| Learning to prompt for vision-language models K Zhou, J Yang, CC Loy, Z Liu International Journal of Computer Vision (IJCV), 2022 | 2236 | 2022 |
| Conditional Prompt Learning for Vision-Language Models K Zhou, J Yang, CC Loy, Z Liu The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 1431 | 2022 |
| Generalized Out-of-Distribution Detection: A Survey J Yang, K Zhou, Y Li, Z Liu International Journal of Computer Vision (IJCV), 2024 | 930 | 2024 |
| Mimic-it: Multi-modal in-context instruction tuning B Li, Y Zhang, L Chen, J Wang, F Pu, J Yang, C Li, Z Liu arXiv preprint arXiv:2306.05425, 2023 | 592 | 2023 |
| OpenOOD: Benchmarking Generalized Out-of-Distribution Detection J Yang, P Wang, D Zou, Z Zhou, K Ding, W Peng, H Wang, G Chen, B Li, ... NeurIPS'22 Datasets and Benchmarks Track, 2022 | 220 | 2022 |
| Semantically Coherent Out-of-Distribution Detection J Yang, H Wang, L Feng, X Yan, H Zheng, W Zhang, Z Liu The IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 140 | 2021 |
| Panoptic Scene Graph Generation J Yang, Y Zhe Ang, Z Guo, K Zhou, W Zhang, Z Liu European Conference on Computer Vision (ECCV), 2022 | 111 | 2022 |
| OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection J Zhang, J Yang, P Wang, H Wang, Y Lin, H Zhang, Y Sun, X Du, K Zhou, ... Data-centric Machine Learning Research (DMLR), 2024 | 93 | 2024 |
| Sparse Mixture-of-Experts are Domain Generalizable Learners B Li, Y Shen, J Yang, Y Wang, J Ren, T Che, J Zhang, Z Liu ICLR 2023, 2022 | 60 | 2022 |
| Full-spectrum out-of-distribution detection J Yang, K Zhou, Z Liu International Journal of Computer Vision 131 (10), 2607-2622, 2023 | 54 | 2023 |
| Octopus: Embodied vision-language programmer from environmental feedback J Yang, Y Dong, S Liu, B Li, Z Wang, C Jiang, H Tan, J Kang, Y Zhang, ... ECCV 2024, 2024 | 53 | 2024 |
| Large language models are visual reasoning coordinators L Chen, B Li, S Shen, J Yang, C Li, K Keutzer, T Darrell, Z Liu NeurIPS 2023, 2023 | 46* | 2023 |
| Otterhd: A high-resolution multi-modality model B Li, P Zhang, J Yang, Y Zhang, F Pu, Z Liu arXiv preprint arXiv:2311.04219, 2023 | 41 | 2023 |
| Panoptic video scene graph generation J Yang, W Peng, X Li, Z Guo, L Chen, B Li, Z Ma, K Zhou, W Zhang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 40 | 2023 |
| Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies H Wang, T Yue, J Yang, W Wu, EP Xing BMC bioinformatics 20, 1-11, 2019 | 25 | 2019 |
| Webly supervised image classification with self-contained confidence J Yang, L Feng, W Chen, X Yan, H Zheng, P Luo, W Zhang European Conference on Computer Vision (ECCV), 2020 | 21 | 2020 |
| Multiple confounders correction with regularized linear mixed effect models, with application in biological processes H Wang, J Yang IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016 | 19 | 2016 |
| Lmms-eval: Reality check on the evaluation of large multimodal models K Zhang, B Li, P Zhang, F Pu, JA Cahyono, K Hu, S Liu, Y Zhang, J Yang, ... arXiv preprint arXiv:2407.12772, 2024 | 17 | 2024 |
| Towards Language-Driven Video Inpainting via Multimodal Large Language Models J Wu, X Li, C Si, S Zhou, J Yang, J Zhang, Y Li, K Chen, Y Tong, Z Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 17 | 2024 |
| Webly supervised image classification with metadata: Automatic noisy label correction via visual-semantic graph J Yang, W Chen, L Feng, X Yan, H Zheng, W Zhang ACM International Conference on Multimedia, 83-91, 2020 | 16 | 2020 |
Ziwei LiuAssistant Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
