Block-wisely supervised neural architecture search with knowledge distillation C Li, J Peng, L Yuan, G Wang, X Liang, L Lin, X Chang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1989-1998, 2020 | 228 | 2020 |
Dynamic slimmable network C Li, G Wang, B Wang, X Liang, Z Li, X Chang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8607-8617, 2021 | 164 | 2021 |
BossNAS: Exploring hybrid CNN-transformers with block-wisely self-supervised neural architecture search C Li, T Tang, G Wang, J Peng, B Wang, X Liang, X Chang IEEE International Conference on Computer Vision (ICCV), 12281-12291, 2021 | 128 | 2021 |
DS-Net++: Dynamic weight slicing for efficient inference in CNNs and vision transformers C Li, G Wang, B Wang, X Liang, Z Li, X Chang IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 | 49 | 2022 |
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency P Ren, C Li, H Xu, Y Zhu, G Wang, J Liu, X Chang, X Liang The Eleventh International Conference on Learning Representations (ICLR), 2023 | 44 | 2023 |
Automated Progressive Learning for Efficient Training of Vision Transformers C Li, B Zhuang, G Wang, X Liang, X Chang, Y Yang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 40 | 2022 |
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism B Yang, X Deng, H Shi, C Li, G Zhang, H Xu, S Zhao, L Lin, X Liang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 37 | 2022 |
Beyond Fixation: Dynamic Window Visual Transformer P Ren, C Li, G Wang, Y Xiao, Q Du, X Liang, X Chang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 36 | 2022 |
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search M Huang, Z Huang, C Li, X Chen, H Xu, Z Li, X Liang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 22 | 2022 |
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift J Peng, J Zhang, C Li, G Wang, X Liang, L Lin IEEE International Conference on Computer Vision (ICCV), 12354-12364, 2021 | 19 | 2021 |
Mmvg-inf-etrol@ trecvid 2019: Activities in extended video X Chang, W Liu, PY Huang, C Li, F Zhu, M Han, M Li, M Ma, S Hu, G Kang, ... TREC Video Retrieval Evaluation 2019, 2019 | 17 | 2019 |
Dynamic Slimmable Denoising Network Z Jiang, C Li, X Chang, L Chen, J Zhu, Y Yang IEEE Transactions on Image Processing 32, 1583-1598, 2023 | 15 | 2023 |
Mixreorg: Cross-modal mixed patch reorganization is a good mask learner for open-world semantic segmentation K Cai, P Ren, Y Zhu, H Xu, J Liu, C Li, G Wang, X Liang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |
Knowledge driven temporal activity localization C Li, Z Li, Z Ge, M Li Journal of Visual Communication and Image Representation 64, 102628, 2019 | 10 | 2019 |
Ds-net++: Dynamic weight slicing for efficient inference in cnns and transformers C Li, G Wang, B Wang, X Liang, Z Li, X Chang arXiv preprint arXiv:2109.10060, 2021 | 8 | 2021 |
No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling X Xu, C Li, Y Chen, X Chang, J Liu, S Wang Australasian Joint Conference on Artificial Intelligence, 28-41, 2023 | 3 | 2023 |
Generalizable memory-driven transformer for multivariate long sequence time-series forecasting X Zhao, R Liu, M Li, G Shi, M Han, C Li, L Chen, X Chang arXiv preprint arXiv:2207.07827, 2022 | 3 | 2022 |
Growclip: Data-aware automatic model growing for large-scale contrastive language-image pre-training X Deng, H Shi, R Huang, C Li, H Xu, J Han, J Kwok, S Zhao, W Zhang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
An improved face synthesis model for two-pathway generative adversarial network C Li, Z Huang Proceedings of the 2019 11th International Conference on Machine Learning …, 2019 | 2 | 2019 |
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions G Wang*, C Li*, L Yuan, J Peng, X Xian, X Liang, X Chang, L Lin IEEE Transactions on Pattern Analysis & Machine Intelligence, 1-18, 2023 | 1 | 2023 |