Guangming Lu
33 papers · 2018–2025 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (5)
🌈
Renaissance Researcher
(8)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(7)
🤝
Dynamic Duo
(12)
🧬
Topic Evolution
💎
Century Club
(33)
📈
Trend Setter
⚡
Prolific Year
(10)
🚀
Conference Pioneer
🗃️
Keyword Collector
(154)
🔥
Unstoppable
(8)
Conferences
AAAI (6)
CVPR (6)
IJCAI (6)
ECCV (4)
ICCV (3)
EMNLP (2)
ICML (2)
MICCAI (2)
ACML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
model compression
(4)
contrastive learning
(4)
convolutional neural network
(3)
prompt learning
(3)
domain adaptation
(3)
image retrieval
(2)
filter pruning
(2)
transformer architecture
(2)
few-shot learning
(2)
cross-modal retrieval
(2)
image denoising
(2)
point cloud
(2)
semantic segmentation
(2)
network pruning
(2)
transfer learning
(1)
image generation
(1)
image classification
(1)
temporal modeling
(1)
action recognition
(1)
representation learning
(1)
Papers
Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation
ICCV 2025
Med-BiasX: Robust Medical Visual Question Answering with Language Biases
MICCAI 2025
Recognition-Synergistic Scene Text Editing
CVPR 2025
Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval
CVPR 2025
D2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
ICCV 2025
Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization
AAAI 2025
ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction
AAAI 2025
Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases
IJCAI 2025
Efficient and Separate Authentication Image Steganography Network
ICML 2025
SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images
ICML 2025
WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting
ECCV 2024
SA²VP: Spatially Aligned-and-Adapted Visual Prompt
AAAI 2024
Robust 3D Tracking with Quality-Aware Shape Completion
AAAI 2024
CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning
AAAI 2024
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
CVPR 2024
UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene Representation
ECCV 2024
Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing
IJCAI 2024
QFormer: An Efficient Quaternion Transformer for Image Denoising
IJCAI 2024
Implicit Prompt Learning for Image Denoising
IJCAI 2024
Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning
MICCAI 2024
Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection
ICCV 2023
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection
ECCV 2022
Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification
CVPR 2022
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
EMNLP 2022
Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval
IJCAI 2022
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations
ECCV 2022
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing
CVPR 2021
Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction
EMNLP 2021
Pruning Filter in Filter
NIPS 2020
Filter Grafting for Deep Neural Networks
CVPR 2020
Separate Loss for Basic and Compound Facial Expression Recognition in the Wild
ACML 2019
Super Sparse Convolutional Neural Networks
AAAI 2019
AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks
IJCAI 2018