Visual Cues

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5 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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Latest papers 33

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Diff-RF: Mutually Reinforced Image Registration and Fusion via Degradation-Aware Learning
Sep 23, 2026Xunpeng Yi, Zaixi Du, Qinglong Yan +3Visible Image Fusion Query-Specific Degradation-Aware Representation
Electronic Information School, Wuhan University, Wuhan 430072, China
Visual Cue Guided Video Planning for Generalizable Robot Navigation
Sep 15, 2026Hojin Lee, Sizhe Lester Li, Maximilian Hilger +4Object Goal Navigation Robot Navigation
Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, 80797 Munich, Germany. · Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA 02139, USA. · Centre for Applied Autonomous Sensor Systems (AASS), Örebro University, 72081 Örebro, Sweden.
From Model Patterns to Abstract Semantics in Compositional Zero-Shot Learning
Sep 14, 2026Weize Li, Zhicheng Zhao, Fei SuZero-Shot Composed Image Retrieval Zero-Shot
Beijing University of Posts and Telecommunications · Beijing Key Laboratory of Network System and Network Culture · Key Laboratory of Interactive Technology and Experience System
Localized Visual Feature Aggregation via Focus Pooling for Visuomotor Policies
Sep 8, 2026Ruiyu Wang, Zheyu Zhuang, Danica Kragic +1Visuomotor Policy Global Average Pooling
KTH Royal Institute of Technology, Sweden
InfluenceField: A Differentiable Field with Interventionally Identifiable Causal Structure for Multimodal World Modeling
Sep 7, 2026Zihao Yang, Zijia Wang, Zhiqiu HuangLatent Feature Interventions Multimodal Large Language Models
Mathematical Institute, University of Oxford · Department of Computer Science, University of Oxford · School of Mathematical Sciences, University of Nottingham Ningbo China
From Visual Cues to Spoken Narration: Rethinking Audio Description
Sep 1, 2026Akshita Gupta, Aditya Arora, Federico Tombari +2Video Captioning Audio Understanding
TU Darmstadt & hessian.AI, Darmstadt, Germany · Google Research · TU Munich
GAFT: Geo-Anchored Fine-Tuning for Hazard Identification from Rare Failures
Aug 31, 2026Yanran Xu, Chuanhang Qiu, Yue Wang +2Hazard Visual Cues
University of Southampton, Southampton, United Kingdom
Investigating the Visual Cues of CNNs for Vascular Segmentation: A Case Study in Microscopy and Fundus Imaging
Jul 25, 2026Weslley dos Santos Silva, Cesar Henrique CominVessel Segmentation Fundus Images
Department of Computer Science, Federal University of São Carlos, São Carlos, SP, Brazil
ViSTR-Bench: Can MLLMs Reason from Continuous Visual Cues in Dynamic Scenes?
Jul 23, 2026Han Li, Si Liu, Zehao Huang +6Spatio-Temporal Reasoning Multimodal Large Language Models
School of Artificial Intelligence, Beihang University, Beijing 100191, China · Zhongguancun Academy, Beijing 100094, China · School of Engineering, Westlake University, Hangzhou 310030, China
Open Your Model's Eyes: Video and Context-Aware Multimodal Backchannel Prediction
Jul 22, 2026Min-Jae Kim, Jun-Yeong Moon, Mujeen Sung +1Multimodal Alignment Visual Cues
1Korea University, Seoul, Republic of Korea · 2Kyung Hee University, Yongin, Republic of Korea
Spotted: Location-informed Reidentification of Hyenas and Leopards in Camera Trap Surveys
Jul 1, 2026Halil Sina Kelebek, Julia Hindel, Kobus Hoffman +9Animal Re-Identification Re-Identification
Oxford Robotics Institute, University of Oxford, Oxford, UK · Department of Computer Science, University of Freiburg, Germany · Bubye Valley Conservancy, Zimbabwe +3
Fusing Complementary Multi-view Features for Screen-Based Eye Tracking
Jun 30, 2026Chang Liu, Jiaqi Liu, Chengwen Zhang +6Gaze Target Estimation Multimodal Dataset
Tsinghua University · Georgia Institute of Technology
Latent Noise Mask for Reducing Visual Redundancy in Multimodal Large Language Models
Jun 29, 2026Kai Jiang, Ruishu Zhu, Siqi Huang +2Latent Visual Reasoning Multimodal Large Language Models
School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University · Institute of Artificial Intelligence, China Telecom (TeleAI) · 3Fudan University +1
DiCoBench: Benchmarking Multi-Image Fine-Grained Perception via Differential and Commonality Visual Cues
Jun 25, 2026Geng Li, Yuxin PengFine-Grained Perception Multimodal Benchmarks
Wangxuan Institute of Computer Technology, Peking University, Beijing, China
Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs
Jun 24, 2026Yunhun Nam, Jongheon JeongHallucination Mitigation Visual Cues
Korea University
The Power of Light: Improving Synthetic-to-Real Domain Adaptation through Physically-Based Indirect Illumination
Jun 21, 2026Hooman Tavakoli Ghinani, Tatjana Legler, Martin RuskowskiSynthetic-To-Real Domain Gap Object Detection
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany · RPTU Kaiserslautern-Landau, Kaiserslautern, Germany
StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs
Jun 18, 2026Shaghayegh Kolli, Timo Cavelius, Nafiseh Nikeghbal +2Large Language Model Bias Stylistic Fidelity
Technical University of Munich · Munich Center for Machine Learning · Princeton Center for Information and Technology Policy
Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation
Jun 16, 2026Yuming Chen, Yuxin Xie, Tao Zhou +1Semi-Supervised Medical Image Segmentation Diagnosis
School of Computer Science and Engineering, Southeast University, Nanjing, China · Key Laboratory of New Generation Artiﬁcial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Nanjing, China · Nanjing University of Science and Technology, Nanjing, China
LOCUS: Local Visual Cue Search for Enhancing Fine-Grained Perception in Multimodal Large Language Models
Jun 15, 2026Zhou Tao, Fang Zhang, Zewen Ding +5Fine-Grained Perception Visual Cues
University of Science and Technology of China · State Key Laboratory of Cognitive Intelligence
AutoMine Solution for AV2 2026 Scenario Mining Challenge
Jun 10, 2026Songliang Cao, Jiele Zhao, Yuru Wang +10Autonomous Driving Naturalistic Driving Data
Xiaomi EV · Huazhong University of Science and Technology
ViCuR: Visual Cues as Recoverable Privilege for Multimodal On-Policy Distillation
Jun 4, 2026Kanghui Tian, Siyuan Liu, Ziang Yan +3Multimodal Reasoning Visual Cues
1Shanghai AI Laboratory · 3Nanjing University · 2Fudan University
Vision-Language Models Suppress Female Representations Under Ambiguous Input
May 29, 2026Arnau Marin-Llobet, Simon Henniger, Mahzarin R. BanajiGender Visual Cues
School of Engineering and Applied Sciences · Department of Psychology
Utility-Aware Multimodal Contrastive Learning for Product Image Generation
May 27, 2026Xiaohang Feng, Yiling XieMulti-Reference Image Generation Multimodal Contrastive Learning
City University of Hong Kong
The Perception-Physics Paradox: Probing Scientific Alignment with TC-Bench
May 23, 2026Dingling Yao, Andrea Polesello, Adeel Pervez +2Scientific Discovery Representation Learning
Institute of Science and Technology Austria
From Model Uncertainty to Human Attention: Localization-Aware Visual Cues for Scalable Annotation Review
May 12, 2026Moussa Kassem Sbeyti, Joshua Holstein, Philipp Spitzer +2Automatic Labelling Annotations
1Scientific Computing Center, Karlsruhe Institute of Technology. · Institute for Information Systems, Karlsruhe Institute of Technology.
Not Blind but Silenced: Rebalancing Vision and Language via Adversarial Counter-Commonsense Equilibrium
May 11, 2026Qingxin Xiao, Peilin Zhao, Yangyang Zhao +2Contrastive Decoding Large Language Model Hallucination
South China University of Technology · Institute for Super Robotics (Huangpu) · Shanghai Jiao Tong University +1
Tracking the Truth: Object-Centric Spatio-Temporal Monitoring for Video Large Language Models
May 9, 2026Tri Cao, Khoi Le, Thong Nguyen +7Video Multimodal Large Language Models Spatio-Temporal Reasoning
National University of Singapore · VinUniversity · Nanyang Technological University
Object-Level Explanations for Image Geolocation Models: a GeoGuessr use-case
Apr 29, 2026Emilie Durrieu, Christophe Hurter, Philippe Muller +1Cross-View Geo-Localization Semantic Region
ENAC, University of Toulouse · IRIT, University of Toulouse, ANITI · CNRS
Identity-Decoupled Anonymization for Visual Evidence in Multi-modal Retrieval-Augmented Generation
Apr 26, 2026Zehua Cheng, Wei Dai, Jiahao SunMultimodal Retrieval Augmented Generation Anonymization
Department of Computer Science · University of Oxford,, UK · FLock.io, London, UK
How Many Visual Levers Drive Urban Perception? Interventional Counterfactuals via Multiple Localised Edits
Apr 23, 2026Jason Tang, Stephen LawUrban Environments Visual Cues
University College London (UCL)
Low Light Image Enhancement Challenge at NTIRE 2026
Apr 19, 2026George Ciubotariu, Sharif S M A, Abdur Rehman +90Low-Light Image Enhancement Low-Resolution
Beyond Visual Cues: Semantic-Driven Token Filtering and Expert Routing for Anytime Person ReID
Apr 16, 2026Jiaxuan Li, Xin Wen, Zhihang LiRe-Identification Pedestrian Detection
Tsinghua University · Independent Researcher · University of Chinese Academy of Sciences
VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection
Mar 23, 2026Xinghan Li, Junhao Xu, Jingjing ChenDeepfake Detection Digital Forensics
College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China.

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Diff-RF: Mutually Reinforced Image Registration and Fusion via Degradation-Aware Learning

Xunpeng Yi, Zaixi Du, Qinglong Yan, Yibing Zhang+2

Electronic Information School, Wuhan University, Wuhan 430072, China

Visible Image Fusion Query-Specific Degradation-Aware Representation Image Registration Fidelity Visual Cues

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Image registration and fusion aim to establish spatial correspondences from misaligned multi-modal source images, and integrate complementary information. However, in real-world imaging scenarios, source images are often affected by complex and diverse degradations, such as low illumination, noise, etc., which severely hinder the effectiveness of registration and fusion. To address this issue, we propose a mutually reinforced image registration and fusion diffusion framework via degradation-aware learning, termed Diff-RF. It explores the intrinsic coupling between registration-fusion and information restoration in the degradation conditions, enabling high-quality fusion of unregistered images under complex degradation conditions. First, the intra-modal restoration module is designed to alleviate modality-specific degradations by leveraging information within each modality, thereby providing more reliable structural representations for registration and facilitating subsequent cross-modal fusion. Second, we develop a cross-modal diffusion registration and fusion module that establishes bidirectional interaction between registration and fusion. By integrating fusion-derived visual cues and correspondence-based geometric conditions into the diffusion process, the proposed framework progressively refines spatial alignment and exploits cross-modal complementary information to achieve collaborative enhancement. Rather than treating them as independent components, degradation-aware information restoration and the collaborative optimization of registration and fusion are tightly coupled, achieving overall performance improvements. Extensive experiments on multiple extended datasets demonstrate that Diff-RF achieves superior registration accuracy and fusion quality under various degraded scenarios, exhibiting strong robustness and generalization ability.

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