activity
20092024
most citedMultimodal Continuous Emotion Recognition using Deep Multi-Task Learning with Correlation Loss

3 citations · 6 across the 12 of their papers we have counts for

collaborators

13 papers

cs.RO2024

Efficient and Safe Contact-rich pHRI via Subtask Detection and Motion Estimation using Deep Learning

Pouya P. Niaz, Engin Erzin, Cagatay Basdogan

This paper proposes an adaptive admittance controller for improving efficiency and safety in physical human-robot interaction (pHRI) tasks in small-batch manufacturing that involve…

eess.AS2024

Cluster-to-Predict Affect Contours from Speech

Gökhan Kuşçu, Engin Erzin

Continuous emotion recognition (CER) aims to track the dynamic changes in a person's emotional state over time. This paper proposes a novel approach to translating CER into a predi…

cs.CV2022★ 1 cited

Role of Audio in Audio-Visual Video Summarization

Ibrahim Shoer, Berkay Kopru, Engin Erzin

Video summarization attracts attention for efficient video representation, retrieval, and browsing to ease volume and traffic surge problems. Although video summarization mostly us…

cs.CL2022

Experiments on Turkish ASR with Self-Supervised Speech Representation Learning

Ali Safaya, Engin Erzin

While the Turkish language is listed among low-resource languages, literature on Turkish automatic speech recognition (ASR) is relatively old. In this report, we present our findin…

cs.HC2022

Audience Response Prediction from Textual Context

Ibrahim Shoer, Berker Turker, Engin Erzin

Humans' perception system closely monitors audio-visual cues during multiparty interactions to react timely and naturally. Learning to predict timing and type of reaction responses…

cs.SD2021

Affective Burst Detection from Speech using Kernel-fusion Dilated Convolutional Neural Networks

Berkay Kopru, Engin Erzin

As speech-interfaces are getting richer and widespread, speech emotion recognition promises more attractive applications. In the continuous emotion recognition (CER) problem, track…