Visual Attention

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2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

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Latest papers 38

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Grounded Joint-Attention Other-Play for Zero-Shot Coordination
Oct 5, 2026Giulia Benintendi, Constantin Ruhdorfer, Fabian Kögel +1Multi-Agent Coordination Visual Attention
University of Zurich · University of Stuttgart
Eyes on the Road: A Naturalistic Comparison of MTW Rider Gaze in Urban Indian Traffic
Sep 27, 2026Prerak Srivastava, Bhaiya Vaibhaw Kumar, Kavita VemuriVisual Attention Eye Tracking
IIIT Hyderabad Hyderabad, India
Event-based Selective Attention for Multi-resolution Fast Region of Interest (ROI) Detection
Sep 15, 2026Luca Peres, Giulia D'Angelo, Chiara Bartolozzi +1Event-Based Vision Visual Attention
Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Prague, Czech Republic · Istituto Italiano di Tecnologia Genoa, Italy
Visual Attention Faithfulness in Vision-Language Models is Heterogeneous
Sep 1, 2026Xurui Song, Weishi Wang, Zhongqi Yue +5VLM Evaluation Visual Question Answering
SAP · Microsoft · College of Computing and Data Science, Nanyang Technological University, Singapore
Attention from Action, for Action: Emergent Visual Bottlenecks for Policy Learning
Aug 13, 2026Zheyu Zhuang, Ruiyu Wang, Nick Heppert +4Visual Attention Visuomotor Policy Learning
Department of Robotics, Perception and Learning, KTH Royal Institute of Technology, Sweden · Department of Computer Science, University of Freiburg, Germany · Department of Informatics, Universität Hamburg, Germany
Human versus Computer Vision
Aug 10, 2026Elena SirotkinaVisual Attention Algorithmic Fairness
Center for Data Science New York University
Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Pruning
Aug 4, 2026Yuyao Sun, Tao Deng, Shuang Li +3Visual Attention Efficient VLM Inference
Beihang University · Shanghai EABOT Technology Co., Ltd.
Memory for Attention: Language-Conditioned Re-Perception with a Vision--Language--Motion Map
Jul 26, 2026Dibyendu GhoshActive Perception Visual Attention
Dibyendu Ghosh
GuidedAttention: Interpretable and Correctable Visual Attention for OOD-Robust Robot Manipulation via Imitation Learning
Jul 23, 2026Masaki Murooka, Ryoichi Nakajo, Keisuke Shirai +4Visual Attention Robot Skill Learning
CNRS-AIST JRL (Joint Robotics Laboratory), IRL, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8560, Japan · Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan
Attention-Guided Saliency Maps for Interpreting Visualization Literacy in VLMs
Jul 17, 2026Maeve Hutchinson, Abderrahmane Wassim Mehdaoui, Pranava MadhyasthaData Visualization Visual Attention
City St George’s · City St George’s, University of London · The Alan Turing Institute
TDSal: Task-Based Top-Down Saliency Prediction Model
Jul 10, 2026Can Mizrakli, Tolga K. CapinVisual Attention Salient Object Detection
Karlsruhe Institute of Technology, Germany · TED University, Türkiye
Sparse Attention for Dense Open-Vocabulary Prediction in CLIP
Jul 8, 2026Fatimah Zohra, Chen Zhao, Shuming Liu +1Visual Attention Fine-Grained Image Retrieval
King Abdullah University of Science and Technology (KAUST) · Harbin Institute of Technology, Shenzhen
An Event-Driven Framework for Fly-Inspired Visual Motion Detection
Jul 6, 2026Qinbing Fu, Jingyu Huang, Yan Xie +2Event-Based Vision Visual Attention
School of Mathematics and Information Science, Guangzhou University, China
Modeling the Impact of Visual Brand Language on Attention, Object Recognition, and Memory Retrieval
Jul 3, 2026Rachel F. Heaton, John E. HummelVisual Attention
University of Illinois Urbana-Champaign
DeepGaze3.5-VL: Modeling Scanpaths via Autoregressive Token Prediction
Jul 2, 2026Susmit Agrawal, Matthias Bethge, Matthias KümmererVisual Attention Attention Mechanisms
University of Tübingen · Tübingen AI Center · IMPRS-IS
CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification
Jul 1, 2026Si-Yuan Lu, Hanruo Zhu, Ziquan Zhu +6Visual Attention Medical Image Analysis
Nanjing University of Posts and Telecommunications, Nanjing, China · University of Leicester, Leicester, UK · University of Exeter, Exeter, UK +1
See Only When Needed: Context-Aware Attention Intervention for Mitigating Hallucinations in LVLMs
Jun 29, 2026Yuqing Lei, Wenbo Lyu, Yingjun Du +3Visual Attention Large Vision-Language Models
University of Chinese Academy of Sciences · University of Amsterdam · United Imaging Healthcare Co., Ltd.
DnA: Denoising Attention for Visual Tasks
Jun 25, 2026Ron Campos, Subhajit Maity, Xin Li +2Visual Attention Vision Transformer
University of Central Florida, USA · University of North Carolina at Charlotte, USA
Listening makes Vision Clear for VLMs
Jun 22, 2026Yiyang Chen, Yixin Tan, Binrui ShenVLM Evaluation Visual Attention
Beijing Normal University
Attention Alignment Between Humans and Vision-Language Models
Jun 16, 2026Isaac R. Christian, Udith Haputhanthrige, Hanna Hornfeld +4VLM Evaluation Visual Attention
Princeton Neuroscience Institute, Princeton University · Department of Psychology, Princeton University · Department of Computer Science, Princeton University +2
Gaze Heads: How VLMs Look at What They Describe
Jun 12, 2026Rohit Gandikota, David BauImage Captioning Visual Attention
Northeastern University
RATS! Patches Talk Through Registers: Emergent Parts in Register Attention Transformers
Jun 12, 2026Timing Yang, Predrag Neskovic, Jansen Seheult +4Visual Attention Visual Representation Learning
1Johns Hopkins University · 2Office of Naval Research, Arlington, VA · Department of Laboratory Medicine and Pathology, Mayo Clinic,FLOPs (G)MN, USA
Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension
Jun 11, 2026Shenglai Zeng, Qirui Wang, Kai Guo +3VLM Robustness Visual Attention
Michigan State University · Xi’an Jiaotong University
Attend to Anything: Foundation Model for Unified Human Attention Modeling
Jun 2, 2026Wenzhuo Zhao, Ronghao Xian, Keren Fu +1Visual Attention Unified Multimodal Models
College of Computer Science, Sichuan University, Chengdu, 610065, China · National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, 610065, China
$A^2$ : Smaller Self-Supervised ViTs Localize Better than Larger Ones
Jun 2, 2026Sreehari Rammohan, Huy Ha, Carl VondrickVisual Attention Vision Transformer
a Columbia University · b Stanford University
VisionPulse: Dynamic Visual Sparsity for Efficient Multimodal Reasoning
May 29, 2026Hengbo Xu, Shengjie Jin, Yanbiao Ma +1Efficient Multimodal Inference Visual Attention
Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China.
Improved Belief-Attention in Vision Task
May 22, 2026Guoqiang ZhangVisual Attention Self-Attention
University of Exeter
RAVE: Re-Allocating Visual Attention in Large Multimodal Models
May 18, 2026Xi Leng, Xinhong Ma, Ziqiang Dong +4Visual Attention Self-Attention
Qwen Business Unit of Alibaba · The Chinese University of Hong Kong, Shenzhen · Beijing Institute of Technology
Why We Look Where We Look: Emergent Human-like Fixations of a Foveated Visual Language Model Maximizing Scene Understanding
May 18, 2026Shravan Murlidaran, Ziqi Wen, Sana Shehabi +1Visual Attention Large Vision-Language Models
Psychological & Brain Sciences, University of California, Santa Barbara & 93106, USA. · Computer Science, University of California, Santa Barbara & 93106, USA. · Electrical and Computer Engineering, University of California, Santa Barbara & 93106, USA.
FastOCR: Dynamic Visual Fixation via KV Cache Pruning for Efficient Document Parsing
May 17, 2026Zihan Tang, Leqi Shen, Hui Chen +7Visual Attention Efficient VLM Inference
Zihan Tang1∗† · Leqi Shen1∗ · Hui Chen1 +7
Towards Gaze-Informed AI Disclosure Interfaces: Eye-Tracking Attentional and Cognitive Load While Reading AI-Assisted News
May 14, 2026Pooja Prajod, Hannes Cools, Thomas Röggla +2Visual Attention Human-Centered AI
Centrum Wiskunde & Informatica Amsterdam, The Netherlands · University of Amsterdam Amsterdam, The Netherlands · TU Delft +1
Learning to See What You Need: Gaze Attention for Multimodal Large Language Models
May 13, 2026Junha Song, Byeongho Heo, Geonmo Gu +3Efficient Multimodal Inference Visual Attention
1KAIST · 2NAVER AI Lab
What-Where Transformer: A Slot-Centric Visual Backbone for Concurrent Representation and Localization
May 12, 2026Ryota Yoshihashi, Masahiro Kada, Satoshi Ikehata +2Visual Attention Vision Transformer
Institute of Science Tokyo · 2DENSO IT Laboratory · 3National Institute of Informatics
Neuromorphic visual attention for Sign-language recognition on SpiNNaker
May 7, 2026Sarka Liskova, Olha Vedmedenko, Mazdak Fatahi +3Event-Based Vision Visual Attention
Dept. of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic · Faculty of Information Technology, Czech Technical University in Prague, Czech Republic
Foveated Reasoning: Stateful, Action-based Visual Focusing for Vision-Language Models
Apr 22, 2026Juhong Min, Lazar Valkov, Vitali Petsiuk +2Visual Attention Efficient VLM Inference
AI Center – Mountain View, Samsung Electronics
Cognitive Alignment At No Cost: Inducing Human Attention Biases For Interpretable Vision Transformers
Apr 21, 2026Ethan KnightsTransformer Interpretability Visual Attention
Cambridge, UK
Dispatch-Aware Ragged Attention for Pruned Vision Transformers
Apr 16, 2026Seifeldin Abdellatif, Ahmad AlmasriEfficient Transformer Inference Visual Attention
College of Engineering Al Ain University Abu Dhabi, United Arab Emirates
Debiasing Central Fixation Confounds Reveals a Peripheral "Sweet Spot" for Human-like Scanpaths in Hard-Attention Vision
Feb 16, 2026Pengcheng Pan, Yonekura Shogo, Yasuo KuniyoshVisual Attention Eye Tracking
Department of Mechano-Informatics, The University of Tokyo

Oct 5, 2026, cs.AIJ/K move · Enter open · S save

Grounded Joint-Attention Other-Play for Zero-Shot Coordination

Giulia Benintendi, Constantin Ruhdorfer, Fabian Kögel, Andreas Bulling

University of Zurich · University of Stuttgart

Multi-Agent Coordination Visual Attention Cooperative MARL

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Joint attention - the human ability to share a common visual or cognitive focus with others - enables a meeting of minds that lets us coordinate even with unfamiliar partners. In this work we investigate whether equipping AI agents with a similar mechanism can enable such zero-shot coordination. We introduce Mutual Attention for zero-shot TEaming (MATE): a novel multi-agent reinforcement learning method inspired by human joint attention. MATE encourages agents to coordinate their actions by aligning their visual attention on scene-salient objects during the interaction rather than relying on arbitrary partner-dependent conventions established during training. Unlike symmetry-breaking approaches that merely prevent brittle conventions from emerging, MATE actively promotes coordination through an environment-grounded signal that is naturally shared across partners. We evaluate MATE on three benchmarks: our Card Alignment Game, designed to isolate brittle convention formation, and the more challenging Level-Based Foraging and OvercookedV2 benchmarks. Our experiments consistently show that a joint-attention-inspired signal improves coordination with unknown partners, underlining MATE's potential as a general coordination mechanism that complements and surpasses symmetry-breaking approaches.

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Latest papers 38