Dong Wei
25 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (8) π Academic Marathon (5) π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (52)
πΊοΈ
Taxonomy Completionist
(52)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(12)
π§¬
Topic Evolution
π
Century Club
(24)
β‘
Prolific Year
(11)
ποΈ
Keyword Collector
(97)
π₯
Unstoppable
(6)
π
Conference Pioneer
Conferences
AAAI (8)
CVPR (7)
MICCAI (5)
ECCV (2)
ICCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
human motion prediction
(5)
brain tumor segmentation
(2)
medical image segmentation
(2)
implicit neural representation
(2)
human pose estimation
(2)
human-robot collaboration
(2)
motion forecasting
(2)
self-supervised learning
(2)
atlas-based segmentation
(2)
contrastive learning
(1)
spectral clustering
(1)
online learning
(1)
transfer learning
(1)
domain adaptation
(1)
3d reconstruction
(1)
one-shot learning
(1)
few-shot learning
(1)
multimodal learning
(1)
feature learning
(1)
representation learning
(1)
Papers
HyperSign: Saliency-Aware Spatial Graphs and Temporal Hypergraphs for Continuous Sign Language Recognition
AAAI 2026
ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency
CVPR 2025
RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
MICCAI 2025
LAL: Enhancing 3D Human Motion Prediction with Latency-aware Auxiliary Learning
CVPR 2025
Fast Adaptation for Human Pose Estimation via Meta-Optimization
CVPR 2024
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
AAAI 2024
Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis
AAAI 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction
CVPR 2024
Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation
NIPS 2024
NeRMo: Learning Implicit Neural Representations for 3D Human Motion Prediction
ECCV 2024
NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis
ICLR 2024
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
MICCAI 2024
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
MICCAI 2024
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
MICCAI 2024
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
MICCAI 2024
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
AAAI 2023
DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback
CVPR 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
AAAI 2023
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
ECCV 2022
ELSR: Efficient Line Segment Reconstruction With Planes and Points Guidance
CVPR 2022
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning
AAAI 2022
Multi-Anchor Active Domain Adaptation for Semantic Segmentation
ICCV 2021
Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective
AAAI 2021
Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning
AAAI 2021
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation
CVPR 2020