Kooshan Hashemifard

11 papers A* 1C 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Recognition of Daily Activities through Multi-Modal Deep Learning: A Video, Pose, and Object-Aware Approach for Ambient Assisted Living.
CoRR
Kooshan Hashemifard, Pau Climent-Pérez, Francisco Flórez-Revuelta
2025 J jnl
When deep learning deciphers silent video: a survey on automatic deep lip reading.
Multim. Tools Appl.
Marzieh Oghbaie, Arian Sabaghi, Kooshan Hashemifard, Mohammad Akbari
2024 A* conf
"I Don't Want to Become a Number": Examining Different Stakeholder Perspectives on a Video-Based Monitoring System for Senior Care with Inherent Privacy Protection (by Design).
CHI
Tamara Mujirishvili, Anton Fedosov, Kooshan Hashemifard, Pau Climent-Pérez, Francisco Flórez-Revuelta
2024 J jnl
Weakly supervised human skin segmentation using guidance attention mechanisms.
Multim. Tools Appl.
Kooshan Hashemifard, Pau Climent-Pérez, Francisco Flórez-Revuelta
2023 C conf
A Fallen Person Detector with a Privacy-Preserving Edge-AI Camera.
ICT4AWE
Kooshan Hashemifard, Francisco Flórez-Revuelta, Gerard Lacey
2023 — conf
ODIN: An OmniDirectional INdoor dataset capturing Activities of Daily Living from multiple synchronized modalities.
CVPR Workshops
Siddharth Ravi, Pau Climent-Pérez, Théo Morales, Carlo Huesca-Spairani, Kooshan Hashemifard, Francisco Flórez-Revuelta
2023 J jnl
Weakly Supervised Human Skin Segmentation using Guidance Attention Mechanisms.
CoRR
Kooshan Hashemifard, Pau Climent-Pérez, Francisco Flórez-Revuelta
2022 — conf
From Garment to Skin: The visuAAL Skin Segmentation Dataset.
ICIAP Workshops (1)
Kooshan Hashemifard, Francisco Flórez-Revuelta
2022 — conf
Underneath Your Clothes: A Social and Technological Perspective on Nudity in The Context of AAL Technology.
PETRA
Caterina Maidhof, Kooshan Hashemifard, Julia Offermann, Martina Ziefle, Francisco Flórez-Revuelta
2021 J jnl
Advances and Challenges in Deep Lip Reading.
CoRR
Marzieh Oghbaie, Arian Sabaghi, Kooshan Hashemifard, Mohammad Akbari
2021 J jnl
Deep Learning meets Liveness Detection: Recent Advancements and Challenges.
CoRR
Arian Sabaghi, Marzieh Oghbaie, Kooshan Hashemifard, Mohammad Akbari