Zizhang Wu
Orcid: 0000-0002-2169-8271
According to our database1,
Zizhang Wu
authored at least 33 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Appl. Intell., November, 2024
Graph-Segmenter: graph transformer with boundary-aware attention for semantic segmentation.
Frontiers Comput. Sci., October, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Eng. Appl. Artif. Intell., November, 2023
IEEE Internet Things J., July, 2023
Appl. Intell., July, 2023
Int. J. Mach. Learn. Cybern., May, 2023
CAT: Learning to collaborate channel and spatial attention from multi-information fusion.
IET Comput. Vis., April, 2023
Surround-View Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-Insensitive Multi-Task Framework.
IEEE Trans. Intell. Veh., March, 2023
CoRR, 2023
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention.
CoRR, 2023
V2Depth: Monocular Depth Estimation via Feature-Level Virtual-View Simulation and Refinement.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation.
Proceedings of the Conference on Robot Learning, 2023
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Detecting owner-member relationship in fisheye camera system with graph convolution network.
Pattern Recognit. Lett., 2022
Constructing infinite deep neural networks with flexible expressiveness while training.
Neurocomputing, 2022
Detecting Owner-member Relationship with Graph Convolution Network in Fisheye Camera System.
CoRR, 2022
Monocular Fisheye Depth Estimation for Automated Valet Parking: Dataset, Baseline and Deep Optimizers.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
L4Net: An anchor-free generic object detector with attention mechanism for autonomous driving.
IET Comput. Vis., 2021
CoRR, 2021
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
DeepWORD: A GCN-Based Approach for Owner-Member Relationship Detection in Autonomous Driving.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2011
Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, 2011