Hefei Mei

According to our database, Hefei Mei authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language Models.

Hefei Mei, Zirui Wang, Shen You, Minjing Dong, Chang Xu

CoRR, May, 2025

GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection.

Hefei Mei, Taijin Zhao, Shiyuan Tang, Heqian Qiu, Lanxiao Wang, Minjian Zhang, Fanman Meng, Hongliang Li

Neurocomputing, 2025

Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness.

Hefei Mei, Minjing Dong, Chang Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

VLM-guided Explicit-Implicit Complementary novel class semantic learning for few-shot object detection.

Taijin Zhao, Heqian Qiu, Yu Dai, Lanxiao Wang, Hefei Mei, Fanman Meng, Qingbo Wu, Hongliang Li

Expert Syst. Appl., 2024

Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning.

Jian Jiao, Yu Dai, Hefei Mei, Heqian Qiu, Chuanyang Gong, Shiyuan Tang, Xinpeng Hao, Hongliang Li

CoRR, 2024

Proposal-level Correction Guided by CLIP for Few-shot Object Detection.

Ruihang Wang, Taijin Zhao, Hefei Mei, Heqian Qiu, Lanxiao Wang, Hongliang Li

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

Video Class-Incremental Learning With Clip Based Transformer.

Shuyun Lu, Jian Jiao, Lanxiao Wang, Heqian Qiu, Xingtao Lin, Hefei Mei, Hongliang Li

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

DRDet: Dual-Angle Rotated Line Representation for Oriented Object Detection.

Minjian Zhang, Heqian Qiu, Hefei Mei, Lanxiao Wang, Fanman Meng, Linfeng Xu, Hongliang Li

IEEE Trans. Geosci. Remote. Sens., 2023

Novel-Registrable Weights and Region-Level Contrastive Learning for Incremental Few-shot Object Detection.

Shiyuan Tang, Hefei Mei, Heqian Qiu, Xinpeng Hao, Taijin Zhao, Benliu Qiu, Haoyang Cheng, Jian Jiao, Chuanyang Gong, Hongliang Li

Proceedings of the Neural Information Processing - 30th International Conference, 2023

PTCP: Alleviate Layer Collapse in Pruning at Initialization via Parameter Threshold Compensation and Preservation.

Xinpeng Hao, Shiyuan Tang, Heqian Qiu, Hefei Mei, Benliu Qiu, Jian Jiao, Chuanyang Gong, Hongliang Li

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

DE-CrossDet: Divisible and Extensible Crossline Representation for Object Detection.

Hefei Mei, Hongliang Li, Heqian Qiu, Jianhua Cui, Longrong Yang

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022