Examining the Impact of Blur on Recognition by Convolutional Networks. - Igor Vasiljevic; Ayan Chakrabarti; Gregory Shakhnarovich (CoRR, 2016)

DIODE: A Dense Indoor and Outdoor DEpth Dataset. - Igor Vasiljevic; Nicholas I. Kolkin; Shanyi Zhang; Ruotian Luo; Haochen Wang; Falcon Z. Dai; Andrea F. Daniele; Mohammadreza Mostajabi; Steven Basart; Matthew R. Walter; Gregory Shakhnarovich (CoRR, 2019)

Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. - Igor Vasiljevic; Vitor Guizilini; Rares Ambrus; Sudeep Pillai; Wolfram Burgard; Greg Shakhnarovich; Adrien Gaidon (3DV, 2020)

Depth Field Networks For Generalizable Multi-view Scene Representation. - Vitor Guizilini; Igor Vasiljevic; Jiading Fang; Rare Ambru; Greg Shakhnarovich; Matthew R. Walter; Adrien Gaidon (ECCV (32), 2022)

Self-Supervised Camera Self-Calibration from Video. - Jiading Fang; Igor Vasiljevic; Vitor Guizilini; Rares Ambrus; Greg Shakhnarovich; Adrien Gaidon; Matthew R. Walter (ICRA, 2022)

Depth Field Networks for Generalizable Multi-view Scene Representation. - Vitor Guizilini; Igor Vasiljevic; Jiading Fang; Rares Ambrus; Greg Shakhnarovich; Matthew R. Walter; Adrien Gaidon (CoRR, 2022)

Neural Camera Models. - Igor Vasiljevic (CoRR, 2022)

Full Surround Monodepth From Multiple Cameras. - Vitor Guizilini; Igor Vasiljevic; Rares Ambrus; Greg Shakhnarovich; Adrien Gaidon (IEEE Robotics Autom. Lett., 2022)

Towards Zero-Shot Scale-Aware Monocular Depth Estimation. - Vitor Guizilini; Igor Vasiljevic; Dian Chen 005; Rares Ambrus; Adrien Gaidon (ICCV, 2023)

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. - Vitor Guizilini; Igor Vasiljevic; Jiading Fang; Rares Ambrus; Sergey Zakharov; Vincent Sitzmann; Adrien Gaidon (ICCV, 2023)

Robust Self-Supervised Extrinsic Self-Calibration. - Takayuki Kanai; Igor Vasiljevic; Vitor Guizilini; Adrien Gaidon; Rares Ambrus (IROS, 2023)

NeRFuser: Large-Scale Scene Representation by NeRF Fusion. - Jiading Fang; Shengjie Lin; Igor Vasiljevic; Vitor Guizilini; Rares Ambrus; Adrien Gaidon; Gregory Shakhnarovich; Matthew R. Walter (CoRR, 2023)

Transcrib3D: 3D Referring Expression Resolution through Large Language Models. - Jiading Fang; Xiangshan Tan; Shengjie Lin; Igor Vasiljevic; Vitor Guizilini; Hongyuan Mei; Rares Ambrus; Gregory Shakhnarovich; Matthew R. Walter (IROS, 2024)

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 Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

A Multi-flash Stereo Camera for Photo-realistic Capture of Small Scenes. - Arkadeep Narayan Chaudhury; Igor Vasiljevic; Sergey Zakharov; Vitor Guizilini; Rares Ambrus; Srinivasa Narasimhan; Christopher G. Atkeson (SIGGRAPH Asia Technical Communications, 2024)

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; et al. (CoRR, 2024)

Linearizing Large Language Models. - Jean Mercat; Igor Vasiljevic; Sedrick Keh; Kushal Arora; Achal Dave; Adrien Gaidon; Thomas Kollar (CoRR, 2024)

Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry. - Takayuki Kanai; Igor Vasiljevic; Vitor Guizilini; Kazuhiro Shintani (CoRR, 2024)

Incorporating dense metric depth into neural 3D representations for view synthesis and relighting. - Arkadeep Narayan Chaudhury; Igor Vasiljevic; Sergey Zakharov; Vitor Guizilini; Rares Ambrus; Srinivasa Narasimhan; Christopher G. Atkeson (CoRR, 2024)

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; et al. (ICLR, 2025)

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)

FastMap: Revisiting Dense and Scalable Structure from Motion. - Jiahao Li; Haochen Wang; Muhammad Zubair Irshad; Igor Vasiljevic; Matthew R. Walter; Vitor Campagnolo Guizilini; Greg Shakhnarovich (CoRR, 2025)

Understanding Complexity in VideoQA via Visual Program Generation. - Cristóbal Eyzaguirre; Igor Vasiljevic; Achal Dave; Jiajun Wu 001; Rares Andrei Ambrus; Thomas Kollar; Juan Carlos Niebles; Pavel Tokmakov (CoRR, 2025)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)