Suffix Trees for Partial Words and the Longest Common Compatible Prefix Problem. - Francine Blanchet-Sadri; Justin Lazarow (LATA, 2013)

Longest Common Extensions in Partial Words. - Francine Blanchet-Sadri; Rachel Harred; Justin Lazarow (IWOCA, 2015)

Introspective Neural Networks for Generative Modeling. - Justin Lazarow; Long Jin 001; Zhuowen Tu (ICCV, 2017)

Introspective Classification with Convolutional Nets. - Long Jin 001; Justin Lazarow; Zhuowen Tu (NIPS, 2017)

Introspective Classifier Learning: Empower Generatively. - Long Jin 001; Justin Lazarow; Zhuowen Tu (CoRR, 2017)

Introspective Generative Modeling: Decide Discriminatively. - Justin Lazarow; Long Jin 001; Zhuowen Tu (CoRR, 2017)

Computing primitively-rooted squares and runs in partial words. - Francine Blanchet-Sadri; Justin Lazarow; Jordan Nikkel; J. D. Quigley; Xufan Zhang (Eur. J. Comb., 2018)

Learning Instance Occlusion for Panoptic Segmentation. - Justin Lazarow; Kwonjoon Lee; Zhuowen Tu (CoRR, 2019)

Unaligned Image-to-Sequence Transformation with Loop Consistency. - Siyang Wang 002; Justin Lazarow; Kwonjoon Lee; Zhuowen Tu (CoRR, 2019)

Learning Instance Occlusion for Panoptic Segmentation. - Justin Lazarow; Kwonjoon Lee; Kunyu Shi; Zhuowen Tu (CVPR, 2020)

Local Binary Pattern Networks. - Jeng-Hau Lin; Justin Lazarow; Yunfan Yang; Dezhi Hong; Rajesh K. Gupta 001; Zhuowen Tu (WACV, 2020)

Layout Generation and Completion with Self-attention. - Kamal Gupta 002; Alessandro Achille; Justin Lazarow; Larry Davis 001; Vijay Mahadevan; Abhinav Shrivastava (CoRR, 2020)

LayoutTransformer: Layout Generation and Completion with Self-attention. - Kamal Gupta 002; Justin Lazarow; Alessandro Achille; Larry Davis 001; Vijay Mahadevan; Abhinav Shrivastava (ICCV, 2021)

Instance Segmentation with Mask-supervised Polygonal Boundary Transformers. - Justin Lazarow; Weijian Xu; Zhuowen Tu (CVPR, 2022)

Generative Modeling with Introspective Networks, Amodally-informed Vision Algorithms, and Regression-based Instance Segmentation - Justin Lazarow (2022)

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. - Justin Lazarow; Kihyuk Sohn; Chen-Yu Lee; Chun-Liang Li; Zizhao Zhang; Tomas Pfister (WACV, 2023)

Cubify Anything: Scaling Indoor 3D Object Detection. - Justin Lazarow; David Griffiths; Gefen Kohavi; Francisco Crespo; Afshin Dehghan (CVPR, 2025)

MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs. - Erik A. Daxberger; Nina Wenzel; David Griffiths; Haiming Gang; Justin Lazarow; Gefen Kohavi; Kai Kang; Marcin Eichner; Yinfei Yang; Afshin Dehghan; Peter Grasch (CoRR, 2025)

Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping. - Justin Lazarow; Kai Kang; Afshin Dehghan (CoRR, 2025)