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07/26/2023
Simulation-based Inference for Cardiovascular Models
Over the past decades, hemodynamics simulators have steadily evolved and...
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02/08/2022
Robust Hybrid Learning With Expert Augmentation
Hybrid modelling reduces the misspecification of expert models by combin...
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01/20/2022
Minimax Demographic Group Fairness in Federated Learning
Federated learning is an increasingly popular paradigm that enables a la...
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12/20/2021
Distributionally Robust Group Backwards Compatibility
Machine learning models are updated as new data is acquired or new archi...
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10/05/2021
Federating for Learning Group Fair Models
Federated learning is an increasingly popular paradigm that enables a la...
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04/30/2021
GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
Generating videos from text is a challenging task due to its high comput...
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12/05/2020
Cirrus: A Long-range Bi-pattern LiDAR Dataset
In this paper, we introduce Cirrus, a new long-range bi-pattern LiDAR pu...
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11/19/2020
Using Text to Teach Image Retrieval
Image retrieval relies heavily on the quality of the data modeling and t...
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11/03/2020
Minimax Pareto Fairness: A Multi Objective Perspective
In this work we formulate and formally characterize group fairness as a ...
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11/02/2020
Instance based Generalization in Reinforcement Learning
Agents trained via deep reinforcement learning (RL) routinely fail to ge...
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09/04/2020
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution
Convolutional Neural Networks (CNNs) are known to be significantly over-...
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07/13/2020
Nested Learning For Multi-Granular Tasks
Standard deep neural networks (DNNs) are commonly trained in an end-to-e...
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04/03/2020
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method
Active illumination is a prominent complement to enhance 2D face recogni...
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11/16/2019
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare
Common fairness definitions in machine learning focus on balancing notio...
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10/23/2019
SalGaze: Personalizing Gaze Estimation Using Visual Saliency
Traditional gaze estimation methods typically require explicit user cali...
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09/26/2019
Range Adaptation for 3D Object Detection in LiDAR
LiDAR-based 3D object detection plays a crucial role in modern autonomou...
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09/25/2019
Stochastic Conditional Generative Networks with Basis Decomposition
While generative adversarial networks (GANs) have revolutionized machine...
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09/25/2019
Domain-invariant Learning using Adaptive Filter Decomposition
Domain shifts are frequently encountered in real-world scenarios. In thi...
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09/24/2019
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters
Encoding the input scale information explicitly into the representation ...
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09/15/2019
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
Deep neural networks (DNNs) are notorious for their vulnerability to adv...
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06/26/2019
Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations
Objective: Overlapping measures are often utilized to quantify the simil...
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02/14/2019
Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video
Extracting the instantaneous heart rate (iHR) from face videos has been ...
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05/18/2018
Learning to Collaborate for User-Controlled Privacy
It is becoming increasingly clear that users should own and control thei...
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05/18/2018
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning
Deep neural networks (DNNs) typically have enough capacity to fit random...
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05/17/2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
Explicit encoding of group actions in deep features makes it possible fo...
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05/17/2018
DNN or k-NN: That is the Generalize vs. Memorize Question
This paper studies the relationship between the classification performed...
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04/18/2018
Liveness Detection Using Implicit 3D Features
Spoofing attacks are a threat to modern face recognition systems. In thi...
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03/15/2018
Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification
In this paper we introduce an ensemble method for convolutional neural n...
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02/12/2018
DCFNet: Deep Neural Network with Decomposed Convolutional Filters
Filters in a Convolutional Neural Network (CNN) contain model parameters...
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12/05/2017
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
Deep neural networks trained using a softmax layer at the top and the cr...
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11/22/2017
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks
Hash codes are efficient data representations for coping with the ever g...
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11/16/2017
LDMNet: Low Dimensional Manifold Regularized Neural Networks
Deep neural networks have proved very successful on archetypal tasks for...
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05/23/2017
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems
Security, privacy, and fairness have become critical in the era of data ...
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11/25/2016
Deep Video Deblurring
Motion blur from camera shake is a major problem in videos captured by h...
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11/22/2016
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model
In this paper, a self-learning approach is proposed towards solving scen...
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11/21/2016
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding
Surveillance cameras today often capture NIR (near infrared) images in l...
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11/16/2016
Probabilistic Fluorescence-Based Synapse Detection
Brain function results from communication between neurons connected by c...
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11/04/2016
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting
In this work, we introduce a highly efficient algorithm to address the n...
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10/18/2016
Fast L1-NMF for Multiple Parametric Model Estimation
In this work we introduce a comprehensive algorithmic pipeline for multi...
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10/14/2016
Generalization Error of Invariant Classifiers
This paper studies the generalization error of invariant classifiers. In...
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05/30/2016
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems
Solving inverse problems with iterative algorithms is popular, especiall...
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05/26/2016
Robust Large Margin Deep Neural Networks
The generalization error of deep neural networks via their classificatio...
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02/04/2016
Fundamental Limits in Multi-image Alignment
The performance of multi-image alignment, bringing different images into...
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12/21/2015
GraphConnect: A Regularization Framework for Neural Networks
Deep neural networks have proved very successful in domains where large ...
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05/18/2015
Compressed Nonnegative Matrix Factorization is Fast and Accurate
Nonnegative matrix factorization (NMF) has an established reputation as ...
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05/11/2015
Removing Camera Shake via Weighted Fourier Burst Accumulation
Numerous recent approaches attempt to remove image blur due to camera sh...
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04/30/2015
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Three important properties of a classification machinery are: (i) the sy...
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12/18/2014
Data Representation using the Weyl Transform
The Weyl transform is introduced as a rich framework for data representa...
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12/18/2014
On the Stability of Deep Networks
In this work we study the properties of deep neural networks (DNN) with ...
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12/16/2014