Henggang Cui

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Motion Prediction

Autonomous Driving

Orientation Estimation

Grand Challenge

Top Venues

Publications

Sepideh Afshar, Nachiket Deo, Akshay Bhagat, Titas Chakraborty, Yunming Shao, Balarama Raju Buddharaju, Adwait Deshpande, Henggang Cui
PBP: Path-based Trajectory Prediction for Autonomous Driving. ICRA (2024)
Sepideh Afshar, Nachiket Deo, Akshay Bhagat, Titas Chakraborty, Yunming Shao, Balarama Raju Buddharaju, Adwait Deshpande, Henggang Cui
PBP: Path-based Trajectory Prediction for Autonomous Driving. CoRR (2023)
Titas Chakraborty, Akshay Bhagat, Henggang Cui
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss. CoRR (2022)
Christopher Hazard, Akshay Bhagat, Balarama Raju Buddharaju, Zhongtao Liu, Yunming Shao, Lu Lu, Sammy Omari, Henggang Cui
Importance is in your attention: agent importance prediction for autonomous driving. CVPR Workshops (2022)
Christopher Hazard, Akshay Bhagat, Balarama Raju Buddharaju, Zhongtao Liu, Yunming Shao, Lu Lu, Sammy Omari, Henggang Cui
Importance is in your attention: agent importance prediction for autonomous driving. CoRR (2022)
Henggang Cui, Hoda Shajari, Sai Yalamanchi, Nemanja Djuric
Ellipse Loss for Scene-Compliant Motion Prediction. ICRA (2021)
Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. IROS (2021)
Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington
MultiXNet: Multiclass Multistage Multimodal Motion Prediction. IV (2021)
Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric
Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications. ITSC (2021)
Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric
Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions. ICRA (2020)
Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington
MultiXNet: Multiclass Multistage Multimodal Motion Prediction. CoRR (2020)
Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Nemanja Djuric
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization. KDD (2020)
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. IV (2020)
Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. CoRR (2020)
Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Fang-Chieh Chou, Nemanja Djuric
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization. CoRR (2020)
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Nitin Singh, Jeff Schneider
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving. WACV (2020)
Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric
Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models. CoRR (2020)
Henggang Cui, Hoda Shajari, Sai Yalamanchi, Nemanja Djuric
Ellipse Loss for Scene-Compliant Motion Prediction. CoRR (2020)
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. CoRR (2019)
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. ICRA (2019)
Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric
Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories. CoRR (2019)
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. CoRR (2018)
Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons
MLtuner: System Support for Automatic Machine Learning Tuning. CoRR (2018)
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. CoRR (2018)
Henggang Cui, Hao Zhang, Gregory R. Ganger, Phillip B. Gibbons, Eric P. Xing
GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server. EuroSys (2016)
Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
Addressing the straggler problem for iterative convergent parallel ML. SoCC (2016)
Henggang Cui, Kimberly Keeton, Indrajit Roy, Krishnamurthy Viswanathan, Gregory R. Ganger
Using data transformations for low-latency time series analysis. SoCC (2015)
Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
Managed communication and consistency for fast data-parallel iterative analytics. SoCC (2015)
Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
Exploiting Bounded Staleness to Speed Up Big Data Analytics. USENIX Annual Technical Conference (2014)
Henggang Cui, Alexey Tumanov, Jinliang Wei, Lianghong Xu, Wei Dai, Jesse Haber-Kucharsky, Qirong Ho, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
Exploiting iterative-ness for parallel ML computations. SoCC (2014)
Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Garth A. Gibson, Gregory R. Ganger, Eric P. Xing
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server. NIPS (2013)
Dan Li, Henggang Cui, Yan Hu, Yong Xia, Xin Wang
Scalable data center multicast using multi-class Bloom Filter. ICNP (2011)