Henggang Cui | DeepAI

DeepAI

Featured Co-authors

Chao Wang
142 publications
Yang Xu
76 publications
Jeff Schneider
55 publications
Lu Lu
33 publications
Rui Hu
25 publications
Nemanja Djuric
23 publications
Phillip B. Gibbons
17 publications
Carlos Vallespi-Gonzalez
14 publications
Song Feng
12 publications
Vladan Radosavljevic
12 publications
Fang-Chieh Chou
11 publications

∙ 10/31/2022

Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss

Robust motion forecasting of the dynamic scene is a critical component o...

Titas Chakraborty, et al. ∙

∙ 04/19/2022

Importance is in your attention: agent importance prediction for autonomous driving

Trajectory prediction is an important task in autonomous driving. State-...

Christopher Hazard, et al. ∙

∙ 11/05/2020

Ellipse Loss for Scene-Compliant Motion Prediction

Motion prediction is a critical part of self-driving technology, respons...

Henggang Cui, et al. ∙

∙ 11/05/2020

Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models

Object detection is a critical component of a self-driving system, taske...

Henggang Cui, et al. ∙

∙ 11/01/2020

Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization

A commonly-used representation for motion prediction of actors is a sequ...

Zhaoen Su, et al. ∙

∙ 06/03/2020

MultiNet: Multiclass Multistage Multimodal Motion Prediction

One of the critical pieces of the self-driving puzzle is understanding t...

Nemanja Djuric, et al. ∙

∙ 04/14/2020

Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization

One of the most critical pieces of the self-driving puzzle is the task o...

Eason Wang, et al. ∙

∙ 08/01/2019

Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories

Self-driving vehicles (SDVs) hold great potential for improving traffic ...

Henggang Cui, et al. ∙

∙ 06/20/2019

Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets

Following detection and tracking of traffic actors, prediction of their ...

Fang-Chieh Chou, et al. ∙

∙ 09/18/2018

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks

Autonomous driving presents one of the largest problems that the robotic...

Henggang Cui, et al. ∙

∙ 08/17/2018

Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks

Despite its ubiquity in our daily lives, AI is only just starting to mak...

Nemanja Djuric, et al. ∙

∙ 08/17/2018

Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks

Recent algorithmic improvements and hardware breakthroughs resulted in a...

Nemanja Djuric, et al. ∙

∙ 03/20/2018

MLtuner: System Support for Automatic Machine Learning Tuning

MLtuner automatically tunes settings for training tunables (such as the ...

Henggang Cui, et al. ∙