13 papers
Age-Inclusive 3D Human Mesh Recovery for Action-Preserving Data Anonymization
Georgios Chatzichristodoulou, Niki Efthymiou, Panagiotis Filntisis +2
While three-dimensional (3D) shape and pose estimation is a highly researched area that has yielded significant advances, the resulting methods, despite performing well for the adu…
Baby Sophia: A Developmental Approach to Self-Exploration through Self-Touch and Hand Regard
Stelios Zarifis, Ioannis Chalkiadakis, Artemis Chardouveli +7
Inspired by infant development, we propose a Reinforcement Learning (RL) framework for autonomous self-exploration in a robotic agent, Baby Sophia, using the BabyBench simulation e…
CVSM: Contrastive Vocal Similarity Modeling
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
The availability of large, unlabeled datasets across various domains has contributed to the development of a plethora of methods that learn representations for multiple target (dow…
Instance-Level Composed Image Retrieval
Bill Psomas, George Retsinas, Nikos Efthymiadis +5
The progress of composed image retrieval (CIR), a popular research direction in image retrieval, where a combined visual and textual query is used, is held back by the absence of h…
Shared-Weights Extender and Gradient Voting for Neural Network Expansion
Nikolas Chatzis, Ioannis Kordonis, Manos Theodosis +1
Expanding neural networks during training is a promising way to augment capacity without retraining larger models from scratch. However, newly added neurons often fail to adjust to…
Classical Guitar Duet Separation using GuitarDuets -- a Dataset of Real and Synthesized Guitar Recordings
Marios Glytsos, Christos Garoufis, Athanasia Zlatintsi +1
Recent advancements in music source separation (MSS) have focused in the multi-timbral case, with existing architectures tailored for the separation of distinct instruments, overlo…