Kai Zhu
21 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11)
🌈
Renaissance Researcher
(5)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(7)
🤝
Dynamic Duo
(12)
🏆
Grand Slam
🔥
Unstoppable
(7)
💎
Century Club
(21)
📈
Trend Setter
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(104)
Conferences
CVPR (9)
IJCAI (3)
ICCV (2)
ICLR (2)
ICML (2)
NIPS (2)
AAAI (1)
Top co-authors
Research topics
Keywords
knowledge distillation
(4)
class-incremental learning
(3)
continual learning
(3)
representation learning
(3)
few-shot learning
(2)
image generation
(2)
image classification
(2)
diffusion model
(2)
uncertainty estimation
(2)
image segmentation
(2)
feature representation
(2)
non-exemplar learning
(2)
semantic segmentation
(2)
local attention
(1)
feature learning
(1)
one-shot learning
(1)
prototype learning
(1)
metric learning
(1)
hierarchical classification
(1)
scene understanding
(1)
Papers
INFP: INdustrial Video Anomaly Detection via Frequency Prioritization
IJCAI 2025
MangaNinja: Line Art Colorization with Precise Reference Following
CVPR 2025
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs
CVPR 2025
Improved Video VAE for Latent Video Diffusion Model
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
Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning
ICCV 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
ICML 2023
Neural Dependencies Emerging From Learning Massive Categories
CVPR 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
CVPR 2023
Customizable Image Synthesis with Multiple Subjects
NIPS 2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models
ICCV 2023
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification
NIPS 2022
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
CVPR 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