Kun Hu
30 papers · 2020–2026 · 9 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.
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Research topics
Deep Learning
(20)
Computer Vision
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Machine Learning
(17)
Analysis
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Architectures
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Core Methods
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Artificial Intelligence
(6)
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Generation
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Learning Types Β· Machine Learning
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Learning Types Β· Deep Learning
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Processing
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Keywords
diffusion model
(3)
attention mechanism
(3)
motion synthesis
(3)
contrastive learning
(2)
semantic segmentation
(2)
self-supervised learning
(2)
point cloud
(2)
sign language translation
(2)
graph neural network
(2)
frequency decomposition
(2)
reinforcement learning
(1)
image generation
(1)
domain adaptation
(1)
policy gradient
(1)
vision transformer
(1)
transformer architecture
(1)
sample efficiency
(1)
optimal transport
(1)
image segmentation
(1)
3d reconstruction
(1)
Papers
BoostSLT: Boosting Sign Language Translation via a Plug-and-Play Diffusion-Based Semantic Enhancer
CVPR 2026
CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation
AAAI 2026
DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting
AAAI 2026
ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment
AAAI 2026
F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation
CVPR 2026
Pb4U-GNet: Resolution-Adaptive Garment Simulation via Propagation-before-Update Graph Network
AAAI 2026
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
CVPR 2026
RebRL: Reinforcing Discrete Visual Diffusion Models with Rebalanced Timestep Credits
CVPR 2026
TWINFUZZ: Dual-Model Fuzzing for Robustness Generalization in Deep Learning
AAAI 2026
Unstitching the Chimera: Frame-Level Risk and Train-Free Mitigation for Video Hallucination
CVPR 2026
B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens
ICCV 2025
DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
AAAI 2025
PUMPS: Skeleton-Agnostic Point-based Universal Motion Pre-Training for Synthesis in Human Motion Tasks
ICCV 2025
Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning
ICML 2025
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
AAAI 2025
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture
IJCAI 2025
Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation
AAAI 2024
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging
ECCV 2024
Motion Keyframe Interpolation for Any Human Skeleton using Point Cloud-based Human Motion Data Homogenisation
ECCV 2024
Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking
AAAI 2024
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation
AAAI 2024
Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance
AAAI 2024
Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation
CVPR 2023
ICD-Face: Intra-class Compactness Distillation for Face Recognition
ICCV 2023
Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase
AAAI 2023
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms
Interspeech 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
IJCAI 2023
OTExtSum: Extractive Text Summarisation with Optimal Transport
NAACL 2022
Sign Language Translation With Hierarchical Spatio-Temporal Graph Neural Network
WACV 2022
Speaker-Aware Monaural Speech Separation
Interspeech 2020