Ziad Al-Halah

PostDoctoral Fellow

The University of Texas at Austin
Computer Science Department
2317 Speedway, D9500
Austin, TX 78712

ziad at cs.utexas.edu
cs.utexas.edu

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Awards

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

Welcome

I am a PostDoctoral Fellow in the Computer Science Department, at the University of Texas at Austin, working with Prof. Kristen Grauman in the Computer Vision Group. Before that, I was a resident researcher with the Artificial Intelligence group at NAVER in South Korea, and a visiting researcher with the Coretx / Computer Vision group at Twitter in the UK. I received my PhD in 2018 with distinction (summa cum laude) from the Karlsruhe Institute of Technology in Germany, working in the Computer Vision for Human Computer Interaction Laboratory.

My research interests are in artificial intelligence and computer vision. I'm primary interested in transfer learning, zero-shot learning, vision and language, image understanding, and visual fashion analysis.

Publications

al-halah2020b

Modeling Fashion Influence from Photos

Ziad Al-Halah and Kristen Grauman
IEEE Transactions on Multimedia (TMM), 2020.

ramakrishnan2020occant

Occupancy Anticipation for Efficient Exploration and Navigation

Santhosh K. Ramakrishnan, Ziad Al-Halah and Kristen Grauman
European Conference on Computer Vision (ECCV), Aug. 2020.
Spotlight. Winner of the 2020 Habitat Challenge (PointNav).

chen2020audionav

SoundSpaces: Audio-Visual Navigation in 3D Environments

Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Ithapu, Philip W Robinson and Kristen Grauman
European Conference on Computer Vision (ECCV), Aug. 2020.
Spotlight.

gao2020visualechoes

VisualEchoes: Spatial Image Representation Learning through Echolocation

Ruohan Gao, Changan Chen, Ziad Al-Halah, Carl Schissler and Kristen Grauman
European Conference on Computer Vision (ECCV), Aug. 2020.

al-halah2020

From Paris to Berlin: Discovering Fashion Style Influences Around the World

Ziad Al-Halah and Kristen Grauman
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020.

al-halah2019

Smile, Be Happy :) Emoji Embedding for Visual Sentiment Analysis

Ziad Al-Halah, Andrew Aitken, Wenzhe Shi and Jose Caballero
IEEE International Conference on Computer Vision Workshops (ICCV), Seoul, Korea, Oct. 2019.

haurilet2019

SPaSe-Multi-Label Page Segmentation for Presentation Slides

Monica Haurilet, Ziad Al-Halah and Rainer Stiefelhagen
IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, Jan. 2019.

roitberg2018

Informed Democracy: Voting-based Novelty Detection for Action Recognition

Alina Roitberg*, Ziad Al-Halah* and Rainer Stiefelhagen
The British Machine Vision Conference (BMVC), Newcastle, UK, Sept. 2018.
(* = equal contribution).

haurilet2018

MoQA – A Multi-Modal Question Answering Architecture

Monica Haurilet, Ziad Al-Halah and Rainer Stiefelhagen
European Conference on Computer Vision Workshops (ECCV), Munich, Germany, Sept. 2018.
Winner of the TQA challenge at CVPR 2017.

Al-Halah2017b

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.

Al-Halah2017

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.

Al-Halah2016

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.

Haurilet2016

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.

Al-Halah2015d

Transfer Metric Learning for Action Similarity using High-Level Semantics

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

Al-Halah2015c

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.

Ghaleb2015_Accio

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.

Gehrig2015_hPLS

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%.

Al-Halah2015_how2transfer

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%, Winner of ICVSS 2015 Best Presentation Award.

Al-Halah2014_what2transfer

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%, Best Student Paper Award.

Rybok2014_protoobj

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%.

Al-Halah2014_attributes

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%.