| 2023 | Progressive Mixup Augmented Teacher-Student Learning for Unsupervised Domain Adaptation. | Aotian Zheng, Jie Mei, Farron Wallace, Craig S. Rose, Rania Hussein, Jenq-Neng Hwang |
| 2023 | Enhanced Temporal Motion Derivation Beyond VVC. | Lei Zhao, Kai Zhang, Li Zhang |
| 2023 | Point Cloud Denoising Via Momentum Ascent in Gradient Fields. | Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam |
| 2023 | Improving Video Colorization by Test-Time Tuning. | Yaping Zhao, Haitian Zheng, Jiebo Luo, Edmund Y. Lam |
| 2023 | A Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement. | Lijun Zhao, Ke Wang, Jinjing Zhang, Jie Zhao, Anhong Wang |
| 2023 | Heterogeneous Image Change Detection Based on Deep Image Translation and Feature Refinement-Aggregation. | Tianrui Zhao, Lu Wang, Chunhui Zhao, Tian Liu, Tomoaki Ohtsuki |
| 2023 | A Multi-Stream Network for Mesh Denoising Via Graph Neural Networks with Gaussian Curvature. | Zhibo Zhao, Wenhui Wu, Hongjie Liu, Yuanhao Gong |
| 2023 | Using Classifier Discrepancy for Cross-Domain Image Retrieval. | Longjiao Zhao, Yu Wang, Jien Kato |
| 2023 | Change Detection for Remote Sensing Images based on Semantic Prototypes and Contrastive Learning. | Guiqin Zhao, Weiqiang Wang |
| 2023 | Parameter-Efficient Vision Transformer with Linear Attention. | Youpeng Zhao, Huadong Tang, Yingying Jiang, Yong A, Qiang Wu, Jun Wang |
| 2023 | Learning Spatial-Temporal Embeddings for Sequential Point Cloud Frame Interpolation. | Lili Zhao, Zhuoqun Sun, Lancao Ren, Qian Yin, Lei Yang, Meng Guo |
| 2023 | Abnormal-Aware Loss and Full Distillation for Unsupervised Anomaly Detection Based on Knowledge Distillation. | Mengyuan Zhao, Yonghong Song |
| 2023 | LGSQE: Lightweight Generated Sample Quality Evaluation. | Ganning Zhao, Vasileios Magoulianitis, Suya You, C.-C. Jay Kuo |
| 2023 | A Convergent Neural Network for Non-Blind Image Deblurring. | Yanan Zhao, Yuelong Li, Haichuan Zhang, Vishal Monga, Yonina C. Eldar |
| 2023 | Unsupervised Deep Hashing With Deep Semantic Distillation. | Chuang Zhao, Hefei Ling, Yuxuan Shi, Bo Gu, Shijie Lu, Ping Li, Qiang Cao |
| 2023 | Improve Unsupervised Deep Hashing Via Masked Contrastive Learning. | Chuang Zhao, Hefei Ling, Shijie Lu, Yuxuan Shi, Ping Li, Qiang Cao |
| 2023 | Deep Unsupervised Hashing with Semantic Consistency Learning. | Chuang Zhao, Shijie Lu, Hefei Ling, Yuxuan Shi, Bo Gu, Ping Li, Qiang Cao |
| 2023 | HDR-LMDA: A Local Area-Based Mixed Data Augmentation Method for Hdr Video Reconstruction. | Fengshan Zhao, Qin Liu, Takeshi Ikenaga |
| 2023 | Parallel Gradient Blend for Class Incremental Learning. | Yunlong Zhao, Xiaoheng Deng, Xinjun Pei, Xuechen Chen, Deng Li |
| 2023 | Attention-Guided Contrastive Masked Image Modeling for Transformer-Based Self-Supervised Learning. | Yucheng Zhan, Yucheng Zhao, Chong Luo, Yueyi Zhang, Xiaoyan Sun |
| 2023 | Truncated Weighted Nuclear Norm Regularization and Sparsity for Image Denoising. | MingYan Zhang, Mingli Zhang, Feng Zhao, Fan Zhang, Yepeng Liu, Alan C. Evans |
| 2023 | Semi-Supervised Few-Shot Segmentation with Noisy Support Images. | Runtong Zhang, Hongyuan Zhu, Hanwang Zhang, Chen Gong, Joey Tianyi Zhou, Fanman Meng |
| 2023 | Combining Self-Supervised and Supervised Learning with Noisy Labels. | Yongqi Zhang, Hui Zhang, Quanming Yao, Jun Wan |
| 2023 | Geometry-Aware Video Quality Assessment for Dynamic Digital Human. | Zicheng Zhang, Yingjie Zhou, Wei Sun, Xiongkuo Min, Guangtao Zhai |
| 2023 | Progressive Multi-View Fusion for 3D Human Pose Estimation. | Lijun Zhang, Kangkang Zhou, Liangchen Liu, Zhenghao Li, Xunyi Zhao, Xiang-Dong Zhou, Yu Shi |