Abdelwahed Khamis - UNSW, Sydney, NSW, Australia

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Bio

Abdelwahed Khamis (Member, IEEE) received the Ph.D. degree in computer science and engineering from the University of New South Wales, Sydney, NSW, Australia, in 2020. He is a Research Scientist with Data61, Commonwealth Scientific and Industrial Research Organisation, Brisbane, QLD, Australia. His current research interests include AI on the edge, RF and device-free sensing, and multimodal sensing.

Research Interests

Papers共 16 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring

Jia Syuen Lim,Ziwei Wang,Jiajun Liu,Abdelwahed Khamis,Reza Arablouei, Robert Barlow, Ryan McAllister

International Joint Conference on Artificial Intelligence（2024）

Cited0Views0EIBibtex

Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement

Muhammad Umer Ramzan,Ali Zia,Abdelwahed Khamis, yman Elgharabawy, Ahmad Liaqat, Usman Ali

arxiv（2024）

Cited0Views0Bibtex

Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey

Abdelwahed Khamis,Russell Tsuchida,Mohamed Tarek,Vivien Rolland,Lars Petersson

IEEE Transactions on Pattern Analysis and Machine Intelligencepp.1-20, (2024)

Cited3Views0EIWOSBibtex

WiFi2Radar: Orientation Independent Single Receiver WiFi Sensing Via WiFi to Radar Translation

Isura Nirmal,Abdelwahed Khamis,Mahbub Hassan,Wen Hu, Rui Li,Avinash Kalyanaraman

IEEE Internet of Things Journalno. 9 (2024): 15750-15766

Cited0Views0EIWOSBibtex

OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D Via RF-Vision

Shujie Zhang,Tianyue Zheng,Zhe Chen,Jingzhi Hu,Abdelwahed Khamis,Jiajun Liu,Jun Luo

2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023)（2023）

Cited1Views0EIWOSBibtex

Topological Deep Learning: A Review of an Emerging Paradigm

Ali Zia,Abdelwahed Khamis,James Nichols,Usman Bashir Tayab,Zeeshan Hayder,Vivien Rolland,Eric Stone,Lars Petersson

CoRR (2023)

Cited3Views0EIBibtex

ICML 2023 Topological Deep Learning Challenge : Design and Results

Mathilde Papillon,Mustafa Hajij,Helen Jenne,Johan Mathe,Audun Myers,Theodore Papamarkou,Tolga Birdal,Tamal Dey,Tim Doster,Tegan Emerson, Gurusankar Gopalakrishnan,Devendra Govil,Aldo Guzman-Saenz,Henry Kvinge,Neal Livesay,Soham Mukherjee,Shreyas N. Samaga,Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri,Paul Rosen,Sophia Sanborn,Robin Walters,Jens Agerberg,Sadrodin Barikbin,Claudio Battiloro,Gleb Bazhenov,Guillermo Bernardez, Aiden Brent,Sergio Escalera,Simone Fiorellino,Dmitrii Gavrilev, Mohammed Hassanin,Paul Hausner, Odin Hoff Gardaa,Abdelwahed Khamis, Manuel Lecha,German Magai, Tatiana Malygina,Rube Ballester, Kalyan Nadimpalli,Alexander Nikitin, Abraham Rabinowitz,Alessandro Salatiello,Simone Scardapane,Luca Scofano, Suraj Singh,Jens Sjound, Pavel Snopov,Indro Spinelli,Lev Telyatnikov,Lucia Testa,Maosheng Yang, Yixiao Yue,Olga Zaghen,Ali Zia,Nina Miolane

TOPOLOGICAL, ALGEBRAIC AND GEOMETRIC LEARNING WORKSHOPS 2023, VOL 221 (2023)

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Earth Movers in the Big Data Era: A Review of Optimal Transport in Machine Learning

Abdelwahed Khamis,Russell Tsuchida, Mohamed Tarek, Vivien Rolland,Lars Petersson

CoRR (2023)

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CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation

Mohammed Hassanin,Abdelwahed Khamiss,Mohammed Bennamoun,Farid Boussaid,Ibrahim Radwan

Social Science Research Network (2022)

Cited12Views0EIBibtex

Deep Learning for Radio-based Human Sensing: Recent Advances and Future Directions

Isura Nirmal,Abdelwahed Khamis,Mahbub Hassan,Wen Hu,Xiaoqing Zhu

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorialsno. 2 (2021): 995-1019

Cited46Views0EIWOSBibtex

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