Ankit Laddha
Ankit Laddha
Tempo Interactive
Verified email at alumni.cmu.edu
Title
Cited by
Cited by
Year
Lasernet: An efficient probabilistic 3d object detector for autonomous driving
GP Meyer, A Laddha, E Kee, C Vallespi-Gonzalez, CK Wellington
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1302019
Map-supervised road detection
A Laddha, MK Kocamaz, LE Navarro-Serment, M Hebert
2016 IEEE Intelligent Vehicles Symposium (IV), 118-123, 2016
792016
Sensor fusion for joint 3d object detection and semantic segmentation
GP Meyer, J Charland, D Hegde, A Laddha, C Vallespi-Gonzalez
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
482019
Resolving vision and language ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes
G Christie, A Laddha, A Agrawal, S Antol, Y Goyal, K Kochersberger, ...
Computer Vision and Image Understanding 163, 101-112, 2017
27*2017
Active learning for structured probabilistic models with histogram approximation
Q Sun, A Laddha, D Batra
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
262015
Laserflow: Efficient and probabilistic object detection and motion forecasting
GP Meyer, J Charland, S Pandey, A Laddha, S Gautam, ...
IEEE Robotics and Automation Letters 6 (2), 526-533, 2020
112020
Liranet: End-to-end trajectory prediction using spatio-temporal radar fusion
M Shah, Z Huang, A Laddha, M Langford, B Barber, S Zhang, ...
arXiv preprint arXiv:2010.00731, 2020
72020
Range-view LIDAR-based object detection
A Laddha, JA Bagnell, V Ramakrishna, Y Wang, C Vallespi-Gonzalez
US Patent 10,310,087, 2019
62019
Object Detection and Property Determination for Autonomous Vehicles
ER Kee, C Vallespi-Gonzalez, GP Meyer, A Laddha
US Patent App. 16/038,740, 2019
32019
Road detection and semantic segmentation without strong human supervision
A Laddha
Robotics Institute Carnegie Mellon University, Master Thesis, 2016
32016
Object Detection and Determination of Motion Information Using Curve-Fitting in Autonomous Vehicle Applications
C Vallespi-Gonzalez, S Chen, A Sen, A Laddha
US Patent App. 16/020,193, 2019
22019
Rv-fusenet: Range view based fusion of time-series lidar data for joint 3d object detection and motion forecasting
A Laddha, S Gautam, GP Meyer, C Vallespi-Gonzalez, CK Wellington
arXiv preprint arXiv:2005.10863, 2020
12020
Improving semantic scene understanding using prior information
A Laddha, M Hebert
Unmanned Systems Technology XVIII 9837, 98370Q, 2016
12016
Hybrid-view lidar-based object detection
C Vallespi-Gonzalez, A Laddha, GP Meyer, ER Kee
US Patent App. 17/067,135, 2021
2021
Semantic Segmentation of Radar Data
A Laddha, C Vallespi-Gonzalez, DB Barber, J White, A Kumar
US Patent App. 16/575,855, 2021
2021
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data
A Laddha, S Gautam, S Palombo, S Pandey, C Vallespi-Gonzalez
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Hybrid-view LIDAR-based object detection
C Vallespi-Gonzalez, A Laddha, GP Meyer, ER Kee
US Patent 10,809,361, 2020
2020
Holistic Scene Understanding via Multiple Structured Hypotheses from Perception Modules
G Christie, A Laddha, A Agrawal, S Antol, Y Goyal, D Batra
Language & Vision Workshop; SUNw: Scene Understanding Workshop. Conference …, 2015
2015
Publication Submission Form
A Laddha, MK Kocamaz, LE Navarro-Serment, M Hebert
Map-Supervised Road Detection Download PDF
A Laddha, MK Kocamaz, LE Navarro-Serment, M Hebert
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