Підписатись
Jiequan Cui
Jiequan Cui
Ph.D student in CUHK
Підтверджена електронна адреса в link.cuhk.edu.hk - Домашня сторінка
Назва
Посилання
Посилання
Рік
Improving Calibration for Long-Tailed Recognition
Z Zhong, J Cui, S Liu, J Jia
CVPR 2021, 16489-16498, 2021
3782021
Parametric Contrastive Learning
J Cui, Z Zhong, S Liu, B Yu, J Jia
ICCV 2021, 2021
3522021
Learnable boundary guided adversarial training
J Cui, S Liu, L Wang, J Jia
ICCV 2021, 2020
1692020
ResLT: Residual Learning for Long-tailed Recognition
J Cui, S Liu, Z Tian, Z Zhong, J Jia
TPAMI 2022, 2021
1562021
Fast and practical neural architecture search
J Cui, P Chen, R Li, S Liu, X Shen, J Jia
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
812019
Generalized Parametric Contrastive Learning
J Cui, Z Zhong, Z Tian, S Liu, B Yu, J Jia
TPAMI 2023, 2022
612022
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
Z Zhong*, J Cui*, Y Yang*, X Wu, X Qi, X Zhang, J Jia
CVPR 2023, 2023
532023
Decoupled kullback-leibler divergence loss
J Cui, Z Tian, Z Zhong, X Qi, B Yu, H Zhang
NeurIPS 2024, 2023
402023
Learning Context-aware Classifier for Semantic Segmentation
Z Tian, J Cui, L Jiang, X Qi, X Lai, Y Chen, S Liu, J Jia
AAAI 2023 40, 42, 2023
262023
Region rebalance for long-tailed semantic segmentation
J Cui, Y Yuan, Z Zhong, Z Tian, H Hu, S Lin, J Jia
arXiv preprint arXiv:2204.01969, 2022
142022
Doubly Abductive Counterfactual Inference for Text-based Image Editing
X Song, J Cui, H Zhang, J Chen, R Hong, YG Jiang
CVPR 2024, 2024
92024
Rebalanced siamese contrastive mining for long-tailed recognition
Z Zhong, J Cui, Z Li, E Lo, J Sun, J Jia
arXiv preprint arXiv:2203.11506, 2022
72022
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
J Cui, B Zhu, X Wen, X Qi, B Yu, H Zhang
CVPR 2024, 2024
52024
Improving calibration for long-tailed recognition. In 2021 IEEE
Z Zhong, J Cui, S Liu, J Jia
CVF Conference on Computer Vision and Pattern Recognition, 2021
42021
Learnable boundary guided adversarial training. In 2021 IEEE
J Cui, S Liu, L Wang, J Jia
CVF International Conference on Computer Vision, ICCV, 10-17, 2021
42021
Adversarial attacks on ml defense models competition
Y Dong, QA Fu, X Yang, W Xiang, T Pang, H Su, J Zhu, J Tang, Y Chen, ...
arXiv preprint arXiv:2110.08042, 2021
32021
Decoupled Kullback-Leibler Divergence Loss (2023)
J Cui, Z Tian, Z Zhong, X Qi, B Yu, H Zhang
URL https://arxiv. org/abs/2305.13948, 0
2
Instruction Tuning-free Visual Token Complement for Multimodal LLMs
D Wang, J Cui, M Li, W Lin, B Chen, H Zhang
ECCV 2024, 2024
12024
Pushing Rendering Boundaries: Hard Gaussian Splatting
Q Xu, J Cui, X Yi, Y Wang, Y Zhou, YS Ong, H Zhang
arXiv preprint arXiv:2412.04826, 2024
2024
LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair
X Song, J Cui, H Zhang, J Shi, J Chen, C Zhang, YG Jiang
arXiv preprint arXiv:2411.19156, 2024
2024
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