Ziad Al-Halah

Ph.D. student & Research Assistant

Vincenz-Priessnitz-strasse 3
Computer Vision for Human-Computer Interaction Lab (cv:hci)
Karlsruhe Institute of Technology
Karlsruhe, 76131
Germany

ziad.al-halah at kit.edu
cvhci.anthropomatik.kit.edu

ResearchGate
Google Scholar
Mendeley
DBLP

Awards

Winner of the Textbook Question Answering Challenge, CVPR 2017.
Best Presentation Award, ICVSS 2015.
Best Student Paper Award, ICPR 2014.

Note

This web page is no longer maintained. I'm currently a Postdoctoral Researcher in UT Austin. Please visit my Homepage in UT Austin or follow the Homepage link in my Google Scholar page to get my latest updates and contact information.

Welcome

I am a PhD student at the Computer Vision for Human Computer Interaction (CVHCI) lab, Karlsruhe Institute of Technology, Germany. My research interest includes computer vision, artificial intelligence and machine learning.

Latest News

Our team won the Textbook Question Answering Challenge (TQA) organized by AI2 in CVPR 2017. ICCV 2017 Paper on forecasting visual style in fashion. Research internship at Disney Research Pittsburgh, working with Dr. Leonid Sigal, spring 2017. CVPR 2017 Paper on automatic attribute discovery and learning at a large scale. Visiting Prof. Kristen Grauman's computer vision group at the University of Texas at Austin, fall 2016. CVPR 2016 Paper on predicting class-attribute associations via semantic relations.

Publications

Fashion Forward: Forecasting Visual Style in Fashion

Ziad Al-Halah, Rainer Stiefelhagen and Kristen Grauman
IEEE International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017.

Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories

Ziad Al-Halah and Rainer Stiefelhagen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, Jul. 2017.

Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning

Ziad Al-Halah, Makarand Tapaswi and Rainer Stiefelhagen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, Jun. 2016.

Naming TV Characters by Watching and Analyzing Dialogs

Monica-Laura Haurilet, Makarand Tapaswi, Ziad Al-Halah and Rainer Stiefelhagen
IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, USA, March 2016.

Transfer Metric Learning for Action Similarity using High-Level Semantics

Ziad Al-Halah, Lukas Rybok and Rainer Stiefelhagen
Pattern Recognition Letters (PRL), Jul. 2015.

Hierarchical Transfer of Semantic Attributes

Ziad Al-Halah and Rainer Stiefelhagen
IEEE Computer Vision and Pattern Recognition Workshop on Fine-Grained Visual Categorization (CVPR), Boston, USA, Jun. 2015.

Accio: A Data Set for Face Track Retrieval in Movies Across Age

Esam Ghaleb, Makarand Tapaswi, Ziad Al-Halah, Hazım Kemal Ekenel and Rainer Stiefelhagen
ACM International Conference on Multimedia Retrieval (ICMR), Shanghai, China, Jun. 2015.
Short paper, Poster.

Action Unit Intensity Estimation using Hierarchical Partial Least Squares

Tobias Gehrig*, Ziad Al-Halah*, Hazım Kemal Ekenel and Rainer Stiefelhagen
IEEE International Conference on Automatic Face and Gesture Recognition (FG), Ljubljana, Slovenia, May 2015.
(* = equal contribution)
Oral, Acceptance rate=12.2%.

How to Transfer? Zero-Shot Object Recognition via Hierarchical Transfer of Semantic Attributes

Ziad Al-Halah and Rainer Stiefelhagen
IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, USA, Jan. 2015.
Oral+Poster, Acceptance rate=36.7%, .

What to Transfer? High-Level Semantics in Transfer Metric Learning for Action Similarity

Ziad Al-Halah, Lukas Rybok and Rainer Stiefelhagen
International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, Aug. 2014.
Oral, Acceptance rate=14.1%, .

Important Stuff, Everywhere! Activity Recognition with Salient Proto-Objects as Context

Lukas Rybok, Boris Schauerte, Ziad Al-Halah and Rainer Stiefelhagen
IEEE Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs CO, USA, Mar. 2014.
Oral+Poster, Acceptance rate=40%.

Learning Semantic Attributes via a Common Latent Space

Ziad Al-Halah, Tobias Gehrig and Rainer Stiefelhagen
International Conference On Computer Vision Theory and Applications (VISAPP), Lisbon, Portugal, Jan. 2014.
Oral, Full paper, Acceptance rate=17.2%.

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