Haori Lu

According to our database, Haori Lu authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning.

Linlan Huang, Xusheng Cao, Haori Lu, Yifan Meng, Fei Yang, Xialei Liu

CoRR, July, 2025

Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning.

Xusheng Cao, Haori Lu, Linlan Huang, Fei Yang, Xialei Liu, Ming-Ming Cheng

CoRR, March, 2025

Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution.

Haori Lu, Xusheng Cao, Linlan Huang, Enguang Wang, Fei Yang, Xialei Liu

CoRR, March, 2025

Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery.

Enguang Wang, Zhimao Peng, Zhengyuan Xie, Haori Lu, Fei Yang, Xialei Liu

CoRR, March, 2025

Class Incremental Learning for Image Classification With Out-of-Distribution Task Identification.

Xusheng Cao, Haori Lu, Xialei Liu, Ming-Ming Cheng

IEEE Trans. Multim., 2025

2024

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion.

Linlan Huang, Xusheng Cao, Haori Lu, Xialei Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Generative Multi-modal Models are Good Class-Incremental Learners.

Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Class Incremental Learning with Pre-trained Vision-Language Models.

Xialei Liu, Xusheng Cao, Haori Lu, Jia-Wen Xiao, Andrew D. Bagdanov, Ming-Ming Cheng

CoRR, 2023