no code implementations • ECCV 2020 • Ruizheng Wu, Xin Tao, Ying-Cong Chen, Xiaoyong Shen, Jiaya Jia
Unpaired image-to-image translation aims to translate images from the source class to target one by providing sufficient data for these classes.
no code implementations • CVPR 2023 • Leheng Li, Qing Lian, Luozhou Wang, Ningning Ma, Ying-Cong Chen
This work explores the use of 3D generative models to synthesize training data for 3D vision tasks.
1 code implementation • CVPR 2023 • Chenyang Qi, Xin Yang, Ka Leong Cheng, Ying-Cong Chen, Qifeng Chen
Then, an efficient frequency-aware decoder reconstructs a high-fidelity HR image from the LR one in real time.
no code implementations • 20 Mar 2023 • Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen
We show that together with a reflection direction-dependent radiance, our model achieves high-quality surface reconstruction on reflective surfaces and outperforms the state-of-the-arts by a large margin.
no code implementations • 6 Dec 2022 • Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi
With the increasing popularity of telehealth, it becomes critical to ensure that basic physiological signals can be monitored accurately at home, with minimal patient overhead.
no code implementations • 3 Aug 2022 • Xin Zhang, Ying-Cong Chen
Domain Generalization (DG) aims to safely transfer a model to unseen target domains by only relying on a set of source domains.
1 code implementation • CVPR 2022 • Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng
In this work, we study the continual semantic segmentation problem, where the deep neural networks are required to incorporate new classes continually without catastrophic forgetting.
Ranked #1 on Domain 1-1 on Cityscapes
Class Incremental Learning Continual Semantic Segmentation +15
no code implementations • ICCV 2021 • Yi Wang, Lu Qi, Ying-Cong Chen, Xiangyu Zhang, Jiaya Jia
In this paper, we present a novel approach to synthesize realistic images based on their semantic layouts.
1 code implementation • 18 Feb 2021 • Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi
We define Deep Imbalanced Regression (DIR) as learning from such imbalanced data with continuous targets, dealing with potential missing data for certain target values, and generalizing to the entire target range.
no code implementations • 1 Jan 2021 • Hao He, Ying-Cong Chen, Yuan Yuan, Dina Katabi
Further, since breathing can be monitored without body contact by analyzing the radio signal in the environment, we show that oxygen too can be monitored without any wearable devices.
no code implementations • ICCV 2021 • Jinrui Yang, Jiawei Zhang, Fufu Yu, Xinyang Jiang, Mengdan Zhang, Xing Sun, Ying-Cong Chen, Wei-Shi Zheng
Several mainstream methods utilize extra cues (e. g., human pose information) to distinguish human parts from obstacles to alleviate the occlusion problem.
no code implementations • CVPR 2020 • Ying-Cong Chen, Xiaogang Xu, Jiaya Jia
Our framework introduces two sub-modules -- one maps testing samples to the valid input domain of the I2I model, and the other transforms the output of I2I model to expected results.
1 code implementation • CVPR 2020 • Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
Traditional convolution-based generative adversarial networks synthesize images based on hierarchical local operations, where long-range dependency relation is implicitly modeled with a Markov chain.
2 code implementations • ECCV 2020 • Yi Wang, Ying-Cong Chen, Xin Tao, Jiaya Jia
Blind inpainting is a task to automatically complete visual contents without specifying masks for missing areas in an image.
no code implementations • CVPR 2019 • Ying-Cong Chen, Xiaohui Shen, Zhe Lin, Xin Lu, I-Ming Pao, Jiaya Jia
The model decomposes a facial attribute into multiple semantic components, each corresponds to a specific face region.
1 code implementation • CVPR 2019 • Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia
We also show that this framework can be applied to multi-domain and multi-modal translation.
no code implementations • CVPR 2018 • Ying-Cong Chen, Huaijia Lin, Michelle Shu, Ruiyu Li, Xin Tao, Yangang Ye, Xiaoyong Shen, Jiaya Jia
Digital face manipulation has become a popular and fascinating way to touch images with the prevalence of smartphones and social networks.
no code implementations • ICCV 2017 • Ying-Cong Chen, Xiaoyong Shen, Jiaya Jia
In this paper, we propose the task of restoring a portrait image from this process.
no code implementations • 7 Apr 2017 • Xiaoyong Shen, Ying-Cong Chen, Xin Tao, Jiaya Jia
We propose a principled convolutional neural pyramid (CNP) framework for general low-level vision and image processing tasks.
no code implementations • 26 Mar 2017 • Ying-Cong Chen, Xiatian Zhu, Wei-Shi Zheng, Jian-Huang Lai
The challenge of person re-identification (re-id) is to match individual images of the same person captured by different non-overlapping camera views against significant and unknown cross-view feature distortion.
no code implementations • 26 Apr 2016 • Shangxuan Wu, Ying-Cong Chen, Xiang Li, An-Cong Wu, Jin-Jie You, Wei-Shi Zheng
In this paper, we focus on the feature representation and claim that hand-crafted histogram features can be complementary to Convolutional Neural Network (CNN) features.