Ling-Yu Duan
30 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Academic Marathon (10) π Interdisciplinary Bridge π Conference Polyglot (6) π Renaissance Researcher (7)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(65)
π§
Keyword Pioneer
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
β‘
Prolific Year
(5)
π
Century Club
(30)
π
Trend Setter
ποΈ
Keyword Collector
(132)
π₯
Unstoppable
(11)
β
The Questioner
Conferences
CVPR (12)
ICCV (9)
ECCV (3)
IJCAI (3)
NIPS (2)
AAAI (1)
Top co-authors
Research topics
Keywords
convolutional neural network
(5)
image restoration
(4)
metric learning
(4)
reflection removal
(4)
person re-identification
(4)
neural network
(3)
feature learning
(3)
domain adaptation
(3)
domain generalization
(2)
feature alignment
(2)
skeleton sequence
(2)
model selection
(2)
representation learning
(2)
transfer learning
(2)
computer vision
(2)
non-iid datum
(2)
image processing
(2)
federated learning
(2)
knowledge distillation
(2)
single image
(2)
Papers
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts
ICCV 2025
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
NIPS 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
NIPS 2024
LEAD: Exploring Logit Space Evolution for Model Selection
CVPR 2024
Switchable Representation Learning Framework With Self-Compatibility
CVPR 2023
Exploring Model Transferability through the Lens of Potential Energy
ICCV 2023
Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-training
ECCV 2022
Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
CVPR 2022
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
AAAI 2022
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment
ICCV 2021
Person30K: A Dual-Meta Generalization Network for Person Re-Identification
CVPR 2021
Single Image Reflection Removal With Absorption Effect
CVPR 2021
Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts
CVPR 2021
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
ICCV 2021
Disentangled Feature Learning Network for Vehicle Re-Identification
IJCAI 2020
Reflection Scene Separation From a Single Image
CVPR 2020
What Does Plate Glass Reveal About Camera Calibration?
CVPR 2020
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
ECCV 2020
FHDeΒ²Net: Full High Definition Demoireing Network
ECCV 2020
Learning to Jointly Generate and Separate Reflections
ICCV 2019
Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization
ICCV 2019
SPLINE-Net: Sparse Photometric Stereo Through Lighting Interpolation and Normal Estimation Networks
ICCV 2019
Mop Moire Patterns Using MopNet
ICCV 2019
SSNet: Scale Selection Network for Online 3D Action Prediction
CVPR 2018
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network
CVPR 2018
Global Context-Aware Attention LSTM Networks for 3D Action Recognition
CVPR 2017
Benchmarking Single-Image Reflection Removal Algorithms
ICCV 2017
To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes
IJCAI 2016
Hamming Compatible Quantization for Hashing
IJCAI 2015