Jianming Liang
12 papers · 2016–2025 · 7 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
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24)
π§¬
Topic Evolution
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Computer Vision
(8)
Machine Learning
(8)
Domain-Specific
(7)
Deep Learning
(6)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Core Methods
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Keywords
medical imaging
(7)
representation learning
(4)
transfer learning
(4)
self-supervised learning
(4)
object detection
(2)
convolutional neural network
(2)
foundation model
(2)
zero-shot learning
(2)
multi-task learning
(1)
knowledge distillation
(1)
adversarial learning
(1)
image segmentation
(1)
feature embedding
(1)
instance segmentation
(1)
discriminative learning
(1)
feature representation
(1)
image-to-image translation
(1)
disease detection
(1)
few-shot learning
(1)
semantic segmentation
(1)
Papers
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
WACV 2025
Foundation X: Integrating Classification Localization and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysis
WACV 2025
Learning Anatomy-Disease Entangled Representation
WACV 2025
ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-grained Appearance for CT Images
MICCAI 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
CVPR 2024
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
MIDL 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-Supervised Medical Image Analysis
CVPR 2022
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes
NeurIPS 2022
Unifying Visual Perception by Dispersible Points Learning
ECCV 2022
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
ICCV 2019
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally
CVPR 2017
Automating Carotid Intima-Media Thickness Video Interpretation With Convolutional Neural Networks
CVPR 2016