Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. - Menelaos Kanakis; David Brüggemann; Suman Saha 001; Stamatios Georgoulis; Anton Obukhov; Luc Van Gool (ECCV (20), 2020)

T-Basis: a Compact Representation for Neural Networks. - Anton Obukhov; Maxim V. Rakhuba; Stamatios Georgoulis; Menelaos Kanakis; Dengxin Dai; Luc Van Gool (ICML, 2020)

Spectral Tensor Train Parameterization of Deep Learning Layers. - Anton Obukhov; Maxim V. Rakhuba; Alexander Liniger; Zhiwu Huang; Stamatios Georgoulis; Dengxin Dai; Luc Van Gool (AISTATS, 2021)

Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. - Suman Saha 001; Anton Obukhov; Danda Pani Paudel; Menelaos Kanakis; Yuhua Chen; Stamatios Georgoulis; Luc Van Gool (CVPR, 2021)

Exploring Relational Context for Multi-Task Dense Prediction. - David Brüggemann; Menelaos Kanakis; Anton Obukhov; Stamatios Georgoulis; Luc Van Gool (ICCV, 2021)

Pix2NeRF: Unsupervised Conditional $ pi$-GAN for Single Image to Neural Radiance Fields Translation. - Shengqu Cai; Anton Obukhov; Dengxin Dai; Luc Van Gool (CVPR, 2022)

Towards Practical Control of Singular Values of Convolutional Layers. - Alexandra Senderovich; Ekaterina Bulatova; Anton Obukhov; Maxim V. Rakhuba (NeurIPS, 2022)

Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. - Shengqu Cai; Anton Obukhov; Dengxin Dai; Luc Van Gool (CoRR, 2022)

DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models. - Shengqu Cai; Eric Ryan Chan; Songyou Peng; Mohamad Shahbazi; Anton Obukhov; Luc Van Gool; Gordon Wetzstein (CoRR, 2022)

Tensor Decompositions in Deep Learning. - Anton Obukhov (2022)

Breathing New Life into 3D Assets with Generative Repainting. - Tianfu Wang 006; Menelaos Kanakis; Konrad Schindler; Luc Van Gool; Anton Obukhov (BMVC, 2023)

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. - Suman Saha 001; Lukas Hoyer; Anton Obukhov; Dengxin Dai; Luc Van Gool (ICCV, 2023)

DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. - Shengqu Cai; Eric Ryan Chan; Songyou Peng; Mohamad Shahbazi; Anton Obukhov; Luc Van Gool; Gordon Wetzstein (ICCV, 2023)

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation. - Bingxin Ke; Anton Obukhov; Shengyu Huang; Nando Metzger; Rodrigo Caye Daudt; Konrad Schindler (CVPR, 2024)

Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds. - Yujia Liu 002; Anton Obukhov; Jan Dirk Wegner; Konrad Schindler (CVPR, 2024)

NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Yangyang Zhang; Cailin Wu; Zhuangda He; Shuangshuang Yin; et al. (CVPR Workshops, 2024)

I-Design: Personalized LLM Interior Designer. - Ata Çelen; Guo Han; Konrad Schindler; Luc Van Gool; Iro Armeni; Anton Obukhov; Xi Wang 021 (ECCV Workshops (2), 2024)

DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. - Yuru Jia; Lukas Hoyer; Shengyu Huang; Tianfu Wang 006; Luc Van Gool; Konrad Schindler; Anton Obukhov (ECCV (39), 2024)

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation. - Xiang Zhang; Bingxin Ke; Hayko Riemenschneider; Nando Metzger; Anton Obukhov; Markus Gross 001; Konrad Schindler; Christopher Schroers (NeurIPS, 2024)

Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds. - Yujia Liu 002; Anton Obukhov; Jan Dirk Wegner; Konrad Schindler (CoRR, 2024)

Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models. - Tianfu Wang 006; Anton Obukhov; Konrad Schindler (CoRR, 2024)

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion. - Massimiliano Viola; Kevin Qu; Nando Metzger; Bingxin Ke; Alexander Becker; Konrad Schindler; Anton Obukhov (CoRR, 2024)

TT-NF: Tensor Train Neural Fields. - Anton Obukhov; Mikhail Usvyatsov; Christos Sakaridis; Konrad Schindler; Luc Van Gool (IEEE J. Sel. Top. Signal Process., 2024)

Video Depth without Video Models. - Bingxin Ke; Dominik Narnhofer; Shengyu Huang; Lei Ke; Torben Peters; Katerina Fragkiadaki; Anton Obukhov; Konrad Schindler (CVPR, 2025)

The Fourth Monocular Depth Estimation Challenge. - Anton Obukhov; Matteo Poggi; Fabio Tosi; Ripudaman Singh Arora; Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden; Shuaihang Wang; Zhenxin Ma; Weijie Chen 006; Baobei Xu; et al. (CVPR Workshops, 2025)

Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis. - Bingxin Ke; Kevin Qu; Tianfu Wang 006; Nando Metzger; Shengyu Huang; Bo Li; Anton Obukhov; Konrad Schindler (CoRR, 2025)