Rongcheng Tu

According to our database, Rongcheng Tu authored at least 26 papers between 2018 and 2024.

Collaborative distances:

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

2024

Similarity Transitivity Broken-Aware Multi-Modal Hashing.

Rong-Cheng Tu, Xian-Ling Mao, Jinyu Liu, Yatai Ji, Wei Wei, Heyan Huang

IEEE Trans. Knowl. Data Eng., November, 2024

Diffusion Model-Based Video Editing: A Survey.

Wenhao Sun, Rong-Cheng Tu, Jingyi Liao, Dacheng Tao

CoRR, 2024

A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models.

Xincheng Shuai, Henghui Ding, Xingjun Ma, Rongcheng Tu, Yu-Gang Jiang, Dacheng Tao

CoRR, 2024

Deep Foreground-Background Weighted Cross-modal Hashing.

Guanqi Zhao, Xian-Ling Mao, Rong-Cheng Tu, Wenjin Ji, Heyan Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Data-Focus Proxy Hashing.

Wenjin Ji, Xianling Mao, Jinyu Liu, Rongcheng Tu, Heyan Huang

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Unsupervised Cross-Modal Hashing With Modality-Interaction.

Rong-Cheng Tu, Jie Jiang, Qinghong Lin, Chengfei Cai, Shangxuan Tian, Hongfa Wang, Wei Liu

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Deep Cross-Modal Proxy Hashing.

Rong-Cheng Tu, Xian-Ling Mao, Rongxin Tu, Bin-Bin Bian, Chengfei Cai, Hongfa Wang, Wei Wei, Heyan Huang

IEEE Trans. Knowl. Data Eng., July, 2023

Unsupervised Cross-Modal Hashing via Semantic Text Mining.

Rong-Cheng Tu, Xian-Ling Mao, Qinghong Lin, Wenjin Ji, Weize Qin, Wei Wei, Heyan Huang

IEEE Trans. Multim., 2023

Unsupervised Hashing with Semantic Concept Mining.

Rong-Cheng Tu, Xian-Ling Mao, Kevin Qinghong Lin, Chengfei Cai, Weize Qin, Wei Wei, Hongfa Wang, Heyan Huang

Proc. ACM Manag. Data, 2023

Global and Local Semantic Completion Learning for Vision-Language Pre-training.

Rong-Cheng Tu, Yatai Ji, Jie Jiang, Weijie Kong, Chengfei Cai, Wenzhe Zhao, Hongfa Wang, Yujiu Yang, Wei Liu

CoRR, 2023

Data-Aware Proxy Hashing for Cross-modal Retrieval.

Rong-Cheng Tu, Xian-Ling Mao, Wenjin Ji, Wei Wei, Heyan Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning.

Yatai Ji, Rongcheng Tu, Jie Jiang, Weijie Kong, Chengfei Cai, Wenzhe Zhao, Hongfa Wang, Yujiu Yang, Wei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning.

Rong-Cheng Tu, Xian-Ling Mao, Bing Ma, Yong Hu, Tan Yan, Wei Wei, Heyan Huang

IEEE Trans. Knowl. Data Eng., 2022

Multimodal graph neural network for video procedural captioning.

Lei Ji, Rong-Cheng Tu, Kevin Lin, Lijuan Wang, Nan Duan

Neurocomputing, 2022

Egocentric Video-Language Pretraining @ Ego4D Challenge 2022.

Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

CoRR, 2022

Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022.

Kevin Qinghong Lin, Alex Jinpeng Wang, Rui Yan, Eric Zhongcong Xu, Rong-Cheng Tu, Yanru Zhu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Wei Liu, Mike Zheng Shou

CoRR, 2022

Egocentric Video-Language Pretraining.

Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

CoRR, 2022

HunYuan_tvr for Text-Video Retrievial.

Shaobo Min, Weijie Kong, Rong-Cheng Tu, Dihong Gong, Chengfei Cai, Wenzhe Zhao, Chenyang Liu, Sixiao Zheng, Hongfa Wang, Zhifeng Li, Wei Liu

CoRR, 2022

Egocentric Video-Language Pretraining.

Kevin Qinghong Lin, Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Partial-Softmax Loss based Deep Hashing.

Rong-Cheng Tu, Xian-Ling Mao, Jia-Nan Guo, Wei Wei, Heyan Huang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Weighted Gaussian Loss based Hamming Hashing.

Rong-Cheng Tu, Xian-Ling Mao, Cihang Kong, Zihang Shao, Ze-Lin Li, Wei Wei, Heyan Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Hashing based Efficient Inference for Image-Text Matching.

Rong-Cheng Tu, Lei Ji, Huaishao Luo, Botian Shi, Heyan Huang, Nan Duan, Xian-Ling Mao

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Deep Cross-modal Proxy Hashing.

Rong-Cheng Tu, Xian-Ling Mao, Rongxin Tu, Wei Wei, Heyan Huang

CoRR, 2020

MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing.

Rong-Cheng Tu, Xianling Mao, Wei Wei

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Object Detection based Deep Unsupervised Hashing.

Rong-Cheng Tu, Xianling Mao, Bo-Si Feng, Shu-ying Yu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Object Detection based Deep Unsupervised Hashing.

Rong-Cheng Tu, Xianling Mao, Bo-Si Feng, Bing-Bing Bian, Yu-shu Ying

CoRR, 2018