Image Coding For Machines: an End-To-End Learned Approach. - Nam Le 003; Honglei Zhang; Francesco Cricri; Ramin Ghaznavi Youvalari; Esa Rahtu (ICASSP, 2021)

Learned Image Coding for Machines: A Content-Adaptive Approach. - Nam Le 003; Honglei Zhang; Francesco Cricri; Ramin Ghaznavi Youvalari; Hamed Rezazadegan Tavakoli; Esa Rahtu (ICME, 2021)

Learned Enhancement Filters for Image Coding for Machines. - Jukka I. Ahonen; Ramin Ghaznavi Youvalari; Nam Le 003; Honglei Zhang; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 2021)

Enhancing Image Coding for Machines with Compressed Feature Residuals. - Joni Seppälä; Honglei Zhang; Nam Le 003; Ramin Ghaznavi Youvalari; Francesco Cricri; Hamed Rezazadegan Tavakoli; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (ISM, 2021)

Bridging the Gap Between Image Coding for Machines and Humans. - Nam Le 003; Honglei Zhang; Francesco Cricri; Ramin Ghaznavi Youvalari; Hamed Rezazadegan Tavakoli; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (ICIP, 2022)

Stabilizing the Convolution Operations for Neural Network-Based Image and Video Codecs for Machines. - Honglei Zhang; Nam Le 003; Francesco Cricri; Jukka I. Ahonen; Hamed Rezazadegan Tavakoli (ICME Workshops, 2023)

NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang; Antti Hallapuro; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 2023)

Region of Interest Enabled Learned Image Coding for Machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang; Francesco Cricri; Esa Rahtu (MMSP, 2023)

Competitive Learning For Achieving Content-Specific Filters In Video Coding For Machines. - Honglei Zhang; Jukka I. Ahonen; Nam Le 003; Ruiying Yang; Francesco Cricri (ICIP, 2024)

NN-VVC: A Hybrid Learned-Conventional Video Codec Targeting Humans and Machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang; Antti Hallapuro; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (Int. J. Semantic Comput., 2024)