A reliable integrated car anti-theft system in VANET. - Chin-Ling Chen; Yong-Yuan Deng; Jia-Qin Zhang; Xin-Wei He; Jing-Xiang Chen; Cheng-Ze Lu (ICCE-TW, 2019)

Highly Efficient Salient Object Detection with 100K Parameters. - Shanghua Gao; Yong-Qiang Tan; Ming-Ming Cheng; Chengze Lu; Yunpeng Chen; Shuicheng Yan (ECCV (6), 2020)

Towards An End-to-End Framework for Flow-Guided Video Inpainting. - Zhen Li 031; Chengze Lu; Jianhua Qin; Chun-Le Guo; Ming-Ming Cheng (CVPR, 2022)

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. - Meng-Hao Guo; Cheng-Ze Lu; Qibin Hou; Zhengning Liu; Ming-Ming Cheng; Shi-Min Hu 001 (NeurIPS, 2022)

CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition. - Chengze Lu; Xiaojie Jin; Zhicheng Huang 002; Qibin Hou; Ming-Ming Cheng; Jiashi Feng (CoRR, 2023)

Delving Deeper into Data Scaling in Masked Image Modeling. - Cheng-Ze Lu; Xiaojie Jin; Qibin Hou; Jun Hao Liew; Ming-Ming Cheng; Jiashi Feng (CoRR, 2023)

Visual attention network. - Meng-Hao Guo; Cheng-Ze Lu; Zheng-Ning Liu; Ming-Ming Cheng; Shi-Min Hu 001 (Comput. Vis. Media, 2023)

Contrastive Masked Autoencoders are Stronger Vision Learners. - Zhicheng Huang 002; Xiaojie Jin; Chengze Lu; Qibin Hou; Ming-Ming Cheng; Dongmei Fu; Xiaohui Shen; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition. - Qibin Hou; Cheng-Ze Lu; Ming-Ming Cheng; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)