Yi Jin
24 papers · 2017–2026 · 6 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
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πΊοΈ Taxonomy Completionist (67) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(10)
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(124)
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Research topics
Machine Learning
(18)
Deep Learning
(16)
Computer Vision
(13)
Learning Types Β· Machine Learning
(13)
Artificial Intelligence
(11)
Learning Types Β· Deep Learning
(10)
Application Areas
(7)
Analysis
(6)
Core AI
(5)
Learning Paradigms
(5)
Processing
(5)
Architectures
(4)
Core Methods
(4)
Models
(4)
Generation
(3)
Keywords
unsupervised domain adaptation
(4)
semantic segmentation
(4)
image restoration
(3)
self-supervised learning
(2)
domain adaptation
(2)
autonomous driving
(2)
novel view synthesis
(2)
person re-identification
(2)
3d gaussian splatting
(2)
zero-shot learning
(2)
graph matching
(2)
knowledge distillation
(2)
graph neural network
(2)
iterative optimization
(1)
semi-supervised learning
(1)
image classification
(1)
adversarial learning
(1)
representation learning
(1)
unsupervised learning
(1)
catastrophic forgetting
(1)
Papers
Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling
AAAI 2026
CoLC: Communication-Efficient Collaborative Perception with LiDAR Completion
CVPR 2026
GS^2: Graph-based Spatial Distribution Optimization for Compact 3D Gaussian Splatting
CVPR 2026
Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning
CVPR 2026
NG-GS: NeRF-guided 3D Gaussian Splatting Segmentation
CVPR 2026
TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery
CVPR 2026
HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models
ICCV 2025
Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration
CVPR 2025
Integral Fast Fourier Color Constancy
CVPR 2025
MotionClone: Training-Free Motion Cloning for Controllable Video Generation
ICLR 2025
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
NeurIPS 2024
FreeDrag: Feature Dragging for Reliable Point-based Image Editing
CVPR 2024
Masked Pre-training Enables Universal Zero-shot Denoiser
NeurIPS 2024
Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
CVPR 2024
Disentangle then Parse: Night-time Semantic Segmentation with Illumination Disentanglement
ICCV 2023
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning
AAAI 2023
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
NeurIPS 2022
Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation
CVPR 2022
GM-MLIC: Graph Matching based Multi-Label Image Classification
IJCAI 2021
Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment
AAAI 2021
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification
AAAI 2020
Learning Combinatorial Solver for Graph Matching
CVPR 2020
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition
AAAI 2019
Robust Object Tracking Based on Temporal and Spatial Deep Networks
ICCV 2017