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ORCIDJiequan Cui
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2020 – today
- 2024
[j2]Jiequan Cui
, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia:
Generalized Parametric Contrastive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7463-7474 (2024)- [c12]Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, Yu-Gang Jiang:
Doubly Abductive Counterfactual Inference for Text-Based Image Editing. CVPR 2024: 9162-9171 - [c11]Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. CVPR 2024: 23283-23292 - [c10]Dongsheng Wang, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen, Hanwang Zhang:
Instruction Tuning-Free Visual Token Complement for Multimodal LLMs. ECCV (81) 2024: 446-462 - [c9]Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Decoupled Kullback-Leibler Divergence Loss. NeurIPS 2024 - [c8]Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su:
Typicalness-Aware Learning for Failure Detection. NeurIPS 2024 - [c7]Beier Zhu, Jiequan Cui, Hanwang Zhang:
Robust Fine-tuning of Zero-shot Models via Variance Reduction. NeurIPS 2024 - [i19]Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. CoRR abs/2402.18133 (2024) - [i18]Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, Yu-Gang Jiang:
Doubly Abductive Counterfactual Inference for Text-based Image Editing. CoRR abs/2403.02981 (2024) - [i17]Dongsheng Wang, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen, Hanwang Zhang:
Instruction Tuning-free Visual Token Complement for Multimodal LLMs. CoRR abs/2408.05019 (2024) - [i16]Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su:
Typicalness-Aware Learning for Failure Detection. CoRR abs/2411.01981 (2024) - [i15]Beier Zhu, Jiequan Cui, Hanwang Zhang:
Robust Fine-tuning of Zero-shot Models via Variance Reduction. CoRR abs/2411.06966 (2024) - [i14]Yuan Zhou, Qingshan Xu, Jiequan Cui, Junbao Zhou, Jing Zhang, Richang Hong, Hanwang Zhang:
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction. CoRR abs/2411.16170 (2024) - [i13]Xue Song, Jiequan Cui, Hanwang Zhang, Jiaxin Shi, Jingjing Chen, Chi Zhang, Yu-Gang Jiang:
LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair. CoRR abs/2411.19156 (2024) - [i12]Qingshan Xu, Jiequan Cui, Xuanyu Yi, Yuxuan Wang, Yuan Zhou, Yew-Soon Ong, Hanwang Zhang:
Pushing Rendering Boundaries: Hard Gaussian Splatting. CoRR abs/2412.04826 (2024) - 2023
- [j1]Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia:
ResLT: Residual Learning for Long-Tailed Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3695-3706 (2023) - [c6]Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia:
Learning Context-Aware Classifier for Semantic Segmentation. AAAI 2023: 2438-2446 - [c5]Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia:
Understanding Imbalanced Semantic Segmentation Through Neural Collapse. CVPR 2023: 19550-19559 - [i11]Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia:
Understanding Imbalanced Semantic Segmentation Through Neural Collapse. CoRR abs/2301.01100 (2023) - [i10]Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia:
Learning Context-aware Classifier for Semantic Segmentation. CoRR abs/2303.11633 (2023) - [i9]Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Decoupled Kullback-Leibler Divergence Loss. CoRR abs/2305.13948 (2023) - 2022
- [i8]Zhisheng Zhong, Jiequan Cui, Eric Lo, Zeming Li, Jian Sun, Jiaya Jia:
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition. CoRR abs/2203.11506 (2022) - [i7]Jiequan Cui, Yuhui Yuan, Zhisheng Zhong, Zhuotao Tian, Han Hu, Stephen Lin, Jiaya Jia:
Region Rebalance for Long-Tailed Semantic Segmentation. CoRR abs/2204.01969 (2022) - [i6]Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia:
Generalized Parametric Contrastive Learning. CoRR abs/2209.12400 (2022) - 2021
- [c4]Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia:
Improving Calibration for Long-Tailed Recognition. CVPR 2021: 16489-16498 - [c3]Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia:
Parametric Contrastive Learning. ICCV 2021: 695-704 - [c2]Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia:
Learnable Boundary Guided Adversarial Training. ICCV 2021: 15701-15710 - [i5]Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia:
ResLT: Residual Learning for Long-tailed Recognition. CoRR abs/2101.10633 (2021) - [i4]Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia:
Improving Calibration for Long-Tailed Recognition. CoRR abs/2104.00466 (2021) - [i3]Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia:
Parametric Contrastive Learning. CoRR abs/2107.12028 (2021) - [i2]Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen:
Adversarial Attacks on ML Defense Models Competition. CoRR abs/2110.08042 (2021) - 2020
- [i1]Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia:
Learnable Boundary Guided Adversarial Training. CoRR abs/2011.11164 (2020)
2010 – 2019
- 2019
- [c1]Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Fast and Practical Neural Architecture Search. ICCV 2019: 6508-6517
Coauthor Index
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