← Authors

DAVID DOERMANN

46 papers · 2003–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (22) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (75) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (20) πŸš€ Conference Pioneer πŸ’Ž Century Club (45) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (166)

Conferences

CVPR (14) AAAI (7) ICCV (6) ECCV (5) NIPS (3) WACV (3) IJCAI (2) CLEAR (1) COLING (1) EACL (1) ICML (1) IJCNLP (1) NAACL (1)

Top co-authors

Baochang Zhang (20) Xuan Gong (12) Junsong Yuan (9) Rongrong Ji (6) Yuanhao Zhai (6) Ziyan Wu (6) Jianzhuang Liu (5) Qixiang Ye (5) Terrence Chen (5) Peng Ye (4)

Research topics

Privacy (1)

Keywords

model compression (9) convolutional neural network (7) knowledge distillation (4) neural network optimization (3) federated learning (3) binarized neural network (3) neural network (2) neural network binarization (2) bilinear optimization (2) gradient descent (2) unsupervised learning (2) neural architecture search (2) differentiable search (2) binary neural network (2) medical imaging (2) weakly supervised learning (2) instance segmentation (2) 3d vision (2) image quality assessment (2) image restoration (1)

Papers

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
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 NIPS 2024
Federated Learning via Input-Output Collaborative Distillation AAAI 2024
Artemis: Towards Referential Understanding in Complex Videos NIPS 2024
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training NIPS 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
Self-supervised Human Mesh Recovery with Cross-Representation Alignment ECCV 2022
PREF: Predictability Regularized Neural Motion Fields ECCV 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation AAAI 2022
Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration WACV 2022
Layer-Wise Searching for 1-Bit Detectors CVPR 2021
Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021
IDARTS: Interactive Differentiable Architecture Search ICCV 2021
Uncertainty-aware Binary Neural Networks IJCAI 2021
Deformable Gabor Feature Networks for Biomedical Image Classification WACV 2021
Style Consistent Image Generation for Nuclei Instance Segmentation WACV 2021
Binarized Neural Architecture Search AAAI 2020
Cogradient Descent for Bilinear Optimization CVPR 2020
Anti-Bandit Neural Architecture Search for Model Defense ECCV 2020
NAS-Count: Counting-by-Density with Neural Architecture Search ECCV 2020
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs IJCAI 2020
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation CVPR 2019
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation AAAI 2019
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression CVPR 2019
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation CVPR 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks CVPR 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019
A Graphical Model Approach for Matching Partial Signatures CVPR 2015
Orientation Robust Text Line Detection in Natural Images CVPR 2014
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
Real-Time No-Reference Image Quality Assessment Based on Filter Learning CVPR 2013
Leveraging Statistical Transliteration for Dictionary-Based English-Bengali CLIR of OCRβ€˜d Text COLING 2012
Cross-Language Entity Linking IJCNLP 2011
Adaptive Transformation-Based Learning for Improving Dictionary Tagging EACL 2006
Desparately Seeking Cebuano NAACL 2003