| 2023 | Protecting Publicly Available Data With Machine Learning Shortcuts. | Nicolas M. Mller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Bttinger |
| 2023 | Attentive Contractive Flow with Lipschitz Constrained Self-Attention. | Avideep Mukherjee, Badri N. Patro, Vinay P. Namboodiri |
| 2023 | Personalized Fashion Recommendation via Deep Personality Learning. | Dongmei Mo, Xingxing Zou, Waikeung Wong |
| 2023 | SRBGCN: Tangent space-Free Lorentz Transformations for Graph Feature Learning. | Abdelrahman Mostafa, Wei Peng, Guoying Zhao |
| 2023 | A Comprehensive Crossroad Camera Dataset to Improve Traffic Safety of Mobility Aid Users. | Ludwig Mohr, Nadezda Kirillova, Horst Possegger, Horst Bischof |
| 2023 | Towards Robot Anomaly Detection. | Ken Miyamoto, Masato Tsuchiya, Takashi Ota, Teng-Yok Lee |
| 2023 | Selective Scene Text Removal. | Hayato Mitani, Akisato Kimura, Seiichi Uchida |
| 2023 | Domain-Aware Augmentations for Unsupervised Online General Continual Learning. | Nicolas Michel |
| 2023 | SWIN-RIND: Edge Detection for Reflectance, Illumination, Normal and Depth Discontinuity with Swin Transformer. | Lun Miao, Takeshi Oishi, Ryoichi Ishikawa |
| 2023 | G2N2: Lightweight Event Stream Classification with GRU Graph Neural Networks. | Thomas Mesquida, Manon Dampfhoffer, Thomas Dalgaty, Pascal Vivet, Amos Sironi, Christoph Posch |
| 2023 | Deformation-Guided Unsupervised Non-Rigid Shape Matching. | Aymen Merrouche, Joo Regateiro, Stefanie Wuhrer, Edmond Boyer |
| 2023 | Infinite Class Mixup. | Thomas Mensink, Pascal Mettes |
| 2023 | Contrastive Maximum Mean Discrepancy for Unsupervised Domain Adaptation Applied to Large Scale 3D LiDAR Semantic Segmentation. | Lamiae El Mendili, Sylvie Daniel, Thierry Badard, Patrick Dallaire |
| 2023 | Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection. | Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi |
| 2023 | AGMDT: Virtual Staining of Renal Histology Images with Adjacency-Guided Multi-Domain Transfer. | Tao Ma, Chao Zhang, Min Lu, Lin Luo |
| 2023 | Log RGB Images Provide Invariance to Intensity and Color Balance Variation for Convolutional Networks. | Bruce A. Maxwell, Sumegha Singhania, Heather Fryling, Haonan Sun |
| 2023 | Point Cloud Sampling Preserving Local Geometry for Surface Reconstruction. | Kohei Matsuzaki, Keisuke Nonaka |
| 2023 | Domain-Adaptive Semantic Segmentation with Memory-Efficient Cross-Domain Transformers. | Ruben Mascaro, Lucas Teixeira, Margarita Chli |
| 2023 | Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? | Abhishek Mandal, Susan Leavy, Suzanne Little |
| 2023 | Single-Landmark vs. Multi-Landmark Deep Learning Approaches to Brain MRI Landmarking: a Case Study with Healthy Controls and Down Syndrome Individuals. | Jordi Mal, Yann Heuz, Juan Fortea, Neus Martnez-Abadas, Xavier Sevillano |
| 2023 | Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. | Sina Malakouti, Adriana Kovashka |
| 2023 | Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. | Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava |
| 2023 | Self-Avatar's Animation in VR: Extending Sparse Motion Features with Cartesian Coordinates in Transformer-based Model. | Antoine Maiorca, Thierry Ravet, Thierry Dutoit |
| 2023 | Learning Separable Hidden Unit Contributions for Speaker-Adaptive Visual Speech Recognition. | Songtao Luo, Shuang Yang, Shiguang Shan, Xilin Chen |
| 2023 | Temporal-controlled Frame Swap for Generating High-Fidelity Stereo Driving Data for Autonomy Analysis. | Yedi Luo, Xiangyu Bai, Le Jiang, Aniket Gupta, Eric Mortin, Hanumant Singh, Sarah Ostadabbas |