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ORCIDSahand Sharifzadeh
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2020 – today
- 2024
[i17]Eli M. Carrami, Sahand Sharifzadeh:
PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language Models. CoRR abs/2402.13653 (2024)- [i16]Sahand Sharifzadeh, Christos Kaplanis, Shreya Pathak, Dharshan Kumaran, Anastasija Ilic, Jovana Mitrovic, Charles Blundell, Andrea Banino:
Synth2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings. CoRR abs/2403.07750 (2024) - 2023
- [b1]Sahand Sharifzadeh:
On the importance of symbol grounding and top-down processes in computer vision. Ludwig Maximilian University of Munich, Germany, 2023 - [j3]Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding. Neural Comput. 35(2): 156-227 (2023) - [c11]Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. AAAI 2023: 1188-1195 - [c10]Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp:
Do DALL-E and Flamingo Understand Each Other? ICCV 2023: 1999-2010 - [c9]Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair
, Erion Çano, Sina Moayed Baharlou, Sahand Sharifzadeh, Benjamin Roth:
MemeGraphs: Linking Memes to Knowledge Graphs. ICDAR (1) 2023: 534-551 - [c8]Yiheng Xiong, Jingsong Liu, Kamilia Zaripova, Sahand Sharifzadeh, Matthias Keicher, Nassir Navab:
Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays. GRAIL/OCELOT@MICCAI 2023: 54-63 - [i15]Hosein Hashemi, Nikolai Hartmann, Sahand Sharifzadeh, James Kahn, Thomas Kuhr:
Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning. CoRR abs/2303.08046 (2023) - [i14]Yiheng Xiong, Jingsong Liu, Kamilia Zaripova, Sahand Sharifzadeh, Matthias Keicher, Nassir Navab:
Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays. CoRR abs/2303.13818 (2023) - [i13]Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair, Erion Çano, Sina Moayed Baharlou, Sahand Sharifzadeh, Benjamin Roth:
MemeGraphs: Linking Memes to Knowledge Graphs. CoRR abs/2305.18391 (2023) - 2022
- [j2]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann:
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8825-8845 (2022) - [c7]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Scene Graph Classification by Exploiting Knowledge from Texts. AAAI 2022: 2189-2197 - [c6]Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze:
Relationformer: A Unified Framework for Image-to-Graph Generation. ECCV (37) 2022: 422-439 - [c5]Edwin Babaians, Tapan Sharma, Mojtaba Karimi, Sahand Sharifzadeh, Eckehard G. Steinbach:
PourNet: Robust Robotic Pouring Through Curriculum and Curiosity-based Reinforcement Learning. IROS 2022: 9332-9339 - [c4]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:
Flamingo: a Visual Language Model for Few-Shot Learning. NeurIPS 2022 - [i12]Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze:
Relationformer: A Unified Framework for Image-to-Graph Generation. CoRR abs/2203.10202 (2022) - [i11]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:
Flamingo: a Visual Language Model for Few-Shot Learning. CoRR abs/2204.14198 (2022) - [i10]Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. CoRR abs/2208.10547 (2022) - [i9]Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp:
Do DALL-E and Flamingo Understand Each Other? CoRR abs/2212.12249 (2022) - 2021
- [j1]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann:
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. J. Mach. Learn. Res. 22: 82:1-82:6 (2021) - [c3]Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp:
Classification by Attention: Scene Graph Classification with Prior Knowledge. AAAI 2021: 5025-5033 - [i8]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Visual Reasoning by Exploiting The Knowledge in Texts. CoRR abs/2102.04760 (2021) - [i7]Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding. CoRR abs/2109.13392 (2021) - 2020
- [c2]Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schütze:
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. EMNLP (1) 2020: 7117-7130 - [c1]Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp:
Improving Visual Relation Detection using Depth Maps. ICPR 2020: 3597-3604 - [i6]Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: Semantic Decoding for Perception and Memory. CoRR abs/2001.11027 (2020) - [i5]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann:
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. CoRR abs/2006.13365 (2020) - [i4]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann:
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. CoRR abs/2007.14175 (2020) - [i3]Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp:
Classification by Attention: Scene Graph Classification with Prior Knowledge. CoRR abs/2011.10084 (2020)
2010 – 2019
- 2019
- [i2]Sahand Sharifzadeh, Max Berrendorf, Volker Tresp:
Improving Visual Relation Detection using Depth Maps. CoRR abs/1905.00966 (2019) - 2016
- [i1]Sahand Sharifzadeh, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers:
Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks. CoRR abs/1612.03653 (2016)
Coauthor Index
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last updated on 2024-10-08 20:34 CEST by the dblp team
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