DAVID DOERMANN
48 papers · 2003–2026 · 14 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.
Achievements
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πΊοΈ Taxonomy Completionist (79) π Academic Marathon Β· Ultra π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(20)
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(194)
Venues
Top co-authors
Research topics
Machine Learning
(28)
Deep Learning
(25)
Computer Vision
(18)
Artificial Intelligence
(12)
Learning Types Β· Deep Learning
(12)
Optimization & Theory Β· Machine Learning
(12)
Analysis
(10)
Application Areas
(10)
Learning Types Β· Machine Learning
(10)
Core AI
(9)
Core Methods
(9)
Optimization & Theory Β· Deep Learning
(9)
Architectures
(8)
Processing
(6)
Domain-Specific
(5)
Keywords
model compression
(9)
convolutional neural network
(7)
knowledge distillation
(5)
binarized neural network
(3)
neural network optimization
(3)
federated learning
(3)
multimodal large language model
(3)
binary neural network
(2)
neural network
(2)
gradient descent
(2)
unsupervised learning
(2)
neural architecture search
(2)
neural network binarization
(2)
differentiable search
(2)
medical imaging
(2)
weakly supervised learning
(2)
instance segmentation
(2)
3d vision
(2)
image quality assessment
(2)
bilinear optimization
(2)
Papers
CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation
MIDL 2026
FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants
CVPR 2026
Textured Geometry Evaluation: Perceptual 3D Textured Shape Metric via 3D Latent-Geometry Network
AAAI 2026
DFM: Differentiable Feature Matching for Anomaly Detection
CVPR 2025
On Measuring Intrinsic Causal Attributions in Deep Neural Networks
CLeaR 2025
PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions
ICCV 2025
Text2Outfit: Controllable Outfit Generation with Multimodal Language Models
ICCV 2025
Artemis: Towards Referential Understanding in Complex Videos
NeurIPS 2024
Federated Learning via Input-Output Collaborative Distillation
AAAI 2024
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation
ECCV 2024
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement
ICML 2024
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
NeurIPS 2024
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
NeurIPS 2023
Progressive Multi-View Human Mesh Recovery with Self-Supervision
AAAI 2023
SOAR: Scene-debiasing Open-set Action Recognition
ICCV 2023
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
ICCV 2023
PREF: Predictability Regularized Neural Motion Fields
ECCV 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
AAAI 2022
Self-supervised Human Mesh Recovery with Cross-Representation Alignment
ECCV 2022
Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration
WACV 2022
Deformable Gabor Feature Networks for Biomedical Image Classification
WACV 2021
Ensemble Attention Distillation for Privacy-Preserving Federated Learning
ICCV 2021
IDARTS: Interactive Differentiable Architecture Search
ICCV 2021
Layer-Wise Searching for 1-Bit Detectors
CVPR 2021
Style Consistent Image Generation for Nuclei Instance Segmentation
WACV 2021
Uncertainty-aware Binary Neural Networks
IJCAI 2021
Anti-Bandit Neural Architecture Search for Model Defense
ECCV 2020
Binarized Neural Architecture Search
AAAI 2020
Cogradient Descent for Bilinear Optimization
CVPR 2020
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs
IJCAI 2020
NAS-Count: Counting-by-Density with Neural Architecture Search
ECCV 2020
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
AAAI 2019
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation
CVPR 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks
CVPR 2019
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
CVPR 2019
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation
CVPR 2019
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
AAAI 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
CVPR 2019
A Graphical Model Approach for Matching Partial Signatures
CVPR 2015
Active Sampling for Subjective Image Quality Assessment
CVPR 2014
Beyond Human Opinion Scores: Blind Image Quality Assessment based on Synthetic Scores
CVPR 2014
Convolutional Neural Networks for No-Reference Image Quality Assessment
CVPR 2014
Orientation Robust Text Line Detection in Natural Images
CVPR 2014
Real-Time No-Reference Image Quality Assessment Based on Filter Learning
CVPR 2013
Leveraging Statistical Transliteration for Dictionary-Based English-Bengali CLIR of OCRβd Text
COLING 2012
Cross-Language Entity Linking
IJCNLP 2011
Adaptive Transformation-Based Learning for Improving Dictionary Tagging
EACL 2006
Desparately Seeking Cebuano
NAACL 2003