Adaptive Frame Rate Optimization Based on Particle Swarm and Neural Network for Industrial Video Stream. - Xiaoling Zhang; Menghao Li; Ke Mei; Lu Ding (ETFA, 2019)

Instance Adaptive Self-training for Unsupervised Domain Adaptation. - Ke Mei; Chuang Zhu; Jiaqi Zou; Shanghang Zhang (ECCV (26), 2020)

Cross-Stained Segmentation from Renal Biopsy Images Using Multi-Level Adversarial Learning. - Ke Mei; Chuang Zhu; Lei Jiang; Jun Liu 014; Yuanyuan Qiao 002 (ICASSP, 2020)

Multi-Scale Video Inverse Tone Mapping with Deformable Alignment. - Jiaqi Zou; Ke Mei; Songlin Sun (VCIP, 2020)

3rd Place Solution to "Google Landmark Retrieval 2020". - Ke Mei; Lei li; Jinchang Xu; Yanhua Cheng; Yugeng Lin (CoRR, 2020)

Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet. - Chuang Zhu; Ke Mei; Ting Peng; Yihao Luo; Jun Liu 014; Ying Wang 043; Mulan Jin (Neurocomputing, 2021)

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. - Qian Da; Xiaodi Huang; Zhongyu Li 002; Yanfei Zuo; Chenbin Zhang; Jingxin Liu; Wen Chen 001; Jiahui Li 005; Dou Xu; Zhiqiang Hu; Hongmei Yi; Yan Guo; et al. (Medical Image Anal., 2022)

Constrained Planar Array Thinning Based on Discrete Particle Swarm Optimization with Hybrid Search Strategies. - Wanhan Cai; Lixia Ji; Chenglin Guo; Ke Mei; Hao Zeng (Sensors, 2022)

HarmonySet: A Comprehensive Dataset for Understanding Video-Music Semantic Alignment and Temporal Synchronization. - Zitang Zhou; Ke Mei; Yu Lu; Tianyi Wang; Fengyun Rao (CVPR, 2025)

HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models. - Zhixiang Wei; Guangting Wang; Xiaoxiao Ma 006; Ke Mei; Huaian Chen; Yi Jin 002; Fengyun Rao (CoRR, 2025)

Hard-Aware Instance Adaptive Self-Training for Unsupervised Cross-Domain Semantic Segmentation. - Chuang Zhu; Kebin Liu; Wenqi Tang; Ke Mei; Jiaqi Zou; Tie-Jun Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)