Mayank Bansal

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 14

Top Topics

Top Venues

IEEE Robotics Autom. Lett.

Publications

Ketul Shah, Robert Crandall, Jie Xu, Peng Zhou, Marian George, Mayank Bansal, Rama Chellappa
MV2MAE: Multi-View Video Masked Autoencoders. CoRR (2024)
Sharath H. Padmanabha, Fahad Shaikh, Mayank Bansal, Debanjan Chatterjee, Preeti Singh, Amey Karkare, Purushottam Kar
PRIORITY: An Intelligent Problem Indicator Repository. ISEC (2023)
Sharath H. Padmanabha, Fahad Shaikh, Mayank Bansal, Debanjan Chatterjee, Preeti Singh, Amey Karkare, Purushottam Kar
Advances in Automated Pedagogical Compile-time Error Repair. ISEC (2023)
Jinkyu Kim, Reza Mahjourian, Scott Ettinger, Mayank Bansal, Brandyn White, Ben Sapp, Dragomir Anguelov
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving. ICRA (2022)
Poliyapram Vinayaraj, Jeremiah Luke Anderson, Mayank Bansal
A Multi-Task Deep Learning Model for Population and LULC (M2PL-NET) Prediction with Scaling to a People Flow Grid. IGARSS (2022)
Ishan Arora, Namit Khanduja, Mayank Bansal
Effect of Distance Metric and Feature Scaling on KNN Algorithm while Classifying X-rays. RIF (2022)
Jinkyu Kim, Reza Mahjourian, Scott Ettinger, Mayank Bansal, Brandyn White, Ben Sapp, Dragomir Anguelov
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving. CoRR (2022)
Jinkyu Kim, Mayank Bansal
Towards an Interpretable Deep Driving Network by Attentional Bottleneck. IEEE Robotics Autom. Lett. 6 (4) (2021)
Jinkyu Kim, Mayank Bansal
Attentional Bottleneck: Towards an Interpretable Deep Driving Network. CVPR Workshops (2020)
Jinkyu Kim, Mayank Bansal
Attentional Bottleneck: Towards an Interpretable Deep Driving Network. CoRR (2020)
Mayank Bansal, Alex Krizhevsky, Abhijit S. Ogale
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst. Robotics: Science and Systems (2019)
Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRR (2019)
Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRL (2019)
Mayank Bansal, Alex Krizhevsky, Abhijit S. Ogale
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst. CoRR (2018)
Fan Yang, Mayank Bansal
Feature Fusion by Similarity Regression for Logo Retrieval. WACV (2015)
Chaitanya Desai, Jayan Eledath, Harpreet S. Sawhney, Mayank Bansal
De-correlating CNN Features for Generative Classification. WACV (2015)
Mayank Bansal, Kostas Daniilidis
Geometric Urban Geo-localization. CVPR (2014)
Mayank Bansal, Kostas Daniilidis
Geometric Polynomial Constraints in Higher-Order Graph Matching. CoRR (2014)
Lu Wang, Vinutha Kallem, Mayank Bansal, Jayan Eledath, Harpreet S. Sawhney, Denise J. Pearson, Richard A. Stone
Automatic 3D change detection for glaucoma diagnosis. WACV (2014)
Chaitali Gupta, Mayank Bansal, Tzu-Cheng Chuang, Ranjan Sinha, Sami Ben-Romdhane
Astro: A predictive model for anomaly detection and feedback-based scheduling on Hadoop. IEEE BigData (2014)
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
Interactive Retinal Vessel Extraction by Integrating Vessel Tracing and Graph Search. MICCAI (2) (2013)
Mayank Bansal, Mikhail Sizintsev, Jayakrishnan Eledath, Harpreet S. Sawhney, Denise J. Pearson, Richard A. Stone
3D optic disc reconstruction via a global fundus stereo algorithm. EMBC (2013)
Mayank Bansal, Kostas Daniilidis
Joint Spectral Correspondence for Disparate Image Matching. CVPR (2013)
Mayank Bansal, Kostas Daniilidis, Harpreet S. Sawhney
Ultra-wide Baseline Facade Matching for Geo-localization. ECCV Workshops (1) (2012)
Jiejie Zhu, Mayank Bansal, Nick Vander Valk, Hui Cheng
Adaptive Rendering for Large-Scale Skyline Characterization and Matching. ECCV Workshops (1) (2012)
Sujit Kuthirummal, Mayank Bansal, Harpreet S. Sawhney, Jayan Eledath, Denise J. Pearson, Richard A. Stone
3D Alignment and Change Detection from Uncalibrated Eye Images. HISB (2011)
Mayank Bansal, Bogdan Matei, Ben Southall, Jayan Eledath, Harpreet S. Sawhney
A LIDAR streaming architecture for mobile robotics with application to 3D structure characterization. ICRA (2011)
Mayank Bansal, Harpreet S. Sawhney, Hui Cheng, Kostas Daniilidis
Geo-localization of street views with aerial image databases. ACM Multimedia (2011)
Mayank Bansal, Sang-Hack Jung, Bogdan Matei, Jayan Eledath, Harpreet S. Sawhney
A real-time pedestrian detection system based on structure and appearance classification. ICRA (2010)
Mayank Bansal, Shunguang Wu, Jayan Eledath
Pedestrian association and localization in monocular FIR video sequence. CVPR Workshops (2009)
Ben Southall, Mayank Bansal, Jayan Eledath
Real-time vehicle detection for highway driving. CVPR (2009)
Mayank Bansal, Bogdan Matei, Harpreet S. Sawhney, Sang-Hack Jung, Jayan Eledath
Pedestrian detection with depth-guided structure labeling. ICCV Workshops (2009)
Mayank Bansal, Aveek Das, Greg Kreutzer, Jayan Eledath, Rakesh Kumar, Harpreet S. Sawhney
Vision-based Perception for Autonomous Urban Navigation. ITSC (2008)
Nicholas S. Flann, Jing Hu, Mayank Bansal, Vinay Patel, Gregory J. Podgorski
Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks. ECAL (2005)
Mayank Bansal, Aastha Jain, Theodore Camus, Aveek Das
Towards a Practical Stereo Vision Sensor. CVPR Workshops (2005)
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, Prem Kumar Kalra
On Learning Shapes from Shades. ICVGIP (2004)
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, Prem Kumar Kalra
Modeling of Free-Form Surfaces and Shape From Shading. 3DPVT (2004)