Publications

SPAD: Spatially Aware Multi-View Diffusers

Yash Kant, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Rıza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, Aliaksandr Siarohin — CVPR, 2024

Project PDF (CVPR) arXiv

MeshPose: Unifying DensePose and 3D Body Mesh Reconstruction

Eric-Tuan Lê, Antonis Kakolyris, Petros Koutras, Himmy Tam, Efstratios Skordos, George Papandreou, Rıza Alp Güler, Iasonas Kokkinos — CVPR, 2024

Project PDF (CVPR) arXiv

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis

Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Rıza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski — SIGGRAPH Asia, 2023

Project DOI arXiv

Invertible Neural Skinning

Yash Kant, Aliaksandr Siarohin, Rıza Alp Güler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski — CVPR, 2023

Project arXiv CVPR Poster

Context-self contrastive pretraining for crop type semantic segmentation

Michail Tarasiou, Rıza Alp Güler, Stefanos Zafeiriou — IEEE Transactions on Geoscience and Remote Sensing, 2022

arXiv PDF Code

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild (Oral)

Dominik Kulon, Rıza Alp Güler, Iasonas Kokkinos, Michael Bronstein, Stefanos Zafeiriou — CVPR, 2020

PDF (CVPR) arXiv

BLSM: A Bone-Level Skinned Model of the Human Mesh (Spotlight)

Haoyang Wang, Rıza Alp Güler, Iasonas Kokkinos, George Papandreou, Stefanos Zafeiriou — ECCV, 2020

PDF (UCL) DOI

HoloPose: Holistic 3D Human Reconstruction In-The-Wild (Oral)

Rıza Alp Güler, Iasonas Kokkinos — CVPR, 2019

Video PDF (CVPR) CVF page

Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep NRSfM

Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Rıza Alp Güler, Dimitris Samaras, Iasonas Kokkinos — ICCV Workshops (GMDL), 2019

PDF (CVF) arXiv

Single Image 3D Hand Reconstruction with Mesh Convolutions

Dominik Kulon, Haoyang Wang, Rıza Alp Güler, Michael Bronstein, Stefanos Zafeiriou — BMVC, 2019

arXiv

Two Stream Pose Transfer Guided by Dense Pose Estimation

Natalia Neverova, Rıza Alp Güler, Iasonas Kokkinos — ECCV, 2018

CVF page PDF

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

Zhixin Shu, Mihir Sahasrabudhe, Rıza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos — ECCV, 2018

PDF Code

Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues (Oral)

N. Neverova, J. Thewlis, Rıza Alp Güler, I. Kokkinos, A. Vedaldi — CVPR, 2018

arXiv PDF (Oxford)

DensePose: Dense Human Pose Estimation In-the-Wild (Oral)

Rıza Alp Güler, Natalia Neverova, Iasonas Kokkinos — CVPR, 2018

densepose.org Code arXiv

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild

Rıza Alp Güler, George Trigeorgis, Epameinondas Antonakos, Patrick Snape, Stefanos Zafeiriou, Iasonas Kokkinos — CVPR, 2017

PDF (CVPR) arXiv

Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation

Stefan Kinauer*, Rıza Alp Güler*, Siddhartha Chandra, Iasonas Kokkinos — EMMCVPR, 2017

UCL record

Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision

Rıza Alp Güler, Nikolaos Kardaris, Siddhartha Chandra, Vassilis Pitsikalis, Christian Werner, Klaus Hauer, Costas Tzafestas, Petros Maragos, Iasonas Kokkinos — ECCV Workshops (ACVR), 2016

Springer record ResearchGate

Shape Deformation Measures for White Matter Fibers

Rıza Alp Güler, Devran Uğurlu, Zeynep Fırat, Uğur Türe, Gözde Ünal — IEEE Signal Processing and Communications Applications Conference (SIU), 2016

DOI IEEE Xplore

Landmarks Inside the Shape: Shape Matching using Image Descriptors

Rıza Alp Güler, Sibel Tari, Gözde Unal — Pattern Recognition, 2016 · 49: 79–88

DOI Publisher

A Scalable Fluctuating Distance Field: An Application to Tumor Shape Analysis

Rıza Alp Güler, Andaç Hamamcı, Gözde Unal — Research in Shape Modelling (Springer Series), 2015

DOI Springer

Screened Poisson Hyperfields for Shape Coding

Rıza Alp Güler, Sibel Tari, Gözde Unal — SIAM Journal on Imaging Sciences, 2014 · 7(4): 2558–2590

DOI PDF