Hao Wang

王昊

Researcher / undergraduate Student
Daliann Maritime University
Dalian, China

Email: King.Whao@outlook.com
GitHub: github.com/wanghao

Biography

I am currently an undergraduate student at Dalian Maritime University, majoring in Computer Science and Technology.

Research Interests

My primary research interests lie in object detection under challenging visual scenarios. My recent work focuses on camouflaged and salient object detection, where targets are often seamlessly embedded in their surroundings or easily confused with complex backgrounds, making accurate detection particularly challenging. Detecting such objects plays a critical role in reliable scene understanding and benefits a wide range of computer vision applications, including image classification, visual tracking, content-aware image editing, medical image analysis, and robotic navigation.

In addition, I explore multimodal fusion techniques that leverage complementary information from different modalities to improve robustness and generalization in complex scenes. More recently, I have begun exploring vision language and visual multimodal large models to further enhance representation learning and cross-modal understanding.

camouflaged objects detection and salient objects detection
Multimodal fusion
Visual multi-modal large model for reasoning segmentation

Projects

2026
1.		Toward Unified Cross-Modal Camouflaged Object Detection Hao Wang, This work addresses camouflaged object detection by developing a unified multimodal framework that adapts to varying auxiliary modality availability. under review [PDF\|Code]