Search Results for author: Ying-Cong Chen

Found 21 papers, 6 papers with code

Particularity beyond Commonality: Unpaired Identity Transfer with Multiple References

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.

Image-to-Image Translation Translation

Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection

no code implementations20 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.

3D Reconstruction Surface Reconstruction

Contactless Oxygen Monitoring with Gated Transformer

no code implementations6 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.

Adaptive Domain Generalization via Online Disagreement Minimization

no code implementations3 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.

Domain Generalization

Representation Compensation Networks for Continual Semantic Segmentation

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.

Class Incremental Learning Continual Semantic Segmentation +15

Image Synthesis via Semantic Composition

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.

Image Generation Semantic Composition

Delving into Deep Imbalanced Regression

1 code implementation18 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.


Learning Blood Oxygen from Respiration Signals

no code implementations1 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.

Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification

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.

Person Re-Identification

Domain Adaptive Image-to-Image Translation

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.

Image-to-Image Translation Translation

Attentive Normalization for Conditional Image Generation

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.

Conditional Image Generation Semantic correspondence +2

VCNet: A Robust Approach to Blind Image Inpainting

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.

Image Inpainting

Semantic Component Decomposition for Face Attribute Manipulation

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.

Facelet-Bank for Fast Portrait Manipulation

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.

Facial Editing

Makeup-Go: Blind Reversion of Portrait Edit

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.


Convolutional Neural Pyramid for Image Processing

no code implementations7 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.

Colorization Image Enhancement +2

Person Re-Identification by Camera Correlation Aware Feature Augmentation

no code implementations26 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.

Person Re-Identification

An Enhanced Deep Feature Representation for Person Re-identification

no code implementations26 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.

Metric Learning Person Re-Identification

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