Alireza Ghasemi, Laurent Rime and Martin Vetterli: Method and Apparatus for Identifying Local Features. US Patent 9,613,256, Granted April 2017.
Martin Vetterli, Alireza Ghasemi and Adam James Scholefield: Point and Sensor Estimation from Images. US Patent Application 15/275,973, Filed September 2016.
Alireza Ghasemi, Laurent Rime, Martin Vetterli, Distinguishing Real Scenes from Printed Photos Using a Light-Field Camera. US-61898739, Provisional Patent Filed November 2013.
Adam James Scholefield, Alireza Ghasemi and Martin Vetterli: Bound and Conquer: Improving Triangulation by Enforcing Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. Early Access September 2019.
Alireza Ghasemi, Adam James Scholefield and Martin Vetterli: SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay. IEEE ICASSP 2016, Shanghai, China.
Alireza Ghasemi, Adam James Scholefield and Martin Vetterli: On the Accuracy of Point Localisation in a Circular Camera-Array. IEEE ICIP 2015, Quebec City, Canada. (Chosen in the top 10% papers)
Alireza Ghasemi and Martin Vetterli: Detecting Planar Surface Using a Light-Field Camera with Application to Distinguishing Real Scenes From Printed Photos. IEEE ICASSP 2014, Florence, Italy.
Alireza Ghasemi, Mahdad Hosseini Kamal and Martin Vetterli: Computationally Efficient Background Subtraction in the Light Field Domain. IS&T/SPIE Electronic Imaging 2014, San Francisco, USA.
Alireza Ghasemi, Nelly Afonso and Martin Vetterli: LCAV-31: A Dataset for Light Field Object Recognition. IS&T/SPIE Electronic Imaging 2014, San Francisco, USA.
Alireza Ghasemi and Martin Vetterli: Scale-Invariant Representation of Light Field Images for Object Recognition and Tracking. IS&T/SPIE Electronic Imaging 2014, San Francisco, USA.
Claudiu Cristian Musat, Alireza Ghasemi, Boi Faltings: Sentiment Analysis Using a Novel Human Computation Game. ACL 2012 People’s Web Meets NLP Workshop, Jeju, South Korea.
Alireza Ghasemi, Hamid R. Rabiee, Mohammad T. Manzuri, Mohammad H. Rohban: A Bayesian Approach to the Data Description Problem. AAAI Twenty-Sixth Conference on Artificial Intelligence (AAAI-12), Toronto, Canada.
Amirhossein Tavanaei, Alireza Ghasemi, Mohammad Tavanaei, Hossein Sameti, Mohammad T. Manzuri: Support Vector Data Description for Spoken Digit Recognition. International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2012), Algarve, Portugal.
Alireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad T. Manzuri, Mohammad H. Rohban: Active Learning from Positive and Unlabeled Data. IEEE ICDM 2011 Workshop on Optimization Based Methods for Emerging Data Mining Problems (OEDM’11), Vancouver, Canada.
Alireza Ghasemi, Mohammad T. Manzuri, Hamid R. Rabiee, Mohammad H. Rohban, Siavash Haghiri: Active One-Class Learning by Kernel Density Estimation. IEEE International Workshop on Machine Learning for Signal Processing (MLSP’11), Beijing, China.
Alireza Ghasemi: Feature Identification and Tracking in the Plenoptic Space, Candidacy Report for the Doctoral Program in Computer and Communication Systems, Under Supervision of Prof. Martin Vetterli, Summer 2012.
Alireza Ghasemi: Content-Based Image Retrieval Using Relevance Feedback and Semi-Supervised Learning, M. Sc.
Thesis, Under Supervision of Dr. Mohammad Taghi Manzuri, Summer 2011.
Alireza Ghasemi: A Survey on Website Classification Methods with Introduction to a New Method Based on Internal
PageRanks, B.Sc. Thesis, Under Supervision of Dr. Hassan Abolhassani, Summer 2009.