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Stefan Wermter

25 papers · 2002–2026 · 13 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (23) πŸ—ΊοΈ Taxonomy Completionist (51) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (13) 🀝 Dynamic Duo (12) 🧬 Topic Evolution πŸ’Ž Century Club (24) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (123) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (9)

Conferences

INTERSPEECH (4) IJCAI (3) WACV (3) AAAI (2) COLING (2) EACL (2) EMNLP (2) ICML (2) CLEAR (1) ICCV (1) ICLR (1) IJCNLP (1) SEMEVAL (1)

Top co-authors

Cornelius Weber (12) Jae Hee Lee (6) Mengdi Li (5) Sven Magg (5) Egor Lakomkin (4) Kyra Ahrens (3) Tobias Hinz (3) Xufeng Zhao (3) Zhiyuan Liu (2) Chandrakant Bothe (2)

Research topics

Analysis (1)

Keywords

representation learning (4) commonsense knowledge (2) data augmentation (2) distant supervision (2) large language model (2) multimodal learning (2) face recognition (2) emotion recognition (2) affective computing (2) recurrent neural network (2) bidirectional recurrent neural network (2) transfer learning (2) zero-shot learning (2) speaker recognition (2) multi-task learning (2) attention mechanism (2) pose estimation (1) ensemble learning (1) statistical inference (1) semi-supervised learning (1)

Papers

Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities EACL 2026
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion WACV 2025
Causal State Distillation for Explainable Reinforcement Learning CLEAR 2024
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic COLING 2024
Visually Grounded Commonsense Knowledge Acquisition AAAI 2023
Visually Grounded Continual Language Learning with Selective Specialization EMNLP 2023
Internally Rewarded Reinforcement Learning ICML 2023
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing WACV 2022
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning IJCAI 2022
Improved Techniques for Training Single-Image GANs WACV 2021
GASP: Gated Attention for Saliency Prediction IJCAI 2021
Visual Distant Supervision for Scene Graph Generation ICCV 2021
Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks AAAI 2020
Multimodal Target Speech Separation with Voice and Face References INTERSPEECH 2020
A Personalized Affective Memory Model for Improving Emotion Recognition ICML 2019
MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues SEMEVAL 2019
Generating Multiple Objects at Spatially Distinct Locations ICLR 2019
Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics INTERSPEECH 2019
LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading INTERSPEECH 2019
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos EMNLP 2018
Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks INTERSPEECH 2018
Reusing Neural Speech Representations for Auditory Emotion Recognition IJCNLP 2017
Automatically augmenting an emotion dataset improves classification using audio EACL 2017
Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data IJCAI 2013
Selforganizing Classification on the Reuters News Corpus COLING 2002