| DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation Y Liu, J Yao, X Lu, R Xie, L Li Neurocomputing 338, 139-153, 2019 | 763 | 2019 |
| Efficient Training of Visual Transformers with Small Datasets Y Liu, E Sangineto, W Bi, N Sebe, B Lepri, M De Nadai NeurIPS, https://github.com/yhlleo/VTs-Drloc, 2021 | 208 | 2021 |
| RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes from High-Resolution Remotely Sensed Images Y Liu, J Yao, X Lu, M Xia, X Wang, Y Liu IEEE Transactions on Geoscience and Remote Sensing 57 (4), 2043 - 2056, 2019 | 193 | 2019 |
| Language models can see: Plugging visual controls in text generation Y Su, T Lan, Y Liu, F Liu, D Yogatama, Y Wang, L Kong, N Collier arXiv preprint arXiv:2205.02655, 2022 | 94 | 2022 |
| Fast 3D Line Segment Detection From Unorganized Point Cloud X Lu, Y Liu, K Li arXiv preprint arXiv:1901.02532, 2019 | 86 | 2019 |
| Pairwise Linkage for Point Cloud Segmentation X Lu, J Yao, J Tu, K Li, L Li, Y Liu ISPRS Annals, 2016 | 83 | 2016 |
| 2-Line Exhaustive Searching for Real-Time Vanishing Point Estimation in Manhattan World X Lu, J Yaoy, H Li, Y Liu WACV, 2017 | 81 | 2017 |
| Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach Y Liu, M De Nadai, D Cai, H Li, X Alameda-Pineda, N Sebe, B Lepri ACM MM, 2020 | 69 | 2020 |
| Automatic Multi-image Stitching for Concrete Bridge Inspection by Combining Point and Line Features R Xie, J Yao, K Liu, X Lu, Y Liu, M Xia, Q Zeng Automation in Construction 90, 265-280, 2018 | 59 | 2018 |
| Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation Y Liu, E Sangineto, Y Chen, L Bao, H Zhang, N Sebe, B Lepri, W Wang, ... CVPR, https://github.com/yhlleo/SmoothingLatentSpace, 2021 | 54 | 2021 |
| Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images L Ding, H Tang, Y Liu, Y Shi, L Bruzzone IEEE Transactions on Image Processing, 2021 | 52 | 2021 |
| Multi-Oriented and Scale-Invariant License Plate Detection Based on Convolutional Neural Networks J Han, J Yao, J Zhao, J Tu, Y Liu Sensors 19 (5), 1175, 2019 | 33 | 2019 |
| Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method Y Liu, W Bi, J Gao, X Liu, J Yao, S Shi EMNLP, 2018 | 31 | 2018 |
| Optimal Seamline Detection for Orthoimage Mosaicking by Combining Deep Convolutional Neural Network and Graph Cuts L Li, J Yao, Y Liu, W Yuan, S Shi, S Yuan Remote Sensing 9 (7), 701, 2017 | 30 | 2017 |
| GMM-UNIT: Unsupervised Multi-domain and Multi-modal Image-to-image Translation via Attribute Gaussian Mixture Modeling Y Liu, M De Nadai, J Yao, N Sebe, B Lepri, X Alameda-Pineda arXiv preprint arXiv:2003.06788, 2020 | 27 | 2020 |
| Assessing Dialogue Systems with Distribution Distances J Xiang, Y Liu, D Cai, H Li, D Lian, L Liu ACL (Findings), 2021 | 22 | 2021 |
| Jigsaw-vit: Learning jigsaw puzzles in vision transformer Y Chen, X Shen, Y Liu, Q Tao, JAK Suykens Pattern Recognition Letters 166, 53-60, 2023 | 21 | 2023 |
| Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps Y Liu, M De Nadai, G Zen, N Sebe, B Lepri ACM MM, 2019 | 18 | 2019 |
| Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers B Ren*, Y Liu*, Y Song, W Bi, R Cucchiara, N Sebe, W Wang CVPR, https://github.com/yhlleo/MJP, 2023 | 15 | 2023 |
| Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation P Ardino, Y Liu, E Ricci, B Lepri, MD Nadai ICPR, 2020 | 15 | 2020 |
Xiaohu LuMichigan State UniversityVerified email at msu.edu
