Igor Vasiljevic

Research Scientist, Toyota Research Institute

Joined

November 2018

Names

Igor Vasiljevic (Preferred)

Emails

****@ttic.edu (Confirmed)

****@tri.global (Confirmed)

****@uchicago.edu (Confirmed)

Personal Links

Homepage

Career & Education History

Research Scientist

Toyota Research Institute (tri.global)

2022 – Present

PhD student

Toyota Technological Institute at Chicago (ttic.edu)

2017 – 2022

MS student

University of Chicago (uchicago.edu)

2015 – 2016

Undergrad student

University of Chicago (uchicago.edu)

2010 – 2013

Advisors, Relations & Conflicts

PhD Advisor

Greg Shakhnarovich

2017 – 2022

Expertise

natural language processing

2022 – Present

computer vision

2016 – Present

Publications

FastMap: Revisiting Structure from Motion through First-Order Optimization
Jiahao Li, Haochen Wang, Muhammad Zubair Irshad, Igor Vasiljevic, Matthew Walter, Vitor Campagnolo Guizilini, Greg Shakhnarovich
- 3DV 2026 Oral
- Readers: Everyone
Understanding Complexity in VideoQA via Visual Program Generation
Cristobal Eyzaguirre, Igor Vasiljevic, Achal Dave, Jiajun Wu, Rares Andrei Ambrus, Thomas Kollar, Juan Carlos Niebles, Pavel Tokmakov
- ICML 2025 poster
- Readers: Everyone
Should VLMs be Pre-trained with Image Data?
Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre, Kushal Arora, Igor Vasiljevic, Benjamin Burchfiel, Shuran Song, Russ Tedrake, Thomas Kollar, Ludwig Schmidt, Achal Dave
- ICLR 2025 Poster
- Readers: Everyone
Language models scale reliably with over-training and on downstream tasks
Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar et al. (5 additional authors not shown)
- ICLR 2025 Poster
- Readers: Everyone
Understanding Complexity in VideoQA via Visual Program Generation
Cristobal Eyzaguirre, Igor Vasiljevic, Achal Dave, Jiajun Wu, Rares Andrei Ambrus, Thomas Kollar, Juan Carlos Niebles, Pavel Tokmakov
- Submitted to ICLR 2025
- Readers: Everyone
Incorporating dense metric depth into neural 3D representations for view synthesis and relighting
Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Campagnolo Guizilini, Rares Andrei Ambrus, Srinivasa Narasimhan, Christopher G Atkeson
- 3DV 2025 Poster
- Readers: Everyone
DataComp-LM: In search of the next generation of training sets for language models
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton et al. (39 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Language models scale reliably with over-training and on downstream tasks
Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar et al. (5 additional authors not shown)
- Submitted to NeurIPS 2024
- Readers: Everyone
Linearizing Large Language Models
Jean Mercat, Igor Vasiljevic, Sedrick Scott Keh, Kushal Arora, Achal Dave, Adrien Gaidon, Thomas Kollar
- COLM
- Readers: Everyone
Depth Field Networks for Generalizable Multi-view Scene Representation
Vitor Campagnolo Guizilini, Igor Vasiljevic, Jiading Fang, Rares Andrei Ambrus, Greg Shakhnarovich, Matthew Walter, Adrien Gaidon
- 17 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone

Co-Authors

View all 78 co-authors