| 2023 | ScratchHOI: Training Human-Object Interaction Detectors from Scratch. | JunYi Lim, Vishnu Monn Baskaran, Joanne Mun-Yee Lim, Ricky Sutopo, KokSheik Wong, Massimo Tistarelli |
| 2023 | Regularizing Neural Radiance Fields from Sparse Rgb-D Inputs. | Qian Li, Franck Multon, Adnane Boukhayma |
| 2023 | Inter-Scale Sure-Let Image Restoration with Deep Unrolled Image Prior. | Jikai Li, Shogo Muramatsu |
| 2023 | A Saliency-Aware Method for Arbitrary Style Transfer. | Yitong Li, Jie Ma |
| 2023 | End to End Generative Meta Curriculum Learning for Medical Data Augmentation. | Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell |
| 2023 | Differential Enhanced Siamese Segmentation Network for Printed Label Defect Detection. | Dongming Li, Yingjian Li, Jinxing Li, Guangming Lu |
| 2023 | Laptran: Transformer Embedding Graph Laplacian for Point Cloud Part Segmentation. | Abiao Li, Chenlei Lv, Yuming Fang, Yifan Zuo |
| 2023 | Atten-Adapter: A Unified Attention-Based Adapter for Efficient Tuning. | Kaiwen Li, Wenzhe Gu, Maixuan Xue, Jiahua Xiao, Dahu Shi, Xing Wei |
| 2023 | Robust Graph-Based Segmentation of Noisy Point Clouds. | Pufan Li, Xiang Gao, Qianjiang Hu, Wei Hu |
| 2023 | A Contrario Detection of H.264 Video Double Compression. | Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Jean-Michel Morel, Miguel Colom, Rafael Grompone von Gioi |
| 2023 | Hierarchical Conditional Semi-Paired Image-to-Image Translation for Multi-Task Image Defect Correction on Shopping Websites. | Moyan Li, Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Jia Liu, Bryan Wang |
| 2023 | LMPDNET: TOF-PET List-Mode Image Reconstruction Using Model-Based Deep Learning Method. | Chenxu Li, Jingwan Fang, Rui Hu, Jianan Cui, Huafeng Liu |
| 2023 | Siamese Network Representation for Active Learning. | Jianing Li, Yuan Du, Li Du |
| 2023 | LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit. | Tianxiang Li, Bin Chen, Qian-Wei Wang, Yujun Huang, Shu-Tao Xia |
| 2023 | Channel Pruning Via Attention Module And Memory Curve. | Hufei Li, Jian Cao, Xiangcheng Liu, Jue Chen, Jingjie Shang, Yu Qian, Yuan Wang |
| 2023 | Feature-Aware Prohibited Items Detection for X-Ray Images. | Hongyu Liao, Bin Huang, Hongxia Gao |
| 2023 | Feature-Domain Proximal High-Dimensional Gradient Descent Network for Image Compressed Sensing. | Ziwen Liang, Chunling Yang |
| 2023 | Attentive Deep K-SVD Network for Patch Correlated Image Denoising. | Yiwen Liang, Lu Wang, Jianfei Wang, Ye Luo |
| 2023 | Attribute Learning with Knowledge Enhanced Partial Annotations. | Kongming Liang, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo |
| 2023 | PFC-UNIT: Unsupervised Image-to-Image Translation with Pre-Trained Fine-Grained Classification. | Yu-Ying Liang, Yuan-Gen Wang |
| 2023 | 3D Face Reconstruction Based on Weakly-Supervised Learning Morphable Face Model. | Kai-Wen Liang, Pin-Hsuan Li, Chung-Hsun Lo, Chien-Yao Wang, Yung-Fang Chen, Jia-Ching Wang, Pao-Chi Chang |
| 2023 | Video Summarization Through Fine-Grained Hierarchical Modeling with Multi-Dimensional Features. | Mengnan Liang, Ju Liu, Xiaoxi Liu, Lingchen Gu |
| 2023 | MCTE: Marrying Convolution and Transformer Efficiently for End-to-End Medical Image Segmentation. | Jiuqiang Li |
| 2023 | Transforming Multidimensional Data into Images to Overcome the Curse of Dimensionality. | Rebecca Leygonie, Sylvain Lobry, Guillaume Vimont, Laurent Wendling |
| 2023 | Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks. | Samuel Leventhal, Attila Gyulassy, Valerio Pascucci, Mark Heimann |