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Xiaopeng Hong

37 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (6) πŸ—ΊοΈ Taxonomy Completionist (66)
πŸ—ΊοΈ Taxonomy Completionist (66) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (11) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (157) πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ’Ž Century Club (35)

Conferences

AAAI (15) CVPR (7) ICCV (6) ECCV (4) IJCAI (3) NIPS (1) WACV (1)

Papers

2D Gaussians Spatial Transport for Point-supervised Density Regression AAAI 2026 Time Series Forecasting via Direct Per-Step Probability Distribution Modeling AAAI 2026 T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting CVPR 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 ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing AAAI 2025 Specifying What You Know or Not for Multi-Label Class-Incremental Learning AAAI 2025 Free Lunch Enhancements for Multi-modal Crowd Counting CVPR 2025 OpenSDI: Spotting Diffusion-Generated Images in the Open World CVPR 2025 Gramformer: Learning Crowd Counting via Graph-Modulated Transformer AAAI 2024 GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection ECCV 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 One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object AAAI 2023 A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials WACV 2023 Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference AAAI 2023 IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution IJCAI 2022 Boosting Crowd Counting via Multifaceted Attention CVPR 2022 S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning NIPS 2022 Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting AAAI 2021 Few-Shot Class-Incremental Learning via Relation Knowledge Distillation AAAI 2021 Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models ICCV 2021 Towards a Universal Model for Cross-Dataset Crowd Counting ICCV 2021 Image-to-Image Translation via Hierarchical Style Disentanglement CVPR 2021 Learning to Count via Unbalanced Optimal Transport AAAI 2021 Direct Measure Matching for Crowd Counting IJCAI 2021 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 Topology-Preserving Class-Incremental Learning ECCV 2020 Noise-Aware Fully Webly Supervised Object Detection CVPR 2020 Bi-Objective Continual Learning: Learning β€˜New’ While Consolidating β€˜Known’ AAAI 2020 Few-Shot Class-Incremental Learning CVPR 2020 Universal Perturbation Attack Against Image Retrieval ICCV 2019 Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection ICCV 2019 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