Yi Shan
16 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (36)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Century Club
(14)
ποΈ
Keyword Collector
(69)
Conferences
CVPR (6)
AAAI (3)
ECCV (2)
ICCV (2)
ACL (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
autonomous driving
(4)
semantic segmentation
(3)
contrastive learning
(2)
object detection
(2)
optimal transport
(1)
image segmentation
(1)
representation learning
(1)
unsupervised domain adaptation
(1)
scene understanding
(1)
domain adaptation
(1)
trajectory prediction
(1)
attention mechanism
(1)
vision transformer
(1)
point cloud
(1)
image classification
(1)
feature embedding
(1)
person re-identification
(1)
human pose estimation
(1)
model quantization
(1)
model compression
(1)
Papers
SILO-BENCH: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems
ACL 2026
Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion
AAAI 2026
GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
IJCAI 2025
Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection
CVPR 2025
Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank
ICML 2025
Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection
ECCV 2024
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling
CVPR 2024
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
CVPR 2022
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving
AAAI 2022
Dynamic Sparse R-CNN
CVPR 2022
Improving Low-Precision Network Quantization via Bin Regularization
ICCV 2021
RankDetNet: Delving Into Ranking Constraints for Object Detection
CVPR 2021
Towards Discriminative Representation Learning for Unsupervised Person Re-Identification
ICCV 2021
ProgressFace: Scale-Aware Progressive Learning for Face Detection
ECCV 2020
Dual Super-Resolution Learning for Semantic Segmentation
CVPR 2020
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks
AAAI 2020