| 2023 | Content-Based Music-Image Retrieval Using Self- and Cross-Modal Feature Embedding Memory. | Takayuki Nakatsuka, Masahiro Hamasaki, Masataka Goto |
| 2023 | Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data. | Kazuto Nakashima, Yumi Iwashita, Ryo Kurazume |
| 2023 | Face Image Quality Vector Assessment for Biometrics Applications. | Nima Najafzadeh, Hossein Kashiani, Mohammad Saeed Ebrahimi Saadabadi, Niloufar Alipour Talemi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi |
| 2023 | Searching Efficient Neural Architecture with Multi-resolution Fusion Transformer for Appearance-based Gaze Estimation. | Vikrant Nagpure, Kenji Okuma |
| 2023 | Semantics Guided Contrastive Learning of Transformers for Zero-shot Temporal Activity Detection. | Sayak Nag, Orpaz Goldstein, Amit K. Roy-Chowdhury |
| 2023 | Serf: Towards better training of deep neural networks using log-Softplus ERror activation Function. | Sayan Nag, Mayukh Bhattacharyya, Anuraag Mukherjee, Rohit Kundu |
| 2023 | Hand Guided High Resolution Feature Enhancement for Fine-Grained Atomic Action Segmentation within Complex Human Assemblies. | Matthew Kent Myers, Nick Wright, A. Stephen McGough, Nicholas G. Martin |
| 2023 | Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. | Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger |
| 2023 | Self-supervised Relative Pose with Homography Model-fitting in the Loop. | Bruce R. Muller, William A. P. Smith |
| 2023 | Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes. | James F. Mullen Jr., Divya Kothandaraman, Aniket Bera, Dinesh Manocha |
| 2023 | Self-Supervised Distilled Learning for Multi-modal Misinformation Identification. | Michael Mu, Sreyasee Das Bhattacharjee, Junsong Yuan |
| 2023 | Multi-level Contrastive Learning for Self-Supervised Vision Transformers. | Shentong Mo, Zhun Sun, Chao Li |
| 2023 | Representation Disentanglement in Generative Models with Contrastive Learning. | Shentong Mo, Zhun Sun, Chao Li |
| 2023 | Computer Vision for Ocean Eddy Detection in Infrared Imagery. | Evangelos Moschos, Alisa Kugusheva, Paul Coste, Alexandre Stegner |
| 2023 | Interactive Image Manipulation with Complex Text Instructions. | Ryugo Morita, Zhiqiang Zhang, Man M. Ho, Jinjia Zhou |
| 2023 | ImPosing: Implicit Pose Encoding for Efficient Visual Localization. | Arthur Moreau, Thomas Gilles, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle |
| 2023 | CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry. | Steven Moonen, Bram Vanherle, Joris de Hoog, Taoufik Bourgana, Abdellatif Bey-Temsamani, Nick Michiels |
| 2023 | An Embedding-Dynamic Approach to Self-Supervised Learning. | Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny |
| 2023 | FUSSL: Fuzzy Uncertain Self Supervised Learning. | Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh |
| 2023 | A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images. | Puria Azadi Moghadam, Sanne Van Dalen, Karina C. Martin, Jochen K. Lennerz, Stephen Yip, Hossein Farahani, Ali Bashashati |
| 2023 | Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. | Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa |
| 2023 | Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis. | Trisha Mittal, Ritwik Sinha, Viswanathan Swaminathan, John P. Collomosse, Dinesh Manocha |
| 2023 | Neural Distributed Image Compression with Cross-Attention Feature Alignment. | Nitish Mital, Ezgi zyilkan, Ali Garjani, Deniz Gndz |
| 2023 | ATCON: Attention Consistency for Vision Models. | Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel L. Rubin |
| 2023 | Meta-Learning for Adaptation of Deep Optical Flow Networks. | Chaerin Min, Tae Hyun Kim, Jongwoo Lim |