Yimin Chen
13 papers · 2018–2026 · 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 ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(62)
Top co-authors
Research topics
Machine Learning
(9)
Computer Vision
(8)
Analysis
(7)
Deep Learning
(5)
Learning Types
(4)
Application Areas
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Natural Language Processing
(2)
Architectures
(2)
Core AI
(2)
Core Methods
(2)
Processing
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Keywords
weakly supervised learning
(3)
feature pyramid
(2)
convolutional neural network
(2)
depth estimation
(2)
semantic segmentation
(2)
stereo matching
(2)
weakly supervised semantic segmentation
(2)
large language model
(2)
image segmentation
(1)
causal discovery
(1)
representation learning
(1)
object detection
(1)
image retrieval
(1)
in-context learning
(1)
disparity estimation
(1)
contrastive learning
(1)
neural architecture
(1)
instance segmentation
(1)
fisher information
(1)
domain generalization
(1)
Papers
Learning from Textual Radiology Reports: A Benchmark Dataset for Coronary CT Angiography
ACL 2026
REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks
AAAI 2026
Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective
CVPR 2022
Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation
AAAI 2022
Group Fisher Pruning for Practical Network Compression
ICML 2021
Pseudo-Mask Matters in Weakly-Supervised Semantic Segmentation
ICCV 2021
Towards Impartial Multi-task Learning
ICLR 2021
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
AAAI 2020
Data-Driven Neuron Allocation for Scale Aggregation Networks
CVPR 2019
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid
ICCV 2019
Learning Segmentation Masks with the Independence Prior
AAAI 2019
Instance-level Human Parsing via Part Grouping Network
ECCV 2018
Toward Characteristic-Preserving Image-based Virtual Try-On Network
ECCV 2018