Selected Publications

Leheng Li, Qing Lian, Ying-Cong Chen. Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.

Yixun Liang, Hao He, Ying-Cong Chen. Rethinking Rendering in Generalizable Neural Surface Reconstruction: A Learning-based Solution. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen. Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023.

Luozhou Wang, Shuai Yang, Shu Liu, Ying-Cong Chen. Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023.

Xin Yang, Xiaogang Xu, Ying-Cong Chen. Photo-Realistic Out-of-domain GAN inversion via Invertibility Decomposition. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023.

Leheng Li, Qing Lian, Luozhou Wang, Ningning Ma, Ying-Cong Chen. Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Hao Lu, Zitong Yu, Xuesong Niu, Ying-Cong Chen. Neuron Structure Modeling for Generalizable Remote Physiological Measurement. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Chenyang Qi, Xin Yang, Ka Leong Chang, Ying-Cong Chen, Qifeng Chen. Real-time 6K Image Rescaling with Rate-distortion Optimization. IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.

Hao He, Yixun Liang, Shishi Xiao, Jierun Chen, Ying-Cong Chen. CP-NeRF: Conditionally Parameterized Neural Radiance Fields for Cross-scene Novel View Synthesis. Computer Graphics Forum (Pacific Graphics), 2023.

Yuzhe Yang, Yuan Yuan, Guo Zhang, Hao Wang, Ying-Cong Chen, Yingcheng Liu, Christopher Tarolli, Daniel Crepeau, Jan Bukartyk, Mithri Junna, Aleksandar Videnovic, Terry Ellis, Melissa Lipford, Ray Dorsey, Dina Katabi. Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals. Nature Medicine, 2022.

Qing Lian, Yanbo Xu, Weilong Yao, Ying-Cong Chen, Tong Zhang. Semi-supervised Monocular 3D Object Detection by Multi-view Consistency. Proceedings of the European conference on computer vision (ECCV), 2022.

Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Ying-Cong Chen, Sabine Susstrunk, Matthias Niebner. RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. Proceedings of the European conference on computer vision (ECCV), 2022.

Xin Lai, Zhuotao Tian, Xiaogang Xu, Ying-Cong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia. DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation. Proceedings of the European conference on computer vision (ECCV), 2022.

Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng. Representation Compensation Networks for Continual Semantic Segmentation. In Computer Vision and Pattern Recognition (CVPR), 2022.

Yi Wang, Lu Qi, Ying-Cong Chen, Xiangyu Zhang, Jiaya Jia. SC-GAN: Image Synthesis via Semantic Composition. In Proceedings of the IEEE International Conference on Computer Vision, 2021.

Jinrui Yang, Jiawei Zhang, Fufu Yu, Xinyang Zhang, Mengdan Zhang, Xin Sun, Ying-Cong Chen, Wei-Shi Zheng. Learning to Know Where to See: A Visibility-Aware Approach for Occluded Person Re-identification. In Proceedings of the IEEE International Conference on Computer Vision, 2021.

Xiaogang Xu, Ying-Cong Chen, Xin Tao, Jiaya Jia. Text-Guided Human Image Manipulation via Image-Text Shared Space. In IEEE Transation on Pattern Analysis and Machine Intelligence, 2021.

Lu Qi, Yi Wang, Yukang Chen, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia. PointINS: Point-based instance segmentation. In IEEE Transation on Pattern Analysis and Machine Intelligence, 2021.

Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi. Delving into Deep Imbalanced Regression. In International Conference on Machine Learning (Long Talk, Acceptance Rate: 3%), 2021.

Yi Wang, Ying-Cong Chen, Xin Tao, Jiaya Jia. VCNet: A Robust Approach to Blind Image Inpainting. In European Conference on Computer Vision, 2020.

Ying-Cong Chen, Jiaya Jia. Homomorphic Interpolation Network for Unpaired Image-to-image Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.

Ying-Cong Chen, Xiaogang Xu, Jiaya Jia. Domain Adaptive Image-to-image Translation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020.

Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia. Attentive normalization for conditional image generation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (Oral, Acceptance Rate: 5.7%), 2020.

Xiaogang Xu, Ying-Cong Chen, Jiaya Jia. View Independent Generative Adversarial Network for Novel View Synthesis. Proceedings of the IEEE International Conference on Computer Vision (Oral, Acceptance Rate: 2.1%), 2019.

Ying-Cong Chen, Xiaohui Shen, Zhe Lin, Xin Lu, I Pao, Jiaya Jia, Others. Semantic component decomposition for face attribute manipulation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019.

Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia. Homomorphic latent space interpolation for unpaired image-to-image translation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (Oral, Acceptance Rate: 5.6%), 2019.

Ying-Cong Chen, Xiatian Zhu, Wei-Shi Zheng, Jianhuang Lai. Person Re-Identification by Camera Correlation Aware Feature Augmentation. In IEEE Transation on Pattern Analysis and Machine Intelligence (ESI highly cited paper), 2018.

Ying-Cong Chen, Huaijia Lin, Michelle Shu, Ruiyu Li, Xin Tao, Xiaoyong Shen, Yangang Ye, Jiaya Jia. Facelet-bank for fast portrait manipulation. Proceedings of the IEEE conference on computer vision and pattern recognition, 2018.

Ying-Cong Chen, Xiaoyong Shen, Jiaya Jia. Makeup-go: Blind reversion of portrait edit. Proceedings of the IEEE International Conference on Computer Vision (Oral, Accepance Rate: Acceptance Rate: 2.09%), 2017.

Shangxuan Wu, Ying-Cong Chen, Xiang Li, An-Cong Wu, Jin-Jie You, Wei-Shi Zheng. An enhanced deep feature representation for person re-identification. IEEE winter conference on applications of computer vision (WACV), 2016.

Ying-Cong Chen, Wei-Shi Zheng, Jian-Huang Lai, Pong C Yuen. An asymmetric distance model for cross-view feature mapping in person reidentification. In IEEE transactions on circuits and systems for video technology, 2016.

Ying-Cong Chen, Wei-Shi Zheng, Jianhuang Lai. Mirror representation for modeling view-specific transform in person re-identification. Proceedings of the International Conference on Artificial Intelligence, 2015.