Articole cu mandate pentru acces public - Zhijian LiuAflați mai multe
Disponibile undeva: 17
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Z Liu*, H Tang*, A Amini, X Yang, H Mao, DL Rus, S Han
IEEE International Conference on Robotics and Automation (ICRA), 2023
Mandate: US National Science Foundation
Differentiable Augmentation for Data-Efficient GAN Training
S Zhao, Z Liu, J Lin, JY Zhu, S Han
Conference on Neural Information Processing Systems (NeurIPS), 2020
Mandate: US National Science Foundation
GAN Compression: Efficient Architectures for Interactive Conditional GANs
M Li, J Lin, Y Ding, Z Liu, JY Zhu, S Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Mandate: US National Science Foundation
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
T Wang, K Wang, H Cai, J Lin, Z Liu, H Wang, Y Lin, S Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Mandate: US National Science Foundation
Point Transformer V3: Simpler, Faster, Stronger
X Wu, L Jiang, PS Wang, Z Liu, X Liu, Y Qiao, W Ouyang, T He, H Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Mandate: National Natural Science Foundation of China
TorchSparse: Efficient Point Cloud Inference Engine
H Tang*, Z Liu*, X Li*, Y Lin, S Han
Conference on Machine Learning and Systems (MLSys), 2022
Mandate: US National Science Foundation
VISTA 2.0: An Open, Data-Driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
A Amini*, TH Wang*, I Gilitschenski, W Schwarting, Z Liu, S Han, ...
IEEE International Conference on Robotics and Automation (ICRA), 2022
Mandate: US National Science Foundation
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
Z Liu*, X Yang*, H Tang, S Yang, S Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Mandate: US National Science Foundation
Efficient and Robust LiDAR-Based End-to-End Navigation
Z Liu*, A Amini*, S Zhu, S Karaman, S Han, DL Rus
International Conference on Robotics and Automation (ICRA), 2021
Mandate: US National Science Foundation
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
X Chen*, Z Liu*, H Tang, L Yi, H Zhao, S Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Mandate: US National Science Foundation
Learning to Exploit Stability for 3D Scene Parsing
Y Du, Z Liu, H Basevi, A Leonardis, B Freeman, J Tenenbaum, J Wu
Conference on Neural Information Processing Systems (NeurIPS), 2018
Mandate: US National Science Foundation, US Department of Defense, UK Engineering and …
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
Z Liu*, H Tang*, S Zhao, K Shao, S Han
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mandate: US National Science Foundation
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs
H Tang*, S Yang*, Z Liu, K Hong, Z Yu, X Li, G Dai, Y Wang, S Han
International Symposium on Microarchitecture (MICRO), 2023
Mandate: US National Science Foundation
Physical Primitive Decomposition
Z Liu, WT Freeman, JB Tenenbaum, J Wu
European Conference on Computer Vision (ECCV), 2018
Mandate: US National Science Foundation, US Department of Defense
SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss
Z Liu*, H Tang*, S Zhu*, S Han
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Mandate: US National Science Foundation
Hardware-Centric AutoML for Mixed-Precision Quantization
K Wang*, Z Liu*, Y Lin*, J Lin, S Han
International Journal of Computer Vision (IJCV), 2020
Mandate: US National Science Foundation
Sparse Refinement for Efficient High-Resolution Semantic Segmentation
Z Liu*, Z Zhang*, S Yang, H Tang, C Xu, K Keutzer, S Han
European Conference on Computer Vision (ECCV), 2024
Mandate: US National Science Foundation
Informațiile despre publicații și finanțare sunt alese automat de un program informatic