Ankit Laddha

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 18

Top Topics

Joint Segmentation

Object Detection

Top Venues

IEEE Robotics Autom. Lett.

Publications

Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting Through Multi-View Fusion of LiDAR Data. CVPR Workshops (2021)
Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Shivam Gautam, Carlos Vallespi-Gonzalez, Carl K. Wellington
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. IEEE Robotics Autom. Lett. 6 (2) (2021)
Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data. CoRR (2021)
Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. IROS (2021)
Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, Carl K. Wellington
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. CoRR (2020)
Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRR (2020)
Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez
RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. CoRR (2020)
Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRL (2020)
Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CVPR Workshops (2019)
Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. CVPR (2019)
Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. CoRR (2019)
Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CoRR (2019)
Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CVPR Workshops (2019)
Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra
Resolving vision and language ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes. Comput. Vis. Image Underst. 163 (2017)
Ankit Laddha, Mehmet Kemal Kocamaz, Luis E. Navarro-Serment, Martial Hebert
Map-supervised road detection. Intelligent Vehicles Symposium (2016)
Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes. EMNLP (2016)
Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes. CoRR (2016)
Qing Sun, Ankit Laddha, Dhruv Batra
Active learning for structured probabilistic models with histogram approximation. CVPR (2015)