GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization

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GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization

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Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression

Pose-Invariant Face Recognition via Feature-Space Pose Frontalization

Anomaly Anything: Promptable Unseen Visual Anomaly Generation

Nonparametric network summaries

Bayesian optimisation for additive screening and yield improvements - beyond one-hot encoding

SuperAnimal pretrained pose estimation models for behavioral analysis

Online Learning of Continuous Signed Distance Fields Using Piecewise Polynomials

Intraday solar irradiance forecasting using public cameras

Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology

Towards Robust Vision Models

Euclid preparation LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods

How Close are Predictive Models to Teachers in Detecting Learners at Risk?

Stepping into virtual reality

Explainable ensemble learning model for predicting steel section-concrete bond strength

Unsupervised Controllable Generation with Self-Training

Traffic Signal Prediction on Transportation Networks Using Spatio-Temporal Correlations on Graphs

Adversarial Confidence Estimation Networks for Robust Stereo Matching

Accelerating Inference on Binary Neural Networks with Digital RRAM Processing