Learning to prompt for vision-language models K Zhou, J Yang, CC Loy, Z Liu International Journal of Computer Vision (IJCV), 2022 | 1496 | 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 | 942 | 2022 |
Generalized Out-of-Distribution Detection: A Survey J Yang, K Zhou, Y Li, Z Liu International Journal of Computer Vision (IJCV), 2024 | 681 | 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 | 399 | 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 | 149 | 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 | 112 | 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 | 76 | 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, ... arXiv preprint arXiv:2306.09301, 2023 | 45 | 2023 |
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 | 36 | 2022 |
Full-spectrum out-of-distribution detection J Yang, K Zhou, Z Liu International Journal of Computer Vision 131 (10), 2607-2622, 2023 | 28 | 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, ... arXiv preprint arXiv:2310.08588, 2023 | 26 | 2023 |
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 | 25* | 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 | 25 | 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 | 24 | 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 | 20 | 2020 |
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 | 18 | 2023 |
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 | 18 | 2016 |
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 | 15 | 2020 |
Enhancing geometric deep learning via graph filter deconvolution J Yang, S Segarra IEEE Global Conference on Signal and Information Processing (GlobalSIP), 758-762, 2018 | 13 | 2018 |
GIST: Distributed training for large-scale graph convolutional networks CR Wolfe, J Yang, F Liao, A Chowdhury, C Dun, A Bayer, S Segarra, ... Journal of Applied and Computational Topology, 1-53, 2023 | 12 | 2023 |