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DAVID DOERMANN

47 papers · 2003–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (7) πŸƒ Academic Marathon (22) 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (75)
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) MIDL (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

CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation MIDL 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 IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation ECCV 2024 Artemis: Towards Referential Understanding in Complex Videos NIPS 2024 Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation NIPS 2024 Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement ICML 2024 Federated Learning via Input-Output Collaborative Distillation AAAI 2024 Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning ICCV 2023 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 Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration WACV 2022 PREF: Predictability Regularized Neural Motion Fields ECCV 2022 Self-supervised Human Mesh Recovery with Cross-Representation Alignment ECCV 2022 Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation AAAI 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 NAS-Count: Counting-by-Density with Neural Architecture Search ECCV 2020 Anti-Bandit Neural Architecture Search for Model Defense ECCV 2020 CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs IJCAI 2020 Cogradient Descent for Bilinear Optimization CVPR 2020 Learning Instance Activation Maps for Weakly Supervised Instance Segmentation CVPR 2019 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 Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019 Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression CVPR 2019 Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks CVPR 2019 A Graphical Model Approach for Matching Partial Signatures CVPR 2015 Beyond Human Opinion Scores: Blind Image Quality Assessment based on Synthetic Scores CVPR 2014 Orientation Robust Text Line Detection in Natural Images CVPR 2014 Convolutional Neural Networks for No-Reference Image Quality Assessment CVPR 2014 Active Sampling for Subjective 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