Tianming Qiu

According to our database, Tianming Qiu authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

2023

Scene Understanding for Autonomous Driving Using Visual Question Answering.

Adrien Wantiez, Tianming Qiu, Stefan Matthes, Hao Shen

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

SVIT: Hybrid Vision Transformer Models with Scattering Transform.

Tianming Qiu, Ming Gui, Cheng Yan, Ziqing Zhao, Hao Shen

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation.

Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy, Rayyan Ahmad Khan, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber

Proceedings of the MCFR@MM 2022: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, 2022

Laplace Approximation for Real-Time Uncertainty Estimation in Object Detection.

Ming Gui, Tianming Qiu, Fridolin Bauer, Hao Shen

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2020

Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning.

Alexander Sagel, Amit Sahu, Stefan Matthes, Holger Pfeifer, Tianming Qiu, Harald Rueß, Hao Shen, Julian Wörmann

CoRR, 2020

Metapath- and Entity-aware Graph Neural Network for Recommendation.

Zhiwei Han, Muhammad Umer Anwaar, Shyam Arumugaswamy, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber

CoRR, 2020