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Mayank Bansal
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Journal Articles
- 2021
- [j1]Jinkyu Kim
, Mayank Bansal:
Towards an Interpretable Deep Driving Network by Attentional Bottleneck. IEEE Robotics Autom. Lett. 6(4): 7349-7356 (2021)
Conference and Workshop Papers
- 2023
- [c30]Sharath H. Padmanabha
, Fahad Shaikh
, Mayank Bansal
, Debanjan Chatterjee
, Preeti Singh
, Amey Karkare
, Purushottam Kar
:
PRIORITY: An Intelligent Problem Indicator Repository. ISEC 2023: 9:1-9:10 - [c29]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: 11:1-11:11 - 2022
- [c28]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: 8957-8963 - [c27]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: 135-138 - [c26]Ishan Arora, Namit Khanduja, Mayank Bansal:
Effect of Distance Metric and Feature Scaling on KNN Algorithm while Classifying X-rays. RIF 2022: 61-75 - 2020
- [c25]Jinkyu Kim, Mayank Bansal:
Attentional Bottleneck: Towards an Interpretable Deep Driving Network. CVPR Workshops 2020: 1310-1313 - 2019
- [c24]Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov:
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRL 2019: 86-99 - [c23]Mayank Bansal, Alex Krizhevsky, Abhijit S. Ogale:
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst. Robotics: Science and Systems 2019 - 2015
- [c22]Chaitanya Desai, Jayan Eledath
, Harpreet S. Sawhney, Mayank Bansal:
De-correlating CNN Features for Generative Classification. WACV 2015: 428-435 - [c21]Fan Yang, Mayank Bansal:
Feature Fusion by Similarity Regression for Logo Retrieval. WACV 2015: 959 - 2014
- [c20]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: 854-862 - [c19]Mayank Bansal, Kostas Daniilidis:
Geometric Urban Geo-localization. CVPR 2014: 3978-3985 - [c18]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: 401-408 - 2013
- [c17]Mayank Bansal, Kostas Daniilidis:
Joint Spectral Correspondence for Disparate Image Matching. CVPR 2013: 2802-2809 - [c16]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: 5877-5882 - [c15]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: 567-574 - 2012
- [c14]Jiejie Zhu, Mayank Bansal, Nick Vander Valk, Hui Cheng:
Adaptive Rendering for Large-Scale Skyline Characterization and Matching. ECCV Workshops (1) 2012: 163-174 - [c13]Mayank Bansal, Kostas Daniilidis, Harpreet S. Sawhney:
Ultra-wide Baseline Facade Matching for Geo-localization. ECCV Workshops (1) 2012: 175-186 - 2011
- [c12]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: 299-306 - [c11]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: 1803-1810 - [c10]Mayank Bansal, Harpreet S. Sawhney, Hui Cheng, Kostas Daniilidis:
Geo-localization of street views with aerial image databases. ACM Multimedia 2011: 1125-1128 - 2010
- [c9]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: 903-909 - 2009
- [c8]Mayank Bansal, Shunguang Wu, Jayan Eledath
:
Pedestrian association and localization in monocular FIR video sequence. CVPR Workshops 2009: 38-45 - [c7]Ben Southall, Mayank Bansal, Jayan Eledath
:
Real-time vehicle detection for highway driving. CVPR 2009: 541-548 - [c6]Mayank Bansal, Bogdan Matei, Harpreet S. Sawhney, Sang-Hack Jung, Jayan Eledath
:
Pedestrian detection with depth-guided structure labeling. ICCV Workshops 2009: 31-38 - 2008
- [c5]Mayank Bansal, Aveek Das, Greg Kreutzer, Jayan Eledath
, Rakesh Kumar, Harpreet S. Sawhney:
Vision-based Perception for Autonomous Urban Navigation. ITSC 2008: 434-440 - 2005
- [c4]Mayank Bansal, Aastha Jain, Theodore Camus, Aveek Das:
Towards a Practical Stereo Vision Sensor. CVPR Workshops 2005: 63 - [c3]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: 57-66 - 2004
- [c2]Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, Prem Kumar Kalra:
Modeling of Free-Form Surfaces and Shape From Shading. 3DPVT 2004: 600-607 - [c1]Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, Prem Kumar Kalra:
On Learning Shapes from Shades. ICVGIP 2004: 275-282
Parts in Books or Collections
- 2016
- [p2]Mayank Bansal, Kostas Daniilidis, Harpreet S. Sawhney:
Ultrawide Baseline Facade Matching for Geo-localization. Large-Scale Visual Geo-Localization 2016: 77-98 - [p1]Jiejie Zhu, Mayank Bansal, Nick Vander Valk, Hui Cheng:
Adaptive Rendering for Large-Scale Skyline Characterization and Matching. Large-Scale Visual Geo-Localization 2016: 225-237
Informal and Other Publications
- 2024
- [i6]Ketul Shah, Robert Crandall, Jie Xu, Peng Zhou, Marian George, Mayank Bansal, Rama Chellappa:
MV2MAE: Multi-View Video Masked Autoencoders. CoRR abs/2401.15900 (2024) - 2022
- [i5]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 abs/2206.00991 (2022) - 2020
- [i4]Jinkyu Kim, Mayank Bansal:
Attentional Bottleneck: Towards an Interpretable Deep Driving Network. CoRR abs/2005.04298 (2020) - 2019
- [i3]Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov:
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRR abs/1910.05449 (2019) - 2018
- [i2]Mayank Bansal, Alex Krizhevsky, Abhijit S. Ogale:
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst. CoRR abs/1812.03079 (2018) - 2014
- [i1]Mayank Bansal, Kostas Daniilidis:
Geometric Polynomial Constraints in Higher-Order Graph Matching. CoRR abs/1405.6261 (2014)
Coauthor Index
aka: Jayakrishnan Eledath
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