Yu Zeng

According to our database, Yu Zeng authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

2024

Large Occluded Human Image Completion via Image-Prior Cooperating.

Hengrun Zhao, Yu Zeng, Huchuan Lu, Lijun Wang

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

2023

Securing Deep Generative Models with Universal Adversarial Signature.

Yu Zeng, Mo Zhou, Yuan Xue, Vishal M. Patel

CoRR, 2023

SceneComposer: Any-Level Semantic Image Synthesis.

Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel

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

2022

Learning to Detect Salient Object With Multi-Source Weak Supervision.

Hongshuang Zhang, Yu Zeng, Huchuan Lu, Lihe Zhang, Jianhua Li, Jinqing Qi

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Shape-guided Object Inpainting.

Yu Zeng, Zhe Lin, Vishal M. Patel

CoRR, 2022

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches.

Yu Zeng, Zhe Lin, Vishal M. Patel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction.

Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel

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

2020

Image Inpainting with Contextual Reconstruction Loss.

Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel

CoRR, 2020

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling.

Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu

Proceedings of the Computer Vision - ECCV 2020, 2020

AIM 2020 Challenge on Image Extreme Inpainting.

Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, S. M. Nadim Uddin, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu-Tak Li, Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Daniel Pak-Kong Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal, Pranjal Singh Chauhan

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation.

Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Multi-Source Weak Supervision for Saliency Detection.

Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Embedding Features for Salient Object Detection.

Yun-Zhi Zhuge, Yu Zeng, Huchuan Lu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

An Unsupervised Game-Theoretic Approach to Saliency Detection.

Yu Zeng, Mengyang Feng, Huchuan Lu, Gang Yang, Ali Borji

IEEE Trans. Image Process., 2018

Learning to Promote Saliency Detectors.

Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Statistics of Deep Generated Images.

Yu Zeng, Huchuan Lu, Ali Borji

CoRR, 2017

An Unsupervised Game-Theoretic Approach to Saliency Detection.

Yu Zeng, Huchuan Lu, Ali Borji, Mengyang Feng

CoRR, 2017