Spiking Cooperative Stereo-Matching at 2 ms Latency with Neuromorphic Hardware. - Georgi Dikov; Mohsen Firouzi; Florian Röhrbein; Jörg Conradt; Christoph Richter (Living Machines, 2017)

Bayesian Learning of Neural Network Architectures. - Georgi Dikov; Justin Bayer (AISTATS, 2019)

Catch me if you can: how geo-indistinguishability affects utility in mobility-based geographic datasets. - Adriano Di Luzio; Aline Carneiro Viana; Konstantinos Chatzikokolakis 001; Georgi Dikov; Catuscia Palamidessi; Julinda Stefa (LocalRec@SIGSPATIAL, 2019)

Bayesian Learning of Neural Network Architectures. - Georgi Dikov; Patrick van der Smagt; Justin Bayer (CoRR, 2019)

3D Deep Learning for Biological Function Prediction from Physical Fields. - Vladimir Golkov; Marcin J. Skwark; Atanas Mirchev; Georgi Dikov; Alexander R. Geanes; Jeffrey L. Mendenhall; Jens Meiler; Daniel Cremers (3DV, 2020)

Calibrated Adversarial Refinement for Multimodal Semantic Segmentation. - Elias Kassapis; Georgi Dikov; Deepak K. Gupta; Cedric Nugteren (CoRR, 2020)

Calibrated Adversarial Refinement for Stochastic Semantic Segmentation. - Elias Kassapis; Georgi Dikov; Deepak K. Gupta; Cedric Nugteren (ICCV, 2021)

Variational Depth Networks: Uncertainty-Aware Monocular Self-supervised Depth Estimation. - Georgi Dikov; Joris van Vugt (ECCV Workshops (8), 2022)

DG-Recon: Depth-Guided Neural 3D Scene Reconstruction. - Jihong Ju; Ching Wei Tseng; Oleksandr Bailo; Georgi Dikov; Mohsen Ghafoorian (ICCV, 2023)

3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces. - Xuepeng Shi; Georgi Dikov; Gerhard Reitmayr; Tae-Kyun Kim 001; Mohsen Ghafoorian (ICCV, 2023)

FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos. - Florian Langer; Jihong Ju; Georgi Dikov; Gerhard Reitmayr; Mohsen Ghafoorian (ECCV (15), 2024)

AnyMap: Learning a General Camera Model for Structure-from-Motion with Unknown Distortion in Dynamic Scenes. - Andrea Porfiri Dal Cin; Georgi Dikov; Jihong Ju; Mohsen Ghafoorian (CVPR, 2025)