Shanshan Zhao
24 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (7) π Academic Marathon (8) πΊοΈ Taxonomy Completionist (48)
π
Renaissance Researcher
(7)
π
Interdisciplinary Bridge
π
Cross-Pollinator
(15)
π§¬
Topic Evolution
π€
Dynamic Duo
(13)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(108)
π
Century Club
(23)
β‘
Prolific Year
(8)
Conferences
CVPR (6)
AAAI (4)
IJCAI (4)
NIPS (4)
ECCV (2)
ICCV (2)
ACL (1)
ICML (1)
Top co-authors
Research topics
Keywords
convolutional neural network
(3)
domain generalization
(3)
point cloud
(3)
image generation
(2)
multi-modal learning
(2)
domain adaptation
(2)
epipolar geometry
(2)
scene text detection
(2)
entropy regularization
(2)
domain invariance
(2)
representation learning
(2)
3d vision
(2)
diffusion model
(2)
self-supervised learning
(1)
few-shot learning
(1)
neural network security
(1)
adversarial learning
(1)
transformer architecture
(1)
risk management
(1)
document understanding
(1)
Papers
Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding
ACL 2026
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation
CVPR 2025
Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
ICML 2025
Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning
ICCV 2025
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
CVPR 2024
SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection
AAAI 2024
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility
AAAI 2024
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
CVPR 2024
Cross-Domain Facial Expression Recognition via Disentangling Identity Representation
IJCAI 2023
DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting
CVPR 2023
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
NIPS 2023
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
AAAI 2023
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation
ICCV 2023
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
NIPS 2023
Domain Re-Modulation for Few-Shot Generative Domain Adaptation
NIPS 2023
Video-Audio Domain Generalization via Confounder Disentanglement
AAAI 2023
Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting
IJCAI 2022
FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis
CVPR 2022
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis
ECCV 2022
Domain Generalization via Entropy Regularization
NIPS 2020
Short-Term and Long-Term Context Aggregation Network for Video Inpainting
ECCV 2020
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
CVPR 2019
Group-wise Deep Co-saliency Detection
IJCAI 2017
Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning
IJCAI 2017