2.2k citations · 5.4k across the 90 of their papers we have counts for
8 papers · 2 filters
Deep Video Deblurring
Shuochen Su, Mauricio Delbracio, Jue Wang +3
Motion blur from camera shake is a major problem in videos captured by hand-held devices. Unlike single-image deblurring, video-based approaches can take advantage of the abundant…
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model
Qixiang Ye, Tianliang Zhang, Qiang Qiu +3
In this paper, a self-learning approach is proposed towards solving scene-specific pedestrian detection problem without any human' annotation involved. The self-learning approach i…
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding
Jose Lezama, Qiang Qiu, Guillermo Sapiro
Surveillance cameras today often capture NIR (near infrared) images in low-light environments. However, most face datasets accessible for training and verification are only collect…
Probabilistic Fluorescence-Based Synapse Detection
Anish K. Simhal, Cecilia Aguerrebere, Forrest Collman +5
Brain function results from communication between neurons connected by complex synaptic networks. Synapses are themselves highly complex and diverse signaling machines, containing…
Fast L1-NMF for Multiple Parametric Model Estimation
Mariano Tepper, Guillermo Sapiro
In this work we introduce a comprehensive algorithmic pipeline for multiple parametric model estimation. The proposed approach analyzes the information produced by a random samplin…
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting
Mariano Tepper, Guillermo Sapiro
In this work, we introduce a highly efficient algorithm to address the nonnegative matrix underapproximation (NMU) problem, i.e., nonnegative matrix factorization (NMF) with an add…