Sarah Ostadabbas

research

∙ 07/24/2023

Automatic Infant Respiration Estimation from Video: A Deep Flow-based Algorithm and a Novel Public Benchmark

Respiration is a critical vital sign for infants, and continuous respira...

0 Sai Kumar Reddy Manne, et al. ∙

research

∙ 06/05/2023

Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving

Modern autonomous systems require extensive testing to ensure reliabilit...

0 Xiangyu Bai, et al. ∙

research

∙ 05/29/2023

SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation

Animal pose estimation has become a crucial area of research, but the sc...

0 Le Jiang, et al. ∙

research

∙ 03/29/2023

A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

We present an end-to-end computer vision pipeline to detect non-nutritiv...

0 Shaotong Zhu, et al. ∙

research

∙ 10/26/2022

Automatic Assessment of Infant Face and Upper-Body Symmetry as Early Signs of Torticollis

We apply computer vision pose estimation techniques developed expressly ...

0 Michael Wan, et al. ∙

research

∙ 08/30/2022

Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data

Accurately annotated image datasets are essential components for studyin...

17 Le Jiang, et al. ∙

research

∙ 07/25/2022

Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation

3D Human body pose and shape estimation within a temporal sequence can b...

0 Zhouping Wang, et al. ∙

research

∙ 07/19/2022

Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent Annotations

Bilateral postural symmetry plays a key role as a potential risk marker ...

0 Xiaofei Huang, et al. ∙

research

∙ 01/27/2022

Pressure Eye: In-bed Contact Pressure Estimation via Contact-less Imaging

Computer vision has achieved great success in interpreting semantic mean...

1 Shuangjun Liu, et al. ∙

research

∙ 10/13/2021

A Review on Human Pose Estimation

The phenomenon of Human Pose Estimation (HPE) is a problem that has been...

0 Rohit Josyula, et al. ∙

research

∙ 08/23/2021

Interpreting Face Inference Models using Hierarchical Network Dissection

This paper presents Hierarchical Network Dissection, a general pipeline ...

7 Divyang Teotia, et al. ∙

research

∙ 06/18/2021

Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion

In this paper, we propose a Bayesian switching dynamical model for segme...

0 Amirreza Farnoosh, et al. ∙

research

∙ 05/23/2021

Heuristic Weakly Supervised 3D Human Pose Estimation in Novel Contexts without Any 3D Pose Ground Truth

Monocular 3D human pose estimation from a single RGB image has received ...

11 Shuangjun Liu, et al. ∙

research

∙ 05/23/2021

Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data

The ultimate goal for an inference model is to be robust and functional ...

0 Shuangjun Liu, et al. ∙

research

∙ 10/13/2020

Infant Pose Learning with Small Data

With the increasing maturity of the human pose estimation domain, its ap...

0 Xiaofei Huang, et al. ∙

research

∙ 09/10/2020

Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting

We introduce deep switching auto-regressive factorization (DSARF), a dee...

0 Amirreza Farnoosh, et al. ∙

research

∙ 08/20/2020

Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions

Computer vision (CV) has achieved great success in interpreting semantic...

2 Shuangjun Liu, et al. ∙

research

∙ 03/22/2020

Deep Markov Spatio-Temporal Factorization

We introduce deep Markov spatio-temporal factorization (DMSTF), a deep g...

0 Amirreza Farnoosh, et al. ∙

research

∙ 03/16/2020

G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences

In this paper, we propose a computationally tractable and theoretically ...

8 Behnaz Rezaei, et al. ∙

research

∙ 12/26/2019

Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms

Due to their inherent variabilities, nanomaterial-based sensors are chal...

0 Davoud Hejazi, et al. ∙

research

∙ 09/20/2019

Target-Specific Action Classification for Automated Assessment of Human Motor Behavior from Video

Objective monitoring and assessment of human motor behavior can improve ...

8 Behnaz Rezaei, et al. ∙

research

∙ 07/03/2019

Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation

Human in-bed pose estimation has huge practical values in medical and he...

0 Shuangjun Liu, et al. ∙

research

∙ 06/05/2019

Infant Contact-less Non-Nutritive Sucking Pattern Quantification via Facial Gesture Analysis

Non-nutritive sucking (NNS) is defined as the sucking action that occurs...

0 Xiaofei Huang, et al. ∙

research

∙ 02/03/2019

DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences

This paper presents a novel unsupervised probabilistic model estimation ...

0 Amirreza Farnoosh, et al. ∙

research

∙ 01/27/2019

Bayesian Inference-enabled Precise Optical Wavelength Estimation using Transition Metal Dichalcogenide Thin Films

Despite its ability to draw precise inferences from large and complex da...

0 Davoud Hejazi, et al. ∙

research

∙ 11/19/2018

Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation

Humans naturally perceive a 3D scene in front of them through accumulati...

0 Amirreza Farnoosh, et al. ∙

research

∙ 11/18/2018

Facial Expression and Peripheral Physiology Fusion to Decode Individualized Affective Experience

In this paper, we present a multimodal approach to simultaneously analyz...

0 Yu Yin, et al. ∙

research

∙ 08/30/2018

MMDF2018 Workshop Report

Driven by the recent advances in smart, miniaturized, and mass produced ...

0 Chun-An Chou, et al. ∙

research

∙ 08/08/2018

A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines

Deep learning approaches have been rapidly adopted across a wide range o...

2 Shuangjun Liu, et al. ∙

research

∙ 08/06/2018

Inner Space Preserving Generative Pose Machine

Image-based generative methods, such as generative adversarial networks ...

2 Shuangjun Liu, et al. ∙

research

∙ 06/25/2018

The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems

In this paper, we present a database of emotional speech intended to be ...

0 Adaeze Adigwe, et al. ∙

research

∙ 11/03/2017

Background Subtraction via Fast Robust Matrix Completion

Background subtraction is the primary task of the majority of video insp...

0 Behnaz Rezaei, et al. ∙

research

∙ 11/03/2017

In-Bed Pose Estimation: Deep Learning with Shallow Dataset

Although human pose estimation for various computer vision (CV) applicat...

0 Shuangjun Liu, et al. ∙

research

∙ 06/13/2016

Using Virtual Humans to Understand Real Ones

Human interactions are characterized by explicit as well as implicit cha...

0 Katie Hoemann, et al. ∙

Sarah Ostadabbas

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