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2020 – today
- 2024
[c3]Yongcan Yu, Lijun Sheng, Ran He, Jian Liang:
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay. ECCV (81) 2024: 375-392- [c2]Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan:
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. ICLR 2024 - [c1]Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan:
Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization. ICML 2024 - [i11]Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation. CoRR abs/2401.06030 (2024) - [i10]Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan:
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. CoRR abs/2402.04087 (2024) - [i9]Yuting Xu, Jian Liang, Lijun Sheng, Xiao-Yu Zhang:
Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection. CoRR abs/2403.10261 (2024) - [i8]Yongcan Yu, Lijun Sheng, Ran He, Jian Liang:
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay. CoRR abs/2407.15773 (2024) - [i7]Shuo Lu, Yingsheng Wang, Lijun Sheng, Aihua Zheng, Lingxiao He, Jian Liang:
Recent Advances in OOD Detection: Problems and Approaches. CoRR abs/2409.11884 (2024) - 2023
- [j1]Yuhe Ding
, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation. Neural Networks 167: 92-103 (2023) - [i6]Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
AdaptGuard: Defending Against Universal Attacks for Model Adaptation. CoRR abs/2303.10594 (2023) - [i5]Yongcan Yu, Lijun Sheng, Ran He, Jian Liang:
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification. CoRR abs/2307.03133 (2023) - [i4]Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan:
Towards Realistic Unsupervised Fine-tuning with CLIP. CoRR abs/2308.12919 (2023) - [i3]Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, Jian Liang:
Unleashing the power of Neural Collapse for Transferability Estimation. CoRR abs/2310.05754 (2023) - [i2]Lijun Sheng, Zhengbo Wang, Jian Liang:
Self-training solutions for the ICCV 2023 GeoNet Challenge. CoRR abs/2311.16843 (2023) - 2022
- [i1]Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation. CoRR abs/2205.14566 (2022)
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