Shanshan Zhao

Greetings! I am Shanshan Zhao (Chinese: 赵杉杉). I obtained my PhD degree at The University of Sydney (USYD, from July 2018), under the supervision of Prof. Dacheng Tao and co-supervision of A/Prof. Mingming Gong. Before that, I received my master's degree from College of Computer Science and Technology, Zhejiang University in 2017 (supervised by Prof. Xi Li), and bachelor's degree in Network Engineering (Outstanding Engineer Plan) from Xidian University in 2014. I ever worked as a Researcher in JD Explore Academy, and I also ever worked in HUAWEI (Hangzhou) Research Institute.

Email  /  Google Scholar  /  Github

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Research

I'm interested in: computer vision (2D image understanding), deep learning (domain adaptation/generalization), 3D vision (point cloud, depth), and AIGC (text-to-image, diffusion model). Currently, I mainly focus on 3D vision perception/understanding and controllable text-to-image generation/editing.

Below are some of my reserach papers. Full paper list can be found in my Google Scholar page.
† indicates (co-)supervised student/intern; ‡ indicates (co-)corresponding author; * indicates equal contribution.

Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis

IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2024
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather

IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2024
SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection

AAAI Conference on Artificial Intelligence, AAAI, 2024
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding

Advances in Neural Information Processing Systems, Neurips, 2023
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation

Advances in Neural Information Processing Systems, Neurips, 2023
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation

IEEE/CVF International Conference in Computer Vision, ICCV, 2023
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation

ACM International Conference on Multimedia, ACM MM, 2023
Deep Corner

International Journal of Computer Vision, IJCV, 2023
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting

IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2023
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

European Conference on Computer Vision, ECCV, 2022
Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting

International Joint Conference on Artificial Intelligence, IJCAI, 2022
Adaptive context-aware multi-modal network for depth completion

IEEE Transactions on Image Processing, TIP, 2021
Domain Generalization via Entropy Regularization

Advances in Neural Information Processing Systems, Neurips, 2020
Short-Term and Long-Term Context Aggregation Network for Video Inpainting

European Conference on Computer Vision, ECCV, 2020 (Spotlight, 5%)
End-to-End Video Saliency Detection via A Deep Contextual Spatiotemporal Network

IEEE Transactions on Neural Networks and Learning Systems, TNNLS, 2020
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation

IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2019
Deep Group-wise Fully Convolutional Network for Co-saliency Detection with Graph Propagation

IEEE Transactions on Image Processing, TIP, 2019
Group-wise Deep Co-saliency Detection

International Joint Conference on Artificial Intelligence, IJCAI, 2017
Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning

International Joint Conference on Artificial Intelligence, IJCAI, 2017

Professional Services

PC Member of IEEE Conference on Computer Vision and Pattern Recognition, CVPR
PC Member of IEEE International Conference in Computer Vision, ICCV
PC Member of European Conference on Computer Vision, ECCV
PC Member of Advances in Neural Information Processing Systems, Neurips
PC Member of International Conference on Machine Learning, ICML
PC Member of International Conference on Learning Representations, ICLR
PC Member of AAAI Conference on Artificial Intelligence, AAAI
PC Member of International Conference on Robotics and Automation, ICRA
PC Member of International Joint Conference on Artificial Intelligence, IJCAI
PC Member of Conference on Uncertainty in Artificial Intelligence, UAI
Invited Reviewer for International Journal of Computer Vision, IJCV
Invited Reviewer for IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI
Invited Reviewer for IEEE Transactions on Image Processing, TIP
Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering, TKDE
Invited Reviewer for IEEE Transactions on Multimedia, TMM
Invited Reviewer for IEEE Transactions on Circuits and Systems for Video Technology, TCSVT
Invited Reviewer for Neurocomputing
Invited Reviewer for Multimedia Systems
Invited Reviewer for IEEE Signal Processing Letters, SPL
Invited Reviewer for ACM Computing Surveys