Shanshan Zhao

papers

507

total citations

papers (15)

UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather

CVPR 2024arXiv

citations

ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding

NEURIPS 2023arXiv

citations

Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation

ICCV 2023arXiv

citations

Domain Re-Modulation for Few-Shot Generative Domain Adaptation

NEURIPS 2023arXiv

citations

SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection

AAAI 2024arXiv

citations

All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation

NEURIPS 2023arXiv

citations

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

CVPR 2024arXiv

citations

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation

CVPR 2025arXiv

citations

Strategic A/B testing via Maximum Probability-driven Two-armed Bandit

ICML 2025arXiv

citations

Domain Generalization via Entropy Regularization

NEURIPS 2020

citations

Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning

ICCV 2025arXiv

citations

Shanshan Zhao

papers (15)

FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis

DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

Short-Term and Long-Term Context Aggregation Network for Video Inpainting

UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather

ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding

Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation

Domain Re-Modulation for Few-Shot Generative Domain Adaptation

SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection

All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation

Strategic A/B testing via Maximum Probability-driven Two-armed Bandit

Domain Generalization via Entropy Regularization

Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning

papers (15)

FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis

DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

Short-Term and Long-Term Context Aggregation Network for Video Inpainting

UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather

ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding

Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation

Domain Re-Modulation for Few-Shot Generative Domain Adaptation

SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection

All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation

Strategic A/B testing via Maximum Probability-driven Two-armed Bandit

Domain Generalization via Entropy Regularization

Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning