| Sketch-based image retrieval via siamese convolutional neural network Y Qi, YZ Song, H Zhang, J Liu 2016 IEEE international conference on image processing (ICIP), 2460-2464, 2016 | 239 | 2016 |
| Making better use of edges via perceptual grouping Y Qi, YZ Song, T Xiang, H Zhang, T Hospedales, Y Li, J Guo Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 104 | 2015 |
| Sketchsegnet: A rnn model for labeling sketch strokes X Wu, Y Qi, J Liu, J Yang 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 51 | 2018 |
| Towards practical sketch-based 3d shape generation: The role of professional sketches Y Zhong, Y Qi, Y Gryaditskaya, H Zhang, YZ Song IEEE Transactions on Circuits and Systems for Video Technology 31 (9), 3518-3528, 2020 | 41 | 2020 |
| Toward fine-grained sketch-based 3D shape retrieval A Qi, Y Gryaditskaya, J Song, Y Yang, Y Qi, TM Hospedales, T Xiang, ... IEEE Transactions on Image Processing 30, 8595-8606, 2021 | 35 | 2021 |
| SketchHealer: A Graph-to-Sequence Network for Recreating Partial Human Sketches. G Su, Y Qi, K Pang, J Yang, YZ Song, C SketchX BMVC 2 (4), 5, 2020 | 31 | 2020 |
| Instance-level coupled subspace learning for fine-grained sketch-based image retrieval P Xu, Q Yin, Y Qi, YZ Song, Z Ma, L Wang, J Guo Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 29 | 2016 |
| SketchSegNet+: An end-to-end learning of RNN for multi-class sketch semantic segmentation Y Qi, ZH Tan Ieee Access 7, 102717-102726, 2019 | 28 | 2019 |
| Im2sketch: Sketch generation by unconflicted perceptual grouping Y Qi, J Guo, YZ Song, T Xiang, H Zhang, ZH Tan Neurocomputing 165, 338-349, 2015 | 28 | 2015 |
| Zero-shot everything sketch-based image retrieval, and in explainable style F Lin, M Li, D Li, T Hospedales, YZ Song, Y Qi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Sketching by perceptual grouping Y Qi, J Guo, Y Li, H Zhang, T Xiang, YZ Song 2013 IEEE International Conference on Image Processing, 270-274, 2013 | 26 | 2013 |
| Sketchlattice: Latticed representation for sketch manipulation Y Qi, G Su, PN Chowdhury, M Li, YZ Song Proceedings of the IEEE/CVF International Conference on Computer Vision, 953-961, 2021 | 21 | 2021 |
| Sketchknitter: Vectorized sketch generation with diffusion models Q Wang, H Deng, Y Qi, D Li, YZ Song The Eleventh International Conference on Learning Representations, 2023 | 20 | 2023 |
| S3Net:Graph Representational Network For Sketch Recognition L Yang, A Sain, L Li, Y Qi, H Zhang, YZ Song 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 16 | 2020 |
| Image retrieval by dense caption reasoning X Wei, Y Qi, J Liu, F Liu 2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017 | 13 | 2017 |
| Ctsd: A dataset for traffic sign recognition in complex real-world images Y Zhang, Z Wang, Y Qi, J Liu, J Yang 2018 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2018 | 10 | 2018 |
| Generative sketch healing Y Qi, G Su, Q Wang, J Yang, K Pang, YZ Song International Journal of Computer Vision 130 (8), 2006-2021, 2022 | 9 | 2022 |
| Diffsketching: Sketch control image synthesis with diffusion models Q Wang, D Kong, F Lin, Y Qi arXiv preprint arXiv:2305.18812, 2023 | 7 | 2023 |
| Detection-by-tracking of traffic signs in videos Y Zhang, Z Wang, R Song, C Yan, Y Qi Applied Intelligence, 1-17, 2022 | 7 | 2022 |
| A diffusion-refinement model for sketch-to-point modeling D Kong, Q Wang, Y Qi Proceedings of the Asian Conference on Computer Vision, 1522-1538, 2022 | 6 | 2022 |
Yi-Zhe SongSketchX Lab, CVSSP, University of Surrey在 surrey.ac.uk 的电子邮件经过验证
