Dong Ni
25 papers · 2021–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (29) π Conference Polyglot (8) π Renaissance Researcher (5) π§ Keyword Pioneer
π
Conference Polyglot
(8)
πΊοΈ
Taxonomy Completionist
(29)
π₯
Mega-Team
(25)
π
Grand Slam
π€
Dynamic Duo
(11)
π₯
Unstoppable
(5)
π
Century Club
(25)
ποΈ
Keyword Collector
(61)
π
Conference Pioneer
β‘
Prolific Year
(7)
Conferences
MICCAI (12)
AAAI (3)
CVPR (3)
ICCV (3)
ICLR (1)
ICML (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
medical image segmentation
(3)
domain generalization
(2)
group activity recognition
(2)
object detection
(2)
self-supervised learning
(2)
graph neural network
(2)
temporal modeling
(1)
few-shot learning
(1)
semantic segmentation
(1)
hierarchical learning
(1)
scene understanding
(1)
video generation
(1)
multi-task learning
(1)
medical imaging
(1)
test-time adaptation
(1)
transfer learning
(1)
3d vision
(1)
human-object interaction
(1)
scene graph generation
(1)
multimodal learning
(1)
Papers
Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound
MICCAI 2025
Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound
MICCAI 2025
EchoONE: Segmenting Multiple Echocardiography Planes in One Model
CVPR 2025
Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound
MICCAI 2025
ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis
MICCAI 2025
Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
MICCAI 2025
Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound
MICCAI 2025
MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
MICCAI 2025
MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
MICCAI 2025
SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images
ICCV 2025
UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
MICCAI 2025
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
AAAI 2025
From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
WACV 2024
InstructVideo: Instructing Video Diffusion Models with Human Feedback
CVPR 2024
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
ICLR 2024
PAPM: A Physics-aware Proxy Model for Process Systems
ICML 2024
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation
MICCAI 2024
Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction
MICCAI 2024
HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models
MICCAI 2024
RLIPv2: Fast Scaling of Relational Language-Image Pre-Training
ICCV 2023
Generalizable Cross-Modality Medical Image Segmentation via Style Augmentation and Dual Normalization
CVPR 2022
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics
AAAI 2022
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
NIPS 2022
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
ICCV 2021
Learning Visual Context for Group Activity Recognition
AAAI 2021