Joachim Denzler

17 papers · 2013–2026 · 9 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (41) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🗃️ Keyword Collector (87) 📈 Trend Setter 🌈 Renaissance Researcher (5) ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze

Venues

CVPR (5) WACV (3) ICCV (2) UAI (2) AAAI (1) ECCV (1) EMNLP (1) ICLR (1) ICML (1)

Top co-authors

Erik Rodner (5) Niklas Penzel (3) Paul Bodesheim (3) Alexander Freytag (3) Aishwarya Venkataramanan (2) Tim Büchner (2) Maha Shadaydeh (2) Björn Barz (2) Sai Karthikeya Vemuri (2) Laines Schmalwasser (1)

Research topics

Machine Learning (11) Deep Learning (7) Core Methods (7) Artificial Intelligence (6) Computer Vision (5) Core AI (5) Analysis (4) Learning Types · Machine Learning (4) Learning Types · Deep Learning (3) Models (3) Optimization & Theory (3) Application Areas (2) Bayesian & Probabilistic (2) Healthcare & Medicine (1) Interdisciplinary (1)

Keywords

uncertainty quantification (2) object recognition (2) representation learning (1) adversarial learning (1) feature learning (1) concept-based explanation (1) feature extraction (1) transfer learning (1) bayesian inference (1) text classification (1) logistic regression (1) image classification (1) causal discovery (1) active learning (1) multimodal learning (1) explainable ai (1) image editing (1) cross-modal retrieval (1) category discovery (1) causal inference (1)

Papers

APIC: Amortized Physics-Informed Calibration using Neural Processes UAI 2026 F-INR: Functional Tensor Decomposition for Implicit Neural Representations WACV 2026 Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients WACV 2026 Realistic Face Reconstruction from Facial Embeddings via Diffusion Models AAAI 2026 CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series ICLR 2025 Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis CVPR 2025 FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks ICML 2025 Gradient Extrapolation for Debiased Representation Learning ICCV 2025 Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models UAI 2025 Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features EMNLP 2021 Deep Learning on Small Datasets without Pre-Training using Cosine Loss WACV 2020 Determining the Relevance of Features for Deep Neural Networks ECCV 2020 Generalized Orderless Pooling Performs Implicit Salient Matching ICCV 2017 Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances CVPR 2015 Instance-weighted Transfer Learning of Active Appearance Models CVPR 2014 Nonparametric Part Transfer for Fine-grained Recognition CVPR 2014 Kernel Null Space Methods for Novelty Detection CVPR 2013