Shanshan Zhao

Orcid: 0000-0003-0682-8645

Affiliations:
  • JD Explore Academy, China
  • University of Sydney, UBTECH Sydney AI Centre, School of Computer Science, Faculty of Engineering, Darlington, NSW, Australia


According to our database1, Shanshan Zhao authored at least 26 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis.
CoRR, 2024

When ControlNet Meets Inexplicit Masks: A Case Study of ControlNet on its Contour-following Ability.
CoRR, 2024

SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Recent Advances for Quantum Neural Networks in Generative Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Deep Blind Image Quality Assessment Powered by Online Hard Example Mining.
IEEE Trans. Multim., 2023

Deep Corner.
Int. J. Comput. Vis., 2023

Optical Quantum Sensing for Agnostic Environments via Deep Learning.
CoRR, 2023

BEVSimDet: Simulated Multi-modal Distillation in Bird's-Eye View for Multi-view 3D Object Detection.
CoRR, 2023

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.
CoRR, 2023

Domain Re-Modulation for Few-Shot Generative Domain Adaptation.
CoRR, 2023

Domain Re-Modulation for Few-Shot Generative Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis.
CoRR, 2022

MetaComp: Learning to Adapt for Online Depth Completion.
CoRR, 2022

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis.
Proceedings of the Computer Vision - ECCV 2022, 2022

FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Adaptive Context-Aware Multi-Modal Network for Depth Completion.
IEEE Trans. Image Process., 2021

2020
Domain Generalization via Entropy Regularization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Short-Term and Long-Term Context Aggregation Network for Video Inpainting.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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