Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks. - Sahand Sharifzadeh; Ioannis Chiotellis; Rudolph Triebel; Daniel Cremers (CoRR, 2016)

Improving Visual Relation Detection using Depth Maps. - Sahand Sharifzadeh; Max Berrendorf; Volker Tresp (CoRR, 2019)

An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. - Martin Schmitt; Sahand Sharifzadeh; Volker Tresp; Hinrich Schütze (EMNLP (1), 2020)

Improving Visual Relation Detection using Depth Maps. - Sahand Sharifzadeh; Sina Moayed Baharlou; Max Berrendorf; Rajat Koner; Volker Tresp (ICPR, 2020)

The Tensor Brain: Semantic Decoding for Perception and Memory. - Volker Tresp; Sahand Sharifzadeh; Dario Konopatzki; Yunpu Ma (CoRR, 2020)

Classification by Attention: Scene Graph Classification with Prior Knowledge. - Sahand Sharifzadeh; Sina Moayed Baharlou; Volker Tresp (AAAI, 2021)

Improving Visual Reasoning by Exploiting The Knowledge in Texts. - Sahand Sharifzadeh; Sina Moayed Baharlou; Martin Schmitt; Hinrich Schütze; Volker Tresp (CoRR, 2021)

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. - Mehdi Ali; Max Berrendorf; Charles Tapley Hoyt; Laurent Vermue; Sahand Sharifzadeh; Volker Tresp; Jens Lehmann 001 (J. Mach. Learn. Res., 2021)

Improving Scene Graph Classification by Exploiting Knowledge from Texts. - Sahand Sharifzadeh; Sina Moayed Baharlou; Martin Schmitt; Hinrich Schütze; Volker Tresp (AAAI, 2022)

Relationformer: A Unified Framework for Image-to-Graph Generation. - Suprosanna Shit; Rajat Koner; Bastian Wittmann; Johannes C. Paetzold; Ivan Ezhov; Hongwei Li 004; Jiazhen Pan; Sahand Sharifzadeh; Georgios Kaissis; Volker Tresp; Bjoern H. Menze (ECCV (37), 2022)

PourNet: Robust Robotic Pouring Through Curriculum and Curiosity-based Reinforcement Learning. - Edwin Babaians; Tapan Sharma; Mojtaba Karimi; Sahand Sharifzadeh; Eckehard G. Steinbach (IROS, 2022)

Flamingo: a Visual Language Model for Few-Shot Learning. - Jean-Baptiste Alayrac; Jeff Donahue; Pauline Luc; Antoine Miech; Iain Barr; Yana Hasson; Karel Lenc; Arthur Mensch; Katherine Millican; Malcolm Reynolds; Roman Ring; Eliza Rutherford; et al. (NeurIPS, 2022)

Flamingo: a Visual Language Model for Few-Shot Learning. - Jean-Baptiste Alayrac; Jeff Donahue; Pauline Luc; Antoine Miech; Iain Barr; Yana Hasson; Karel Lenc; Arthur Mensch; Katie Millican; Malcolm Reynolds; Roman Ring; Eliza Rutherford; et al. (CoRR, 2022)

Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. - Mehdi Ali; Max Berrendorf; Charles Tapley Hoyt; Laurent Vermue; Mikhail Galkin 001; Sahand Sharifzadeh; Asja Fischer; Volker Tresp; Jens Lehmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

InstanceFormer: An Online Video Instance Segmentation Framework. - Rajat Koner; Tanveer Hannan; Suprosanna Shit; Sahand Sharifzadeh; Matthias Schubert; Thomas Seidl 001; Volker Tresp (AAAI, 2023)

Do DALL-E and Flamingo Understand Each Other? - Hang Li 010; Jindong Gu; Rajat Koner; Sahand Sharifzadeh; Volker Tresp (ICCV, 2023)

MemeGraphs: Linking Memes to Knowledge Graphs. - Vasiliki Kougia; Simon Fetzel; Thomas Kirchmair; Erion Çano; Sina Moayed Baharlou; Sahand Sharifzadeh; Benjamin Roth 001 (ICDAR (1), 2023)

Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays. - Yiheng Xiong; Jingsong Liu; Kamilia Zaripova; Sahand Sharifzadeh; Matthias Keicher; Nassir Navab (GRAIL/OCELOT@MICCAI, 2023)

Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning. - Hosein Hashemi; Nikolai Hartmann; Sahand Sharifzadeh; James Kahn; Thomas Kuhr (CoRR, 2023)

On the importance of symbol grounding and top-down processes in computer vision. - Sahand Sharifzadeh (2023)

The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding. - Volker Tresp; Sahand Sharifzadeh; Hang Li 010; Dario Konopatzki; Yunpu Ma (Neural Comput., 2023)

PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language Models. - Eli M. Carrami; Sahand Sharifzadeh (CoRR, 2024)

Synth2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings. - Sahand Sharifzadeh; Christos Kaplanis; Shreya Pathak; Dharshan Kumaran; Anastasija Ilic; Jovana Mitrovic; Charles Blundell; Andrea Banino (CoRR, 2024)