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ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis


May 18, 2023
Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu

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* https://github.com/skhu101/ConsistentNeRF 

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Random Smoothing Regularization in Kernel Gradient Descent Learning


May 12, 2023
Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao

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Boosting Visual-Language Models by Exploiting Hard Samples


May 09, 2023
Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li

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* 12 pages, 6 figures 

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ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning


Mar 30, 2023
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang

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Inducing Neural Collapse in Deep Long-tailed Learning


Feb 24, 2023
Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Lujia Pan, Yuan Yao

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* accepted by AISTATS 2023 

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Deciphering the Projection Head: Representation Evaluation Self-supervised Learning


Jan 28, 2023
Jiajun Ma, Tianyang Hu, Wenjia Wang

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ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization


Oct 17, 2022
Qishi Dong, Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li

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Continual Learning by Modeling Intra-Class Variation


Oct 11, 2022
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu

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* Technical Report (23 pages, 13 figures) 

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