Lijun Sheng

According to our database, Lijun Sheng authored at least 16 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection.

Yuting Xu, Jian Liang, Lijun Sheng, Xiaoyu Zhang

Int. J. Comput. Vis., December, 2024

Towards Compatible Fine-tuning for Vision-Language Model Updates.

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

CoRR, 2024

Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain Adaptation.

Jian Liang, Lijun Sheng, Hongmin Liu, Ran He

CoRR, 2024

Recent Advances in OOD Detection: Problems and Approaches.

Shuo Lu, Yingsheng Wang, Lijun Sheng, Aihua Zheng, Lingxiao He, Jian Liang

CoRR, 2024

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay.

Yongcan Yu, Lijun Sheng, Ran He, Jian Liang

CoRR, 2024

Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection.

Yuting Xu, Jian Liang, Lijun Sheng, Xiao-Yu Zhang

CoRR, 2024

Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation.

Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

CoRR, 2024

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization.

Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay.

Yongcan Yu, Lijun Sheng, Ran He, Jian Liang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation.

Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He

Neural Networks, October, 2023

Self-training solutions for the ICCV 2023 GeoNet Challenge.

Lijun Sheng, Zhengbo Wang, Jian Liang

CoRR, 2023

Unleashing the power of Neural Collapse for Transferability Estimation.

Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, Jian Liang

CoRR, 2023

Towards Realistic Unsupervised Fine-tuning with CLIP.

Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan

CoRR, 2023

Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification.

Yongcan Yu, Lijun Sheng, Ran He, Jian Liang

CoRR, 2023

AdaptGuard: Defending Against Universal Attacks for Model Adaptation.

Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

CoRR, 2023