Ping Hu
32 papers · 2017–2026 · 9 venues · across top CS/AI venues
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Research topics
Computer Vision
(20)
Deep Learning
(19)
Machine Learning
(16)
Analysis
(16)
Artificial Intelligence
(12)
Core AI
(9)
Learning Types Β· Deep Learning
(9)
Architectures
(8)
Learning Types Β· Machine Learning
(8)
Application Areas
(7)
Processing
(7)
Core Methods
(6)
Learning Paradigms
(4)
Generation
(3)
Models
(3)
Keywords
semantic segmentation
(6)
vision-language model
(4)
zero-shot learning
(4)
representation learning
(4)
domain generalization
(3)
attention mechanism
(3)
feature extraction
(3)
graph neural network
(3)
domain adaptation
(3)
attention module
(2)
long short-term memory
(2)
adverse weather
(2)
biometric authentication
(2)
few-shot learning
(2)
prompt learning
(2)
optical flow
(2)
self-supervised learning
(2)
video frame interpolation
(2)
point cloud
(2)
diffusion model
(2)
Papers
Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models
AAAI 2026
Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis
AAAI 2026
Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation
CVPR 2026
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
AAAI 2025
Boundary Probing for Input Privacy Protection When Using LMM Services
ICCV 2025
GIIM: A Graph Information Integration Method for Chinese-Kazakh CLIR
ACML 2025
JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems
CVPR 2025
Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning
IJCAI 2025
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather
CVPR 2025
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
CVPR 2024
Exploring the Role of Node Diversity in Directed Graph Representation Learning
IJCAI 2024
Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation
ECCV 2024
Koala: Key Frame-Conditioned Long Video-LLM
CVPR 2024
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
ICLR 2024
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation
IJCAI 2024
Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation
ICCV 2023
GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning
ICCV 2023
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition
NeurIPS 2023
Splatting-Based Synthesis for Video Frame Interpolation
WACV 2023
Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training
CVPR 2023
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
NeurIPS 2022
Learning to Detect Every Thing in an Open World
ECCV 2022
Many-to-Many Splatting for Efficient Video Frame Interpolation
CVPR 2022
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
CVPR 2022
Static-Dynamic Interaction Networks for Offline Signature Verification
AAAI 2021
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation
WACV 2020
Temporally Distributed Networks for Fast Video Semantic Segmentation
CVPR 2020
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
NeurIPS 2020
Inverse Discriminative Networks for Handwritten Signature Verification
CVPR 2019
Motion-Guided Cascaded Refinement Network for Video Object Segmentation
CVPR 2018
Deep Level Sets for Salient Object Detection
CVPR 2017
Global Context-Aware Attention LSTM Networks for 3D Action Recognition
CVPR 2017