Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data. - Petar Velickovic; Laurynas Karazija; Nicholas D. Lane; Sourav Bhattacharya; Edgar Liberis; Pietro Liò; Angela Chieh; Otmane Bellahsen; Matthieu Vegreville (CoRR, 2017)

Automatic Inference of Cross-Modal Connection Topologies for X-CNNs. - Laurynas Karazija; Petar Velickovic; Pietro Liò (ISNN, 2018)

Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data. - Petar Velickovic; Laurynas Karazija; Nicholas D. Lane; Sourav Bhattacharya; Edgar Liberis; Pietro Liò; Angela Chieh; Otmane Bellahsen; Matthieu Vegreville (PervasiveHealth, 2018)

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. - Laurynas Karazija; Iro Laina; Christian Rupprecht 001 (NeurIPS Datasets and Benchmarks, 2021)

Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. - Subhabrata Choudhury; Laurynas Karazija; Iro Laina; Andrea Vedaldi; Christian Rupprecht 001 (BMVC, 2022)

Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns. - Laurynas Karazija; Subhabrata Choudhury; Iro Laina; Christian Rupprecht 001; Andrea Vedaldi (NeurIPS, 2022)

Diffusion Models for Zero-Shot Open-Vocabulary Segmentation. - Laurynas Karazija; Iro Laina; Andrea Vedaldi; Christian Rupprecht 001 (CoRR, 2023)

Diffusion Models for Open-Vocabulary Segmentation. - Laurynas Karazija; Iro Laina; Andrea Vedaldi; Christian Rupprecht 001 (ECCV (5), 2024)

Learning Segmentation from Point Trajectories. - Laurynas Karazija; Iro Laina; Christian Rupprecht 001; Andrea Vedaldi (NeurIPS, 2024)