| 2023 | Empirical Generalization Study: Unsupervised Domain Adaptation vs. Domain Generalization Methods for Semantic Segmentation in the Wild. | Fabrizio J. Piva, Daan de Geus, Gijs Dubbelman |
| 2023 | 3D-SpLineNet: 3D Traffic Line Detection using Parametric Spline Representations. | Maximilian Pittner, Alexandru Condurache, Joel Janai |
| 2023 | GEMS: Generating Efficient Meta-Subnets. | Varad Pimpalkhute, Shruti Kunde, Rekha Singhal |
| 2023 | Expansion of Visual Hints for Improved Generalization in Stereo Matching. | Andrea Pilzer, Yuxin Hou, Niki Andreas Lopi, Arno Solin, Juho Kannala |
| 2023 | Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance. | Sbastien Pirard, Anthony Cioppa, Anas Halin, Renaud Vandeghen, Maxime Zanella, Benot Macq, Sad Mahmoudi, Marc Van Droogenbroeck |
| 2023 | Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification. | Luca Piano, Filippo Gabriele Prattic, Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra, Fabrizio Lamberti |
| 2023 | Nested Deformable Multi-head Attention for Facial Image Inpainting. | Shruti S. Phutke, Subrahmanyam Murala |
| 2023 | LineEX: Data Extraction from Scientific Line Charts. | Shivasankaran V. P, Muhammad Yusuf Hassan, Mayank Singh |
| 2023 | Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. | Cuong Pham, Tuan Hoang, Thanh-Toan Do |
| 2023 | MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation. | Andra Petrovai, Sergiu Nedevschi |
| 2023 | FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning. | Grgoire Petit, Adrian Popescu, Hugo Schindler, David Picard, Bertrand Delezoide |
| 2023 | DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. | Joshua Peters, Lo Lebrat, Rodrigo Santa Cruz, Aaron Nicolson, Gregg Belous, Salamata Konate, Parnesh Raniga, Vincent Dor, Pierrick Bourgeat, Jurgen Mejan-Fripp, Clinton Fookes, Olivier Salvado |
| 2023 | High-Resolution Depth Estimation for 360° Panoramas through Perspective and Panoramic Depth Images Registration. | Chi-Han Peng, Jiayao Zhang |
| 2023 | Dynamic Re-weighting for Long-tailed Semi-supervised Learning. | Hanyu Peng, Weiguo Pian, Mingming Sun, Ping Li |
| 2023 | BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs. | Lang Peng, Zhirong Chen, Zhangjie Fu, Pengpeng Liang, Erkang Cheng |
| 2023 | Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. | Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig |
| 2023 | Adaptive Sample Selection for Robust Learning under Label Noise. | Deep Patel, P. S. Sastry |
| 2023 | Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. | Gaurav Patel, Jan P. Allebach, Qiang Qiu |
| 2023 | Mutual Learning for Long-Tailed Recognition. | Changhwa Park, Junho Yim, Eunji Jun |
| 2023 | Fine Gaze Redirection Learning with Gaze Hardness-aware Transformation. | Sangjin Park, Dae Ha Kim, Byung Cheol Song |
| 2023 | Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection. | Seongheon Park, Hanjae Kim, Minsu Kim, Dahye Kim, Kwanghoon Sohn |
| 2023 | Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation. | Zhihong Pan, Xin Zhou, Hao Tian |
| 2023 | SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning. | Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao |
| 2023 | Effective Invertible Arbitrary Image Rescaling. | Zhihong Pan, Baopu Li, Dongliang He, Wenhao Wu, Errui Ding |
| 2023 | Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization. | Zongshang Pang, Yuta Nakashima, Mayu Otani, Hajime Nagahara |