| Co-scale conv-attentional image transformers W Xu, Y Xu, T Chang, Z Tu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 391 | 2021 |
| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, SA Jacobs, AA Awan, J Aneja, A Awadallah, H Awadalla, ... arXiv preprint arXiv:2404.14219, 2024 | 288 | 2024 |
| Pose recognition with cascade transformers K Li, S Wang, X Zhang, Y Xu, W Xu, Z Tu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 250 | 2021 |
| Line segment detection using transformers without edges Y Xu, W Xu, D Cheung, Z Tu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 126 | 2021 |
| Guided variational autoencoder for disentanglement learning Z Ding, Y Xu, W Xu, G Parmar, Y Yang, M Welling, Z Tu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 126 | 2020 |
| Attentional constellation nets for few-shot learning W Xu, Y Xu, H Wang, Z Tu International conference on learning representations, 2021 | 116 | 2021 |
| Wasserstein introspective neural networks K Lee, W Xu, F Fan, Z Tu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 60 | 2018 |
| Instance segmentation with mask-supervised polygonal boundary transformers J Lazarow, W Xu, Z Tu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |
| Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks B Xiao, H Wu, W Xu, X Dai, H Hu, Y Lu, M Zeng, C Liu, L Yuan CVPR 2024, 2023 | 29 | 2023 |
| 3D volumetric modeling with introspective neural networks W Huang, B Lai, W Xu, Z Tu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8481-8488, 2019 | 21 | 2019 |
| Convolutions and self-attention: Re-interpreting relative positions in pre-trained language models TA Chang, Y Xu, W Xu, Z Tu ACL 2021, 2021 | 14 | 2021 |
| Geometry-Aware End-to-End Skeleton Detection. W Xu, G Parmar, Z Tu BMVC 2 (3), 7, 2019 | 12 | 2019 |
| Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge Y Lin, Y Li, D Chen, W Xu, R Clark, P Torr, L Yuan arXiv preprint arXiv:2407.04681, 2024 | 3 | 2024 |
| Exploring Visual Structures in Deep Representation Learning W Xu University of California, San Diego, 2022 | | 2022 |
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San DiegoBestätigte E-Mail-Adresse bei ucsd.edu
