Dazhao Du

According to our database, Dazhao Du authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

From Visual Synthesis to Interactive Worlds: Toward Production-Ready 3D Asset Generation.

Jiafeng Wu, Zhuofan Lou, Jian Liu, Dazhao Du, Chunchao Guo, Song Guo

CoRR, April, 2026

Place-it-R1: Unlocking Environment-aware Reasoning Potential of MLLM for Video Object Insertion.

Bohai Gu, Taiyi Wu, Dazhao Du, Jian Liu, Shuai Yang, Xiaotong Zhao, Alan Zhao, Song Guo

CoRR, March, 2026

Mesh-Pro: Asynchronous Advantage-guided Ranking Preference Optimization for Artist-style Quadrilateral Mesh Generation.

Zhen Zhou, Jian Liu, Biwen Lei, Jing Xu, Haohan Weng, Yiling Zhu, Zhuo Chen, Junfeng Fan, Yunkai Ma, Dazhao Du, Song Guo, Fengshui Jing, Chunchao Guo

CoRR, March, 2026

UVENet: A novel end-to-end model for temporal consistency in underwater video enhancement.

Huijie Guo, Dazhao Du, Hongwei Dong, Shouyou Huang, Changwen Zheng, Lingyu Si

Neural Networks, 2026

Predicting the Future by Retrieving the Past.

Dazhao Du, Tao Han, Song Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

UIEDP: Boosting underwater image enhancement with diffusion prior.

Dazhao Du, Enhan Li, Lingyu Si, Wenlong Zhai, Fanjiang Xu, Jianwei Niu, Fuchun Sun

Expert Syst. Appl., 2025

2024

A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation.

Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu, Fuchun Sun

CoRR, 2024

End-To-End Underwater Video Enhancement: Dataset and Model.

Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu

CoRR, 2024

2023

UIEDP: Underwater Image Enhancement with Diffusion Prior.

Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu, Fuchun Sun

CoRR, 2023

Timestamp-Supervised Action Segmentation from the Perspective of Clustering.

Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Fuchun Sun

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Do We Really Need Temporal Convolutions in Action Segmentation?

Dazhao Du, Bing Su, Yu Li, Zhongang Qi, Lingyu Si, Ying Shan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting.

Dazhao Du, Bing Su, Zhewei Wei

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Timestamp-Supervised Action Segmentation in the Perspective of Clustering.

Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Fuchun Sun

CoRR, 2022

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language.

Bing Su, Dazhao Du, Zhao Yang, Yujie Zhou, Jiangmeng Li, Anyi Rao, Hao Sun, Zhiwu Lu, Ji-Rong Wen

CoRR, 2022

Efficient U-Transformer with Boundary-Aware Loss for Action Segmentation.

Dazhao Du, Bing Su, Yu Li, Zhongang Qi, Lingyu Si, Ying Shan

CoRR, 2022

Convolutional Transformer with Similarity-based Boundary Prediction for Action Segmentation.

Dazhao Du, Bing Su, Yu Li, Zhongang Qi, Lingyu Si, Ying Shan

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022