MATCHA: Towards Matching Anything, CVPR 2025, Fei Xue, Sven Elflein, Laura Leal-Taixé, Qunjie Zhou

VGGT: Visual Geometry Grounded Transformer, CVPR 2025, Jianyuan Wang, Minghao Chen, Nikita Karaev, Andrea Vedaldi, Christian Rupprecht, David Novotny

DINOv3, arXiv:2508.10104, 2025, Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seungeun Yi, Michaël Ramamonjisoa, Francisco Massa, Daniel Haziza, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski

Triangle Splatting for Real-Time Radiance Field Rendering, arXiv:2505.19175, 2025, Jan Held, Renaud Vandeghen, Adrien Deliege, Abdullah Hamdi, Silvio Giancola, Anthony Cioppa, Andrea Vedaldi, Bernard Ghanem, Andrea Tagliasacchi, Marc Van Droogenbroeck

Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer, ECCV 2024, Eric Brachmann, Jamie Wynn, Shuai Chen, Tommaso Cavallari, Áron Monszpart, Daniyar Turmukhambetov, Victor Adrian Prisacariu

FoundPose: Unseen Object Pose Estimation with Foundation Features, ECCV 2024, Evin Pınar Örnek, Yann Labbé, Bugra Tekin, Lingni Ma, Cem Keskin, Christian Forster, Tomas Hodan

Critical Configurations for Radial Distortion Self-Calibration, CVPR 2014, Changchang Wu

Compositional Entailment Learning for Hyperbolic Vision-Language Models, arXiv:2410.06912, 2024, Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Fabio Galasso, Pascal Mettes

Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation, CVPR 2025, Nicolas Dufour, David Picard, Vicky Kalogeiton, Loic Landrieu

The Edge of Orthogonality: A Simple View of What Makes BYOL Tick, ICML 2023, Pierre H. Richemond, Allison Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill

On the Foundations of Shortcut Learning, ICLR 2024, Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael Curtis Mozer

Personalize Segment Anything Model with One Shot, arXiv 2023, Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Xianzheng Ma, Hao Dong, Peng Gao, Hongsheng Li

Improving Personalized Search with Regularized Low-Rank Parameter Updates, CVPR 2025, Fiona Ryan, Josef Sivic, Fabian Caba Heilbron, Judy Hoffman, James M. Rehg, Bryan Russell

Your ViT is Secretly an Image Segmentation Model, CVPR 2025, Tommie Kerssies, Niccolò Cavagnero, Alexander Hermans, Narges Norouzi, Giuseppe Averta, Bastian Leibe, Gijs Dubbelman, Daan de Geus

Convolutional Hough Matching Networks, CVPR 2021, Juhong Min, Minsu Cho

DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover’s Distance and Structured Classifiers, CVPR 2020, Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen

Smooth Loss Functions for Deep Top-k Classification, ICLR 2018, Leonard Berrada, Andrew Zisserman, M. Pawan Kumar

Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances, NeurIPS 2013, Marco Cuturi

Unbalanced Optimal Transport: A Unified Framework for Object Detection, CVPR 2023, H. De Plaen, P.F. De Plaen, J.A.K. Suykens, M. Proesmans, T. Tuytelaars, L. Van Gool

Energy-Based Test Sample Adaptation for Domain Generalization, ICLR 2023, Z. Xiao, X. Zhen, S. Liao, C.G.M. Snoek

A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds, PMLR 2001, Michael E. Tipping, Bernhard Schölkopf