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27th ECAI 2024: Santiago de Compostela, Spain
- Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto José Bugarín Diz, Jose Maria Alonso-Moral, Senén Barro, Fredrik Heintz:
ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). Frontiers in Artificial Intelligence and Applications 392, IOS Press 2024, ISBN 978-1-64368-548-9 - José Hernández-Orallo:
Caveats and Solutions for Characterising General-Purpose AI. 2-9 - Maria Vanina Martinez:
Back to the Future: Symbolic Reasoning to Combat Malicious Use of Social Media. 10-16 - Marco Montali:
AI for Declarative Processes: Representation, Mining, Synthesis. 17-24 - Ana Ozaki:
Actively Learning from Machine Learning Models with Queries and Counterexamples (Extended Abstract). 25-26 - Dominik Peters:
Proportional Representation for Artificial Intelligence. 27-31 - Roxana Radulescu:
The World is a Multi-Objective Multi-Agent System: Now What? 32-38 - Jendrik Seipp:
Dissecting Scorpion: Ablation Study of an Optimal Classical Planner. 39-42 - Tomasz Trzcinski, Bartlomiej Twardowski, Bartosz Zielinski, Kamil Adamczewski, Bartosz Wójcik:
Zero-Waste Machine Learning. 43-49 - Gregor Behnke:
Contributions to the Journal Track. 51-54 - Qifeng Zhang, Changjian Chen, Zhizhong Liu, Zhuo Tang:
I-Adapt: Using IoU Adapter to Improve Pseudo Labels in Cross-Domain Object Detection. 57-64 - Ruixiao Zhang, Yihong Wu, Juheon Lee, Xiaohao Cai, Adam Prügel-Bennett:
Detect Closer Surfaces That Can be Seen: New Modeling and Evaluation in Cross-Domain 3D Object Detection. 65-72 - Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Longin Jan Latecki:
FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding. 73-80 - Peizhou Huang, Zixuan Zhong, Pengjie Wang, Xiangyu Wang, Xiang Chen:
Learning A Closed-Loop Bidirectional Scale-Recurrent Network for Image Deraining. 81-88 - Mengke Li, Da Li, Guoqing Yang, Yiu-ming Cheung, Hui Huang:
Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers. 89-96 - Wei Tan, Yifeng Geng, Xuansong Xie:
FMViT: A Multiple-Frequency Mixing Vision Transformer. 97-104 - Fuyi Wang, Jinzhi Ouyang, Lei Pan, Leo Yu Zhang, Xiaoning Liu, Yanping Wang, Robin Doss:
TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation. 105-112 - Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai, Kazuyuki Demachi:
An Animation-Based Augmentation Approach for Action Recognition from Discontinuous Video. 113-120 - Xingyu Song, Zhan Li, Shi Chen, Kazuyuki Demachi:
Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-Supervised Training. 121-128 - Zhiwei Lin, Hongbo Jin, Yongtao Wang, Yufei Wei, Nan Dong:
TEOcc: Radar-Camera Multi-Modal Occupancy Prediction via Temporal Enhancement. 129-136 - Zinan Lv, Dong Han, Wenzhe Wang, Danny Z. Chen:
SinLane: Siamese Visual Transformer via Pyramid Feature Integration for Lane Detection. 137-144 - Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang:
SaccadeMOT: Enhancing Object Detection and Tracking in Gigapixel Images via Scale-Aware Density Estimation. 145-152 - Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang:
CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation. 153-160 - Tianyi Xu, Yijie Zhou, Xiaotao Hu, Kai Zhang, Anran Zhang, Xingye Qiu, Jun Xu:
Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution. 161-168 - Seungyeon Choi, Sangmin Seo, Sanghyun Park:
SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction. 169-176 - Haichuan Zhao, Peng Du, Xudong Ru, Zhongke Wu, Xingce Wang:
Semantic Augmentation on Motion Manifold for Single-Stream Unsupervised Action Recognition. 177-185 - Zhuoru Li, Jian Xiao, Xiaowei Bai, Xiaodong Wang, Yingxi Li, Zhenyu Fang, Liang Xie, Ye Yan, Erwei Yin:
Complex-Valued Gabor-Attention Residual Fusion Network for Iris Recognition. 186-193 - Yihong Liu, Zishang Chen, Yukang Cui, Piji Li:
Segmentation-Driven Image Enhancement Based on Deep Reinforcement Learning. 194-201 - Shibo Jie, Zhi-Hong Deng, Shixuan Chen, Zhijuan Jin:
Convolutional Bypasses Are Better Vision Transformer Adapters. 202-209 - Xinyu Liu, Wenqiang Zhou, Zhendong Yu, Jiaming Yang, Tao Wang, Chenwei Tang, Jiancheng Lv:
BOB-YOLO: Balancing Optimization Binarized YOLO via Module-Wise Latency. 210-217 - Yujie Diao, Ruiguo Yu, Xuewei Li, Yilong Fan, Zhiqiang Liu, Mei Yu, Chenhan Wang, Jie Gao:
Pixel-wise Reclassification with Prototypes for Enhancing Weakly Supervised Semantic Segmentation. 218-225 - Lei Kang, Fei Yang, Kai Wang, Mohamed Ali Souibgui, Lluís Gómez, Alicia Fornés, Ernest Valveny, Dimosthenis Karatzas:
GRIF-DM: Generation of Rich Impression Fonts Using Diffusion Models. 226-233 - Zherui Zhang, Changwei Wang, Rongtao Xu, Wenhao Xu, Shibiao Xu, Li Guo, Jiguang Zhang, Xiaoqiang Teng, Wenbo Xu:
MIM-HD: Making Smaller Masked Autoencoder Better with Efficient Distillation. 234-241 - Yin Tang, Wei Luo, Jinrui Zhang, Wei Huang, Ruihai Jing, Deyu Zhang:
MultiCounter: Multiple Action Agnostic Repetition Counting in Untrimmed Videos. 242-249 - Pei Yu, Changhao Lai, Cong Hu, Shan Liu, Liang Zhang, Biao Fu, Yidong Chen:
Improving Non-Autoregressive Sign Language Translation with Random Ordering Progressive Prediction Pretraining. 250-257 - Ming Sun, Lihua Jing, Zixuan Zhu, Rui Wang:
MakeupAttack: Feature Space Black-Box Backdoor Attack on Face Recognition via Makeup Transfer. 258-265 - Yuzheng Tan, Guangneng Hu, Shuxin Zhang:
MAMO: Multi-Task Architecture Learning via Multi-Objective and Gradients Mediative Kernel. 266-273 - Jingyi Yang, Zitong Yu, Xiuming Ni, Jia He, Hui Li:
Generalized Face Anti-Spoofing via Finer Domain Partition and Disentangling Liveness-Irrelevant Factors. 274-281 - Mushui Liu, Bozheng Li, Yunlong Yu:
OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning. 282-289 - Duy Le Dinh Anh, DKim Hoang Tran, DNgan Hoang Le:
TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT. 290-297 - Taehee Kim, Yeongjae Cho, Heejun Shin, Yohan Jo, Dongmyung Shin:
Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model. 298-305 - Zhongzhen Huang, Linda Wei, Shaoting Zhang, Xiaofan Zhang:
Modality-Aware and Shift Mixer for Multi-Modal Brain Tumor Segmentation. 306-313 - Andrei Jarca, Florinel-Alin Croitoru, Radu Tudor Ionescu:
CBM: Curriculum by Masking. 314-321 - Junjie Wu, Mingjie Sun, Chen Gong, Nan Yu, Guohong Fu:
PromptCD: Coupled and Decoupled Prompt Learning for Vision-Language Models. 322-329 - Shijie Li, Yunbin Tu, Yu Gong, Bowen Zhong, Zheng Li:
Dual Attention Encoder with Joint Preservation for Medical Image Segmentation. 330-337 - Jing Zhou, Chengcheng Guo, Ying Ji:
RFDFM: A Deep Factorization Machine Network Model for Invasive Lung Adenocarcinoma Screening in CT Images. 338-345 - Zhenhang Li, Yan Shu, Weichao Zeng, Dongbao Yang, Yu Zhou:
First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text Blending. 346-353 - Kunzi Xie, Ruoyu Guo, Cong Cong, Maurice Pagnucco, Yang Song:
Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning. 354-361 - Jiahe Chen, Jiahe Ying, Shen Wang, Jianwei Zheng:
Decoupled Competitive Framework for Semi-Supervised Medical Image Segmentation. 362-369 - Bingfeng Zhang, Siyue Yu, Xuru Gao, Mingjie Sun, Eng Gee Lim, Jimin Xiao:
Adversarial Erasing Transformer for Weakly Supervised Semantic Segmentation. 370-377 - Hui Ding:
Sinogram-Image Dual-Domain Network for Robust Metal Artifact Reduction in CT Image. 378-385 - Teng Zhou, Yongchuan Tang:
TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion Models. 386-393 - Rakhoon Hwang, Seungtae Park, Hyung Ju Hwang:
Solving PDEs on Point Clouds by Physics-Informed Learning with Graph Neural Networks. 394-402 - Chen Wang, Yafei Qi, Qi Li, Huawen Liu:
LGAD: Local and Global Attention Distillation for Efficient Semantic Segmentation. 403-410 - Yongzhu Miao, Jintao Tang, Shasha Li, Ting Wang:
MPT4LM: Multi-Modal Prompt Tuning Makes Pre-Trained Large Language Models Better Vision-Language Learners. 411-418 - Wuti Xiong, Guoying Zhao, Xiaobai Li:
Exemplar-Free Incremental Deepfake Detection. 419-426 - Wenkang Fan, Wenjing Jiang, Hao Fang, Hong Shi, Jianhua Chen, Xiongbiao Luo:
DCTAN: Densely Convolved Transformer Aggregation Networks for Monocular Dense Depth Prediction in Robotic Endoscopy. 427-434 - Jinghuai Jie, Yan Guo, Guixing Wu, Junmin Wu, Baojian Hua:
EdgeNAT: Transformer for Efficient Edge Detection. 435-442 - Zheng Wang, Xiankang He, Kaiyang Lan, Ying Cui, Dongyan Guo:
TDCL: Dense Semantic Contrastive Learning for Vision-Language Tracking. 443-450 - Hongbo Zhu, Theodor Wulff, Rahul Singh Maharjan, Jinpei Han, Angelo Cangelosi:
Noise-Free Explanation for Driving Action Prediction. 451-458 - Salah-eddine Laidoudi, Madjid Maidi, Samir Otmane:
Real-Time Indoor Object Detection Based on Hybrid CNN-Transformer Approach. 459-466 - Zheyu Zhang, Xinzhao Liu, Zheng Chen, Yueyi Zhang, Huanjing Yue, Yunwei Ou, Xiaoyan Sun:
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities. 467-474 - Guangyu Li, Hai Cao, Houjun Wang, Weili Guo, Chen Gong:
MFF-YOLO: Multi-scale Feature Fusion Network for Small Ship Detection in Night Scenes. 475-481 - Kun Hu, Qingle Zhang, Maoxun Yuan, Yitian Zhang:
SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network for Infrared and Visible Image Fusion. 482-489 - Xiao Guo, Hangfei Li, Yufei Zha, Peng Zhang:
Unidirectional Cross-Modal Fusion for RGB-T Tracking. 490-497 - Shengjia Zhang:
Crafting Lifelike Avatars: Model Compression and Advanced Rendering Techniques. 498-504 - Xiang Ying, Jizhe Zhang, Jie Gao, Mei Yu, Ruixuan Zhang, Jialin Zhu, Xuewei Li, Ruiguo Yu:
Uncertainty-Guided Dual Task Framework for Semi-Supervised Segmentation of Thyroid Nodules. 505-512 - Wenxiang Jiang, Hanwei Zhang, Shuo Zhao, Zhongwen Guo, Hao Wang:
IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields. 513-520 - Julian Spravil, Sebastian Houben, Sven Behnke:
HyenaPixel: Global Image Context with Convolutions. 521-528 - Jan Rodziewicz-Bielewicz, Marcin Korzen:
Sparse Convolutional Neural Network for Localization and Orientation Prediction and Application to Drone Control. 529-536 - Ziyang Xu, Huangxuan Zhao, Ziwei Cui, Wenyu Liu, Chuansheng Zheng, Xinggang Wang:
MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images. 537-544 - Wei Zhu, Yicheng Liu, Yuping He, Tangfei Liao, Kang Zheng, Xiaoqiu Xu, Tao Wang, Tong Lu:
CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning. 545-552 - Yushe Cao, Siwen Jiao, Penghao Sun, Baoyun Peng, Dianxi Shi, Yuanchun Shi:
MEFusion: Unsupervised Mutual Enhancement for Multimodal Image Fusion. 553-560 - Haichuan Zhao, Xudong Ru, Peng Du, Shaolong Liu, Na Liu, Xingce Wang, Zhongke Wu:
High-Quality Human Motion Prediction Using Size Invariant Motion Space. 561-568 - Tong Wu, Yanbin Liu, Sira Yongchareon:
Class-Aware Sample Weight Learning for Cross-Modal Unsupervised Domain Adaptation in Cross-User Wearable Human Activity Recognition. 569-576 - Chenglong Liu, Jintao Liu, Haorao Wei, Jinze Yang, Liangyu Xu, Yuchen Guo, Lu Fang:
Detecting Objects as Cascade Corners. 577-584 - Fangyuan Zhang, Tianxiang Pan, Yu-Wing Tai, Bin Wang:
Boundary-Enhanced Instance Segmentation. 585-592 - Zhi Feng, C. L. Philip Chen, Shiting Xu, Tong Zhang:
Spatial and Frequency-Based Feature Reconstruction for Cross-Database Micro-Expression Recognition. 593-600 - Jihui Lee, Quoc-Vinh Lai-Dang, Neha Sengar, Dongsoo Har:
Robust Monocular Depth Estimation in Adverse Weather Conditions by Unsupervised Domain Adaptation. 601-608 - Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl:
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. 609-617 - Jinjin Xu, Liwu Xu, Yuzhe Yang, Xiang Li, Fanyi Wang, Yanchun Xie, Yi-Jie Huang, Yaqian Li:
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model. 618-625 - Afnan Althoupety, Li-Yun Wang, Wu-Chi Feng, Banafsheh Rekabdar:
Night-to-Day: Unpaired Image-to-Image Translation for Nighttime Pedestrian Detection. 626-633 - Xiangyu Li, Yunchuan Qin, Ruihui Li, Guanghua Tan, Zhuo Tang, Kenli Li:
MC-SORT: A Motion Correction-Based Framework for Long-Term Multiple Object Tracking. 634-641 - Xiao Chen, Qihui Zhang, Yan Wang:
Cliff: Leveraging Ambiguous Samples for Enhanced Test-Time Adaptation. 642-649 - Zoya Volovikova, Alexey Skrynnik, Petr Kuderov, Aleksandr I. Panov:
Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments. 650-657 - Ruxandra Barbulescu, Tiago Marques, Arlindo L. Oliveira:
Contribution of V1 Receptive Field Properties to Corruption Robustness in CNNs. 658-665 - Boyu Wang, Yue Ma, Qinru Qiu:
Prompt-Based Domain Incremental Learning with Modular Classification Layer. 666-672 - Haotian Liu, Chenhui Pan, Yang Liu, Guoying Zhao, Xiaobai Li:
Unified Video and Image Representation for Boosted Video Face Forgery Detection. 673-680 - Nam Quan Nguyen, Xuan Phong Pham, Tuan Anh Tran:
RTSR: A Real-Time Table Structure Recognition Approach. 681-687 - Álvaro S. Hervella, José Rouco, Jorge Novo, Clara I. Sánchez, Marcos Ortega:
Recurrent Task Specialization Network for Segmentation-aided Vascular Landmarks Detection in Retinal Images. 688-695 - Mahisha Ramesh, Astha Verma, Rajiv Ratn Shah, Roger Zimmermann, Shin'ichi Satoh:
Unveiling Learner Dynamics: The ECLIPSE Dataset and NeuralGaze Framework for Prolonged Engagement Assessment in Online Learning. 696-703 - Zhihang Liu, Qiang Huang, Yingying Zhu:
CLIP-based Cross-Level Semantic Interaction and Recombination Network for Composed Image Retrieval. 704-711 - Harry H. Beyel, Sovin Manuel, Wil M. P. van der Aalst:
ActivityGen: Extracting Enabled Activities from Screenshots. 712-720 - Zijia Wang, Zhi-Song Liu:
StyleMamba: State Space Model for Efficient Text-Driven Image Style Transfer. 721-728 - Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models. 729-736 - Ayan Banerjee, Sandeep K. S. Gupta:
Recovering Implicit Physics Model Under Real-World Constraints. 737-744 - Chihan Huang:
Progressive Artistic Aesthetic Enhancement For Chinese Ink Painting Style Transfer. 745-752 - Yuhui Wang, Bo Peng, Tianyi Qin, Jiahui Song, Xu Zhang:
Few-Shot Object Detection with Instance Feature Generation and Hybrid Contrastive Learning. 753-760 - Xiang Gu, Shuchao Pang, Anan Du, Yifei Wang, Jixiang Miao, Jorge Díez:
Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models. 761-768 - Leila Amgoud, Martin C. Cooper, Salim Debbaoui:
Axiomatic Characterisations of Sample-based Explainers. 770-777 - Preston K. Robinette, Daniel Moyer, Taylor T. Johnson:
Sanitizing Hidden Information with Diffusion Models. 778-785 - Léo Saulières, Martin C. Cooper, Florence Dupin de Saint-Cyr:
Backward Explanations via Redefinition of Predicates. 786-793 - Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci:
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. 794-801 - Piotr Wilczynski, Wiktoria Mieleszczenko-Kowszewicz, Przemyslaw Biecek:
Resistance Against Manipulative AI: Key Factors and Possible Actions. 802-809 - Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou:
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. 810-817 - Guy Amir, Shahaf Bassan, Guy Katz:
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation. 818-825 - Francesco Sovrano, Giulia Vilone:
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis. 826-833 - Roberto Pagliari, Peter Hill, Po-Yu Chen, Maciej Dabrowny, Tingsheng Tan, Francois Buet-Golfouse:
A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence. 834-841 - Lingfeng Zhang, Min Zhang:
Making Fair Classification via Correlation Alignment. 842-849 - Thao Le, Tim Miller, Liz Sonenberg, Ronal Singh:
Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence. 850-857 - Yang Qiu, Wei Liu, Jun Wang, Ruixuan Li:
PAGE: Parametric Generative Explainer for Graph Neural Network. 858-865 - Matteo Bortoletto, Constantin Ruhdorfer, Lei Shi, Andreas Bulling:
Explicit Modelling of Theory of Mind for Belief Prediction in Nonverbal Social Interactions. 866-873 - Aðalsteinn Pálsson, Yngvi Björnsson:
Empirical Evaluation of Concept Probing for Game-Playing Agents. 874-881 - Manh Khoi Duong, Stefan Conrad:
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers. 882-889 - Pirmin Lemberger, Antoine Saillenfest:
Explaining Text Classifiers with Counterfactual Representations. 890-897 - Shuhao Guan, Derek Greene:
Synthetically Augmented Self-Supervised Fine-Tuning for Diverse Text OCR Correction. 898-905 - Zichong Wang, Wenbin Zhang:
Group Fairness with Individual and Censorship Constraints. 906-913 - Alessio Ragno, Marc Plantevit, Céline Robardet, Roberto Capobianco:
Transparent Explainable Logic Layers. 914-921 - Yun Jang:
Time Series Imputation with Multivariate Radial Basis Function Neural Network. 922-929