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Jingkang Wang
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Cited by
Year
Lidar-video driving dataset: Learning driving policies effectively
Y Chen*, J Wang*, J Li, C Lu, Z Luo, H Xue, C Wang
CVPR 2018, 5870-5878, 2018
1392018
Reinforcement learning with perturbed rewards
J Wang, Y Liu, B Li
AAAI 2020, 2020
1202020
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
J Wang, A Pun, J Tu, S Manivasagam, A Sadat, S Casas, M Ren, ...
CVPR 2021, 2021
1152021
UniSim: A Neural Closed-Loop Sensor Simulator
Z Yang*, Y Chen*, J Wang*, S Manivasagam*, WC Ma, AJ Yang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
682023
Adversarial attack generation empowered by min-max optimization
J Wang, T Zhang, S Liu, PY Chen, J Xu, M Fardad, B Li
Advances in Neural Information Processing Systems 34, 16020-16033, 2021
65*2021
Adversarial Attacks On Multi-Agent Communication
J Tu, T Wang, J Wang, S Manivasagam, M Ren, R Urtasun
ICCV 2021, 2021
402021
Learning to Communicate and Correct Pose Errors
N Vadivelu, M Ren, J Tu, J Wang, R Urtasun
CoRL 2020, 2020
372020
Multiple Character Embeddings for Chinese Word Segmentation
J Wang*, J Zhou*, G Liu
ACL-SRW 2019, 210-216, 2019
252019
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
J Wang, S Manivasagam, Y Chen, Z Yang, IA Bārsan, AJ Yang, WC Ma, ...
6th Annual Conference on Robot Learning, 2022
152022
Learning compact representations for lidar completion and generation
Y Xiong, WC Ma, J Wang, R Urtasun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
112023
Policy Learning Using Weak Supervision
J Wang, H Guo, Z Zhu, Y Liu
NeurIPS 2021, 2021
112021
Zero-Shot Compositional Policy Learning via Language Grounding
T Cao*, J Wang*, Y Zhang*, S Manivasagam*
ICLR BeTR-RL 2020, 2020
10*2020
On the Impact of Perceptual Compression on Deep Learning
G Friedland, J Wang, R Jia, B Li, N Mundhenk
IEEE MIPR 2020, 2018
9*2018
Reconstructing objects in-the-wild for realistic sensor simulation
Z Yang, S Manivasagam, Y Chen, J Wang, R Hu, R Urtasun
ICRA 2023, 2023
82023
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
S Segal, N Kumar, S Casas, W Zeng, M Ren, J Wang, R Urtasun
Conference on Robot Learning, 816-826, 2022
82022
Real-Time Neural Rasterization for Large Scenes
JY Liu, Y Chen, Z Yang, J Wang, S Manivasagam, R Urtasun
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
62023
Generating Motion Scenarios for Self-Driving Vehicles
J Wang, AA Pun, X Tu, M Ren, A Sadat, S Casas, S Manivasagam, ...
US Patent App. 17/528,549, 2022
52022
Systems and Methods for Training Machine-Learned Models with Deviating Intermediate Representations
X Tu, R Urtasun, T Wang, S Manivasagam, J Wang, M Ren
US Patent App. 17/151,001, 2021
52021
Towards zero domain gap: A comprehensive study of realistic lidar simulation for autonomy testing
S Manivasagam, IA Bārsan, J Wang, Z Yang, R Urtasun
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
Systems and Methods for Mitigating Vehicle Pose Error Across an Aggregated Feature Map
NB Vadivelu, M Ren, X Tu, R Urtasun, J Wang
US Patent App. 17/150,998, 2022
42022
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