% Key papers for Retrieval and matching with generative features (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2016_deep_11480, title = {{Deep Supervised Hashing for Fast Image Retrieval}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2019_lending_14460, title = {{Lending Orientation to Neural Networks for Cross-View Geo-Localization}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2018_leveraging_13333, title = {{Leveraging Unlabeled Data for Crowd Counting by Learning to Rank}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Leveraging_Unlabeled_Data_CVPR_2018_paper.html}, } @inproceedings{cvpr2017_comparative_12117, title = {{Comparative Evaluation of Hand-Crafted and Learned Local Features}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{aaai2025_u_11123, title = {{U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32491}, } @inproceedings{cvpr2017_deep_12179, title = {{Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2021_vigor_18104, title = {{VIGOR: Cross-View Image Geo-Localization Beyond One-to-One Retrieval}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2017_efficient_12232, title = {{Efficient Diffusion on Region Manifolds: Recovering Small Objects With Compact CNN Representations}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2022_effective_18734, title = {{Effective Conditioned and Composed Image Retrieval Combining CLIP-Based Features}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, url = {https://openaccess.thecvf.com/content/CVPR2022/html/Baldrati_Effective_Conditioned_and_Composed_Image_Retrieval_Combining_CLIP-Based_Features_CVPR_2022_paper.html}, } @inproceedings{cvpr2020_tangent_16326, title = {{Tangent Images for Mitigating Spherical Distortion}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2019_robust_14745, title = {{Robust Histopathology Image Analysis: To Label or to Synthesize?}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2018_hashgan_13182, title = {{HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Cao_HashGAN_Deep_Learning_CVPR_2018_paper.html}, } @inproceedings{cvpr2019_deep_14026, title = {{Deep Incremental Hashing Network for Efficient Image Retrieval}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2019_re_14706, title = {{Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2019_qatm_14684, title = {{QATM: Quality-Aware Template Matching for Deep Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2019_inverse_14332, title = {{Inverse Discriminative Networks for Handwritten Signature Verification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2024_omniglue_24330, title = {{OmniGlue: Generalizable Feature Matching with Foundation Model Guidance}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29473}, } @inproceedings{cvpr2020_deepflash_15384, title = {{DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2020_composed_15264, title = {{Composed Query Image Retrieval Using Locally Bounded Features}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2019_local_14474, title = {{Local Features and Visual Words Emerge in Activations}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2025_minima_26864, title = {{MINIMA: Modality Invariant Image Matching}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34813}, } @inproceedings{cvpr2024_matsynth_24120, title = {{MatSynth: A Modern PBR Materials Dataset}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30685}, } @inproceedings{neurips2024_hest_73772, title = {{HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/97514}, } @inproceedings{cvpr2024_pigeon_24409, title = {{PIGEON: Predicting Image Geolocations}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31493}, } @inproceedings{aaai2024_decomposing_5621, title = {{Decomposing Semantic Shifts for Composed Image Retrieval}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28479}, } @inproceedings{cvpr2024_towards_25050, title = {{Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30119}, } @inproceedings{cvpr2024_textile_24979, title = {{TexTile: A Differentiable Metric for Texture Tileability}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30687}, } @inproceedings{cvpr2024_unmixing_25155, title = {{Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29953}, } @inproceedings{cvpr2024_on_24344, title = {{On the Estimation of Image-matching Uncertainty in Visual Place Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29898}, } @inproceedings{cvpr2025_fast_26235, title = {{Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33522}, } @inproceedings{aaai2025_aop_8132, title = {{AoP-SAM: Automation of Prompts for Efficient Segmentation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32228}, } @inproceedings{aaai2025_m2ost_9825, title = {{M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32830}, } @inproceedings{cvpr2025_ccin_25645, title = {{CCIN: Compositional Conflict Identification and Neutralization for Composed Image Retrieval}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32860}, } @inproceedings{aaai2024_discount_5564, title = {{DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30235}, } @inproceedings{cvpr2025_image_26587, title = {{Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33494}, } @inproceedings{icml2024_mindeye2_43510, title = {{MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34942}, } @inproceedings{aaai2025_bls_8217, title = {{BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32826}, } @inproceedings{aaai2025_generative_9329, title = {{Generative Medical Segmentation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32402}, }