Sheng Wang

Affiliations

stanford university

papers

1,302

total citations

papers (17)

PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling

CVPR 2020arXiv

629

citations

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

ICLR 2024arXiv

191

citations

InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds Through Instance Multi-Level Contextual Referring

ICCV 2021arXiv

175

citations

MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization

ICML 2025arXiv

citations

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis

AAAI 2024arXiv

citations

Towards Accurate Active Camera Localization

ECCV 2022arXiv

citations

MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction

AAAI 2025arXiv

citations

MITracker: Multi-View Integration for Visual Object Tracking

CVPR 2025arXiv

citations

Demeter: A Parametric Model of Crop Plant Morphology from the Real World

ICCV 2025arXiv

citations

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

NEURIPS 2025arXiv

citations

Cross-Domain Contrastive Learning for Time Series Clustering

AAAI 2024

citations

Distribution-Informed Neural Networks for Domain Adaptation Regression

NEURIPS 2022

citations

Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures

NEURIPS 2022

citations

Weakly Supervised Object Localization through Inter-class Feature Similarity and Intra-Class Appearance Consistency

ECCV 2022

citations

Sheng Wang

Affiliations

papers (17)

PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds Through Instance Multi-Level Contextual Referring

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation

Shallow Feature Matters for Weakly Supervised Object Localization

Physical Property Understanding from Language-Embedded Feature Fields

MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis

Towards Accurate Active Camera Localization

MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction

MITracker: Multi-View Integration for Visual Object Tracking

Demeter: A Parametric Model of Crop Plant Morphology from the Real World

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

Cross-Domain Contrastive Learning for Time Series Clustering

Distribution-Informed Neural Networks for Domain Adaptation Regression

Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures

Weakly Supervised Object Localization through Inter-class Feature Similarity and Intra-Class Appearance Consistency

papers (17)

PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds Through Instance Multi-Level Contextual Referring

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation

Shallow Feature Matters for Weakly Supervised Object Localization

Physical Property Understanding from Language-Embedded Feature Fields

MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis

Towards Accurate Active Camera Localization

MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction

MITracker: Multi-View Integration for Visual Object Tracking

Demeter: A Parametric Model of Crop Plant Morphology from the Real World

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

Cross-Domain Contrastive Learning for Time Series Clustering

Distribution-Informed Neural Networks for Domain Adaptation Regression

Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures

Weakly Supervised Object Localization through Inter-class Feature Similarity and Intra-Class Appearance Consistency