度交互描述和分层比较机制支持开放词汇 HOI。Granular LLM-generated interaction descriptions and hierarchical comparison for open-vocabulary HOI.
阅读论文笔记Read note代表工作Selected work
项目经历Project Experience
MAHOI: Multilingual Semantic Recalibration for Open-Vocabulary HOI Detection
以多语言 HOI 描述作为互补语义锚点，设计跨语言上下文交互、动态英语原型库和类别级全局语义约束，提升未见类别的开放词汇 HOI 检测能力。Uses multilingual HOI descriptions as complementary semantic anchors with cross-language interaction, dynamic English prototypes, and category-level constraints for unseen-category generalization.
盖板玻璃缺陷检测Cover Glass Defect Detection
完成分类、检测与分割路线评估，使用 ResNet 实现块级缺陷定位，并开发 PyQt 标注和结果可视化工具。Evaluated classification, detection, and segmentation; implemented ResNet-based defect localization and PyQt annotation and visualization tools.
仓储图像拼接与模糊复原Warehouse Stitching & Deblurring
面向 AGV 多镜头货架拍摄，开发关键点匹配拼接和一维码去模糊模块，提升成像质量与识别鲁棒性。Built keypoint-based multi-camera stitching and barcode deblurring modules for AGV warehouse imaging and robust recognition.