Yeying Jin

According to our database, Yeying Jin authored at least 22 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Polyp-DAM: Polyp Segmentation via Depth Anything Model.

Zhuoran Zheng, Chen Wu, Yeying Jin, Xiuyi Jia

IEEE Signal Process. Lett., 2024

Expandable-RCNN: toward high-efficiency incremental few-shot object detection.

Yiting Li, Sichao Tian, Haiyue Zhu, Yeying Jin, Keqing Wang, Jun Ma, Cheng Xiang, Prahlad Vadakkepat

Frontiers Artif. Intell., 2024

Modality-Fair Preference Optimization for Trustworthy MLLM Alignment.

Songtao Jiang, Yan Zhang, Ruizhe Chen, Yeying Jin, Zuozhu Liu

CoRR, 2024

Underwater Organism Color Enhancement via Color Code Decomposition, Adaptation and Interpolation.

Xiaofeng Cong, Jing Zhang, Yeying Jin, Junming Hou, Yu Zhao, Jie Gui, James Tin-Yau Kwok, Yuan Yan Tang

CoRR, 2024

MoE-TinyMed: Mixture of Experts for Tiny Medical Large Vision-Language Models.

Songtao Jiang, Tuo Zheng, Yan Zhang, Yeying Jin, Zuozhu Liu

CoRR, 2024

Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models.

Songtao Jiang, Yan Zhang, Chenyi Zhou, Yeying Jin, Yang Feng, Jian Wu, Zuozhu Liu

CoRR, 2024

How Powerful Potential of Attention on Image Restoration?

Cong Wang, Jinshan Pan, Yeying Jin, Liyan Wang, Wei Wang, Gang Fu, Wenqi Ren, Xiaochun Cao

CoRR, 2024

NightHaze: Nighttime Image Dehazing via Self-Prior Learning.

Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan

CoRR, 2024

Polyp-DAM: Polyp segmentation via depth anything model.

Zhuoran Zheng, Chen Wu, Wei Wang, Yeying Jin, Xiuyi Jia

CoRR, 2024

Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models.

Songtao Jiang, Tuo Zheng, Yan Zhang, Yeying Jin, Li Yuan, Zuozhu Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

UCIP: A Universal Framework for Compressed Image Super-Resolution Using Dynamic Prompt.

Xin Li, Bingchen Li, Yeying Jin, Cuiling Lan, Hanxin Zhu, Yulin Ren, Zhibo Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal.

Yeying Jin, Xin Li, Jiadong Wang, Yan Zhang, Malu Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

Dual-Rain: Video Rain Removal Using Assertive and Gentle Teachers.

Tingting Chen, Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan

Proceedings of the Computer Vision - ECCV 2024, 2024

SeD: Semantic-Aware Discriminator for Image Super-Resolution.

Bingchen Li, Xin Li, Hanxin Zhu, Yeying Jin, Ruoyu Feng, Zhizheng Zhang, Zhibo Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction.

Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Shunli Zhang, Robby T. Tan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity.

Yeying Jin, Wei Ye, Wenhan Yang, Yuan Yuan, Robby T. Tan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution.

Yeying Jin, Beibei Lin, Wending Yan, Yuan Yuan, Wei Ye, Robby T. Tan

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning.

Yeying Jin, Ruoteng Li, Wenhan Yang, Robby T. Tan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ShadowDiffusion: Diffusion-based Shadow Removal using Classifier-driven Attention and Structure Preservation.

Yeying Jin, Wenhan Yang, Wei Ye, Yuan Yuan, Robby T. Tan

CoRR, 2022

Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression.

Yeying Jin, Wenhan Yang, Robby T. Tan

Proceedings of the Computer Vision - ECCV 2022, 2022

Structure Representation Network and Uncertainty Feedback Learning for Dense Non-uniform Fog Removal.

Yeying Jin, Wending Yan, Wenhan Yang, Robby T. Tan

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network.

Yeying Jin, Aashish Sharma, Robby T. Tan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021