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04/02/2023
A principled approach to model validation in domain generalization
Domain generalization aims to learn a model with good generalization abi...
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03/21/2023
Estimating Distances Between People using a Single Overhead Fisheye Camera with Application to Social-Distancing Oversight
Unobtrusive monitoring of distances between people indoors is a useful t...
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12/22/2022
Spatio-Visual Fusion-Based Person Re-Identification for Overhead Fisheye Images
Reliable and cost-effective counting of people in large indoor spaces is...
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10/26/2022
Trade-off between reconstruction loss and feature alignment for domain generalization
Domain generalization (DG) is a branch of transfer learning that aims to...
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10/04/2022
FRIDA: Fisheye Re-Identification Dataset with Annotations
Person re-identification (PRID) from side-mounted rectilinear-lens camer...
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08/31/2022
Supervised Contrastive Learning with Hard Negative Samples
Unsupervised contrastive learning (UCL) is a self-supervised learning te...
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08/01/2022
Joint covariate-alignment and concept-alignment: a framework for domain generalization
In this paper, we propose a novel domain generalization (DG) framework b...
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01/25/2022
Conditional entropy minimization principle for learning domain invariant representation features
Invariance principle-based methods, for example, Invariant Risk Minimiza...
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11/04/2021
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
We study the problem of designing hard negative sampling distributions f...
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09/09/2021
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings
Random walk based node embedding algorithms learn vector representations...
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09/04/2021
Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization
For the Domain Generalization (DG) problem where the hypotheses are comp...
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01/23/2021
BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-AgnosticSupervised Background Subtraction
Background subtraction (BGS) is a fundamental video processing task whic...
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08/16/2020
OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames
When journalists cover a news story, they can cover the story from multi...
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05/23/2020
RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images
Recent methods for people detection in overhead, fisheye images either u...
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04/12/2020
Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation
Smart buildings use occupancy sensing for various tasks ranging from ene...
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03/02/2020
VAE/WGAN-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images
We present a novel variational generative adversarial network (VGAN) bas...
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07/26/2019
A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos
Background subtraction is a basic task in computer vision and video proc...
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06/21/2019
A Cyclically-Trained Adversarial Network for Invariant Representation Learning
We propose a cyclically-trained adversarial network to learn mappings fr...
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01/11/2019
BUOCA: Budget-Optimized Crowd Worker Allocation
Due to concerns about human error in crowdsourcing, it is standard pract...
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01/10/2019
Collaborative Privacy for Web Applications
Real-time, online-editing web apps provide free and convenient services ...
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03/19/2018
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition
Reliable facial expression recognition plays a critical role in human-ma...
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12/19/2017
Privacy-Preserving Adversarial Networks
We propose a data-driven framework for optimizing privacy-preserving dat...
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11/09/2016
Node Embedding via Word Embedding for Network Community Discovery
Neural node embeddings have recently emerged as a powerful representatio...
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10/12/2016
Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at Extremely Low Resolutions
Deep convolutional neural networks (ConvNets) have been recently shown t...
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08/23/2015
Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery
We develop necessary and sufficient conditions and a novel provably cons...
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04/03/2015
Learning Mixed Membership Mallows Models from Pairwise Comparisons
We propose a novel parameterized family of Mixed Membership Mallows Mode...
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12/11/2014
A Topic Modeling Approach to Ranking
We propose a topic modeling approach to the prediction of preferences in...
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03/15/2013
Topic Discovery through Data Dependent and Random Projections
We present algorithms for topic modeling based on the geometry of cross-...
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01/29/2013
An Impossibility Result for High Dimensional Supervised Learning
We study high-dimensional asymptotic performance limits of binary superv...
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01/05/2013
