Pixel-Level Prediction

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5 papers in the last four weeks, up 25% on the four weeks before. 0.0% of all new papers.

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  1. Adaptive Conformal Prediction for Image Regression Models with Application to an Inertial Confinement Fusion Emulator

    Sep 30, 2026Carrie J. Lei-Cramer, Michael S. Jones, Laura J. WendelbergerOnline Conformal PredictionUncertainty Quantification

    Department of Statistics, Texas A&M University, College Station, TX, USA. · Lawrence Livermore National Laboratory, Livermore, CA, USA.

  2. Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Study

    Sep 29, 2026Sven Ligensa, Jan Pauls, Karsten Schrödter +2CanopyRemote Sensing

    University of Münster Münster, Germany · Laboratoire des Sciences du Climat et de l’Environnement Paris, France

  3. Conditional Predictive Sufficient Statistics for Visual Representation Learning

    Sep 25, 2026Yuzhou HongPixel-Level PredictionStatistical Inference

    Zhejiang Sci-Tech University

  4. PBLH Estimation from Satellite Radiances via a Dual-Encoder Transformer

    Sep 23, 2026Lorenzo Innocenti, Luca Catalano, Edoardo Arnaudo +4Atmospheric DynamicsSatellite Data

    Politecnico di Torino, Torino, Italy · Fondazione LINKS, Torino, Italy · Institute of Integrated Methodologies for Earth Observation, National Research Council (IMIOT/CNR), Potenza, Italy +1

  5. Spot-the-shift: Evaluating Grounded Image Difference Captioning of Long-term Changes

    Sep 9, 2026Benedetta Liberatori, Nermin Samet, Paolo Rota +4Image Difference CaptioningChange Detection

    University of Trento · Sorbonne Université · Fondazione Bruno Kessler

  6. Perceptually Regularized Diffusion Model for Image Super-Resolution

    Sep 2, 2026Chuxiangbo Wang, Pavithra Venkatachalapathy, Ying Liang +4Generative Super-ResolutionPixel-Level Prediction

    Department of Mathematics, University of North Carolina, Chapel Hill, NC 27599, USA. · Department of Mathematics & Statistics, Texas Tech University, Lubbock, TX 79409, USA. · Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, Cleveland, OH 44106, USA. +3

  7. Quantum-Grassmann-Plucker Token Mixing for Deep Learning-Based Post-Disaster Damage Assessment

    Aug 31, 2026Kooroush Farahkhah, Umut Lagap, Taha Rezaei +1Post-Disaster Damage AssessmentImage Classification

    Independent Researcher, Tabriz, Iran. · Centre for Urban Resilience and Analytics (CURA), Georgia Institute of Technology (Georgia Tech), US. · Department of Civil and Environmental Engineering, University of Exeter, Exeter, UK. +1

  8. Evaluating and Calibrating Diffusion Model-derived Uncertainty for Quantitative MRI Mapping

    Aug 12, 2026Shishuai Wang, Stefan Klein, Juan A. Hernandez-Tamames +1Map UncertaintyMagnetic Resonance Imaging

    Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands · Department of Imaging Physics, TU Delft, Delft, The Netherlands

  9. CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving

    Aug 10, 2026Junyao Wang, Yulin Xu, Yu Li +2Multi-Sensor FusionUncertainty-Aware Fusion

    Department of Computer Science, University of California, Irvine, 92697, USA · Department of Electrical Engineering and Computer Science, University of California, Irvine, 92697, USA · Department of Computer Science, the Department of Electrical Engineering and Computer Science, and the Department of Mechanical and Aerospace Engineering, University of California, Irvine, 92697, USA

  10. Protection Levels for Vision-Based Pose Estimation

    Aug 9, 2026Olivia Beyer Bruvik, Romeo Valentin, Marc R. Schlichting +2Category-Level Object Pose EstimationGlobal Navigation Satellite System

    Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305 USA · A3 by Airbus LLC, Sunnyvale, CA 94086 USA

  11. Local Epistemic Uncertainty Guided Active Sampling for Plug-and-play Diffusive Image Restoration

    Aug 7, 2026Jiaqi Zhang, Zheng Pang, Rongrong Gao +2Image RestorationPixel-Level Prediction

    Jiangsu University Zhenjiang, China · Xi’an University of Technology Xi’an, China

  12. From Keypoints to Predictive Distributions: Post-Hoc Uncertainty for YOLO-Pose Models

    Jul 29, 2026Alexej Klushyn, Juan Rivero Sesma, Florian Seligmann +3Calibrated UncertaintyKeypoint Detection

    Airbus Central Research & Technology · Airbus Commercial Aircraft · Karlsruhe Institute of Technology +2

  13. HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving

    Jul 23, 2026Quanfu Yu, Xian Wu, Hao Xu +1Autonomous DrivingDiffusion-Based Vision-Language-Actions

    Automotive New Technology Research Institute, BYD Company Limited

  14. Factor-Informed Uncertainty Distillation for Gaze Estimation

    Jul 22, 2026Mohammadreza Jamalifard, Yaxiong Lei, Javier Fumanal Idocin +3Gaze Target EstimationGaze Behavior

    University of Essex · Colchester, UK

  15. Detect Early, Escalate Rarely: Anytime Detection of AI-Generated Video from the Compressed Bitstream

    Jul 21, 2026Mert Onur Cakiroglu, Mehmet Dalkilic, Hasan KurbanAi-Generated Video DetectionPixel-Level Prediction

    Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, Bloomington, IN, USA · College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

  16. SWITi: Quantifying and Reducing Tiling Artifacts with Sliding Window Inner Tiling

    Jul 21, 2026Federico Carrara, Aman Kukde, Melisande Croft +2Compression ArtifactsPixel-Level Prediction

    Fondazione Human Technopole, Milan, Italy · Università Campus Bio-Medico, Rome, Italy

  17. Repairing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry

    Jul 10, 2026Adam Haroon, Cody Fleming, Beiwen LiPixel-Level Prediction3D Priors

    Department of Mechanical Engineering, Iowa State University, 2529 Union Drive, Ames, 50011, Iowa, USA · College of Engineering, University of Georgia, 597 D. W. Brooks Drive, Athens, 30602, Georgia, USA

  18. DL-SLAM: Enabling High-Fidelity Gaussian Splatting SLAM in Dynamic Environments based on Dual-Level Probability

    Jul 2, 2026Ziheng Xu, Qingfeng Li, Xuefeng Liu +2Gaussian Splatting Simultaneous Localization And Mapping SystemsSimultaneous Localization And Mapping

    ACMMM 2026, , Rio de Janeiro, Brazil

  19. Beyond Point Estimates for Glaucoma Visual Field Forecasting with Diffusion Models

    Jun 29, 2026Marta Colmenar Herrera, Pablo Márquez Neila, Şerife Seda Kucur Ergünay +2Glaucoma DetectionPixel-Level Prediction

    ARTORG Center for Biomedical Engineering Research, UniBe, Switzerland · PeriVision SA, Epalinges, Switzerland · Department of Ophthalmology, Inselspital, Bern, Switzerland

  20. EnTrust: Modeling Inter-Modal Conflict for Trustworthy Multimodal Medical Image Analysis

    Jun 19, 2026Dwarikanath Mahapatra, Abhijit Das, Behzad Bozorgtabar +5Pixel-Level PredictionDisagreement

    Khalifa University, Abu Dhabi, UAE. · MBZUAI, Abu Dhabi, UAE. · Aarhus University, Denmark. +5

  21. ReA-OVCD: Training-Free Open-Vocabulary Change Detection via Semantic-Spatial Reliability Assessment

    Jun 18, 2026Hongming Zhu, Huaji Chen, Bowen Du +2Change DetectionLand Cover

    School of Computer Science and Technology, Tongji University, Shanghai 200092, China · College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

  22. Quantification of Uncertainty with Adversarial Models in Medical Image Segmentation

    Jun 17, 2026Hana Jebril, Thomas Pinetz, Günter Klambauer +1Semi-Supervised Medical Image SegmentationPixel-Level Prediction

    Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Austria · Comprehensive Center for AI in Medicine, Medical University of Vienna, Austria · ELLIS Unit Linz, LIT AI Lab and Institute for Machine Learning, Johannes Kepler University Linz, Austria +1

  23. Contrastive Learning for Seismic Horizon Tracking with Domain-Specific Priors

    Jun 15, 2026Alexandre Thouvenot, Lionel Boillot, Vincent GriponFull Waveform InversionDigital Elevation Models

    IMT Atlantique, LAB-STICC, UMR CNRS 6285, F-29238 Brest, France · TotalEnergies, OneTech, 64000 Pau, France

  24. Visualizing Uncertainty: Spatial Maps of Missing and Conflicting Evidence in Deep Learning

    Jun 14, 2026Dong Hyun Jeong, Feng Chen, Jin-Hee Cho +3Class Activation MappingPixel-Level Prediction

    University of the District of Columbia Department of Computer Science Washington, DC, USA · University of Texas at Dallas Department of Computer Science Richardson, TX, USA · Virginia Tech Department of Computer Science Blacksburg, VA, USA +3

  25. Improving Lunar Topography with Deep Learning Schrödinger Bridges

    Jun 12, 2026Matthew Repasky, Erwan Mazarico, Michael K. Barker +3Generative Super-ResolutionDigital Elevation Models

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, USA · NASA Goddard Space Flight Center, USA · Center for Research and Exploration in Space Science and Technology (CRESST II), University of Maryland, College Park, MD, USA +1

  26. Point Cloud Upsampling through Patch-based Frequency Superposition

    Jun 12, 2026Marina Ritthaler, Azhar Hussian, Vasileios Belagiannis +1Point CloudsUpsampling

    Chair of Multimedia Communications and Signal Processing Friedrich-Alexander-University Erlangen-Nuremberg Erlangen, Germany

  27. PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models

    Jun 9, 2026Emma Kasteleyn, Timo Maier, Axel Lauer +3Artificial Intelligence Weather ModelsPhysics-Informed Learning

    University of Amsterdam, Amsterdam, The Netherlands · Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany · University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany +1

  28. Instance-Level Post Hoc Uncertainty Quantification in Object Detection

    Jun 3, 2026Chongzhe Zhang, Zifan Zeng, Qunli Zhang +2Uncertainty QuantificationObject Detection

    RAMS Lab, Huawei Heisenberg Research Center, Munich, Germany · Technische Universität Berlin, Berlin, Germany · Technische Universität München, Munich, Germany

  29. Measuring Prediction Uncertainty in Neural Cellular Automata

    May 26, 2026Ario Sadafi, Michael Deutges, Nassir Navab +1Predictive UncertaintyNeural Cellular Automata

    Computational Health Center, Helmholtz Munich, Neuherberg, Germany · Helmholtz AI, Helmholtz Munich, Neuherberg, Germany · Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany +4

  30. Point Tracking Improves World Action Models

    May 22, 2026Jiarui Guan, Wenshuai Zhao, Yue Pei +3Efficient World-Action ModelPixel-Level Prediction

    Aalto University · ELLIS Institute Finland · Beihang University +3

  31. Personalized Face Privacy Protection From a Single Image

    May 18, 2026Zachary Yahn, Fatih Ilhan, Tiansheng Huang +5Face Recognition ModelPrivacy

    Georgia Institute of Technology, Atlanta, Georgia, USA

  32. HAD: Hallucination-Aware Diffusion Priors for 3D Reconstruction

    May 16, 2026Xi Liu, Weiwei Sun, Zhou Ren +33D ReconstructionDiffusion Priors

    1Amazon AWS · 2Clemson University

  33. U-SEG: Uncertainty in SEGmentation -- A systematic multi-variable exploration

    May 14, 2026Michael Smith, Frank P. FerrieUncertainty-Aware ClassificationPanoptic Segmentation

    Centre for Intelligent Machines, McGill University

  34. RoSplat: Robust Feed-Forward Pixel-wise Gaussian Splatting for Varying Input Views and High-Resolution Rendering

    May 13, 2026Hoang Chuong Nguyen, Renjie Wu, Jose M. Alvarez +1Feed-Forward 3D GaussianNovel View Synthesis

    Australian National University · NVIDIA

  35. Segment Anything with Robust Uncertainty-Accuracy Correlation

    May 11, 2026Hongyou Zhou, Marc Toussaint, Ling Shao +1Pixel-Level PredictionSegment Anything Model

    Learning and Intelligent Systems, Technical University of Berlin, Berlin, Germany. · UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, Beijing, China.

  36. A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification

    May 11, 2026Ezel Kilicdere, Shireen Kudukkil Manchingal, Fabio CuzzolinImage ClassificationNeuro-Symbolic Framework

    Datasand IT and Consultancy Ltd. · Institute for AI, Data Analysis and Systems (AIDAS) School of Engineering, Computing and Mathematics, Oxford Brookes University, UK

  37. Uncertainty-Guided Dual-Domain Learning for Reliable Skin Lesion Segmentation

    May 10, 2026Duwei Dai, Caixia Dong, Guowei Dai +6Lesion SegmentationPixel-Level Prediction

    Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, Shaanxi, China. · National-Local Joint Engineering Research Center of Biodiagnosis & Biotherapy, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, Shaanxi, China. · School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, 710049, Shaanxi, China. +3

  38. Probabilistic Dating of Historical Manuscripts via Evidential Deep Regression on Visual Script Features

    May 7, 2026Ranjith ChodavarapuHistorical ManuscriptsPixel-Level Prediction

    Kent State University

  39. Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing

    May 7, 2026Anh Vu Nguyen, Dino Sejdinovic, Tat-Jun ChinEdge-AwareRemote Sensing

    Australian Institute for Machine Learning (AIML), Adelaide University

  40. Uncertainty Estimation in Instance Segmentation of Affordances via Bayesian Visual Transformers

    May 5, 2026Lorenzo Mur-Labadia, Ruben Martinez-Cantina, Jose J. GuerreroUncertainty-Aware ClassificationAffordances

    aI3A, Universidad de Zaragoza, Zaragoza, 50018, Spain

  41. TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic Segmentation

    May 5, 2026Alexander Matyasko, Xin Lou, Indriyati Atmosukarto +1Efficient Semantic SegmentationSemantic Segmentation

    Singapore Institute of Technology, Singapore

  42. UnGAP: Uncertainty-Guided Affine Prompting for Real-Time Crack Segmentation

    May 4, 2026Conghui Li, Huanyu He, Xin Wang +2Pixel-Level PredictionHeteroskedasticity

    School of Information Technology, Monash University, Selangor, Malaysia · Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China · School of Engineering, Monash University, Selangor, Malaysia

  43. RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty

    May 2, 2026William Stevens, Mohit Prabhushankar, Ghassan AlRegibUncertainty-Aware ClassificationPixel-Level Prediction

    OLIVES at the Center for Signal and Information Processing, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

  44. Uncertainty-Aware Pedestrian Attribute Recognition via Evidential Deep Learning

    Apr 29, 2026Zhuofan Lou, Shihang Zhang, Fangle Zhu +2Pedestrian DetectionUncertainty-Aware Classification

    College of Electronics and Information Engineering, Sichuan University, China

  45. Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions

    Apr 27, 2026Yangping Li, Thomas Pinetz, Michael Hölzel +2Digital PathologySemantic Segmentation

    Institute of Pathology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany · Institute for Applied Mathematics, University of Bonn, Endenicher Allee 60, 53115 Bonn, Germany · Institute of Experimental Oncology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany

  46. Trust-SSL: Additive-Residual Selective Invariance for Robust Aerial Self-Supervised Learning

    Apr 23, 2026Wadii Boulila, Adel Ammar, Bilel Benjdira +1Self-Supervised LearningPixel-Level Prediction

    Robotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh 11586, Saudi Arabia

  47. Inference-Time Temporal Probability Smoothing for Stable Video Segmentation with SAM2 under Weak Prompts

    Apr 18, 2026Dawar Jyoti DekaVideo Object SegmentationPixel-Level Prediction

    Indian Institute of Technology Bombay · Mumbai, Maharashtra, India

  48. Lorentz Framework for Semantic Segmentation

    Apr 18, 2026Zahid Hasan, Masud Ahmed, Nirmalya RoyEfficient Semantic SegmentationSemantic Segmentation

    Department of Information Systems, University of Maryland, Baltimore County

  49. PLAF: Pixel-wise Language-Aligned Feature Extraction for Efficient 3D Scene Understanding

    Apr 17, 2026Junjie Wen, Junlin He, Fei Ma +13D Scene UnderstandingPixel-Level Prediction

    Pengcheng Laboratory, Shenzhen, 518108, China · The School of Intelligent Engineering, Sun Yat-Sen University-ShenzhenCampus, Shenzhen, Guangdong, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.

  50. GlobalSplat: Efficient Feed-Forward 3D Gaussian Splatting via Global Scene Tokens

    Apr 16, 2026Roni Itkin, Noam Issachar, Yehonatan Keypur +3Feed-Forward 3D Gaussian SplattingFeed-Forward 3D Gaussian

    The Hebrew University of Jerusalem · Westlake University

  51. Can We Change the Stroke Size for Easier Diffusion?

    Mar 25, 2026Yunwei Bai, Ying Kiat Tan, Yao Shu +1Diffusion ModelsPixel-Level Prediction

    National University of Singapore · Hong Kong University of Science and Technology (Guangzhou)

  52. Drop-In Perceptual Optimization for 3D Gaussian Splatting

    Mar 23, 2026Ezgi Ozyilkan, Zhiqi Chen, Oren Rippel +2Perceptual Quality3D Generation

    Apple · New York University Tandon School of Engineering

  53. Conformal Prediction Sets for Instance Segmentation

    Feb 10, 2026Kerri Lu, Dan M. Kluger, Stephen Bates +1Online Conformal PredictionAmodal Segmentation

    Laboratory for Information and Decision Systems, MIT, Cambridge, MA, USA · Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA · Institute for Data, Systems, and Society, MIT, Cambridge, MA, USA +1

  54. Pixelwise Uncertainty Quantification of Accelerated MRI Reconstruction

    Jan 19, 2026Ilias I. Giannakopoulos, Lokesh B Gautham Muthukumar, Yvonne W. Lui +1Magnetic Resonance Imaging ReconstructionMagnetic Resonance Imaging

    Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, 10016, New York, NY, United States of America · Courant Institute of Mathematical Sciences, NYU, 10012, New York, NY, United States of America · Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Grossman School of Medicine, 10016, New York, NY, United States of America

  55. Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

    Sep 5, 2025Inés Gonzalez-Pepe, Vinuyan Sivakolunthu, Yohan Chatelain +1Data AugmentationMultimodal Neuroimaging

    Department of Computer Science Concordia University Montreal, QC H3G 1M8, Canada · Department of Computer Science Concordia University2026 Montreal, QC H3G 1M8, Canada · Krembil Centre for Neuroinformatics Centre for Addiction and Mental Health Toronto, ON M5T 0S8, Canada +1

  56. Voxeland: Probabilistic Instance-Aware Semantic Mapping with Evidence-based Uncertainty Quantification

    Nov 13, 2024Jose-Luis Matez-Bandera, Pepe Ojeda, Javier Monroy +2Semantic MappingScene Reasoning

    Machine Perception and Intelligent Robotics (MAPIR) Group, Malaga Institute for Mechatronics Engineering and Cyber-Physical Systems (IMECH.UMA), University of Malaga, Campus de Teatinos, 29071 Malaga, Spain

  57. A Calibration Audit of Confidence in Feed-Forward 3D Reconstruction Models

    Date pendingNanxing Nick Deng, Qing Cheng, Niclas Zeller +1Feed-Forward 3D ReconstructionReconstruction Error

    Technical University of Munich · Munich Center for Machine Learning (MCML) · Karlsruhe University of Applied Sciences