baoxin Li
23 papers · 2013–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (8) π Academic Marathon (12) π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (53)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(9)
π
Grand Slam
π
Conference Pioneer
π
Century Club
(23)
β‘
Prolific Year
(6)
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Trend Setter
ποΈ
Keyword Collector
(98)
Conferences
WACV (7)
CVPR (6)
ECCV (2)
ICLR (2)
IJCAI (2)
AAAI (1)
ICCV (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
graph matching
(4)
feature learning
(2)
video understanding
(2)
weakly supervised learning
(2)
transformer architecture
(2)
multi-task learning
(2)
graph neural network
(2)
discrete optimization
(2)
temporal modeling
(2)
unsupervised learning
(2)
medical imaging
(2)
zero-shot learning
(2)
image retrieval
(1)
structured prediction
(1)
convex optimization
(1)
anomaly detection
(1)
metric learning
(1)
image restoration
(1)
video classification
(1)
preference learning
(1)
Papers
TFM^2: Training-Free Mask Matching for Open-Vocabulary Semantic Segmentation
WACV 2025
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-Weighted Brain MR Images
WACV 2024
Patch-Based Selection and Refinement for Early Object Detection
WACV 2024
Transformer-Based Selective Super-resolution for Efficient Image Refinement
AAAI 2024
Ordinal Classification With Distance Regularization for Robust Brain Age Prediction
WACV 2024
FELGA: Unsupervised Fragment Embedding for Fine-Grained Cross-Modal Association
WACV 2024
Graph(Graph): A Nested Graph-Based Framework for Early Accident Anticipation
WACV 2024
Generative Alignment of Posterior Probabilities for Source-Free Domain Adaptation
WACV 2023
Deep Latent Graph Matching
ICML 2021
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient
ICLR 2020
Determinant Regularization for Gradient-Efficient Graph Matching
CVPR 2020
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos
ECCV 2020
Learning deep graph matching with channel-independent embedding and Hungarian attention
ICLR 2020
Weakly Supervised Deep Image Hashing Through Tag Embeddings
CVPR 2019
Generalizing Graph Matching beyond Quadratic Assignment Model
NIPS 2018
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering
ECCV 2018
Joint Cuts and Matching of Partitions in One Graph
CVPR 2018
PPP: Joint Pointwise and Pairwise Image Label Prediction
CVPR 2016
Clustering-Based Joint Feature Selection for Semantic Attribute Prediction
IJCAI 2016
Unsupervised Sentiment Analysis for Social Media Images
IJCAI 2015
Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning
ICCV 2015
Predicting Multiple Attributes via Relative Multi-task Learning
CVPR 2014
Relative Hidden Markov Models for Evaluating Motion Skill
CVPR 2013