| 2023 | EMOD: Efficient Moving Object Detection via Image Eccentricity Analysis and Sparse Neural Networks. | Xiaomin Li, Ramin Nabati, Kunjan Singh, Enrique Corona, Vangelis Metsis, Armin Parchami |
| 2023 | SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water. | Xiaomin Lin, Cheng Liu, Allen Pattillo, Miao Yu, Yiannis Aloimonos |
| 2023 | Vision Transformer for NeRF-Based View Synthesis from a Single Input Image. | Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi |
| 2023 | Lightweight Video Denoising using Aggregated Shifted Window Attention. | Lydia Lindner, Alexander Effland, Filip Ilic, Thomas Pock, Erich Kobler |
| 2023 | Benefits of Synthetically Pre-trained Depth-Prediction Networks for Indoor/Outdoor Image Classification. | Kelly X. Lin, Irene Cho, Amey Walimbe, Bryan A. Zamora, Alex Rich, Sirius Z. Zhang, Tobias Hllerer |
| 2023 | Relaxing Contrastiveness in Multimodal Representation Learning. | Zudi Lin, Erhan Bas, Kunwar Yashraj Singh, Gurumurthy Swaminathan, Rahul Bhotika |
| 2023 | Progressive Video Summarization via Multimodal Self-supervised Learning. | Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond |
| 2023 | A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. | Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool |
| 2023 | Addressing Feature Suppression in Unsupervised Visual Representations. | Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogrio Feris, Piotr Indyk, Dina Katabi |
| 2023 | Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging. | Ke Li, Dengxin Dai, Luc Van Gool |
| 2023 | DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings. | Bingchuan Li, Shaofei Cai, Wei Liu, Peng Zhang, Qian He, Miao Hua, Zili Yi |
| 2023 | Domain Invariant Vision Transformer Learning for Face Anti-spoofing. | Chen-Hao Liao, Wen-Cheng Chen, Hsuan-Tung Liu, Yi-Ren Yeh, Min-Chun Hu, Chu-Song Chen |
| 2023 | Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. | Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza |
| 2023 | Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. | Nhat Le, Khanh Nguyen, Quang D. Tran, Erman Tjiputra, Bac Le, Anh Nguyen |
| 2023 | Single-Image HDR Reconstruction by Multi-Exposure Generation. | Phuoc-Hieu Le, Quynh Le, Rang Nguyen, Binh-Son Hua |
| 2023 | Guiding Visual Question Answering with Attention Priors. | Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2023 | Do Pre-trained Models Benefit Equally in Continual Learning? | Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang |
| 2023 | GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation. | Min Seok Lee, Seok Woo Yang, Sung Won Han |
| 2023 | Modality Mixer for Multi-modal Action Recognition. | Sumin Lee, Sangmin Woo, Yeonju Park, Muhammad Adi Nugroho, Changick Kim |
| 2023 | ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy. | JunKyu Lee, Blesson Varghese, Hans Vandierendonck |
| 2023 | Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation. | Seongyeong Lee, Hansoo Park, Dong Uk Kim, Jihyeon Kim, Muhammadjon Boboev, Seungryul Baek |
| 2023 | Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning. | HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo |
| 2023 | Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training. | Saehyung Lee, Hyungyu Lee |
| 2023 | HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar. | Shih-Po Lee, Niraj Prakash Kini, Wen-Hsiao Peng, Ching-Wen Ma, Jenq-Neng Hwang |
| 2023 | Multi-scale Contrastive Learning for Complex Scene Generation. | Hanbit Lee, Youna Kim, Sang-Goo Lee |