| 2023 | Evaluating generative networks using Gaussian mixtures of image features. | Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar, Richard G. Baraniuk, Michael J. Henry |
| 2023 | Transformers For Recognition In Overhead Imagery: A Reality Check. | Francesco Luzi, Aneesh Gupta, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2023 | Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection. | Yifan Lu, Gurkirt Singh, Suman Saha, Luc Van Gool |
| 2023 | TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection. | Zhipeng Luo, Gongjie Zhang, Changqing Zhou, Tianrui Liu, Shijian Lu, Liang Pan |
| 2023 | ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. | Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano |
| 2023 | Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks. | Katja Ludwig, Daniel Kienzle, Julian Lorenz, Rainer Lienhart |
| 2023 | Cross-task Attention Mechanism for Dense Multi-task Learning. | Ivan Lopes, Tuan-Hung Vu, Raoul de Charette |
| 2023 | Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks. | Leonardo Tadeu Lopes, Daniel Carlos Guimares Pedronette |
| 2023 | SD-Pose: Structural Discrepancy Aware Category-Level 6D Object Pose Estimation. | Guowei Li, Dongchen Zhu, Guanghui Zhang, Wenjun Shi, Tianyu Zhang, Xiaolin Zhang, Jiamao Li |
| 2023 | Discrete Cosin TransFormer: Image Modeling From Frequency Domain. | Xinyu Li, Yanyi Zhang, Jianbo Yuan, Hanlin Lu, Yibo Zhu |
| 2023 | Intra-Source Style Augmentation for Improved Domain Generalization. | Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva |
| 2023 | Temporally Consistent Online Depth Estimation in Dynamic Scenes. | Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath |
| 2023 | Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather. | Jinlong Li, Runsheng Xu, Jin Ma, Qin Zou, Jiaqi Ma, Hongkai Yu |
| 2023 | Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification. | Jiachen Li, Menglin Wang, Xiaojin Gong |
| 2023 | Improving the Robustness of Point Convolution on k-Nearest Neighbor Neighborhoods with a Viewpoint-Invariant Coordinate Transform. | Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, Fuxin Li |
| 2023 | More Control for Free! Image Synthesis with Semantic Diffusion Guidance. | Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell |
| 2023 | PatchDropout: Economizing Vision Transformers Using Patch Dropout. | Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith |
| 2023 | VSGD-Net: Virtual Staining Guided Melanocyte Detection on Histopathological Images. | Kechun Liu, Beibin Li, Wenjun Wu, Caitlin J. May, Oliver Chang, Stevan Knezevich, Lisa M. Reisch, Joann G. Elmore, Linda G. Shapiro |
| 2023 | TI | Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu |
| 2023 | EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement. | Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff |
| 2023 | Learning to Detect 3D Lanes by Shape Matching and Embedding. | Ruixin Liu, Zhihao Guan, Zejian Yuan, Ao Liu, Tong Zhou, Tang Kun, Erlong Li, Chao Zheng, Shuqi Mei |
| 2023 | Meta-Auxiliary Learning for Future Depth Prediction in Videos. | Huan Liu, Zhixiang Chi, Yuanhao Yu, Yang Wang, Jun Chen, Jin Tang |
| 2023 | Hyperspherical Quantization: Toward Smaller and More Accurate Models. | Dan Liu, Xi Chen, Chen Ma, Xue Liu |
| 2023 | A Deep Neural Framework to Detect Individual Advertisement (Ad) from Videos. | Zongyi Liu |
| 2023 | Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers. | Zhiwei Lin, Zengyu Yang, Yongtao Wang |