De Cheng
28 papers · 2016–2026 · 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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Research topics
Machine Learning
(23)
Deep Learning
(17)
Learning Types Β· Machine Learning
(16)
Computer Vision
(14)
Analysis
(12)
Learning Types Β· Deep Learning
(11)
Artificial Intelligence
(8)
Core Methods
(7)
Architectures
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Core AI
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Optimization & Theory
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Learning Paradigms
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Models
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Domain-Specific
(2)
Keywords
catastrophic forgetting
(7)
continual learning
(5)
knowledge distillation
(4)
incremental object detection
(4)
metric learning
(3)
prompt tuning
(3)
person re-identification
(3)
label noise learning
(2)
feature learning
(2)
visual prompt tuning
(2)
deep metric learning
(2)
object detection
(2)
vision-language model
(2)
domain generalization
(2)
orthogonal projection
(2)
domain adaptation
(2)
weakly supervised learning
(2)
diffusion model
(2)
noisy label
(2)
action recognition
(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
Incremental Object Detection via Future-Aware Decoupled Cross-Head Distillation
CVPR 2026
Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization
CVPR 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
ICML 2025
Dual Domain Control via Active Learning for Remote Sensing Domain Incremental Object Detection
ICCV 2025
Dual Information Purification for Lightweight SAR Object Detection
AAAI 2025
Gradient Decomposition and Alignment for Incremental Object Detection
ICCV 2025
Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels
IJCAI 2025
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning
AAAI 2025
Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach
ECCV 2024
Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
NeurIPS 2024
Disentangled Prompt Representation for Domain Generalization
CVPR 2024
Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification
NeurIPS 2024
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
AAAI 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
Visual Prompt Tuning in Null Space for Continual Learning
NeurIPS 2024
Boosting Weakly-Supervised Temporal Action Localization With Text Information
CVPR 2023
Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding
AAAI 2023
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization
NeurIPS 2022
Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation
CVPR 2022
Robust Region Feature Synthesizer for Zero-Shot Object Detection
CVPR 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