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De Cheng

27 papers · 2016–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ πŸƒ Academic Marathon (9) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (9)
πŸ—ΊοΈ Taxonomy Completionist (48) πŸŒ‰ Interdisciplinary Bridge 🀝 Dynamic Duo (15) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (25) πŸ—ƒοΈ Keyword Collector (110)

Conferences

AAAI (6) CVPR (6) ICCV (4) IJCAI (4) NIPS (4) ICML (2) ECCV (1)

Top co-authors

Nannan Wang (16) Xinbo Gao (12) Shizhou Zhang (6) Yinghui Xing (6) Yanning Zhang (5) Peng Wang (4) Dongsheng Li (3) Xi Yang (3) Dingwen Zhang (3) Tongliang Liu (3)

Keywords

catastrophic forgetting (4) continual learning (3) person re-identification (3) prompt tuning (3) metric learning (3) knowledge distillation (3) label-noise learning (2) domain generalization (2) feature learning (2) weakly supervised learning (2) noisy label (2) deep metric learning (2) incremental object detection (2) domain adaptation (2) orthogonal projection (2) vision-language model (2) object detection (2) visual prompt tuning (2) graph laplacian (1) semantic segmentation (1)

Papers

Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection AAAI 2026 Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning AAAI 2026 Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization CVPR 2025 Dual Information Purification for Lightweight SAR Object Detection AAAI 2025 Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning AAAI 2025 Gradient Decomposition and Alignment for Incremental Object Detection ICCV 2025 Dual Domain Control via Active Learning for Remote Sensing Domain Incremental Object Detection ICCV 2025 Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector ICML 2025 Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels IJCAI 2025 Visual Prompt Tuning in Null Space for Continual Learning NIPS 2024 Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection NIPS 2024 Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification NIPS 2024 Disentangled Prompt Representation for Domain Generalization CVPR 2024 Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search IJCAI 2024 Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning ICML 2024 Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach ECCV 2024 Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models AAAI 2024 Boosting Weakly-Supervised Temporal Action Localization With Text Information CVPR 2023 Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding AAAI 2023 Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation CVPR 2022 Robust Region Feature Synthesizer for Zero-Shot Object Detection CVPR 2022 Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization NIPS 2022 Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction IJCAI 2022 Support-Set Based Cross-Supervision for Video Grounding ICCV 2021 Complex Event Detection by Identifying Reliable Shots From Untrimmed Videos ICCV 2017 Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification IJCAI 2017 Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss Function CVPR 2016