Dong Ni
25 papers · 2021–2025 · 8 venues · across top CS/AI venues
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Research topics
Computer Vision
(9)
Machine Learning
(8)
Deep Learning
(7)
Analysis
(5)
Artificial Intelligence
(4)
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(4)
Domain-Specific
(4)
Learning Types Β· Machine Learning
(4)
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Learning Types Β· Deep Learning
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Core Methods
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Keywords
medical image segmentation
(3)
domain generalization
(2)
graph neural network
(2)
group activity recognition
(2)
human-object interaction
(2)
object detection
(2)
self-supervised learning
(2)
multi-task learning
(1)
vision transformer
(1)
zero-shot learning
(1)
scene understanding
(1)
hierarchical learning
(1)
transfer learning
(1)
video generation
(1)
test-time adaptation
(1)
image segmentation
(1)
3d vision
(1)
multimodal learning
(1)
temporal modeling
(1)
medical imaging
(1)
Papers
Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound
MICCAI 2025
ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis
MICCAI 2025
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
AAAI 2025
EchoONE: Segmenting Multiple Echocardiography Planes in One Model
CVPR 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
MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
MICCAI 2025
MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
MICCAI 2025
SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images
ICCV 2025
Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound
MICCAI 2025
UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
MICCAI 2025
Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound
MICCAI 2025
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
From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
WACV 2024
HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models
MICCAI 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
RLIPv2: Fast Scaling of Relational Language-Image Pre-Training
ICCV 2023
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics
AAAI 2022
Generalizable Cross-Modality Medical Image Segmentation via Style Augmentation and Dual Normalization
CVPR 2022
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
NeurIPS 2022
Learning Visual Context for Group Activity Recognition
AAAI 2021
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
ICCV 2021