Marcus Liwicki

12 papers · 2007–2025 · 8 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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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🌱 Topic Pioneer 🏆 Keyword Champion 🧭 Keyword Pioneer 🧬 Topic Evolution 📈 Trend Setter 🔥 Unstoppable · Bronze 🌈 Renaissance Researcher (6) 💎 Century Club · Bronze 🗃️ Keyword Collector (70)

Venues

SemEval (3) ECCV (2) NeurIPS (2) CVPR (1) ICLR (1) Interspeech (1) NAACL (1) WACV (1)

Top co-authors

Rajkumar Saini (4) Prakash Chandra Chhipa (3) György Kovács (3) Tosin Adewumi (2) Mubarak Shah (2) Jürgen Schmidhuber (2) Hamam Mokayed (2) Sana Al-azzawi (2) Wonmin Byeon (2) Giorgos Sfikas (1)

Research topics

Machine Learning (7) Learning Types (6) Deep Learning (5) Computer Vision (4) Architectures (4) Core Methods (4) Natural Language Processing (3) Processing (3) Interdisciplinary (2) Applications (2) Domain-Specific (2) Social (2) Healthcare & Medicine (1) Speech & Audio (1) Analysis (1)

Keywords

recurrent neural network (3) transformer model (3) long short-term memory (2) text classification (2) self-supervised learning (2) transfer learning (1) adversarial robustness (1) image segmentation (1) natural language processing (1) semi-supervised learning (1) scene understanding (1) text mining (1) sequence labeling (1) data augmentation (1) handwriting recognition (1) language modeling (1) automatic speech recognition (1) adversarial training (1) neural network optimization (1) classification (1)

Papers

ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks ICLR 2025 DiffusionPen: Towards Controlling the Style of Handwritten Text Generation ECCV 2024 Möbius Transform for Mitigating Perspective Distortions in Representation Learning ECCV 2024 Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction SemEval 2023 Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images WACV 2023 NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset SemEval 2023 ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language SemEval 2022 Pedagogical Principles in the Online Teaching of Text Mining: A Retrospection NAACL 2021 Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech Recognition Interspeech 2019 Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation NeurIPS 2015 Scene Labeling With LSTM Recurrent Neural Networks CVPR 2015 Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NeurIPS 2007