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2020 – today
- 2024
[c19]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: 12927-12934- 2023
- [i13]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 abs/2309.03750 (2023) - 2022
- [c18]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: 2531-2534 - [i12]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 abs/2204.09121 (2022) - [i11]Titas Chakraborty, Akshay Bhagat, Henggang Cui:
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss. CoRR abs/2211.00149 (2022) - 2021
- [c17]Henggang Cui, Hoda Shajari, Sai Yalamanchi, Nemanja Djuric:
Ellipse Loss for Scene-Compliant Motion Prediction. ICRA 2021: 8558-8564 - [c16]Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley:
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. IROS 2021: 3837-3843 - [c15]Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric:
Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications. ITSC 2021: 2660-2666 - [c14]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: 435-442 - 2020
- [c13]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: 10563-10569 - [c12]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: 1655-1662 - [c11]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: 2340-2348 - [c10]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: 2084-2093 - [i10]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 abs/2004.06247 (2020) - [i9]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 abs/2006.02000 (2020) - [i8]Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley:
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. CoRR abs/2011.00399 (2020) - [i7]Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric:
Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models. CoRR abs/2011.03114 (2020) - [i6]Henggang Cui, Hoda Shajari, Sai Yalamanchi, Nemanja Djuric:
Ellipse Loss for Scene-Compliant Motion Prediction. CoRR abs/2011.03139 (2020)
2010 – 2019
- 2019
- [c9]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: 2090-2096 - [i5]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 abs/1906.08469 (2019) - [i4]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 abs/1908.00219 (2019) - 2018
- [i3]Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons:
MLtuner: System Support for Automatic Machine Learning Tuning. CoRR abs/1803.07445 (2018) - [i2]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 abs/1808.05819 (2018) - [i1]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 abs/1809.10732 (2018) - 2017
- [b1]Henggang Cui:
Exploiting Application Characteristics for Efficient System Support of Data-Parallel Machine Learning. Carnegie Mellon University, USA, 2017 - 2016
- [c8]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: 98-111 - [c7]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: 4:1-4:16 - 2015
- [c6]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: 381-394 - [c5]Henggang Cui, Kimberly Keeton
, Indrajit Roy, Krishnamurthy Viswanathan, Gregory R. Ganger:
Using data transformations for low-latency time series analysis. SoCC 2015: 395-407 - 2014
- [c4]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: 5:1-5:14 - [c3]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 ATC 2014: 37-48 - 2013
- [c2]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: 1223-1231 - 2011
- [c1]Dan Li, Henggang Cui, Yan Hu, Yong Xia, Xin Wang:
Scalable data center multicast using multi-class Bloom Filter. ICNP 2011: 266-275
Coauthor Index
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