Currently, I work in stealth mode.
My passion lies in exploring the boundaries of AI models with human-like visual & linguistic (and/or emotional) capabilities.
My area of focus is on designing deep learning models for multi-modal data. Specifically, my typical methods use natural language to emphasize semantic differences or the emotional characteristics of depicted objects in visual data.
In the past, I interned at the Facebook AI Research Lab in Menlo Park and, before that, at Autodesk Research in San Francisco. A few years back, I was a research assistant in the Haussler Lab at UCSC and an Erasmus scholar at the Max Planck Institute for Intelligent Systems in Tüebingen, DE.
On weekends, depending on availability, I voluntarily host office hours for students (especially underrepresented groups and junior students) who want to get into or dive deeper into the fields of Machine Learning, Computer Vision, or NLP. Each slot is 20-minutes long. If you want to schedule a meeting, please fill out this questionnaire.
June 2023: I have two first-author papers appearing in CVPR-2023, Vancouver. Affection and ShapeTalk. A big shout-out to all my co-authors who have made these works a reality shared at the top-tier level of our research community.
December 2022: My first last-author paper is now a reality (ScanEnts3D). In this work, we exploit dense correspondences between 3D objects in scenes and referential language and improve the SoTA in two essential multi-modal tasks in 3D scenes. Big shout-out to my amazing intern Ahmed Abdelreheem for all his hard work.
March 2022: Our second workshop at the intersection of 3D scenes and natural language for common objects (L3DS), will be part of the ECCV-2022 workshop series. We are looking forward to a happy reunion and passionate, productive discussions.
November 2021: Gave a talk describing recent trends on Affective Deep Learning at Stanford's STATS 281 Statistical Analysis of Fine Art.
October 2021: I am excited to start my new role as a Research Scientist for the Creative Vision of SNAP Research.
March 2021: I successfully defended my Ph.D. Thesis titled "Learning to Generate and Differentiate 3D Objects Using Geometry & Language".
March 2021: I will give a lightning talk on "Art and AI" during HAI’s Intelligence Augmentation: AI Empowering People to Solve Global Challenges.
February 2021: I will co-organize the 1st Workshop on Language for 3D Scenes in CVPR 2021. We hope to spark new interest in this emerging area!
February 2021: I am initiating this "News" section. My intention is to give the gist of my (primarily) professional updates to visitors.