Ankit Laddha

According to our database, Ankit Laddha authored at least 13 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting.

Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Shivam Gautam, Carlos Vallespi-Gonzalez, Carl K. Wellington

IEEE Robotics Autom. Lett., 2021

RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting.

Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting Through Multi-View Fusion of LiDAR Data.

Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion.

Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun

CoRR, 2020

RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting.

Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez

CoRR, 2020

LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting.

Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, Carl K. Wellington

CoRR, 2020

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion.

Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun

Proceedings of the 4th Conference on Robot Learning, 2020

2019

LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving.

Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation.

Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017

Resolving vision and language ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes.

Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra

Comput. Vis. Image Underst., 2017

2016

Map-supervised road detection.

Ankit Laddha, Mehmet Kemal Kocamaz, Luis E. Navarro-Serment, Martial Hebert

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes.

Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Active learning for structured probabilistic models with histogram approximation.

Qing Sun, Ankit Laddha, Dhruv Batra

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015