| 2024 | Hand Dorsal Vein Segmentation Through Thermal Camera Acquisition. | Yashraj Patel, Aneesha Patel, Bhagirath Patel, Ritesh Vyas |
| 2024 | Judgment Analysis in a Streaming Setting Incurring Logarithmic Space of the Annotators. | Jyoti Patel, Soumen Mandal, Malay Bhattacharyya |
| 2024 | Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence-Induced Loss Function and Dual Attention. | Shweta Patel, Dakshina Ranjan Kisku |
| 2024 | Computer Vision and Deep Learning-Based Framework for Pedestrian Behavior Prediction Using Spatio-Temporal Features. | Vivek Kumar Paswan, Ayesha Choudhary |
| 2024 | Probabilistic Fusion Framework Combining CNNs and Graphical Models for Multiresolution Satellite and UAV Image Classification. | Martina Pastorino, Gabriele Moser, Fabien Guerra, Sebastiano B. Serpico, Josiane Zerubia |
| 2024 | New Algorithms for Multivalued Component Trees. | Nicolas Passat, Romain Perrin, Jimmy Francky Randrianasoa, Camille Kurtz, Benot Naegel |
| 2024 | Advancing EEG-Based Emotion Detection with Fusion of F-Connectivity and EMD Features and Ensemble Classification. | Sricheta Parui, Srinithi Mitra, Anjali Diwan |
| 2024 | Harlequin: Color-Driven Generation of Synthetic Data for Referring Expression Comprehension. | Luca Parolari, Elena Izzo, Lamberto Ballan |
| 2024 | Text-Driven Prototype Learning for Few-Shot Class-Incremental Learning. | Seongbeom Park, Haeji Jung, Daewon Chae, Hyunju Yun, Sungyoon Kim, Suhong Moon, Jinkyu Kim, Seunghyun Park |
| 2024 | Clustering-based Image-Text Graph Matching for Domain Generalization. | Nokyung Park, Daewon Chae, Jeongyong Shim, Sangpil Kim, Eun-Sol Kim, Jinkyu Kim |
| 2024 | Mapping the Unknown: A New Approach to Open-World Video Recognition. | Csar D. Parga, Xos M. Pardo, Carlos Vzquez Regueiro |
| 2024 | EEG-Based Reaction Time Prediction Using Covariance Augmented 2D Convolutional Neural Network. | Adarsh V. Parekkattil, Sanjeev Kumar Varun, Tharun Kumar Reddy |
| 2024 | Low-Rank Adaptation of Segment Anything Model for Surgical Scene Segmentation. | Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel |
| 2024 | Machine Learning Approaches for Automated Detection of Nephrops norvegicus Burrows in Underwater Surveys. | Oscar Papini, Enrico Cecapolli, Filippo Domenichetti, Michela Martinelli, Gabriele Pieri, Marco Reggiannini, Lorenzo Zacchetti |
| 2024 | Pathologic Complete Response Prediction with Machine Learning Using Hierarchical Attention Feature Extraction. | Domenico Paolo, Ciro Russo, Giulio Russo, Carlo Greco, Alessio Cortellini, Marco Russano, Sara Ramella, Paolo Soda, Claudio Marrocco, Alessandro Bria, Rosa Sicilia |
| 2024 | Learning Explicit Modulation Vectors for Disentangled Transformer Attention-Based RGB-D Visual Tracking. | Yifan Pan, Tianyang Xu, Xuefeng Zhu, Xiaoqing Luo, Xiaojun Wu, Josef Kittler |
| 2024 | Learning Explicit Radical Representations for Zero-Shot Chinese Character Recognition. | Song-Liang Pan, Da-Han Wang, Nanfeng Jiang, Xu-Yao Zhang, Shunzhi Zhu |
| 2024 | MIRIAMS: Models Integration for Reliable Identification and Accurate Multiple Sclerosis Segmentation. | Alessandro Pani, Andrea Loddo, Lorenzo Putzu, Luca Zedda, Cecilia Di Ruberto |
| 2024 | SIGN-Diffusion: Generating User Specific Online Signature for Digital Verification. | Anurag Pandey, PushapDeep Singh, Arnav Bhavsar, Aditya Nigam, Divya Acharya, Basu Verma |
| 2024 | Enhanced Cross-Task EEG Classification: Domain Adaptation with EEGNet. | Vishal Pandey, Nikhil Panwar, Atharva Kumbhar, Partha Pratim Roy, Masakazu Iwamura |
| 2024 | Prediction of Urban Traffic Patterns by Analyzing Real-World Videos Using Clustering and Markov Model. | Arabinda Panda, Debi Prosad Dogra, Partha Pratim Dey |
| 2024 | The 2D Shape Equipartition Problem Under Minimum Boundary Length. | Costas Panagiotakis |
| 2024 | Context-Aware Preprocessing Method for Reduction of Volume of Interest Towards Quantification of Pre and Post-treatment Intracranial Aneurysms in MRA. | Subhash Chandra Pal, Dimitrios Toumpanakis, Johan Wikstrm, Chirag Kamal Ahuja, Robin Strand, Ashis Kumar Dhara |
| 2024 | Customizable and Programmable Deep Learning. | Ratnabali Pal, Samarjit Kar, Arif Ahmed Sekh |
| 2024 | FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning. | Luca Palazzo, Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato |