Modeling of Free-Form Surfaces and Shape From Shading. - Subhajit Sanyal; Mayank Bansal; Subhashis Banerjee; Prem Kumar Kalra (3DPVT, 2004)

On Learning Shapes from Shades. - Subhajit Sanyal; Mayank Bansal; Subhashis Banerjee; Prem Kumar Kalra (ICVGIP, 2004)

Towards a Practical Stereo Vision Sensor. - Mayank Bansal; Aastha Jain; Theodore Camus; Aveek Das (CVPR Workshops, 2005)

Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks. - Nicholas S. Flann; Jing Hu; Mayank Bansal; Vinay Patel; Gregory J. Podgorski (ECAL, 2005)

Vision-based Perception for Autonomous Urban Navigation. - Mayank Bansal; Aveek Das; Greg Kreutzer; Jayan Eledath; Rakesh Kumar 001; Harpreet S. Sawhney (ITSC, 2008)

Pedestrian association and localization in monocular FIR video sequence. - Mayank Bansal; Shunguang Wu; Jayan Eledath (CVPR Workshops, 2009)

Real-time vehicle detection for highway driving. - Ben Southall; Mayank Bansal; Jayan Eledath (CVPR, 2009)

Pedestrian detection with depth-guided structure labeling. - Mayank Bansal; Bogdan Matei; Harpreet S. Sawhney; Sang-Hack Jung; Jayan Eledath (ICCV Workshops, 2009)

A real-time pedestrian detection system based on structure and appearance classification. - Mayank Bansal; Sang-Hack Jung; Bogdan Matei; Jayan Eledath; Harpreet S. Sawhney (ICRA, 2010)

3D Alignment and Change Detection from Uncalibrated Eye Images. - Sujit Kuthirummal; Mayank Bansal; Harpreet S. Sawhney; Jayan Eledath; Denise J. Pearson; Richard A. Stone (HISB, 2011)

A LIDAR streaming architecture for mobile robotics with application to 3D structure characterization. - Mayank Bansal; Bogdan Matei; Ben Southall; Jayan Eledath; Harpreet S. Sawhney (ICRA, 2011)

Geo-localization of street views with aerial image databases. - Mayank Bansal; Harpreet S. Sawhney; Hui Cheng; Kostas Daniilidis (ACM Multimedia, 2011)

Ultra-wide Baseline Facade Matching for Geo-localization. - Mayank Bansal; Kostas Daniilidis; Harpreet S. Sawhney (ECCV Workshops (1), 2012)

Adaptive Rendering for Large-Scale Skyline Characterization and Matching. - Jiejie Zhu; Mayank Bansal; Nick Vander Valk; Hui Cheng (ECCV Workshops (1), 2012)

Joint Spectral Correspondence for Disparate Image Matching. - Mayank Bansal; Kostas Daniilidis (CVPR, 2013)

3D optic disc reconstruction via a global fundus stereo algorithm. - Mayank Bansal; Mikhail Sizintsev; Jayakrishnan Eledath; Harpreet S. Sawhney; Denise J. Pearson; Richard A. Stone (EMBC, 2013)

Interactive Retinal Vessel Extraction by Integrating Vessel Tracing and Graph Search. - Lu Wang; Vinutha Kallem; Mayank Bansal; Jayan Eledath; Harpreet S. Sawhney; Karen Karp; Denise J. Pearson; Monte D. Mills; Graham E. Quinn; Richard A. Stone (MICCAI (2), 2013)

Astro: A predictive model for anomaly detection and feedback-based scheduling on Hadoop. - Chaitali Gupta; Mayank Bansal; Tzu-Cheng Chuang; Ranjan Sinha; Sami Ben-Romdhane (IEEE BigData, 2014)

Geometric Urban Geo-localization. - Mayank Bansal; Kostas Daniilidis (CVPR, 2014)

Automatic 3D change detection for glaucoma diagnosis. - Lu Wang; Vinutha Kallem; Mayank Bansal; Jayan Eledath; Harpreet S. Sawhney; Denise J. Pearson; Richard A. Stone (WACV, 2014)

Geometric Polynomial Constraints in Higher-Order Graph Matching. - Mayank Bansal; Kostas Daniilidis (CoRR, 2014)

De-correlating CNN Features for Generative Classification. - Chaitanya Desai; Jayan Eledath; Harpreet S. Sawhney; Mayank Bansal (WACV, 2015)

Feature Fusion by Similarity Regression for Logo Retrieval. - Fan Yang; Mayank Bansal (WACV, 2015)

Ultrawide Baseline Facade Matching for Geo-localization. - Mayank Bansal; Kostas Daniilidis; Harpreet S. Sawhney (Large-Scale Visual Geo-Localization, 2016)

Adaptive Rendering for Large-Scale Skyline Characterization and Matching. - Jiejie Zhu; Mayank Bansal; Nick Vander Valk; Hui Cheng (Large-Scale Visual Geo-Localization, 2016)

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. - Yuning Chai; Benjamin Sapp; Mayank Bansal; Dragomir Anguelov (CoRL, 2019)

ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst. - Mayank Bansal; Alex Krizhevsky; Abhijit S. Ogale (Robotics: Science and Systems, 2019)

Attentional Bottleneck: Towards an Interpretable Deep Driving Network. - Jinkyu Kim; Mayank Bansal (CVPR Workshops, 2020)

Towards an Interpretable Deep Driving Network by Attentional Bottleneck. - Jinkyu Kim 001; Mayank Bansal (IEEE Robotics Autom. Lett., 2021)

StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving. - Jinkyu Kim 001; Reza Mahjourian; Scott Ettinger; Mayank Bansal; Brandyn White; Ben Sapp; Dragomir Anguelov (ICRA, 2022)

A Multi-Task Deep Learning Model for Population and LULC (M2PL-NET) Prediction with Scaling to a People Flow Grid. - Poliyapram Vinayaraj; Jeremiah Luke Anderson; Mayank Bansal (IGARSS, 2022)

Effect of Distance Metric and Feature Scaling on KNN Algorithm while Classifying X-rays. - Ishan Arora; Namit Khanduja; Mayank Bansal (RIF, 2022)

PRIORITY: An Intelligent Problem Indicator Repository. - Sharath H. Padmanabha; Fahad Shaikh; Mayank Bansal; Debanjan Chatterjee; Preeti Singh; Amey Karkare; Purushottam Kar (ISEC, 2023)

Advances in Automated Pedagogical Compile-time Error Repair. - Sharath H. Padmanabha; Fahad Shaikh; Mayank Bansal; Debanjan Chatterjee; Preeti Singh; Amey Karkare; Purushottam Kar (ISEC, 2023)

Digital Twin as an Aid for Optimizing Climacteric Fruit Supply Chains. - Souvik Barat; Parijat Deshpande; Abhishek Yadav; Aditya A. Paranjape; Vinay Kulkarni 001; Beena Rai; Harshil Ketan Vora; Sakshi Kumar; Ishan Pahare; Pratik Mittal; Mayank Bansal; Vijay Sai (ANNSIM, 2024)

MV2MAE: Multi-View Video Masked Autoencoders. - Ketul Shah; Robert Crandall; Jie Xu; Peng Zhou 003; Marian George; Mayank Bansal; Rama Chellappa (CoRR, 2024)