A background subtraction algorithm based on pixel state. - Ruoxi Deng; Dangfu Yang; Xinru Liu; Shengjun Liu (VRCAI, 2014)

Relative Depth Order Estimation Using Multi-scale Densely Connected Convolutional Networks. - Ruoxi Deng; Tianqi Zhao; Chunhua Shen; Shengjun Liu (CoRR, 2017)

Learning to Predict Crisp Boundaries. - Ruoxi Deng; Chunhua Shen; Shengjun Liu; Huibing Wang; Xinru Liu (ECCV (6), 2018)

Relative Depth Order Estimation Using Multi-Scale Densely Connected Convolutional Networks. - Ruoxi Deng; Shengjun Liu (IEEE Access, 2019)

Deep Structural Contour Detection. - Ruoxi Deng; Shengjun Liu (ACM Multimedia, 2020)

Learning to Decode Contextual Information for Efficient Contour Detection. - Ruoxi Deng; Shengjun Liu; Jinxin Wang; Huibing Wang; Hanli Zhao; Xiaoqin Zhang 002 (ACM Multimedia, 2021)

Towards Adaptive Consensus Graph: Multi-View Clustering via Graph Collaboration. - Huibing Wang; Guangqi Jiang; Jinjia Peng; Ruoxi Deng; Xianping Fu (IEEE Trans. Multim., 2023)

DIM: long-tailed object detection and instance segmentation via dynamic instance memory. - Zhao-Min Chen; Xin Jin 023; Xiaoqin Zhang 002; Chaoqun Xia; Zhiyong Pan; Ruoxi Deng; Jie Hu; Heng Chen (Mach. Learn. Sci. Technol., 2023)

Learning to refine object boundaries. - Ruoxi Deng; Zhao-Min Chen; Huiling Chen; Jie Hu (Neurocomputing, 2023)

MuGE: Multiple Granularity Edge Detection. - Caixia Zhou; Yaping Huang; Mengyang Pu; Qingji Guan; Ruoxi Deng; Haibin Ling (CVPR, 2024)

Modeling Label Correlations with Latent Context for Multi-label Recognition. - Zhaomin Chen; Quan Cui; Ruoxi Deng; Jie Hu; Guodao Zhang (ECCV (33), 2024)

Fast One-Stage Unsupervised Domain Adaptive Person Search. - Tianxiang Cui; Huibing Wang; Jinjia Peng; Ruoxi Deng; Xianping Fu; Yang Wang 023 (IJCAI, 2024)

Advancing Semantic Edge Detection through Cross-Modal Knowledge Learning. - Ruoxi Deng; Bin Yu; Jinxuan Lu; Caixia Zhou; Zhao-Min Chen; Jie Hu (ACM Multimedia, 2024)

Towards Gradient Equalization and Feature Diversification for Long-Tailed Multi-Label Image Recognition. - Zhao-Min Chen; Quan Cui; Xiaoqin Zhang 002; Ruoxi Deng; Chaoqun Xia; Shijian Lu (IEEE Trans. Multim., 2025)

Physics-guided deep learning framework with attention for image denoising. - Shengjun Liu; Ting Zhang; Ruoxi Deng; Xinru Liu; Hanchao Liu (Vis. Comput., 2025)

Hierarchical style transfer for enhancing feature diversity in long-tailed visual recognition. - Lintao Hu; Zhao-Min Chen; Huiling Chen; Ruoxi Deng; Jie Hu (Clust. Comput., 2025)