Geunseob Oh

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 10

Top Topics

Energy Consumption

Gaussian Markov Random Field

Semantic Parsing

Top Venues

Publications

Geunseob Oh, Rahul Goel, Chris Hidey, Shachi Paul, Aditya Gupta, Pararth Shah, Rushin Shah
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning. COLING (2022)
Geunseob Oh, David J. LeBlanc, Huei Peng
Vehicle Energy Dataset (VED), A Large-Scale Dataset for Vehicle Energy Consumption Research. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Geunseob Oh, Rahul Goel, Christopher Hidey, Shachi Paul, Aditya Gupta, Pararth Shah, Rushin Shah
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning. CoRR (2022)
Geunseob Oh, Huei Peng
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving. CoRR (2022)
Geunseob Oh, Jean-Sébastien Valois
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting. CVPR (2020)
Nauman Sohani, Geunseob Oh, Xinpeng Wang
A Data-driven, Falsification-based Model of Human Driver Behavior. ACC (2020)
Geunseob Oh, Jean-Sebastien Valois
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting. CoRR (2019)
Geunseob Oh, Huei Peng
Longitudinal Trajectory Prediction of Human-driven Vehicles Near Traffic Lights. CoRR (2019)
Nauman Sohani, Geunseob Oh, Xinpeng Wang
A Data-driven, Falsification-based Model of Human Driver Behavior. CoRR (2019)
Geunseob Oh, Huei Peng
Eco-driving at Signalized Intersections: What is Possible in the Real-World? ITSC (2018)