| 2023 | Learnt Deep Hyperparameter Selection in Adversarial Training for Compressed Video Enhancement with a Perceptual Critic. | Darren Ramsook, Anil C. Kokaram |
| 2023 | NTrans-Net: A Multi-Scale Neutrosophic-Uncertainty Guided Transformer Network for Indoor Depth Completion. | Akshat Ramachandran, Ankit Dhiman, Basavaraja Shanthappa Vandrotti, Jooyoung Kim |
| 2023 | A Novel Weakly Supervised Segmentation Approach for Rapid Left Ventricle Annotation. | Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed |
| 2023 | Segmentation of the Left Ventricle for the Cardiac Phases between End-Diastole and End-Systole. | Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed |
| 2023 | Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography. | Obaidullah Rahman, Singanallur V. Venkatakrishnan, Luke Scime, Paul Brackman, Curtis Frederick, Ryan Dehoff, Vincent C. Paquit, Amirkoushyar Ziabari |
| 2023 | Artifact: A Large-Scale Dataset With Artificial And Factual Images For Generalizable And Robust Synthetic Image Detection. | Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker, Zaber Ibn Abdul Hakim, Shaikh Anowarul Fattah |
| 2023 | A Multichannel Localization Method for Camouflaged Object Detection. | Md. Rakibur Rahman, Md. Mafri Chowdhury, Md. Shohanur Rahaman Sarkar, Md. Shahriar Karim |
| 2023 | Spatio-Temporal Perception-Distortion Trade-Off in Learned Video SR. | Nasrin Rahimi, A. Murat Tekalp |
| 2023 | Dodging the Double Descent in Deep Neural Networks. | Victor Qutu, Enzo Tartaglione |
| 2023 | Team DETR: Guide Queries as a Professional Team in Detection Transformers. | Tian Qiu, Linyun Zhou, Wenxiang Xu, Lechao Cheng, Zunlei Feng, Mingli Song |
| 2023 | DF-Net: Diversity-Focused Network for Video Object Detection. | Zhenyu Qiu, Qiang Qi, Yan Yan, Hanzi Wang |
| 2023 | Learning to Draw Through A Multi-Stage Environment Model Based Reinforcement Learning. | Ji Qiu, Peng Lu, Xujun Peng |
| 2023 | Enhanced U-Transformer Networks for Automatic Pulmonary Vessel Segmentation in Ct Images. | Hao Qi, Jiabao Jin, Gang Ding, Xiangxing Chen, Sunkui Ke, Yinran Chen, Xiongbiao Luo |
| 2023 | The Multivariate Transformer Network for Mild Cognitive Impairment Identification. | Jianping Qiao, Hongjia Liu, Rong Wang, Zhishun Wang, Jiande Sun |
| 2023 | Long-Tailed Federated Learning Via Aggregated Meta Mapping. | Pinxin Qian, Yang Lu, Hanzi Wang |
| 2023 | Can we Distill Knowledge from Powerful Teachers Directly? | Chengyao Qian, Munawar Hayat, Mehrtash Harandi |
| 2023 | Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small Sample Size Settings. | Monika Pytlarz, Adrian Onicas, Alessandro Crimi |
| 2023 | Inductive Graph Neural Networks for Moving Object Segmentation. | Wieke Prummel, Jhony H. Giraldo, Anastasia Zakharova, Thierry Bouwmans |
| 2023 | JPEG Pleno Learning-Based Point Cloud Coding: A Performance Analysis. | Joo Prazeres, Rafael Rodrigues, Manuela Pereira, Antnio M. G. Pinheiro |
| 2023 | Color Learning for Image Compression. | Srivatsa Prativadibhayankaram, Thomas Richter, Heiko Sparenberg, Siegfried Foessel |
| 2023 | Token-Consistent Dropout For Calibrated Vision Transformers. | Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool |
| 2023 | Block-Based Motion Estimation for Deep-Learned Video Coding. | Sophie Pientka, Michael Schfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand |
| 2023 | MQ-Coder Inspired Arithmetic Coder for Synthetic DNA Data Storage. | Xavier Pic, Melpomeni Dimopoulou, Eva Gil San Antonio, Marc Antonini |
| 2023 | Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers. | William Piat, Jalal Fadili, Frdric Jurie |
| 2023 | Deep Unfolding Network with Physics-Based Priors for Underwater Image Enhancement. | Thuy Thi Pham, Truong Thanh Nhat Mai, Chul Lee |