Articles amb requisits d'accés públic - Ke Li (李珂)Més informació
Disponibles en algun lloc: 27
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer
M Chen, M Lin, K Li, Y Shen, Y Wu, F Chao, R Ji
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI, Oral), 2022
Requisits: National Natural Science Foundation of China
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Y Xu, Z Zhang, M Zhang, K Sheng, K Li, W Dong, L Zhang, C Xu, X Sun
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021
Requisits: National Natural Science Foundation of China
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
F Yang, K Li, Z Zhong, Z Luo, X Sun, H Cheng, X Guo, F Huang, R Ji, S Li
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
Requisits: National Natural Science Foundation of China
Woodpecker: Hallucination correction for multimodal large language models
S Yin, C Fu, S Zhao, T Xu, H Wang, D Sui, Y Shen, K Li, X Sun, E Chen
arXiv preprint arXiv:2310.16045, 2023
Requisits: National Natural Science Foundation of China
Toward an Expert Level of Lung Cancer Detection and Classification using a Deep Convolutional Neural Network
C Zhang, X Sun, K Dang, K Li, X Guo, J Chang, Z Yu, F Huang, Y Wu, ...
The Oncologist 24 (9), 1159-1165, 2019
Requisits: National Natural Science Foundation of China
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning
J Wang, Y Gao, K Li, Y Lin, AJ Ma, X Sun
Computer Vision and Pattern Recognition (CVPR), 2020
Requisits: National Natural Science Foundation of China
Training-free Transformer Architecture Search
Q Zhou, K Sheng, X Zheng, K Li, X Sun, Y Tian, J Chen, R Ji
Computer Vision and Pattern Recognition (CVPR, Oral), 2022
Requisits: National Natural Science Foundation of China
Learning Best Combination for Efficient N: M Sparsity
Y Zhang, M Lin, Z Lin, Y Luo, K Li, F Chao, Y Wu, R Ji
Advances in Neural Information Processing Systems (NeurIPS), 2022
Requisits: US National Science Foundation, National Natural Science Foundation of China
DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Y Gao, JX Zhuang, S Lin, H Cheng, X Sun, K Li, C Shen
European Conference on Computer Vision (ECCV, Oral), 237-253, 2022
Requisits: National Natural Science Foundation of China
Semi-Supervised Adversarial Monocular Depth Estimation
R Ji, K Li, Y Wang, X Sun, F Guo, X Guo, Y Wu, F Huang, J Luo
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Requisits: National Natural Science Foundation of China
Long-Tailed Class Incremental Learning
X Liu, YS Hu, XS Cao, AD Bagdanov, K Li, MM Cheng
European Conference on Computer Vision (ECCV), 495-512, 2022
Requisits: National Natural Science Foundation of China, European Commission
Filter Grafting for Deep Neural Networks
F Meng, H Cheng, K Li, Z Xu, R Ji, X Sun, G Lu
Computer Vision and Pattern Recognition (CVPR), 2020
Requisits: National Natural Science Foundation of China
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
N Wang, S Lin, X Li, K Li, Y Shen, Y Gao, L Ma
IEEE Transactions on Medical Imaging, 2022
Requisits: National Natural Science Foundation of China
ARM: Any-Time Super-Resolution Method
B Chen, M Lin, K Sheng, M Zhang, P Chen, K Li, L Cao, R Ji
European Conference on Computer Vision (ECCV), 2022
Requisits: National Natural Science Foundation of China
Multi-modal Queried Object Detection in the Wild
Y Xu, M Zhang, C Fu, P Chen, X Yang, K Li, C Xu
Advances in Neural Information Processing Systems (NeurIPS), 2023
Requisits: National Natural Science Foundation of China
Aligning and Prompting Everything All at Once for Universal Visual Perception
Y Shen, C Fu, P Chen, M Zhang, K Li, X Sun, Y Wu, S Lin, R Ji
Computer Vision and Pattern Recognition (CVPR), 2023
Requisits: National Natural Science Foundation of China
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
Y Zhong, M Lin, X Li, K Li, Y Shen, F Chao, Y Wu, R Ji
European Conference on Computer Vision (ECCV), 2022
Requisits: National Natural Science Foundation of China
Architecture Disentanglement for Deep Neural Networks
J Hu, L Cao, Q Ye, T Tong, SC Zhang, K Li, F Huang, R Ji, L Shao
International Conference on Computer Vision (ICCV, Oral), 2020
Requisits: National Natural Science Foundation of China
Fine-grained Data Distribution Alignment for Post-Training Quantization
Y Zhong, M Lin, M Chen, K Li, Y Shen, F Chao, Y Wu, F Huang, R Ji
European Conference on Computer Vision (ECCV), 2021
Requisits: National Natural Science Foundation of China
Self-supervised Models are Good Teaching Assistants for Vision Transformers
H Wu, Y Gao, Y Zhang, S Lin, Y Xie, X Sun, K Li
International Conference on Machine Learning (ICML), 24031-24042, 2022
Requisits: National Natural Science Foundation of China
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