Sahand Sharifzadeh

According to our database, Sahand Sharifzadeh authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language Models.

Eli M. Carrami, Sahand Sharifzadeh

CoRR, 2024

2023

The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding.

Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma

Neural Comput., February, 2023

On the importance of symbol grounding and top-down processes in computer vision.

Sahand Sharifzadeh

PhD thesis, 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

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

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

MemeGraphs: Linking Memes to Knowledge Graphs.

Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair, Erion Çano, Sina Moayed Baharlou, Sahand Sharifzadeh, Benjamin Roth

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Do DALL-E and Flamingo Understand Each Other?

Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

InstanceFormer: An Online Video Instance Segmentation Framework.

Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann

IEEE Trans. Pattern Anal. Mach. Intell., 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, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan

CoRR, 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, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L. Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PourNet: Robust Robotic Pouring Through Curriculum and Curiosity-based Reinforcement Learning.

Edwin Babaians, Tapan Sharma, Mojtaba Karimi, Sahand Sharifzadeh, Eckehard G. Steinbach

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Relationformer: A Unified Framework for Image-to-Graph Generation.

Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze

Proceedings of the Computer Vision - ECCV 2022, 2022

Improving Scene Graph Classification by Exploiting Knowledge from Texts.

Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

J. Mach. Learn. Res., 2021

Improving Visual Reasoning by Exploiting The Knowledge in Texts.

Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp

CoRR, 2021

Classification by Attention: Scene Graph Classification with Prior Knowledge.

Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Tensor Brain: Semantic Decoding for Perception and Memory.

Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, Yunpu Ma

CoRR, 2020

Improving Visual Relation Detection using Depth Maps.

Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp

Proceedings of the 25th International Conference on Pattern Recognition, 2020

An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing.

Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schütze

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Improving Visual Relation Detection using Depth Maps.

Sahand Sharifzadeh, Max Berrendorf, Volker Tresp

CoRR, 2019

2016

Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks.

Sahand Sharifzadeh, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers

CoRR, 2016