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Jian Liang

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Which Model to Transfer? A Survey on Transferability Estimation

Feb 23, 2024
Yuhe Ding, Bo Jiang, Aijing Yu, Aihua Zheng, Jian Liang

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A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Feb 06, 2024
Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan

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Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models

Feb 06, 2024
Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

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Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks

Feb 05, 2024
Yanbo Wang, Jian Liang, Ran He

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Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning

Jan 04, 2024
Kuangpu Guo, Yuhe Ding, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

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Self-training solutions for the ICCV 2023 GeoNet Challenge

Nov 28, 2023
Lijun Sheng, Zhengbo Wang, Jian Liang

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Unleashing the power of Neural Collapse for Transferability Estimation

Oct 09, 2023
Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, Jian Liang

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Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation

Sep 25, 2023
Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang

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Towards Realistic Unsupervised Fine-tuning with CLIP

Aug 24, 2023
Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan

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DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Aug 16, 2023
Shengming Yin, Chenfei Wu, Jian Liang, Jie Shi, Houqiang Li, Gong Ming, Nan Duan

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