Taha Alhersh


B6, 26, Room C 2.06

Phone: +49 621 181 

Email : taha (at) informatik.uni-mannheim.de

Research group:  Artificial Intelligence


Research Interests

  • Machine Learning
  • Computer Vision
  • Activity Recognition



Conference Items

  • Alhersh, T., Belhaouari, S. and Stuckenschmidt, H. (2020). Metrics performance analysis of optical flow. In Braz, J., VISIGRAPP 2020 : proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Feb 27, 2020 - Feb 29, 2020, Valetta, Malta (S. 749-758). , SCITEPRESS - Science and Technology Publications: Setúbal.
  • Alhersh, T., Brahim Belhaouari, S. and Stuckenschmidt, H. (2019). Action recognition using local visual descriptors and inertial data. In Chatzigiannakis, I., Ambient Intelligence : 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings (S. 123-138). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Alhersh, T. and Stuckenschmidt, H. (2019). On the combination of IMU and optical flow for action recognition. In , 2019 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) : 11-15 March 2019 in Kyoto, Japan (S. 17-21). , IEEE: Piscataway, NJ.
  • Alhersh, T. and Stuckenschmidt, H. (2019). Unsupervised fine-tuning of optical flow for better motion boundary estimation. In Tremeau, A., Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : February 25-27, 2019, in Prague, Czech Republic ; Volume 5: VISAPP (S. 776-783). , SciTePress: Setúbal, Portugal.
  • Alhersh, T., Samir, B. B., Al-Absi, H. R. H., Alorainy, A. and Bouzid, B. (2016). Species identification using part of DNA sequence: Evidence from machine learning algorithms. In Suzuki, J., BICT 2015, Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS), New York City, United States, December 3-5, 2015 (S. 490-494). , ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering): Brussels.
  • Al-Absi, H. R. H., Samir, B. B., Alhersh, T. and Sulaiman, S. (2013). On the combination of wavelet and curvelet for feature extraction to classify lung cancer on chest radiographs. In Sunagawa, K., 35th annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013) : Osaka, Japan, 3 - 7 July 2013 (S. 3674-3677). , IEEE: Piscataway, NJ.