no code implementations • 27 Aug 2020 • Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez
Our model builds on a state-of-the-art Bird's-Eye View (BEV) network that fuses voxelized features from a sequence of historical LiDAR data as well as rasterized high-definition map to perform detection and prediction tasks.
no code implementations • 25 Apr 2019 • Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
In this paper, we present an extension to LaserNet, an efficient and state-of-the-art LiDAR based 3D object detector.
1 code implementation • WS 2014 • Yoon Kim, Yi-I Chiu, Kentaro Hanaki, Darshan Hegde, Slav Petrov
We provide a method for automatically detecting change in language across time through a chronologically trained neural language model.