PAPER EVIDENCE RANKING
基于PaperMiner证据链动态评分。缺失证据保持未知,不等同于零分;不同任务论文不宜只凭总分直接比较。
| 排名 | 论文 | 得分 | 主要署名单位 | 任务 / 年份 | 覆盖率 |
|---|---|---|---|---|---|
| 1 | Spiking Variational Graph Representation Inference for Video Summarization | 70.1 | Harbin Institute of Technology, University of Electronic Science and Technology of China, Peking University | 未分类 · 2025 | 90% |
| 2 | Real-Time Underwater Image Enhancement via Frequency-Guided Dual-Path Attention | 70.1 | Glasgow College, UESTC; University of Glasgow | 图像增强 · 2026 | 90% |
| 3 | A Unified Candidate Set with Scene-Adaptive Refinement via Diffusion for End-to-End Autonomous Driving | 70.1 | 未明确提供,推测为作者所属机构 | 自动驾驶 · 2026 | 90% |
| 4 | Unified Diffusion Refinement for Multi-Channel Speech Enhancement and Separation | 70.1 | IEEE | 语音增强 · 2026 | 90% |
| 5 | More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era | 70.1 | School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei Anhui, 230026, China; Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE), Suzhou Institute for Advance Research, USTC, Suzhou Jiangsu, 215123, China; The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, USTC, Hefei Anhui, 230001, China; Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology, Suzhou Jiangsu, 215123, China; State Key Laboratory of Precision and Intelligent Chemistry, USTC, Hefei Anhui 230026, China | 未分类 · 2025 | 90% |
| 6 | Stability of Transformers under Layer Normalization | 70.1 | UCLA, UT Austin, UNC Chapel Hill, SRI International, UMass Amherst | 模型架构 · 2025 | 90% |
| 7 | Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling | 70.1 | Korea University, Kakao Mobility | 自动驾驶 · 2026 | 90% |
| 8 | RPBA-Net: An Interpretable Residual Pyramid Bilateral Affine Network for RAW-Domain ISP Enhancement | 70.1 | 未明确给出,但作者 affiliations 中可能包括高校或研究机构,需后续查询 | 图像增强 · 2026 | 90% |
| 9 | DenseStep2M: A Scalable, Training-Free Pipeline for Dense Instructional Video Annotation | 70.1 | SAI, Shanghai Jiao Tong University, Shanghai, China | 数据集 · 2026 | 90% |
| 10 | SinAE: A Single-Architecture Flow-Matching Autoencoder for Cross-Domain Atomic Systems | 69.82 | National University of Singapore, Tencent AI for Life Science Lab | 人工智能 · 2026 | 100% |
| 11 | VTaMo: Video-Text Alignment Model for Sign Language Translation | 69.82 | New York University Abu Dhabi, ChatSign Technology | 多模态 · 2026 | 100% |
| 12 | VLA-ReID: Video-Level Association for Re-Identification in Multi-Object Tracking with Highly Similar Objects | 69.82 | University of Electronic Science and Technology of China, Peking University Shenzhen Graduate School, Chongqing University | 目标跟踪 · 2026 | 100% |
| 13 | Efficient One-Step Diffusion Restoration Model with Compact Token Compression and Linear Attention | 69.82 | 上海交通大学,福州大学,上海人工智能实验室 | 图像恢复 · 2026 | 100% |
| 14 | ID-V2V: Identity-Preserving Video Restylization | 69.82 | Netflix, United States of America; Eyeline Labs, United States of America; Adobe, United States of America | 视频生成 · 2026 | 90% |
| 15 | Overcoming Attention Drift: Homogeneity-Heterogeneity Guided Feature Aggregation for Low-Light Remote Sensing Image Enhancement | 69.82 | 未知 | 图像增强 · 2026 | 90% |
| 16 | LDFE: Laplacian Decoupled Feature Enhancement Block for Dual-Stream CNN-based RGB-IR Object Detection | 69.82 | Beihang University, Communication University of China, Zhongguancun Academy, Eastern Institute of Technology, Beijing Institute of Control and Electronics Technology | 图像增强 · 2026 | 90% |
| 17 | DepthAnything and SAM for UIE: Exploring Large Model Information Contributes to Underwater Image Restoration | 69.68 | Sun Yat-sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) | 图像增强 | 100% |
| 18 | LPM: Industrial-Scale Generative Video Restoration | 69.61 | Kuaishou Technology | 视频生成 · 2026 | 90% |
| 19 | From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmark | 69.53 | IEEE Member, Fellow, IEEE, † | 图像恢复 · 2026 | 100% |
| 20 | DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation | 69.53 | Zhejiang University | 未分类 · 2025 | 100% |
| 21 | A Reinforcement Learning Approach to Synthetic Data Generation | 69.53 | Princeton University, Vanderbilt University Medical Center, Washington University | AI医疗 · 2025 | 100% |
| 22 | Collaborative Feature Aggregation for Face Super-Resolution and Robust Re-Identification | 69.53 | Yonsei University, Dongduk Women’s University, Sookmyung Women’s University | 图像恢复 · 2026 | 100% |
| 23 | LoL: Longer than Longer, Scaling Video Generation to Hour | 69.53 | UCLA, ByteDance Seed, University of Central Florida | 视频生成 · 2026 | 100% |
| 24 | MovieRecapsQA: A Multimodal Open-Ended Video Question-Answering Benchmark | 69.53 | Cornell University | 数据集 | 100% |
| 25 | A Physically-Grounded Attack and Adaptive Defense Framework for Real-World Low-Light Image Enhancement | 69.53 | 未明确提供,作者信息中仅显示IEEE Senior Member,推测为相关研究机构或高校 | 图像增强 · 2026 | 90% |
| 26 | DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion | 69.53 | 1 School of Mechanical Engineering, Dalian University of Technology; 2 School of Software Technology & DUT-RU International School of ISE, Dalian University of Technology; 3 School of Computer Science, Northwestern Polytechnical University; 4 College of Information Science and Technology, Dalian Maritime University | 图像增强 · 2025 | 90% |
| 27 | Entity-Guided Multi-Task Learning for Infrared and Visible Image Fusion | 69.53 | 未明确 | 图像融合 · 2026 | 90% |
| 28 | V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation | 69.53 | UNC Chapel Hill, Adobe Research | 视频生成 · 2026 | 90% |
| 29 | GENERATIVE MARKET EQUILIBRIUM MODELS WITH STABLE ADVERSARIAL LEARNING VIA REINFORCEMENT LINK | 69.53 | 未明确提供 | AI金融 · 2025 | 90% |
| 30 | DRIVINGGEN: A COMPREHENSIVE BENCHMARK FOR GENERATIVE VIDEO WORLD MODELS IN AUTONOMOUS DRIVING | 69.53 | University of Toronto, CUHK MMLab | 自动驾驶 · 2026 | 90% |
| 31 | UDPNet: Unleashing Depth-based Priors for Robust Image Dehazing | 69.53 | Harbin Institute of Technology, Harbin, China | 图像恢复 · 2026 | 90% |
| 32 | Row-Column Separated Attention Based Low-Light Image/Video Enhancement | 69.53 | School of Artificial Intelligence, Jilin University, China; College of Software, Jilin University, China; Institute of Computing Technology, Chinese Academy of Sciences, China | 图像增强 · 2026 | 90% |
| 33 | InTec: integrated things-edge computing A framework for distributing machine learning pipelines in edge AI systems | 69.53 | Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran; Big Data Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran; School of Information Systems and Modelling, University of Technology Sydney, Ultimo, Sydney, NSW, Australia | AI应用 · 2025 | 90% |
| 34 | SRU-Pix2Pix: A Fusion-Driven Generator Network for Medical Image Translation with Few-Shot Learning | 69.53 | School of Electronic and Electrical Engineering, Shanghai University of Engineering Science; Department of Thoracic Surgery, Zhongshan Hospital of Fudan University; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital of Fudan University; Department of Medical Oncology, Cancer Center, and Fudan Zhangjiang Institute, Zhongshan Hospital of Fudan University | AI医疗 · 2026 | 90% |
| 35 | SIMI: SELF-INFORMATION MINING NETWORK FOR LOW-LIGHT IMAGE ENHANCEMENT | 69.53 | Computer Vision Center, Barcelona, Spain; Computer Science Dept., Universitat Autonoma de Barcelona, Barcelona, Spain | 图像增强 · 2026 | 90% |
| 36 | ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving | 69.53 | Intelligent Transportation Systems Research Center, Wuhan University of Technology; Department of Data and Systems Engineering, The University of Hong Kong; School of Computer Science and Artificial Intelligence, Wuhan University of Technology; School of Mechanical Engineering, Southeast University; School of Automotive Studies, Tongji University | 未分类 · 2025 | 90% |
| 37 | PBE-UNet: A light weight Progressive Boundary-Enhanced U-Net with Scale-Aware Aggregation for Ultrasound Image Segmentation | 69.53 | Shaoxing University, Northeastern University, Chongqing University, Hangzhou City University, Zhejiang University, Information Technology R&D Innovation Center of Peking University | AI医疗 · 2026 | 90% |
| 38 | Multi-stage image denoising with the wavelet transform | 69.53 | School of Software, Northwestern Polytechnical University, Xi’an, Shaanxi, 710129, China; National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi’an, Shaanxi, 710129, China; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, 150001; Peng Cheng Laboratory, Shenzhen, Guangdong, 518055, China; Department of Computer and Information Science, University of Macau, Macau, 999078, China; School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi, 710129, China; School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen, 518172, Guangdong, China; Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China | 图像去噪 | 90% |
| 39 | BUSTR: BREAST ULTRASOUND TEXT REPORTING WITH A DESCRIPTOR-AWARE VISION–LANGUAGE MODEL | 69.53 | University of Nevada, Las Vegas | AI医疗 · 2025 | 90% |
| 40 | Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images | 69.53 | Delft University of Technology | 自动驾驶 · 2026 | 90% |
| 41 | MLFFM-SegDiff: A Multi-Level Feature Fusion Diffusion Model for Skin Lesion Segmentation | 69.53 | Keyi College of Zhejiang Sci-Tech University, Zhejiang Lanchen Digital Intelligence Technology Co., Ltd., Zhejiang University, Shanghai Academy of AI for Science, SAIS | 图像分割 · 2026 | 90% |
| 42 | UNIR-Net: A Novel Approach for Restoring Underwater Images with Non-Uniform Illumination Using Synthetic Data | 69.53 | aSchool of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, 310018, Zhejiang, China bpannilrniedljevli00l | 图像增强 · 2025 | 90% |
| 43 | Can Nano Banana 2 Replace Traditional Image Restoration Models? An Evaluation of Its Performance on Image Restoration Tasks | 69.53 | Shenzhen University of Advanced Technology, Fudan University, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences | 图像恢复 · 2026 | 90% |
| 44 | CFSR: Geometry-Conditioned Shadow Removal via Physical Disentanglement | 69.53 | University of Science and Technology of China, Ant Group, University of Michigan - Ann Arbor, Sun Yat-sen University | 图像恢复 · 2026 | 90% |
| 45 | HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation | 69.53 | Peking University, Harbin Institute of Technology, Shenzhen, Peng Cheng Laboratory | 未分类 · 2025 | 90% |
| 46 | From Local Windows to Adaptive Candidates via Individualized Exploratory: Rethinking Attention for Image Super-Resolution | 69.53 | University of Electronic Science and Technology of China | 图像恢复 · 2026 | 90% |
| 47 | ReWorld: Multi-Dimensional Reward Modeling for Embodied World Models | 69.53 | Eastern Institute of Technology, Ningbo, Georgia Institute of Technology, Shanghai Jiao Tong University, Tsinghua University, University of Science and Technology of China, Peking University | 视频生成 · 2026 | 90% |
| 48 | MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling | 69.53 | Fudan University, Shanghai, China; Shanghai Artificial Intelligence Laboratory, Shanghai, China | AI医疗 · 2026 | 90% |
| 49 | OARS: Process-Aware Online Alignment for Generative Real-World Image Super-Resolution | 69.53 | ByteDance Inc., Peking University, The Chinese University of Hong Kong | 图像恢复 · 2026 | 90% |
| 50 | STRUCTURED RAG FOR ANSWERING AGGREGATIVE QUESTIONS | 69.53 | AI21 Labs | 大语言模型 · 2025 | 90% |
排名用于发现值得进一步核查的论文,不替代同行评审。评分会随新增引用、复现、实验验证、新闻评价和落地证据持续更新。
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