Background Subtraction with Multispectral Images Using Codebook Algorithm. - Rongrong Liu 001; Yassine Ruichek; Mohammed El Bagdouri (ACIVS, 2017)

Enhanced Codebook Model and Fusion for Object Detection with Multispectral Images. - Rongrong Liu 001; Yassine Ruichek; Mohammed El Bagdouri (ACIVS, 2018)

Extended Codebook with Multispectral Sequences for Background Subtraction. - Rongrong Liu 001; Yassine Ruichek; Mohammed El Bagdouri (Sensors, 2019)

Multispectral Dynamic Codebook and Fusion Strategy for Moving Objects Detection. - Rongrong Liu 001; Yassine Ruichek; Mohammed El Bagdouri (ICISP, 2020)

Multispectral images-based background subtraction using Codebook and deep learning approaches. (Soustraction d'arrière-plan par images multispectrales avec les méthodes Codebook et apprentissage profond). - Rongrong Liu 001 (2020)

Wearable Sensors for Spatio-Temporal Grip Force Profiling. - Rongrong Liu 001; Florent Nageotte; Philippe Zanne; Michel de Mathelin; Birgitta Dresp-Langley (CoRR, 2021)

Surgical task expertise detected by a self-organizing neural network map. - Birgitta Dresp-Langley; Rongrong Liu 001; John Mwangi Wandeto (CoRR, 2021)

Making Sense of Complex Sensor Data Streams. - Rongrong Liu 001; Birgitta Dresp-Langley (CoRR, 2021)

Multispectral background subtraction with deep learning. - Rongrong Liu 001; Yassine Ruichek; Mohammed El Bagdouri (J. Vis. Commun. Image Represent., 2021)

Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review. - Rongrong Liu 001; Florent Nageotte; Philippe Zanne; Michel de Mathelin; Birgitta Dresp-Langley (Robotics, 2021)

Spatiotemporal modeling of grip forces captures proficiency in manual robot control. - Rongrong Liu 001; John Mwangi Wandeto; Florent Nageotte; Philippe Zanne; Michel de Mathelin; Birgitta Dresp-Langley (CoRR, 2023)