Multi-View Learning

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15 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment
Jun 24, 2026Salini Yadav, Taveena Lotey, Pravendra Singh +1Representation Learning EEG-Based Visual Decoding
Department of CSE IIT Roorkee, India · Department of CSE IIT (ISM) Dhanbad, India
G $^3$ VLA: Geometric inductive bias for Vision-Language-Action Models
Jun 23, 2026Yue Peng, Yongzhe Zhao, Artur Habuda +5Multi-View Learning Robotic Manipulation
New York University Shanghai · Technical University of Denmark · MBZUAI - Mohamed bin Zayed University of Artificial Intelligence
UniviewVLA: A Unified Multiview Vision-Language-Action Model with World Modeling
Jun 19, 2026Tao Xu, Runhao Zhang, Zhijian Huang +7World Models for Robotics Multi-View Learning
1Tongji University · 2Shanghai Innovation Institute · 4Xiaomi EV +1
UNIEGO: Proxies as Mediators for Unified Egocentric Video Representation Learning
Jun 18, 2026Wenhao Chi, Arkaprava Sinha, Dominick Reilly +2Cross-Modal Knowledge Distillation Multi-View Learning
University of North Carolina at Charlotte
OTCHA: Optimal Transport-driven Confidence-aware Latent Hub Alignment for Multi-View Medical Image Classification
Jun 18, 2026Jiwoong Yang, Haejun Chung, Ikbeom JangMulti-View Consistency Multi-View Learning
Hanyang University, Seoul, Republic of Korea · Hankuk University of Foreign Studies, Yongin, Republic of Korea
Rethinking Air-Ground Collaboration: A Progressive Cross-Task Benchmark and Socialized Learning Framework
Jun 17, 2026Zhoupeng Guo, Yunqi Zhu, Zhihe Fan +6Multi-View Learning Multi-Task Learning
School of Automation, Southeast University, Nanjing 210096, China · School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia · School of Sports Training, Tianjin University of Sport, Tianjin 301617, China +3
SkillMoV: Mixture-of-View Routing with Prototype-Conditioned Gating for Unified Multi-View Proficiency Estimation
Jun 16, 2026Edoardo Bianchi, Antonio LiottaMulti-View Learning Mixture-of-Experts Models
Free University of Bozen-Bolzano, Faculty of Engineering, Via Bruno Buozzi 1, Bozen-Bolzano, 39100, Italy
Trusted Multi-View Deep Learning Classification of Fetal Congenital Heart Disease with Feature-level and Decision-level Fusion
Jun 13, 2026Tan Zhou, Shifa Yao, Suncheng Xiang +2Multi-View Learning Medical Image Classification
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China · Department of Ultrasonography, the International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China · Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China +1
Multi-view feature High-order Fusion for Space Weak Object Detection and Segmentation
Jun 13, 2026Weilong Guo, Yuhan Sun, Shengyang LiImage Segmentation Multi-View Learning
Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China · Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing 100094, China · University of Chinese Academy of Sciences, Beijing 100049, China
Visual Quality Score Assessment of Large White Goods in Remanufacture with Multi-View Deformable-DETR
Jun 12, 2026Paul Koch, Vivek ChavanMulti-View Learning Industrial Inspection
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik (IPK), Pascalstraße 8-9, 10587 Berlin, Germany
Non-Parametric Machine Text Detection via Multi-View Gaussian Processes
Jun 12, 2026Aleem Khan, Nicholas AndrewsAI-Generated Text Detection Multi-View Learning
Department of Computer Science Johns Hopkins University
MAMVI: 3D Test-Time Adaptation via Masked Multi-View Point Clouds
Jun 11, 2026Inseok Kong, Geunyoung Jung, Jiyoung JungTest-Time Adaptation Point Cloud Classification
Department of Geo Informatics, University of Seoul · Department of Artificial Intelligence, University of Seoul
MV-Actor: Aligning Multi-View Semantics and Spatial Awareness for Bimanual Manipulation
Jun 9, 2026Yinchen Tian, Huan Li, Muyao Peng +3Bimanual Robotic Manipulation Multi-View Learning
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China · Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China · AIR Wuxi Innovation Center, Tsinghua University, Wuxi, China
A Cross-view Fusion Framework for Robust 6-DoF Grasp Pose Estimation
Jun 5, 2026Kangjian Zhu, Haobo Jiang, Jianjun Qian +1Robotic Grasping Point Cloud Learning
Nanjing University of Science and Technology · Nanyang Technological University · Nanjing University
Robust and sparse support vector machine via hybrid truncated loss for supervised classification
Jun 4, 2026Yuliang Yang, Chen Chen, Yuxiang Liu +1Multi-View Learning Robust Loss Functions
School of Science, Beijing Forestry University, No.35 Qinghua East Road, 100083 Haidian, Beijing, China · Translational Cancer Research Center, Peking University First Hospital, No. 8 Xishiku Street, 100034 Xicheng, Beijing, China
M2S-AVSR: Modality-aware Multi-view Self-supervised Representation for Robust Audio-Visual Speech Recognition
Jun 4, 2026Fei Su, Cancan Li, Ming Li +1Multimodal Robustness Audio-Visual Representation Learning
School of Artificial Intelligence and the School of Computer Science, Wuhan University, China · School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, China · School of Artificial Intelligence, Wuhan University, China
Beyond Missing Rates: Rethinking Incomplete Multi-View Clustering with Protocol Divergence
Jun 3, 2026Haolu Liu, Xiyue Wang, Xuanting Xie +2Missing-Modality Learning Learning with Missing Data
Motion-Guided Causal Disentanglement for Robust Multi-View Cine Cardiac MRI Diagnosis
Jun 3, 2026Chuankai Xu, Cristiane De Carvalho Singulane, Mohammad Abuannadi +10Disentangled Representation Learning Causal Representation Learning
University of Virginia, Charlottesville, VA, USA · University of Chicago, Chicago, IL, USA · Ohio State University, Columbus, OH, USA +5
Robust Multi-view Clustering against Imperfect Information
Jun 3, 2026Zhichao Huang, Haochen Zhou, Hao Wang +2Clustering Multi-View Learning
College of Computer Science, Sichuan University, China. · School of Artificial Intelligence, Sichuan University, China. · Tianfu Jincheng Laboratory, Chengdu, China.
AQIFormer: A Transformer-Based Multi-View Architecture for Cross-City Air Quality Classification
Jun 2, 2026Om Kathalkar, Nitin Nilesh, Sachin Chaudhari +1Multi-View Learning Air Quality Prediction
IIIT Hyderabad · India
Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations
Jun 1, 2026Xingyu Qu, Wenxuan Zhang, Peng HuMulti-View Learning Multi-View 3D Object Detection
Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada · Department of Electrical and Computer Engineering, Queen’s University, Kingston, Canada
Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
Jun 1, 2026Xiaolu Kang, Zhongyuan Wang, Jikang Cheng +5Evidential Deep Learning Multi-View Learning
School of Computer Science, Wuhan University, Wuhan, China · School of Integrated Circuits, Peking University, Beijing, China · School of Information, Huazhong Agricultural University, Wuhan, China +2
MViewRouter: Internalizing Geometric Equivariance via Multi-view Alternating Attention for Combinatorial Routing
May 31, 2026Shiyan Liu, Bohan Tan, Yaoxin Wu +1Traveling Salesperson Problem Multi-View Learning
Huazhong University of Science and Technology · Eindhoven University of Technology
A novel ordinal multi-view aggregation scheme for oak defoliation
May 27, 2026Francisco Bérchez-Moreno, Ricardo Enrique Hernández-Lambraño, David Guijo-Rubio +4Ensemble Learning Multi-View Learning
Departamento de Ciencia de la Computación e Inteligencia Artificial, Universidad de Córdoba, Campus Universitario de Rabanales, Edificio Albert Einstein. Ctra. N-IV, Km. 396, Córdoba, 14071, Andalucía, Spain · Department of Forest Engineering, Laboratory of Dendrochronology, Silviculture and Global Change – DendrodatLab, Universidad de Córdoba, Campus Universitario de Rabanales. Ctra. N-IV, Km. 396, Córdoba, 14071, Andalucía, Spain · Departamento de Teoría de la Señal y Comunicaciones, Universidad de Alcala, Escuela Politécnica. Campus Universitario. Ctra. Madrid-Barcelona, Km. 33,600, Madrid, 28805, Madrid, Spain +1
Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector
May 27, 2026Junhao Wei, Yanxiao Li, Bidong Chen +9Multi-View Learning Time-Series Anomaly Detection
Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China · 2Macao Polytechnic University, Macao SAR, China
EigeNet: Geometry-Informed Multi-Modal Learning for Few-shot Novel View RIR Prediction
May 27, 2026Chong Jing, Zitong Lan, Junan Zhang +1Multi-View Learning Few-Shot Learning
The Chinese University of Hong Kong, Shenzhen · University of Pennsylvania
Robust Fuzzy Multi-view Learning under View Conflict
May 23, 2026Siyuan Duan, Yuan Sun, Dezhong Peng +3Uncertainty Quantification Multi-View Learning
College of Computer Science, Sichuan University, Chengdu 610065, China · College of Computer Science, Sichuan University, Chengdu 610065, China, and also with the Tianfu Jincheng Laboratory, Chengdu 611130, China · Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK +1
What Linear Probes Miss: Multi-View Probing for Weight-Space Learning
May 22, 2026Eunwoo Heo, Kyeongkook Seo, Jaejun YooMulti-View Learning Weight-Space Analysis
Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
View-Aware Semantic Alignment for Aerial-Ground Person Re-Identification
May 18, 2026Quan Zhang, Zeqiang Cai, Peiming Zhao +4Multi-View Learning Person Re-Identification
Sun Yat-sen University, China · Pazhou Lab (HuangPu), Guangdong, China · Guangdong Province Key Laboratory of Information Security Technology, Guangzhou, China +1
MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling
May 18, 2026Kaichuan Kong, Dongjie Liu, Xiaobo Jin +1Multi-View Learning Anomaly Detection
College of Cyber Security, Jinan University, Guangzhou, China · School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China

Jun 24, 2026, cs.CVJ/K move · Enter open · S save

What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment

Salini Yadav, Taveena Lotey, Pravendra Singh, Partha Pratim Roy

Department of CSE IIT Roorkee, India · Department of CSE IIT (ISM) Dhanbad, India

Representation Learning EEG-Based Visual Decoding Cross-Modal Alignment Multi-View Learning

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Zero-shot visual decoding from electroencephalography (EEG) aims to infer visual semantics from non-invasive neural recordings, but remains challenging due to the low signal-to-noise ratio, non-stationarity, and limited spatial resolution of EEG. Existing EEG-vision alignment methods often rely on holistic EEG embeddings, which can obscure the complementary temporal, spectral, and spatial structure underlying visual perception. We introduce a unified multiview EEG representation learning framework for aligning brain responses with visual semantic embeddings. Our method builds an EEG encoder that jointly models three complementary views: input-conditioned state-space temporal dynamics, learnable wavelet-based spectral decomposition for sample-adaptive frequency modeling, and attention-modulated graph learning for structured electrode interactions. The resulting multiview EEG embeddings are fused and aligned with pretrained visual representations in a shared semantic space using contrastive learning with EEG-specific regularization, enabling 200-way zero-shot visual classification. Experiments on THINGS-EEG benchmark show that our method achieves state-of-the-art performance, with 54.8% Top-1 and 85.6% Top-5 accuracy in the within-subject setting and 15.3% Top-1 and 45.4% Top-5 accuracy in the cross-subject setting. We further present the first systematic cross-session EEG-image decoding evaluation, achieving 40.8% Top-1 and 78.0% Top-5 accuracy. These results suggest that explicitly modeling multiview neural structure improves both semantic alignment and generalization in EEG-based visual decoding.

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Latest papers 132