| Pointconv: Deep convolutional networks on 3d point clouds W Wu, Z Qi, L Fuxin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 9621-9630, 2019 | 1758 | 2019 |
| T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models C Mou, X Wang, L Xie, Y Wu, J Zhang, Z Qi, Y Shan Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4296-4304, 2024 | 458 | 2024 |
| Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality Z Qi, T Wang, G Song, W Hu, X Li, Z Zhang IEEE Transactions on Knowledge and Data Engineering (TKDE), doi: 10.1109 …, 2018 | 265 | 2018 |
| Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing M Cao, X Wang, Z Qi, Y Shan, X Qie, Y Zheng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 171 | 2023 |
| Visualizing deep networks by optimizing with integrated gradients Z Qi, S Khorram, F Li Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2019 | 127 | 2019 |
| Open-book Video Captioning with Retrieve-Copy-Generate Network Z Zhang, Z Qi, C Yuan, Y Shan, B Li, Y Deng, W Hu IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021 | 99 | 2021 |
| LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation G Zheng, X Zhou, X Li, Z Qi, Y Shan, X Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023 | 65 | 2023 |
| Embedding Deep Networks into Visual Explanations Z Qi, S Khorram, F Li Artificial Intelligence (AIJ), 2020 | 36 | 2020 |
| Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution L Xie, X Wang, C Dong, Z Qi, Y Shan Thirty-fifth Conference on Neural Information Processing Systems (NIPS 2021), 2021 | 35 | 2021 |
| Multi-task medical concept normalization using multi-view convolutional neural network Y Luo, G Song, P Li, Z Qi Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018 | 32 | 2018 |
| Photomaker: Customizing realistic human photos via stacked id embedding Z Li, M Cao, X Wang, Z Qi, MM Cheng, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 28 | 2024 |
| Mining partially annotated images Z Qi, M Yang, Z Zhang, Z Zhang ACM international conference on Knowledge discovery and data mining (KDD …, 2011 | 27 | 2011 |
| Semantic-Guided Relation Propagation Network for Few-shot Action Recognition X Wang*, W Ye*, Z Qi, X Zhao, G Wang, Y Shan, H Wang The 29th ACM international conference on Multimedia (ACM MM 2021), 2021 | 20 | 2021 |
| Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval Y Chen, J Wang, L Lin, Z Qi*, J Ma, Y Shan Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023 | 14 | 2023 |
| Learning Explainable Embeddings for Deep Networks Z Qi, F Li NIPS 2017 workshop: Interpreting, Explaining and Visualizing Deep Learning …, 2017 | 13 | 2017 |
| Task-aware dual-representation network for few-shot action recognition X Wang, W Ye, Z Qi, G Wang, J Wu, Y Shan, X Qie, H Wang IEEE Transactions on Circuits and Systems for Video Technology 33 (10), 5932 …, 2023 | 11 | 2023 |
| Efficient u-transformer with boundary-aware loss for action segmentation D Du, B Su, Y Li, Z Qi, L Si, Y Shan arXiv preprint arXiv:2205.13425 3 (11), 2022 | 11 | 2022 |
| BTS: A Bi-lingual Benchmark for Text Segmentation in the Wild X Xu, Z Qi*, J Ma, H Zhang, Y Shan, X Qie IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022 | 11 | 2022 |
| Interactive Naming for Explaining Deep Neural Networks: A Formative Study M Hamidi-Haines, Z Qi, A Fern, F Li, P Tadepalli ACM IUI 2019 Workshops, 2018 | 11 | 2018 |
| Multi-view learning from imperfect tagging Z Qi, M Yang, Z Zhang, Z Zhang The 20th ACM international conference on Multimedia (ACM MM), 479-488, 2012 | 10 | 2012 |
Ying ShanDistinguished Scientist at Tencent, Director of ARC Lab & AI Lab CVC在 tencent.com 的电子邮件经过验证
