Chipmunk: A Systolically Scalable 0.9 mm2, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference. - Francesco Conti 001; Lukas Cavigelli; Gianna Paulin; Igor Susmelj; Luca Benini (CoRR, 2017)

Chipmunk: A systolically scalable 0.9 mm2, 3.08Gop/s/mW @ 1.2 mW accelerator for near-sensor recurrent neural network inference. - Francesco Conti 001; Lukas Cavigelli; Gianna Paulin; Igor Susmelj; Luca Benini (CICC, 2018)

Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions. - Anna Volokitin; Igor Susmelj; Eirikur Agustsson; Luc Van Gool; Radu Timofte (ECCV Workshops (4), 2020)