Search Results for author: Kalin Stefanov

Found 9 papers, 2 papers with code

Analysis of Behavior Classification in Motivational Interviewing

no code implementations NAACL (CLPsych) 2021 Leili Tavabi, Trang Tran, Kalin Stefanov, Brian Borsari, Joshua Woolley, Stefan Scherer, Mohammad Soleymani

Analysis of client and therapist behavior in counseling sessions can provide helpful insights for assessing the quality of the session and consequently, the client’s behavioral outcome.

Classification

MARLIN: Masked Autoencoder for facial video Representation LearnINg

1 code implementation12 Nov 2022 Zhixi Cai, Shreya Ghosh, Kalin Stefanov, Abhinav Dhall, Jianfei Cai, Hamid Rezatofighi, Reza Haffari, Munawar Hayat

This paper proposes a self-supervised approach to learn universal facial representations from videos, that can transfer across a variety of facial analysis tasks such as Facial Attribute Recognition (FAR), Facial Expression Recognition (FER), DeepFake Detection (DFD), and Lip Synchronization (LS).

DeepFake Detection Face Swapping +5

Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation

no code implementations9 Aug 2022 Mohammad Adiban, Kalin Stefanov, Sabato Marco Siniscalchi, Giampiero Salvi

We propose a multi-layer variational autoencoder method, we call HR-VQVAE, that learns hierarchical discrete representations of the data.

Image Reconstruction

Visual Representations of Physiological Signals for Fake Video Detection

no code implementations18 Jul 2022 Kalin Stefanov, Bhawna Paliwal, Abhinav Dhall

We investigate two strategies for combining the video and physiology modalities, either by augmenting the video with information from the physiology or by novelly learning the fusion of those two modalities with a proposed Graph Convolutional Network architecture.

Misinformation

Webcam-based Eye Gaze Tracking under Natural Head Movement

no code implementations29 Mar 2018 Kalin Stefanov

Furthermore, we can report that the proposed tracker commits a mean error of (87. 18, 103. 86) pixels in x and y direction, respectively, under natural head movement.

Self-Supervised Vision-Based Detection of the Active Speaker as Support for Socially-Aware Language Acquisition

no code implementations24 Nov 2017 Kalin Stefanov, Jonas Beskow, Giampiero Salvi

Active speaker detection is a fundamental prerequisite for any artificial cognitive system attempting to acquire language in social settings.

Language Acquisition

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