Selected Publications

Luozhou Wang, Guibao Shen, Wenhang Ge, Guangyong Chen, Yijun Li, Ying-Cong Chen. Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models. Proceedings of the European conference on computer vision (ECCV), 2024.

Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen. MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders. Proceedings of the European conference on computer vision (ECCV), 2024.

Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Ying-Cong Chen. Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics. Proceedings of the European conference on computer vision (ECCV), 2024.

Haodong Li, Hao Lu, Ying-Cong Chen. Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement. Proceedings of the European conference on computer vision (ECCV), 2024.

Jiaqi Tang, Hao Lu, Xiaogang Xu, Ruizheng Wu, Sixing Hu, Tong Zhang, Tsz Wa Cheng, Ming Ge, Ying-Cong Chen, Fugee Tsung. An Incremental Unified Framework for Small Defect Inspection. Proceedings of the European conference on computer vision (ECCV), 2024.

Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu. Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning. International Conference on Machine Learning (ICML), 2024.

Yixun Liang, Xin Yang, Jiantao Lin, Haodong Li, Xiaogang Xu, Ying-Cong Chen. LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (Spotlight, Top 2.81%), 2024.

Lin Song, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Ying-Cong Chen, Ying Shan. Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Jiaqi Tang, Ruizheng Wu, Xiaogang Xu, Sixing Hu, Ying-Cong Chen. Learning to Remove Wrinkled Transparent Film with Polarized Prior. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Yang Li, Ruizheng Wu, Jiyong Li, Ying-Cong Chen. GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors. International Conference on Learning Representations (ICLR), 2024.

Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Ying-Cong Chen. Denoising Diffusion Step-aware Models. International Conference on Learning Representations (ICLR), 2024.

Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin. Backdoor Contrastive Learning via Bi-level Trigger Optimization. International Conference on Learning Representations (ICLR), 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. In Proceedings of the IEEE International Conference on Computer Vision (ICCV) (Oral, Best Paper Final List, top 0.2%), 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.

Yixun Liang, Hao He, Shishi Xiao, Hao Lu, Ying-Cong Chen. Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets. arXiv Preprint, 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.