"Keep Calm and Don't Overfit."
NEW (02/2021): One paper accepted to CVPR 2021 as an oral presentation ( Preprint | Project | GitHub ).
NEW (01/2021): Our Stylized Neural Painting was launched as a new feature in Remini - an AI photo enhancer with over 50M users worldwide. ( Google Play | IOS App Store )
NEW (01/2021): One paper accepted to IEEE Transactions on Image Processing ( Preprint | Github ).
NEW (01/2021): Check out our new work on inverse autostereograms ( Preprint | Project | GitHub ).
NEW (12/2020): I will be serving as a Senior Program Committee (SPC) member in IJCAI 2021.
NEW (12/2020): One paper accepted to AAAI 2021.
NEW (10/2020): Check out our preprint paper on video sky blending and harmonization ( Preprint | Project | GitHub ).
NEW (09/2020): Our neural rendering paper was accepted by TPAMI. A great pleasure working with NetEase Fuxi Lab, congratulations!
NEW (07/2020): One paper accepted to ACM MM 2020.
NEW (02/2020): One paper accepted to CVPR 2020.
Zhengxia Zou, Zhenwei Shi, Yuhong Guo, and Jieping Ye. Object Detection in 20 Years: A Survey. CoRR, abs/1905.05055, 2019. [PDF]
This paper extensively reviews 400+ papers of object detection in the light of its technical evolution, spanning over a quarter-century’s time (from the 1990s to 2019). A number of topics are covered in this paper, including milestone detectors in history, detection datasets, metrics, fundamental building blocks of detection systems, speed up techniques, and the recent state of the art detection methods. - High-impact Citations: Tianyang Shi*, Zhengxia Zou* (*equal
contribution), Zhenwei Shi, and Yi Yuan.
Neural Rendering for Game Character Auto-creation. IEEE
Transactions on Pattern Analysis and Machine Intelligence,
2020, in press. [PDF]
- Media Coverage:
Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, and Zhenwei
Shi. Stylized Neural Painting. IEEE Conference on
Computer Vision and Pattern Recognition (CVPR) 2021, Oral Presentation. [PDF]
[1min-DemoVideo]
[Project]
[Github] [Google Colab] | Featured
in Remini, an AI photo enhancer with over
50M users worldwide. ( Google Play | IOS App Store )
- Media Coverage:
Zhengxia Zou. Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos. CoRR, abs/2010.118003, 2020. [PDF] [1min-DemoVideo] [Project] [Github] [Google Colab]
- Media Coverage:
Zhengxia Zou, Tianyang Shi, Yi Yuan, and Zhenwei Shi. NeuralMagicEye: Learning to See and Understand the Scene Behind an Autostereogram. CoRR, abs/2012.15692, 2020. [PDF] [1min-DemoVideo] [Project] [Github] [Google Colab]
- Media Coverage:
Jiangke Lin, Yi Yuan, and Zhengxia Zou. MeInGame: Create a Game Character Face from a Single Portrait. AAAI Conference on Artificial Intelligence (AAAI) 2021. [PDF] [1min-DemoVideo] [Github]
- Media Coverage:
Zhengxia Zou, Sen Lei, Tianyang Shi, Zhenwei Shi, and Jieping Ye. Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020. [PDF] [1min-DemoVideo] [Github]
Zhengxia Zou, Tianyang Shi, Zhenwei Shi, and Jieping Ye. Adversarial Training for Solving Inverse Problems in Image Processing. IEEE Transactions on Image Processing, 2021, in press. [PDF] [1min-DemoVideo] [Github]
Yinglin Duan*, Tianyang Shi*, Zhengxia Zou* (*Equal contribution), Yenan Lin, Zhehui Qian, Bohan Zhang, and Yi Yuan. Single-Shot Motion Completion with Transformer. CoRR, abs/2103.00776, 2021. [PDF]
Yinglin Duan*, Tianyang Shi* (*Equal contribution), Zhengxia Zou, Jia Qin, Yifei Zhao, Yi Yuan, Jie Hou, Xiang Wen, and Changjie Fan. Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation. CoRR, abs/2009.12763, 2020. [PDF]
Tianyang Shi, Zhengxia Zou, Yi Yuan, and Changjie Fan. Fast and Robust Face-to-Parameter Translation for Game Character Auto-creation. AAAI Conference on Artificial Intelligence (AAAI) 2020. [PDF]
Wenyuan Li, Zhengxia Zou, and Zhenwei Shi. Deep Matting for Cloud Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, in press, 2020. [PDF]
Zhengxia Zou*, Tianyang Shi* (*equal contribution), Wenyuan Li, Zhou Zhang, and Zhenwei Shi. Do Game Data Generalize Well for Remote Sensing Image Segmentation? Remote Sensing, in press, 2020. [PDF]
[GTA-V-SID] - A synthetic remote sensing image dataset from the video game GTA-V for semantic segmentation.
Sen Lei, Zhenwei Shi, and Zhengxia Zou. Coupled Adversarial Training for Remote Sensing Image Super-resolution. IEEE Transactions on Geoscience and Remote Sensing. 58(5), May 2020, pp. 3633 - 3643. [PDF]
Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, and Yong Liu. Face-to-Parameter Translation for Game Character Auto-Creation. IEEE International Conference on Computer Vision (ICCV) 2019. [PDF]
Numerical optimization is one of the core math foundations in image processing and machine learning. But I remember in the beginning of my Ph.D. years, the math behind always made me frustrated 🙁🙁.
During the winter vacation of 2016, I decided to make a change. I revisited some well-known optimization methods (e.g., Gradient Descent, Newton/Quasi-Newton Method, ALM, etc.), and made a series of GIF visualizations to show how these algorithms behave dynamically. Check out this blog for more details and I hope it will help you better understand these algorithms.