Weidong Cai
46 papers · 2013–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (76) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Pioneer
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(14)
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(10)
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Topic Evolution
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Keyword Champion
(2)
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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Prolific Year Β· Prolific
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(203)
Venues
Top co-authors
Research topics
Computer Vision
(27)
Machine Learning
(27)
Deep Learning
(21)
Analysis
(13)
Core Methods
(13)
Learning Types Β· Machine Learning
(13)
Domain-Specific
(12)
Artificial Intelligence
(11)
Core AI
(10)
Models
(10)
Learning Types Β· Deep Learning
(9)
Processing
(9)
Architectures
(8)
Application Areas
(7)
Generation
(6)
Keywords
medical imaging
(6)
point cloud
(5)
multimodal learning
(4)
vision-language model
(4)
unsupervised learning
(4)
transfer learning
(4)
knowledge distillation
(4)
instance segmentation
(3)
semi-supervised learning
(3)
3d vision
(3)
chest x-ray
(3)
contrastive learning
(3)
cross-modal learning
(3)
point cloud analysis
(2)
visual reasoning
(2)
neural network pruning
(2)
convolutional neural network
(2)
image segmentation
(2)
anomaly detection
(2)
model compression
(2)
Papers
ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays
WACV 2026
Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images
WACV 2026
Gotta Hear Them All: Towards Sound Source Aware Audio Generation
AAAI 2026
HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology
AAAI 2026
NeuroSeg Meets DINOv3: Transferring 2D Self-Supervised Visual Priors to 3D Neuron Segmentation via DINOv3 Initialization
CVPR 2026
Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding
ACL 2026
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
AAAI 2026
AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation
WACV 2025
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination
AAAI 2025
Dance Any Beat: Blending Beats with Visuals in Dance Video Generation
WACV 2025
Multimodal Causal Reasoning Benchmark: Challenging Multimodal Large Language Models to Discern Causal Links Across Modalities
ACL 2025
ORID: Organ-Regional Information Driven Framework for Radiology Report Generation
WACV 2025
VRM: Knowledge Distillation via Virtual Relation Matching
ICCV 2025
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection
WACV 2024
Complex Organ Mask Guided Radiology Report Generation
WACV 2024
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights
ECCV 2024
Device-Wise Federated Network Pruning
CVPR 2024
Enhancing Advanced Visual Reasoning Ability of Large Language Models
EMNLP 2024
PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation
AAAI 2024
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View
ECCV 2024
RWKV-CLIP: A Robust Vision-Language Representation Learner
EMNLP 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
CVPR 2024
Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis
MICCAI 2024
V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models
AAAI 2024
CelebV-Text: A Large-Scale Facial Text-Video Dataset
CVPR 2023
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration
AAAI 2023
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds
WACV 2023
Rethinking Rotation Invariance with Point Cloud Registration
AAAI 2023
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
CVPR 2023
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation
ICCV 2023
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds
IJCAI 2022
Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis
CVPR 2021
Network Pruning via Performance Maximization
CVPR 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
ICCV 2021
Shape-Oriented Convolution Neural Network for Point Cloud Analysis
AAAI 2020
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting
CVPR 2020
Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion
IJCAI 2019
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
ICCV 2017
Locally-Transferred Fisher Vectors for Texture Classification
ICCV 2017
Regularized Modal Regression with Applications in Cognitive Impairment Prediction
NeurIPS 2017
Error Analysis of Generalized NystrΓΆm Kernel Regression
NeurIPS 2016
Fusing Subcategory Probabilities for Texture Classification
CVPR 2015
Robust Saliency Detection via Regularized Random Walks Ranking
CVPR 2015
Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model
ICCV 2013
New Graph Structured Sparsity Model for Multi-label Image Annotations
ICCV 2013
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization
ICCV 2013