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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.

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+10 more ↓ 🗺️ Taxonomy Completionist (65) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🔬 Deep Specialist (12) 🏆 Keyword Champion (2) 🧭 Keyword Pioneer 🧬 Topic Evolution 🤝 Dynamic Duo (11) 💎 Century Club · Bronze 🗃️ Keyword Collector (169) 📈 Trend Setter ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze

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