Grado en Ingeniería de Telecomunicación Alejandro López Cifuentes obtained a Degree in Telecommunications Engineering in 2015 at the Universidad Autónoma de Madrid (Spain). In 2017 he received the titles belonging to the International Joint Master Program in Image Processing and Computer Vision (IPCV) at the universities of Budapest (Hungary), Bordeaux (France) and Madrid (Spain). From 2017 to the present, he has been with the Video Processing and Understanding Lab (VPU-Lab) at the Universidad Autónoma de Madrid as a researcher. He has participated in a national project related to video surveillance and analysis of long-term video sequences (HA-Video). His lines of research are focused on multi-camera semantic categorisation for video analysis.
	Tel: 914972260
	Email: Lopez Cifuentes, Alejandro
	Web:
	Room: C-111

Recent publications

Journals

• Alejandro Lopez, Marcos Escudero, Jesús Bescós, Juan C. SanMiguel: "Attention-based Knowledge Distillation in Scene Recognition: the Impact of a DCT-driven Loss", IEEE Transactions on Circuits and Systems for Video Technology, 0 (0): , February 2023, ISSN 1051-8215 (En prensa)


• Alejandro Lopez, Marcos Escudero, Jesús Bescós, Alvaro Garcia-Martin: "Semantic-Aware Scene Recognition", Pattern Recognition, 102 (107256): , February 2020, ISSN 0031-3203 (JCR 2020 - Indice de impacto: 7.19).


• Alejandro Lopez, Marcos Escudero, Jesús Bescós: "Automatic Semantic Parsing of the Ground Plane in Scenarios Recorded With Multiple Moving Cameras", IEEE Signal Processing Letters, 25 (10): pp. 1495-1499, August 2018, ISSN 1070-9908 (JCR 2016 - Indice de impacto: 2.813).

Conferences

• Marcos Escudero, Alejandro Lopez: "CCL: Class-Wise Curriculum Learning for Class Imbalance Problems", en IEEE International Conference on Image Processing, 2022, IEEE International Conference on Image Processing, 2022, Bordeaux, 2023,


• Alejandro Lopez, Marcos Escudero: "Visualizing the Effect of Semantic Categories in the Attribution of Scene Recognition Models", en International Conference on Pattern Recognition, EXPLAINABLE DEEP LEARNING - AI Workshop, Milan, 2021,