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08/25/2023
Hyperbolic Random Forests
Hyperbolic space is becoming a popular choice for representing data due ...
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07/31/2023
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training
Models capable of leveraging unlabelled data are crucial in overcoming l...
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07/03/2023
Localized Questions in Medical Visual Question Answering
Visual Question Answering (VQA) models aim to answer natural language qu...
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04/11/2023
Unsupervised out-of-distribution detection for safer robotically-guided retinal microsurgery
Purpose: A fundamental problem in designing safe machine learning system...
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03/21/2023
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns
Annotating new datasets for machine learning tasks is tedious, time-cons...
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03/16/2023
Logical Implications for Visual Question Answering Consistency
Despite considerable recent progress in Visual Question Answering (VQA) ...
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03/15/2023
Stochastic Segmentation with Conditional Categorical Diffusion Models
Semantic segmentation has made significant progress in recent years than...
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08/23/2022
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection
Modern sky surveys are producing ever larger amounts of observational da...
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06/27/2022
Consistency-preserving Visual Question Answering in Medical Imaging
Visual Question Answering (VQA) models take an image and a natural-langu...
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11/26/2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Unsupervised out-of-distribution (U-OOD) detection has recently attracte...
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06/21/2021
CataNet: Predicting remaining cataract surgery duration
Cataract surgery is a sight saving surgery that is performed over 10 mil...
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03/31/2020
Real-Time Camera Pose Estimation for Sports Fields
Given an image sequence featuring a portion of a sports field filmed by ...
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07/16/2019
Fused Detection of Retinal Biomarkers in OCT Volumes
Optical Coherence Tomography (OCT) is the primary imaging modality for d...
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07/10/2019
Deep Multi Label Classification in Affine Subspaces
Multi-label classification (MLC) problems are becoming increasingly popu...
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04/10/2019
Simulation of hyperelastic materials in real-time using Deep Learning
The finite element method (FEM) is among the most commonly used numerica...
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02/02/2019
Self-Binarizing Networks
We present a method to train self-binarizing neural networks, that is, n...
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12/06/2017
Beyond the Pixel-Wise Loss for Topology-Aware Delineation
Delineation of curvilinear structures is an important problem in Compute...
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10/18/2017
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery
Detection of surgical instruments plays a key role in ensuring patient s...
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06/07/2017
Imposing Hard Constraints on Deep Networks: Promises and Limitations
Imposing constraints on the output of a Deep Neural Net is one way to im...
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11/27/2016
Uniform Information Segmentation
Size uniformity is one of the main criteria of superpixel methods. But s...
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11/17/2016