Lechao Cheng
32 papers · 2018–2026 · 9 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (52) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🧬 Topic Evolution
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Research topics
Deep Learning
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Machine Learning
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Computer Vision
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Analysis
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Artificial Intelligence
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Core AI
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diffusion model
(4)
adversarial learning
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semantic segmentation
(3)
vision-language model
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object detection
(2)
semi-supervised learning
(2)
3d scene understanding
(2)
semi-supervised object detection
(2)
instance segmentation
(2)
multimodal large language model
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weakly supervised learning
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pseudo labeling
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cross-modal alignment
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pose estimation
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transfer learning
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binary classification
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image generation
(1)
contrastive learning
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action recognition
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video generation
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Papers
Open-World 3D Scene Graph Generation for Retrieval-Augmented Reasoning
AAAI 2026
Parse, Search, and Confirmation: Training-Free Aerial Vision-and-Dialog Navigation with Chain-of-Thought Reasoning and Structured Spatial Memory
CVPR 2026
ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding
CVPR 2025
DCP: Dual-Cue Pruning for Efficient Large Vision-Language Models
EMNLP 2025
Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations
CVPR 2025
FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter
EMNLP 2025
Knowledge Swapping via Learning and Unlearning
ICML 2025
Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
ICML 2025
Self-Classification Enhancement and Correction for Weakly Supervised Object Detection
IJCAI 2025
Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing
IJCAI 2025
STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification
ICML 2025
Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach
IJCAI 2025
3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing
ECCV 2024
Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
NeurIPS 2024
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding
CVPR 2024
Improving Knowledge Distillation via Regularizing Feature Direction and Norm
ECCV 2024
Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning
AAAI 2024
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
ACL 2024
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection
ECCV 2024
Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation
WACV 2024
Open-Vocabulary Video Relation Extraction
AAAI 2024
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation
AAAI 2024
Revisiting the Power of Prompt for Visual Tuning
ICML 2024
ViT-Calibrator: Decision Stream Calibration for Vision Transformer
AAAI 2024
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection
AAAI 2023
Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt
CVPR 2023
De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection
AAAI 2023
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
CVPR 2023
Boundary Knowledge Translation based Reference Semantic Segmentation
IJCAI 2021
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
AAAI 2021
Visual Boundary Knowledge Translation for Foreground Segmentation
AAAI 2021
Intrinsic Image Transformation via Scale Space Decomposition
CVPR 2018