Ganning Zhao - RankMe

13 papers A 1B 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Descrip3D: Enhancing Large Language Model-based 3D Scene Understanding with Object-Level Text Descriptions. CoRR Jintang Xue, Ganning Zhao, Jie-En Yao, Hong-En Chen, Yue Hu, Meida Chen, Suya You, C.-C. Jay Kuo
2024	—	`conf`	A Lightweight Generalizable Evaluation and Enhancement Framework for Generative Models and Generated Samples. WACV (Workshops) Ganning Zhao, Vasileios Magoulianitis, Suya You, C.-C. Jay Kuo
2024	A	`conf`	SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment. WACV Ganning Zhao, Wenhui Cui, Suya You, C.-C. Jay Kuo
2023	J	`jnl`	A Study on Improving Realism of Synthetic Data for Machine Learning. CoRR Tingwei Shen, Ganning Zhao, Suya You
2023	B	`conf`	LGSQE: Lightweight Generated Sample Quality Evaluation. ICIP Ganning Zhao, Vasileios Magoulianitis, Suya You, C.-C. Jay Kuo
2023	J	`jnl`	Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction. CoRR Wenhui Cui, Haleh Akrami, Ganning Zhao, Anand A. Joshi, Richard M. Leahy
2023	J	`jnl`	SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment. CoRR Ganning Zhao, Wenhui Cui, Suya You, C.-C. Jay Kuo
2023	J	`jnl`	Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints. CoRR Ganning Zhao, Tingwei Shen, Suya You, C.-C. Jay Kuo
2021	J	`jnl`	CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networks. CoRR Ganning Zhao, Jiesi Hu, Suya You, C.-C. Jay Kuo
2021	J	`jnl`	Evaluation of Multimodal Semantic Segmentation using RGB-D Data. CoRR Jiesi Hu, Ganning Zhao, Suya You, C.-C. Jay Kuo
2021	J	`jnl`	TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation. CoRR Xuejing Lei, Ganning Zhao, Kaitai Zhang, C.-C. Jay Kuo
2020	—	`conf`	NITES: A Non-Parametric Interpretable Texture Synthesis Method. APSIPA Xuejing Lei, Ganning Zhao, C.-C. Jay Kuo
2020	J	`jnl`	NITES: A Non-Parametric Interpretable Texture Synthesis Method. CoRR Xuejing Lei, Ganning Zhao, C.-C. Jay Kuo