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5 papers in the last four weeks, up 67% on the four weeks before. 0.1% of all new papers.

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Latest papers 25

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End-to-End Self-Supervised RGB-T Tracking without Modality Misleading
Sep 29, 2026Shenglan Li, Rui Yao, Kunyang Sun +4Rgb-Event Object Tracking Rgb-Thermal
School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, China. · Mine Digitization Engineering Research Center of the Ministry of Education, China. · University of Auckland, Auckland, New Zealand. +1
Dynamic Thermal Gaussians: Multimodal 4D Gaussian Splatting
Sep 21, 2026Rongfeng Lu, Lifeng Lin, Xiaobao Wei +7Rgb-Thermal Gaussian Splatting
Lishui University Lishui, China Lishui Key Laboratory of Low-Altitude Multimodal Sensing and Intelligent Computing Lishui, China · Hangzhou Dianzi University Hangzhou, China · University of Chinese Academy of Sciences Beijing, China +2
HEARTH: An Object-Centric RGB-Thermal-3D Dataset for Temperature-Aware Robot Manipulation
Sep 20, 2026Yuning Su, Borui Li, Yonghao Shi +2Large-Scale Robot Demonstration Datasets Robotic Manipulation
Simon Fraser University
Aligned Radiometric RGB-Thermal Fusion for UAV Facade Anomaly Screening
Sep 14, 2026Yuan Yang, Shulei Li, Haobo LiangRgb-Thermal Aerial Imagery
Hong Kong Center for Construction Robotics, Hong Kong SAR, China
RA-SOD: Reliability-Aware RGB-T Salient Object Detection under Modality Degradation
Sep 14, 2026Hongbo Gao, Zhengyu Li, Xueru Nie +4Rgb-Thermal Object Detection Rgb-Thermal
State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, No. 92 West Dazhi Street, Nangang District, Harbin, Heilongjiang 150006, China · School of Computer Science, University of Sydney, Camperdown, Sydney, NSW 2006, Australia
SynThermFace: Amplifying Limited Paired Data for Visible-Thermal Face Recognition via Synthetic Data Generation
Sep 9, 2026Anjith George, Adam Unal, Sebastien MarcelRgb-Thermal Synthetic-To-Real Domain Gap
Idiap Research Institute Rue Marconi 19 Martigny, Switzerland · University of Lausanne (UNIL) Lausanne, Switzerland
ProtoHGF-Net: Prototype HyperGraph Fusion with Intra-modal Calibration for RGBT Object Detection
Aug 12, 2026Xiangqi Chen, Xiuling Zhang, Chengzhuan Yang +7Rgb-Thermal Object Detection Rgb-Thermal
Real-time physics inversion for retrieval of sub-pixel wildfire temperatures from VSWIR imaging spectroscopy
Aug 4, 2026William R. Keely, Philip G. Brodrick, Katherine Mistick +3Wildfire Prediction Rgb-Thermal
Jet Propulsion Laboratory, California Institute of Technology, CA, United States of America · School of Environment, Society & Sustainability, University of Utah, Salt Lake City, UT, United States of America
DRPFNet: Dual-domain Residual Progressive Fusion Network for RGB-Thermal Object Detection
Aug 4, 2026Zian Wang, Changchun LiRgb-Thermal Rgb-Thermal Object Detection
College of Computer Science and Technology, Jilin University, China
Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark
Jul 9, 2026Qishun Wang, Yapeng Li, Zhengzheng Tu +2Rgb-Thermal Object Detection Rgb-Thermal
Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei 230601, China
Weighted Conformal Prediction for Lab-to-Track Thermal Transfer in EV Motorsport Powertrains
Jul 2, 2026Varshith Roy KotlaOnline Conformal Prediction Hybrid Powertrain
Department of CSE, Faculty of Science and Technology, The ICFAI Foundation for Higher Education, Hyderabad, India
FlameVQA: A Physically-Grounded UAV Wildfire VQA Benchmark with Radiometric Thermal Supervision
Jun 25, 2026Mobin Habibpour, John Spodnik, Niloufar Alipour Talemi +1Wildfire Detection Textvqa
Clemson University · Clemson, SC, USA
Unpaired RGB-Thermal Gaussian-Splatting Using Visual Geometric Transformers
Jun 3, 2026Jean Cordonnier, Chenghao Xu, Olga Fink +1Rgb-Thermal Novel View Synthesis
Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland · Schindler EPFL Lab, Lausanne, Switzerland
Reconstructing Unobservable Temperature Fields via Simulation-Aided Intelligent Sensing
Jun 3, 2026Monika Stipsitz, Hèlios Sanchis-Alepuz, Jacob Reynvaan +1Rgb-Thermal Heat Diffusion
Embedded Systems Silicon Austria Labs GmbH Graz, Austria
Frequency-Guided Fusion For RGB-Thermal Semantic Segmentation
May 25, 2026İsmail Emre Canıtez, Özgür ErkentRgb-Thermal Multimodal Fusion
Hacettepe University
Thermo-VL: Extending Vision-Language Models to Thermal Infrared Perception
May 21, 2026Rusiru Thushara, Yasiru Ranasinghe, Jay Paranjape +1Recent Vision-Language Models Rgb-Thermal
Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, MD 21218 USA
A Conditional U-Net Pipeline with Pre- and Post-Processing for Aerial RGB-to-Thermal Image Translation
May 17, 2026Tseten Sherpa, Sikandar Ali, Shubham Parab +5Rgb-Thermal Unpaired Image-To-Image Translation
Department of Data Science, University of Michigan, Ann Arbor, MI, USA · Department of Information Science, University of Michigan, Ann Arbor, MI, USA · Department of Computer Science, University of Michigan, Ann Arbor, MI, USA +8
Thermal-Only Crowd Counting with Deployment-Time Privacy Protection
May 16, 2026Yifei Qian, Zhongliang Guo, Chun Tong Lei +4Rgb-Thermal Privacy
School of Computer Science, University of Nottingham, NG7 2RD Nottingham, U.K. · School of Computer Science, University of St Andrews, KY16 9AJ St Andrews, U.K. · Department of Data Science, City University of Hong Kong, Hong Kong SAR, China +1
Thermal-Det: Language-Guided Cross-Modal Distillation for Open-Vocabulary Thermal Object Detection
May 11, 2026Yasiru Ranasinghe, Elim Schenck, Florence Yellin +3Rgb-Thermal Rgb-Thermal Object Detection
Johns Hopkins University · Kitware · DEVCOM Army Research Laboratory
On-Orbit Real-Time Wildfire Detection Under On-Board Constraints
May 7, 2026Matthias Rötzer, Veronika Pörtge, Martin Ickerott +6Wildfire Detection Rgb-Thermal
OroraTech GmbH, St.-Martin-Str. 112, 81669 Munich, Germany · Ludwig-Maximilians-Universität München, Munich, Germany
FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment
Apr 23, 2026Khaled R Ahmed, Toqi Tahamid Sarker, Taminul Islam +2Rgb-Thermal Degradation
Southern Illinois University Carbondale, USA · Qassim University, Saudi Arabia
WildFireVQA: A Large-Scale Radiometric Thermal VQA Benchmark for Aerial Wildfire Monitoring
Apr 22, 2026Mobin Habibpour, Niloufar Alipour Talemi, John Spodnik +2Wildfire Detection Wildfire
Clemson University
Tri-Modal Fusion Transformers for UAV-based Object Detection
Apr 17, 2026Craig Iaboni, Pramod AbichandaniMulti-Sensor Fusion Drone Detection
New Jersey Institute of Technology
SARTM: Segment Any RGB Thermal Model with Language aided Distillation
May 4, 2025Dong Xing, Jinhe Zhang, Hang Yang +1Rgb-Thermal Segment Anything Model
Changchun Institute of Optics, Fine Mechanicsand Physics, Chinese Academy of Sciences University
FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management
Dec 3, 2024Bryce Hopkins, Leo ONeill, Michael Marinaccio +7Wildfire Detection Wildfire
Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA · Pacific Southwest Research Station, U.S. Forest Services, Redding, CA USA · School of Environmental and Forest Sciences, University of Washington, Seattle, WA USA +3

Sep 29, 2026, cs.CVJ/K move · Enter open · S save

End-to-End Self-Supervised RGB-T Tracking without Modality Misleading

Shenglan Li, Rui Yao, Kunyang Sun, Hong Jia+3

School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, China. · Mine Digitization Engineering Research Center of the Ministry of Education, China. · University of Auckland, Auckland, New Zealand.+1

Rgb-Event Object Tracking Rgb-Thermal Infrared Modalities

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RGB-T object tracking leverages the complementary characteristics of visible and thermal infrared modalities to improve robustness under adverse conditions. Existing supervised methods typically rely on costly modality-aligned bounding box annotations, while most self-supervised approaches follow a two-stage pseudo-labeling paradigm, making tracker training sensitive to pseudo-label quality and preventing joint end-to-end optimization. In this paper, we propose ESMTrack, a fully end-to-end self-supervised RGB-T tracking framework without offline pseudo-label generation or dense frame-level bounding box annotations. Given only the standard initial-frame annotation used in visual tracking, ESMTrack learns discriminative and temporally consistent representations through two complementary objectives: a grounding triplet loss on annotated initial frames and a cross-frame temporal triplet loss on unlabeled search frames, with reliable samples selected by forward-backward consistency. To address modality dominance bias, ESMTrack employs a three-branch architecture consisting of a fusion branch and two unimodal branches for RGB and thermal inputs. We quantify modality contributions using the Average Peak-to-Correlation Energy by measuring response discrepancies between the fusion and unimodal branches. The resulting reliability estimates guide a training-time modality decoupling mechanism that suppresses dominant-modality shortcuts and adaptively weights cross-modal contrastive learning for task-level alignment. Extensive experiments on five RGB-T tracking benchmarks show that ESMTrack achieves competitive state-of-the-art performance, strong cross-dataset generalization, and real-time inference speed. The source code is available at https://github.com/LiShenglana/ESMTrack.

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