Yahui Liu
Huawei
Huawei Industrial Park, Bantian, Longgang District, Shenzhen, China
Email: yahui.cvrs [at] gmail.com
About Me
Yahui Liu is now a Principal Engineer at Huawei, Shenzhen, China.
He got his certificate of Doctor Degree from the Multimedia and Human Understanding Group (MHUG)
at the Department of Information Engineering and Computer Science of the University of Trento, Italy, supervised by Prof. Nicu Sebe and Dr. Bruno Lepri , in 2022.
He passed his PhD thesis defense (committee: Vittorio Murino , Zhengyou Zhang , Elisa Ricci ).
Before that, he received B.Eng. degree in Photogrammetry and Remote Sensing and M.Eng. degree in Pattern Recognition and Intelligent System from Wuhan University in 2015 and 2018, respectively.
His research interests lie in the areas of Computer Vision and Natural Language Processing.
Recently, he has been working on Unsupervised Learning , Image Domain Translation , Vision Transformers , and Diffusion Models .
Research Experience
Huawei , Shenzhen, China. 2022 -- now
Image Generation and Enhancing (GANs and Diffusion Models).
Tencent AI Lab , Shenzhen, China. 2021 -- 2022
Mentors: Dr. Linchao Bao and Dr. Wei Bi .
GANs, Image Domain Translation.
FBK and MHUG , Trento, Italy. 12/2018 -- 06/2022
Mentors: Prof. Nicu Sebe and Dr. Bruno Lepri .
Deep learning, GANs, Cross-modal Representations, Image Domain Translation.
Tencent AI Lab , Shenzhen, China. 11/2017 -- 09/2018
Mentors: Dr. Wei Bi and Dr. Xiaojiang Liu .
Deep Learning, Neural Dialogue Generation.
Computer Vision and Remote Sensing (CVRS ) Lab, Wuhan, China. 03/2015 -- 06/2018
Mentor: Prof. Jian Yao .
Deep Learning, Remote Sensing.
News
7/2024: One paper was accepted to Machine Learning
2/2023: One paper was accepted to CVPR.
12/2022: One paper was accepted to PRL
8/2022: Started my journey in Huawei.
5/2022: Passed my PhD Thesis defense!
3/2022: One paper was accepted to TMM.
9/2021: One paper was accepted to NeurIPS.
3/2021: One paper was accepted to CVPR.
10/2020: One paper was accepted to ICPR.
7/2020: Two papers were accepted to ACM MM.
7/2019: One paper was accepted to ACM MM.
4/2019: One paper was accepted to Sensors.
1/2019: One paper was accepted to Neurocomputing.
12/2018: Started my new study journey in the University of Trento, Italy.
10/2018: One paper was accepted to TGRS.
8/2018: One paper was accepted to EMNLP.
✦ Conference
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers
Bin Ren*, Yahui Liu *, Yue Song, Wei Bi, Rita Cucchiara, Nicu Sebe and Wei Wang.
(*denotes equal contribution)
Appeared in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR ), 2023.
Paper
arXiv
Code
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu , Enver Sangineto, Wei Bi, Nicu Sebe, Bruno Lepri, Marco De Nadai.
Advances in Neural Information Processing Systems (NeurIPS ), 2021.
Paper
arXiv
Poster & Poster
Code
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation
Yahui Liu , Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai.
Appeared in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR ), 2021.
Paper
Supplementary
Video
Code
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
Yahui Liu , Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, and Bruno Lepri.
Appeared in ACM International Conference on Multimedia (ACM MM ), 2020.
Paper
arXiv
Code
Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation
Raul Gomez*, Yahui Liu *, Marco De Nadai, Dimosthenis Karatzas, Nicu Sebe, and Bruno Lepri.
(*denotes equal contribution)
Appeared in ACM International Conference on Multimedia (ACM MM ), 2020.
Paper
arXiv
Code
Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps
Yahui Liu , Marco De Nadai, Gloria Zen, Nicu Sebe, and Bruno Lepri.
Appeared in ACM International Conference on Multimedia (ACM MM ), 2019.
Paper
arXiv
Code & dataset
Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method
Yahui Liu , Victoria Bi, Jun Gao, Xiaojiang Liu, Jian Yao, and Shuming Shi.
Appeared in Conference on Empirical Methods in Natural Language Processing (EMNLP ), 2018.
Paper
Code & dataset
✦ Journal
Spatial Entropy as An Inductive Bias for Vision Transformers
Elia Peruzzo, Enver Sangineto, Yahui Liu , Marco De Nadai, Wei Bi, Bruno Lepri, Nicu Sebe.
Machine Learning , 2024. (Impact factor: 5.8).
Paper
arXiv
Code
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
Yingyi Chen, Xi Shen, Yahui Liu , Qinghua Tao, Johan AK Suykens.
Pattern Recognition Letters (PRL ), 2022. (Impact factor: 3.756).
Paper
arXiv
Code
ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation
Yahui Liu , Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai.
IEEE Transactions on Multimedia (TMM ), 2022. (Impact factor: 6.513).
Paper
arXiv
Code
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
Lei Ding, Hao Tang, Yahui Liu , Yilei Shi, Lorenzo Bruzzone.
IEEE Transactions on Image Processing (TIP ), Volume: 31, Pages: 678-690, 2021. (Impact factor: 10.86)
Paper
arXiv
Multi-Oriented and Scale-Invariant License Plate Detection Based on Convolutional Neural Networks
Jing Han, Jian Yao, Jiao Zhao, Jingmin Tu, and Yahui Liu .
Sensors , Volume: 19, Issue: 5, Page(s): 1175, 2019. (Impact factor: 3.576).
Paper
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation
Yahui Liu , Jian Yao, Rengping Xie, and Li Li.
Neurocomputing , Volume: 338, Page(s): 139-153, 2019. (Impact factor: 5.719).
Paper
Code & dataset
RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes From High-Resolution Remotely Sensed Images
Yahui Liu , Jian Yao, Xiaohu Lu, Menghan Xia, Xingbo Wang, and Yuan Liu.
IEEE Transactions on Geoscience and Remote Sensing(TGRS ), Volume: 57, Issue: 4, Page(s): 2043-2056, 2019. (Impact factor: 5.63).
Paper
Code & dataset
Automatic Multi-image Stitching for Concrete Bridge Inspection by Combining Point and Line Features
Renping Xie, Jian Yao, Kang Liu, Xiaohu Lu, Yahui Liu , Menghan Xia, and Qifei Zeng.
Automation in Construction , Volume: 90, Page(s): 265-280, 2018. (Impact factor: 7.700).
Paper
Optimal Seamline Detection for Orthoimage Mosaicking by Combining Deep Convolutional Neural Network and Graph Cuts
Li Li, Jian Yao, Yahui Liu , Wei Yuan, Shuzhu Shi, and Shenggu Yuan.
Remote Sensing , Volume: 9, Page(s): 701, 2017. (Impact factor: 4.848).
Paper
Academic Services
Conference Review:
The Association for the Advancement of Artificial Intelligence (AAAI 2025 )
The 31th ACM International Conference on Multimedia (ACM MM 2024 )
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024 )
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2024 )
The 31th ACM International Conference on Multimedia (ACM MM 2023 )
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023 )
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023 )
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022 )
European Conference on Computer Vision (ECCV 2022 )
The 30th ACM International Conference on Multimedia (ACM MM 2022 )
The Thirty-ninth International Conference on Machine Learning (ICML 2022 )
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022 )
The 31th International Joint Conference on Artificial Intelligence (IJCAI 2022 )
The 29th ACM International Conference on Multimedia (ACM MM 2021 )
IEEE/CVF International Conference on Computer Vision (ICCV 2021 )
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021 )
The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021 )
The 28th ACM International Conference on Multimedia (ACM MM 2020 )
Journal Review:
International Journal of Computer Vision (IJCV )
IEEE Transactions on Industrial Informatics (TII )
IEEE Geoscience and Remote Sensing Letters (GRSL )
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS )
IEEE Transactions on Neural Networks and Learning Systems (TNNLS )
Machine Vision and Applications (MVAP )
IEEE Transactions on Multimedia (TMM )
Pattern Recognition Letters (PRL )
Information Fusion
Selected Awards
Pengcheng Excellent Talents (鹏城优才) from Shenzhen, China, 2024
Top Minds (天才少年) offer from Huawei, China, 2022
Technical Expert (技术大咖) offer from Tencent AI Lab, China, 2021
Scholarship of the University of Trento, Italy, 2018
Excellent Thesis, Hubei Province, China, 2015 (ratio: 3%)
Excellent Undergraduate Students, Wuhan University, China, 2013,2014
©Yahui Liu • Updating Constantly