Kai Zhu
25 papers · 2015–2026 · 7 venues · across top CS/AI venues
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Research topics
Computer Vision
(18)
Machine Learning
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Deep Learning
(13)
Core Methods
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Generation
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Processing
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Analysis
(6)
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Artificial Intelligence
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Keywords
knowledge distillation
(4)
diffusion model
(4)
class-incremental learning
(4)
few-shot learning
(3)
continual learning
(3)
representation learning
(3)
semantic segmentation
(3)
image generation
(2)
image classification
(2)
image segmentation
(2)
spatio-temporal feature
(2)
non-exemplar learning
(2)
image restoration
(2)
feature representation
(2)
uncertainty estimation
(2)
local attention
(1)
feature learning
(1)
one-shot learning
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scene understanding
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metric learning
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Papers
Dual-level Adapter Boosting Prompt-free Curvilinear Structure Segmentation
CVPR 2026
RS-SSM: Refining Forgotten Specifics in State Space Model for Video Semantic Segmentation
CVPR 2026
SimRecon: SimReady Compositional Scene Reconstruction from Real Videos
CVPR 2026
Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Training
CVPR 2026
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs
CVPR 2025
Improved Video VAE for Latent Video Diffusion Model
CVPR 2025
INFP: INdustrial Video Anomaly Detection via Frequency Prioritization
IJCAI 2025
MangaNinja: Line Art Colorization with Precise Reference Following
CVPR 2025
CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models
ICML 2024
DreamClean: Restoring Clean Image Using Deep Diffusion Prior
ICLR 2024
HomoFormer: Homogenized Transformer for Image Shadow Removal
CVPR 2024
Hypercorrelation Evolution for Video Class-Incremental Learning
AAAI 2024
Lipschitz Singularities in Diffusion Models
ICLR 2024
Cones: Concept Neurons in Diffusion Models for Customized Generation
ICML 2023
Customizable Image Synthesis with Multiple Subjects
NeurIPS 2023
Neural Dependencies Emerging From Learning Massive Categories
CVPR 2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models
ICCV 2023
Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning
ICCV 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
CVPR 2023
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
CVPR 2022
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification
NeurIPS 2022
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
CVPR 2021
Self-Supervised Tuning for Few-Shot Segmentation
IJCAI 2020
One-Shot Texture Retrieval with Global Context Metric
IJCAI 2019
Recognize Complex Events From Static Images by Fusing Deep Channels
CVPR 2015