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Li Gu
Li Gu
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Year
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
Z Chi, L Gu, H Liu, Y Wang, Y Yu, J Tang
Conference on Computer Vision and Pattern Recognition (CVPR), 14166-14175, 2022
912022
Dmm-net: Differentiable mask-matching network for video object segmentation
X Zeng, R Liao, L Gu, Y Xiong, S Fidler, R Urtasun
International conference on computer vision (ICCV), 3929-3938, 2019
882019
Adversarial distillation of bayesian neural network posteriors
KC Wang, P Vicol, J Lucas, L Gu, R Grosse, R Zemel
International conference on machine learning (ICML), 5190-5199, 2018
712018
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
H Liu, L Gu, Z Chi, Y Wang, Y Yu, J Chen, J Tang
European Conference on Computer Vision (ECCV), 146-162, 2022
552022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
T Zhong, Z Chi, L Gu, Y Wang, Y Yu, J Tang
Conference on Neural Information Processing Systems (NeurIPS), 2022
202022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022
L Gu, Z Chi, H Liu, Y Yu, Y Wang
Computer Vision and Pattern Recognition Workshop (CVPRW), 2022
42022
Systems and methods for artificial-intelligence model training using unsupervised domain adaptation with multi-source meta-distillation
Z Chi, L Gu, T Zhong, Y Yu, Y Wang, J Tang
US Patent App. 17/966,568, 2024
2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
Z Chi, L Gu, T Zhong, H Liu, Y YU, KN Plataniotis, Y Wang
The Twelfth International Conference on Learning Representations, 2023
2023
Meta few-shot class incremental learning
Z Chi, L Gu, H Liu, Y Yu, Y Wang, J Tang
US Patent App. 17/527,295, 2023
2023
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation Supplementary Material
X Zeng, R Liao, L Gu, Y Xiong
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