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ORCID28th ICPR 2026: Lyon, France - Part IV
- Maria De Marsico
, Tin Kam Ho, Frédéric Jurie, Cheng-Lin Liu, Daniel P. Lopresti, Ingela Nyström, Jean-Marc Ogier, Arun Ross, Liang Wang:
Pattern Recognition - 28th International Conference, ICPR 2026, Lyon, France, August 17-22, 2026, Proceedings, Part V. Lecture Notes in Computer Science 16816, Springer 2027, ISBN 978-3-032-31665-3 - Davide Di Nucci, Riccardo Catalini, Guido Borghi, Roberto Vezzani:
Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering. 1-15 - Alejandro Rico Espinosa, Melissa Cote, Ali Soltaninezhad, Tunai Porto Marques, Alexandra Branzan Albu, Vanesa Diaz Gimeno, Jacob W. Lower, Robin Prussin:
Quilting-Based Image Pre-processing for Commercial Ground Hook and Line Fishing Imagery Classification. 16-32 - Kawtar Zaher, Olivier Buisson, Alexis Joly:
Revisiting Human-in-the-Loop Object Retrieval with Pre-trained Vision Transformers. 33-48 - Asir Saadat, Tasmia Binte Sogir, Md Taukir Azam Chowdhury, Syem Aziz:
When Not to Answer: Evaluating Prompts on Reasoning Models for Effective Abstention in Unanswerable Math Word Problems. 49-63 - Cheolhun Jang, Wontae Kim, Daehyun Ji, Nam Ik Cho:
Mamba-VOS: Efficient Video Object Segmentation with Selective State Space Models. 64-79 - Filippos Gouidis, Konstantinos E. Papoutsakis, Theodore Patkos, Antonis A. Argyros, Dimitris Plexousakis:
Metapath-Driven Embeddings for Zero-Shot Object State Classification. 80-95 - Shijia Feng, Michael Wray, Walterio W. Mayol-Cuevas:
EvoStruggle: A Dataset Capturing the Evolution of Struggle Across Activities and Skill Levels. 96-111 - Antonio Di Cecco, Carlo Metta, Andrea Papini, Marco Fantozzi, Silvia Giulia Galfrè, Michelangelo Vegliò, Luigi Amedeo Bianchi, Maurizio Parton, Francesco Morandin:
Eva Optimizer: Escaping Low-Curvature Traps in Deep Learning. 112-127 - Xudong Xiong, Xiaohui Zhou, Yijie Wang:
DGI: Time Series Anomaly Detection by Injection of Anomaly Prior. 128-142 - Yuzuru Nakamura, Yasunori Ishii, Takayoshi Yamashita:
Few-Shot Adaptive Open-Set Object Detection with Personalized Scene Generation. 143-158 - Mohammad Shahedur Rahman, Mohammad Tahmid Bari, Md. Nasim Adnan, Arshad Parvez:
LiteAugNet: A Lightweight Semantic-Guided Augmentation Network for Efficient Edge-Level Image Classification. 159-174 - Tanapat Ratchatorn, Masayuki Tanaka:
EMASAM: a Computationally Efficient Sharpness-Aware Minimization via EMA-Guided Perturbations. 175-190 - Haozhuo Zhang, Bob Zhang, Pinxian Zeng:
MFANet: A Lightweight Network Combining CNN and Mamba for Medical Image Segmentation. 191-203 - Ivan DeAndres-Tame, Chengwei Ye, Ruben Tolosana, Ruben Vera-Rodriguez, Shiqi Yu:
Is Visual Realism Enough? Evaluating Gait Biometric Fidelity in Generative AI Human Animation. 204-219 - Jung In Kim, Jungmin Lee, Jaehoon Kim, Jongkook Heo, Jinyong Jeong, Seoung Bum Kim:
BugHunter: An Automated Game Test Framework with MARL-Based Data Collection and FDM-Based Bug Detection. 220-234 - Ji-Hyeon Kim, Ho-Joong Kim, Seong-Whan Lee:
ClipTBP: Clip-Pair Based Temporal Boundary Prediction with Boundary-Aware Learning for Moment Retrieval. 235-250 - Binh Long Nguyen, Kien Nguyen, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
Ilov3Splat: Instance-Level Open-Vocabulary 3D Scene Understanding in Gaussian Splatting. 251-266 - Emmanuel G. Maminta, Rowel O. Atienza:
What Matters for Grocery Product Retrieval with Open Source Vision Language Models. 267-281 - Shicheng Zhou, Zefeng Wang, Jikai Yu, Boyuan Wu, Jiayun Zhu:
ReCo-MIL: Rare-Enhanced Contextual Multiple Instance Learning. 282-296 - Shaohui Jin, Xiu Ye, Mengge Liu, Huimin Wang, Yang Lu, Hao Liu, Mingliang Xu:
NLOS-MT: A Hybrid Mamba and Windowed Attention Transformer for Non-Line-of-Sight Imaging. 297-311 - Cheng Feng, Chaoliang Zhong, Jun Sun, Yusuke Oishi:
Following the Teacher's Footsteps: Scheduled Checkpoint Distillation for Domain-Specific LLMs. 312-327 - Attila Szabó, Andrea Nestler, Matthias Spaeth, Rodrigo Weffer, Reza Shirvany:
ReturnRateNet: Neural Network-Based Estimation of Size-Related Return Rates in Fashion E-Commerce. 328-343 - Matheus Paula, Nevrez Imamoglu, Guillaume Caron, Antoine N. André:
FuseDPT: Multi-scale and Multi-projection Model for Learning Depth in 360$^\circ $C. 344-359 - Mariana Azevedo, Luc Brun, Pierre Héroux, Jean Luc Lamotte:
DotGreedX: Combining Scoring-Based Technique and Greedy Search for GNN Explainability. 360-374 - Joona Kareinen, Veikka Immonen, Tuomas Eerola, Lumi Haraguchi, Lasse Lensu, Kaisa Kraft, Sanna Suikkanen, Heikki Kälviäinen:
Cross-Modal Learning for Plankton Recognition. 375-390 - Xuanqi Wang, Zhang Zhang:
Risk-Field Constrained Reinforcement Learning for Safe Autonomous Driving. 391-405 - Yue Cao, Yong Huang, Wei Zhu, Yangzhou Liu, Zhe Chen, Guangchen Shi, Yong Fa, Yujie Yang, Song Mei, Tong Lu:
MMFuser: Multimodal Multi-layer Feature Fuser for Fine-Grained Vision-Language Understanding. 406-421 - Xianan Xie, Junbao Li, Yuanyuan Sheng, Huanyu Liu:
LLM-Guided Exploration for Sample-Efficient UAV Navigation. 422-436 - Paul Grimal, Hervé Le Borgne, Olivier Ferret:
Unique Step Refinement for Transformer-Based Generative Models. 437-451 - Furkan Kasim, Carlos Kirchdorfer, Salman Mohammad, Manuel Günther:
SelfXTFace: Attention Based Feature Pyramid Network in Face Detection. 452-467 - Haiwei Feng, Qi Zhang, Shuo Yang, Yutong Li, Ziye Xie, Zhiqun Xiao:
DK-MSP: Integrating Domain Knowledge Into Multi-stage Prompting Engineering for Aspect-Level Multimodal Sentiment Analysis. 468-482 - Jean Philippe Lemoine, Natàlia Segura-Alabart, Francesc Serratosa:
GraphExplainer: Explaining nodes, edges and attributes of Graph Neural Network predictions. 483-498 - Sijie Guo, Yandong Liu, Jing Dong, Pengfei Yi, Rui Liu, Xiaopeng Wei:
MoCoDiff: Modality-Aware Conditional Diffusion Model for 3D Brain Tumor Segmentation. 499-513 - Chungeng Qiao, Meiqi Zhang, Hongfa Huang, Yipeng Yin, Wei Xiao:
LLM-UMLS-PICO: A Large Language Model-Based PICO Extraction Method with UMLS Semantic Validation. 514-529 - Armin Dadras, Robert Sablatnig, Franziska Proksa, Markus Seidl:
Semantically Stable Image Composition Analysis via Saliency and Gradient Vector Flow Fusion. 530-544 - Elisabeth Jüttner, Janelle Pfeifer, Leona Krath, Stefan Korfhage, Hannah Dröge, Matthias B. Hullin, Markus Plack:
Yesnt: Are Diffusion Relighting Models Ready for Capture Stage Compositing? A Hybrid Alternative To Bridge the Gap. 545-559 - Imtiaz Ul Hassan, Nik Bessis, Ardhendu Behera:
TAG-Head: Time-Aligned Graph Head for Plug-and-Play Fine-Grained Action Recognition. 560-575 - Stuardo Lucho, Xavier Desquesnes, Remy Leconge, Sylvie Treuillet:
Gradient Consistency Focal Dice Loss and Multi-scale Attention for Accurate Segmentation of Mortar Joints in Stone Masonry. 576-590 - Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari:
There Is More to Attention: Statistical Filtering Enhances Explanations in Vision Transformers. 591-605 - Mathieu Dario, Florent Chenevier, Kevin Delmas, Joris Guérin, Jérémie Guiochet:
Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing. 606-628 - Saqib Nazir, Ardhendu Behera:
Towards Label-Free Single-Cell Phenotyping Using Multi-task Learning. 629-644 - Elijah Danquah Darko, Min Xian, Terence Soule, Tiankai Yao, Matthew William Anderson:
U-CFR: Uncertainty-Guided Cascade Forward Refinement for Interactive Segmentation. 645-660 - Maxim Henry, Adrien Deliège, Anthony Cioppa, Marc Van Droogenbroeck:
LinDeps: A Fine-Tuning Free Post-pruning Method to Remove Layer-Wise Linear Dependencies. 661-677 - Weiheng Lu, Jian Li, An Yu, Ming-Ching Chang:
LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval. 678-693 - Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork:
Seeing Inside Deep Treatment Effect Models: A Representation-Level Evaluation. 694-708 - Beyza Zayim, Emilia Skutunova, Taiabur Rahman, Nida Yardim, Salma Zarfaoui, Hanzala Daud, Alienor Vaudene, Binnaz Yalcin, Alain Lalande, Fabrice Mériaudeau, Stephan Collins:
Automatic Segmentation for 3D Morphometric Analysis of the Mouse Brain. 709-723
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