Xiaopeng Hong
39 papers · 2019–2026 · 7 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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🗺️ Taxonomy Completionist (65) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Deep Specialist
(12)
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
🧬
Topic Evolution
🤝
Dynamic Duo
(11)
💎
Century Club · Bronze
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Keyword Collector
(169)
📈
Trend Setter
⚡
Prolific Year · Productive
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Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(27)
Computer Vision
(22)
Deep Learning
(22)
Analysis
(18)
Learning Types · Machine Learning
(17)
Learning Types · Deep Learning
(17)
Artificial Intelligence
(14)
Core Methods
(13)
Learning Paradigms
(8)
Application Areas
(7)
Core AI
(6)
Architectures
(5)
Models
(3)
Optimization & Theory
(3)
Processing
(3)
Keywords
crowd counting
(9)
catastrophic forgetting
(9)
continual learning
(8)
class-incremental learning
(4)
density estimation
(4)
incremental learning
(3)
self-supervised learning
(3)
few-shot learning
(3)
vision transformer
(2)
diffusion model
(2)
point supervision
(2)
person re-identification
(2)
multimodal learning
(2)
adversarial example
(2)
knowledge distillation
(2)
cross-modal learning
(2)
object detection
(2)
optimal transport
(2)
attention mechanism
(2)
density regression
(2)
Papers
2D Gaussians Spatial Transport for Point-supervised Density Regression
AAAI 2026
Cluster-Wise Spatio-Temporal Masking for Efficient Video-Language Pretraining
CVPR 2026
Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging
CVPR 2026
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling
AAAI 2026
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing
AAAI 2025
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
AAAI 2025
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization
AAAI 2025
Free Lunch Enhancements for Multi-modal Crowd Counting
CVPR 2025
OpenSDI: Spotting Diffusion-Generated Images in the Open World
CVPR 2025
Specifying What You Know or Not for Multi-Label Class-Incremental Learning
AAAI 2025
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
CVPR 2025
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection
ECCV 2024
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
AAAI 2024
Multi-modal Crowd Counting via a Broker Modality
ECCV 2024
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation
ECCV 2024
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
WACV 2023
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
AAAI 2023
One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object
AAAI 2023
Boosting Crowd Counting via Multifaceted Attention
CVPR 2022
IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution
IJCAI 2022
S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning
NeurIPS 2022
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models
ICCV 2021
Direct Measure Matching for Crowd Counting
IJCAI 2021
Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting
AAAI 2021
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
AAAI 2021
Image-to-Image Translation via Hierarchical Style Disentanglement
CVPR 2021
Learning to Count via Unbalanced Optimal Transport
AAAI 2021
Towards a Universal Model for Cross-Dataset Crowd Counting
ICCV 2021
Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’
AAAI 2020
Few-Shot Class-Incremental Learning
CVPR 2020
Infrared-Visible Cross-Modal Person Re-Identification with an X Modality
AAAI 2020
Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching
AAAI 2020
Noise-Aware Fully Webly Supervised Object Detection
CVPR 2020
Topology-Preserving Class-Incremental Learning
ECCV 2020
A Part Power Set Model for Scale-Free Person Retrieval
IJCAI 2019
Bayesian Loss for Crowd Count Estimation With Point Supervision
ICCV 2019
Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement
ICCV 2019
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection
ICCV 2019
Universal Perturbation Attack Against Image Retrieval
ICCV 2019