14 papers
Registration-Free Learnable Multi-View Capture of Faces in Dense Semantic Correspondence
Panagiotis P. Filntisis, George Retsinas, Radek DanÄÄek +3
Recent frameworks like ToFu and TEMPEH provide an automated alternative to classical registration pipelines by predicting 3D meshes in dense semantic correspondence directly from c…
Mind the Shape Gap: A Benchmark and Baseline for Deformation-Aware 6D Pose Estimation of Agricultural Produce
Nikolas Chatzis, Angeliki Tsinouka, Katerina Papadimitriou +7
Accurate 6D pose estimation for robotic harvesting is fundamentally hindered by the biological deformability and high intra-class shape variability of agricultural produce. Instanc…
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…
Sparse Computations in Deep Learning Inference
Ioanna Tasou, Panagiotis Mpakos, Angelos Vlachos +25
The computational demands of modern Deep Neural Networks (DNNs) are immense and constantly growing. While training costs usually capture public attention, inference demands are als…
Are Euler angles a useful rotation parameterisation for pose estimation with Normalizing Flows?
Giorgos Sfikas, Konstantina Nikolaidou, Foteini Papadopoulou +2
Object pose estimation is a task that is of central importance in 3D Computer Vision. Given a target image and a canonical pose, a single point estimate may very often be sufficien…
Optimal Transport for Handwritten Text Recognition in a Low-Resource Regime
Petros Georgoulas Wraight, Giorgos Sfikas, Ioannis Kordonis +2
Handwritten Text Recognition (HTR) is a task of central importance in the field of document image understanding. State-of-the-art methods for HTR require the use of extensive annot…