205 citations · 759 across the 46 of their papers we have counts for
9 papers · 1 filter
FaceTopoNet: Facial Expression Recognition using Face Topology Learning
Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad
Prior work has shown that the order in which different components of the face are learned using a sequential learner can play an important role in the performance of facial express…
Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning
Setareh Rahimi Taghanaki, Michael Rainbow, Ali Etemad
In this paper, we propose a self-supervised learning solution for human activity recognition with smartphone accelerometer data. We aim to develop a model that learns strong repres…
Multimodal Estimation of End Point Force During Quasi-dynamic and Dynamic Muscle Contractions Using Deep Learning
Gelareh Hajian, Evelyn Morin, Ali Etemad
Accurate force/torque estimation is essential for applications such as powered exoskeletons, robotics, and rehabilitation. However, force/torque estimation under dynamic conditions…
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection
Mohsen Zand, Ali Etemad, Michael Greenspan
We present ObjectBox, a novel single-stage anchor-free and highly generalizable object detection approach. As opposed to both existing anchor-based and anchor-free detectors, which…
Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation
Leyla Khaleghi, Joshua Marshall, Ali Etemad
3D hand pose estimation (HPE) is the process of locating the joints of the hand in 3D from any visual input. HPE has recently received an increased amount of attention due to its k…
AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition
Anubhav Bhatti, Behnam Behinaein, Paul Hungler +1
We propose cross-modal attentive connections, a new dynamic and effective technique for multimodal representation learning from wearable data. Our solution can be integrated into a…
Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning
Zunayed Mahmud, Paul Hungler, Ali Etemad
We propose a novel neural pipeline, MSGazeNet, that learns gaze representations by taking advantage of the eye anatomy information through a multistream framework. Our proposed sol…
Multiscale Crowd Counting and Localization By Multitask Point Supervision
Mohsen Zand, Haleh Damirchi, Andrew Farley +3
We propose a multitask approach for crowd counting and person localization in a unified framework. As the detection and localization tasks are well-correlated and can be jointly ta…
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition
Guangyi Zhang, Vandad Davoodnia, Ali Etemad
We propose PARSE, a novel semi-supervised architecture for learning strong EEG representations for emotion recognition. To reduce the potential distribution mismatch between the la…