Zitang Sun

According to our database, Zitang Sun authored at least 26 papers between 2020 and 2026.

Collaborative distances:

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

2026

Structuring Open-Ended NAS: Semi-Automated Design Knowledge Structuring with LLMs for Efficient Neural Architecture Search.

Yuiko Sakuma, Masakazu Yoshimura, Marcel Gröpl, Zitang Sun, Junji Otsuka, Atsushi Irie, Takeshi Ohashi

CoRR, May, 2026

LLM as a Tool, Not an Agent: Code-Mined Tree Transformations for Neural Architecture Search.

Masakazu Yoshimura, Zitang Sun, Yuiko Sakuma, Junji Otsuka, Atsushi Irie, Takeshi Ohashi

CoRR, April, 2026

Do vision models perceive illusory motion in static images like humans?

Isabella Elaine Rosario, Fan L. Cheng, Zitang Sun, Nikolaus Kriegeskorte

CoRR, April, 2026

2025

Investigate the Low-level Visual Perception in Vision-Language based Image Quality Assessment.

Yuan Li, Zitang Sun, Yen-Ju Chen, Shin'ya Nishida

CoRR, December, 2025

Building Reasonable Inference for Vision-Language Models in Blind Image Quality Assessment.

Yuan Li, Zitang Sun, Yen-ju Chen, Shin'ya Nishida

CoRR, December, 2025

Online Data Curation for Object Detection via Marginal Contributions to Dataset-level Average Precision.

Zitang Sun, Masakazu Yoshimura, Junji Otsuka, Atsushi Irie, Takeshi Ohashi

CoRR, November, 2025

Joint channel-spatial entropy modeling for efficient visual coding.

Yuan Li, Xiaotong Jiang, Zitang Sun

Neural Comput. Appl., July, 2025

Machine Learning Modeling for Multi-order Human Visual Motion Processing.

Zitang Sun, Yen-Ju Chen, Yung-Hao Yang, Yuan Li, Shin'ya Nishida

CoRR, January, 2025

Human visual grouping based on within- and cross-area temporal correlations.

Yen-Ju Chen, Zitang Sun, Shin'ya Nishida

PLoS Comput. Biol., 2025

RFMiD: Retinal Image Analysis for multi-Disease Detection challenge.

Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Zhengbo Luo, Feng Han, Zitang Sun, Li Qihan, Sei-ichiro Kamata, Edward Ho, Edward Wang, Asaanth Sivajohan, Saerom Youn, Kevin Lane, Jin Chun, Xinliang Wang, Yunchao Gu, Sixu Lu, Young-tack Oh, Hyunjin Park, Chia-Yen Lee, Hung Yeh, Kai-Wen Cheng, Haoyu Wang, Jin Ye, Junjun He, Lixu Gu, Dominik Müller, Iñaki Soto Rey, Frank Kramer, Hidehisa Arai, Yuma Ochi, Takami Okada, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau

Medical Image Anal., 2025

Building Reasonable Inference for Vision-Language Models in Blind Image Quality Assessment.

Yuan Li, Zitang Sun, Yen-Ju Chen, Shin'ya Nishida

Proceedings of the Neural Information Processing - 32nd International Conference, 2025

HuPerFlow: A Comprehensive Benchmark for Human vs. Machine Motion Estimation Comparison.

Yung-Hao Yang, Zitang Sun, Taiki Fukiage, Shin'ya Nishida

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Unsupervised learning of optical flow in a multi-frame dynamic environment using temporal dynamic modeling.

Zitang Sun, Zhengbo Luo, Shin'ya Nishida

Complex Intell. Syst., 2024

2023

Decoupled spatiotemporal adaptive fusion network for self-supervised motion estimation.

Zitang Sun, Zhengbo Luo, Shin'ya Nishida

Neurocomputing, 2023

Modelling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network for Adaptive Motion Integration.

Zitang Sun, Yen-Ju Chen, Yung-Hao Yang, Shin'ya Nishida

CoRR, 2023

Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network.

Zitang Sun, Yen-Ju Chen, Yung-Hao Yang, Shin'ya Nishida

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Constructing infinite deep neural networks with flexible expressiveness while training.

Zhengbo Luo, Zitang Sun, Weilian Zhou, Zizhang Wu, Sei-ichiro Kamata

Neurocomputing, 2022

Rethinking ResNets: improved stacking strategies with high-order schemes for image classification.

Zhengbo Luo, Zitang Sun, Weilian Zhou, Zizhang Wu, Sei-ichiro Kamata

Complex Intell. Syst., 2022

2021

Polynomial approximation based spectral dual graph convolution for scene parsing and segmentation.

Zitang Sun, Ruojing Wang, Zhengbo Luo

Neurocomputing, 2021

Rethinking ResNets: Improved Stacking Strategies With High Order Schemes.

Zhengbo Luo, Zitang Sun, Weilian Zhou, Sei-ichiro Kamata

CoRR, 2021

Transformer And Node-Compressed Dnn Based Dual-Path System For Manipulated Face Detection.

Zhengbo Luo, Sei-Ichiro Kamata, Zitang Sun

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

HFGCNET: High-Frequency Graph Reasoning for Finer Semantic Image Segmentation.

Zitang Sun, Ruojing Wang, Zhengbo Luo, Weili Chen

Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Neural Networks with Flexible Complexity While Training Based on Neural Ordinary Differential Equations.

Zhengbo Luo, Sei-ichiro Kamata, Zitang Sun, Weilian Zhou

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Validation Feedback based Image Transfer Network for Data Augmentation.

Weili Chen, Sei-ichiro Kamata, Zitang Sun

Proceedings of the VSIP '20: 2020 2nd International Conference on Video, 2020

Adaptive Image Compression Using GAN based Semantic-perceptual Residual Compensation.

Ruojing Wang, Zitang Sun, Sei-ichiro Kamata

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Semantic Segmentation Refinement Using Entropy and Boundary-guided Monte Carlo Sampling and Directed Regional Search.

Zitang Sun, Sei-Ichiro Kamata, Ruojing Wang

Proceedings of the 25th International Conference on Pattern Recognition, 2020