| 2023 | OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping. | Junshi Xia, Naoto Yokoya, Bruno Adriano, Clifford Broni-Bediako |
| 2023 | Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification. | Junfei Xiao, Yutong Bai, Alan L. Yuille, Zongwei Zhou |
| 2023 | Graph-Based Self-Learning for Robust Person Re-identification. | Yuqiao Xian, Jinrui Yang, Fufu Yu, Jun Zhang, Xing Sun |
| 2023 | HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars. | Xiaoyu Xiang, Jon Morton, Fitsum A. Reda, Lucas D. Young, Federico Perazzi, Rakesh Ranjan, Amit Kumar, Andrea Colaco, Jan P. Allebach |
| 2023 | Synthetic Latent Fingerprint Generator. | Andr Brasil Vieira Wyzykowski, Anil K. Jain |
| 2023 | Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. | Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu |
| 2023 | Marker-removal Networks to Collect Precise 3D Hand Data for RGB-based Estimation and its Application in Piano. | Erwin Wu, Hayato Nishioka, Shinichi Furuya, Hideki Koike |
| 2023 | Expert-defined Keywords Improve Interpretability of Retinal Image Captioning. | Ting-Wei Wu, Jia-Hong Huang, Joseph Lin, Marcel Worring |
| 2023 | Few-Shot Learning of Compact Models via Task-Specific Meta Distillation. | Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh, Zhi Liu, Yang Wang |
| 2023 | Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly. | Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jrgen Beyerer |
| 2023 | Handling Image and Label Resolution Mismatch in Remote Sensing. | Scott Workman, Armin Hadzic, Muhammad Usman Rafique |
| 2023 | HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. | Georg Wlflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic |
| 2023 | Hyperdimensional Feature Fusion for Out-of-Distribution Detection. | Samuel Wilson, Tobias Fischer, Niko Snderhauf, Feras Dayoub |
| 2023 | Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment. | Thomas Westfechtel, Hao-Wei Yeh, Qier Meng, Yusuke Mukuta, Tatsuya Harada |
| 2023 | Heightfields for Efficient Scene Reconstruction for AR. | Jamie Watson, Sara Vicente, Oisin Mac Aodha, Clment Godard, Gabriel J. Brostow, Michael Firman |
| 2023 | Learning How to MIMIC: Using Model Explanations to Guide Deep Learning Training. | Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed |
| 2023 | Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently. | Futa Waseda, Sosuke Nishikawa, Trung-Nghia Le, Huy H. Nguyen, Isao Echizen |
| 2023 | Video Object Matting via Hierarchical Space-Time Semantic Guidance. | Yumeng Wang, Bo Xu, Ziwen Li, Han Huang, Cheng Lu, Yandong Guo |
| 2023 | Interacting Hand-Object Pose Estimation via Dense Mutual Attention. | Rong Wang, Wei Mao, Hongdong Li |
| 2023 | Can Machines Learn to Map Creative Videos to Marketing Campaigns? | Jarod Wang, Chirag Mandaviya |
| 2023 | Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding. | Ze Wang, Yue Lu, Qiang Qiu |
| 2023 | Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision. | Tzu-Jui Julius Wang, Jorma Laaksonen, Tomas Langer, Heikki Arponen, Tom E. Bishop |
| 2023 | FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification. | Zijian Wang, Yadan Luo, Zi Huang, Mahsa Baktashmotlagh |
| 2023 | D | Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic |
| 2023 | Compact and Optimal Deep Learning with Recurrent Parameter Generators. | Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun |