Zoltán Ádám Milacski

According to our database, Zoltán Ádám Milacski authored at least 21 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

GHOST: Grounded Human Motion Generation with Open Vocabulary Scene-and-Text Contexts.

Zoltán Ádám Milacski, Koichiro Niinuma, Ryosuke Kawamura, Fernando De la Torre, László A. Jeni

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

MotionGPT: Human Motion Synthesis with Improved Diversity and Realism via GPT-3 Prompting.

José Ribeiro-Gomes, Tianhui Cai, Zoltán Ádám Milacski, Chen Wu, Aayush Prakash, Shingo Takagi, Amaury Aubel, Daeil Kim, Alexandre Bernardino, Fernando De la Torre

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CoGS: Controllable Gaussian Splatting.

Heng Yu, Joel Julin, Zoltán Ádám Milacski, Koichiro Niinuma, László A. Jeni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image.

Heng Yu, Zoltan A. Milacski, László A. Jeni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DyLiN: Making Light Field Networks Dynamic.

Heng Yu, Joel Julin, Zoltan A. Milacski, Koichiro Niinuma, László A. Jeni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness.

Dávid Szeghy, Mahmoud Aslan, Áron Fóthi, Balázs Mészáros, Zoltán Ádám Milacski, András Lorincz

Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

2021

Temporal Reconstruction Methods in Self-Supervised Machine Learning

Zoltán Ádám Milacski

PhD thesis, 2021

MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction.

Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh

BMC Bioinform., 2021

Speech De-identification with Deep Neural Networks.

Ádám Fodor, László Kopácsi, Zoltán Ádám Milacski, András Lorincz

Acta Cybern., 2021

2020

Multi Object Tracking for Similar Instances: A Hybrid Architecture.

Áron Fóthi, Kinga Bettina Faragó, László Kopácsi, Zoltán Ádám Milacski, Viktor Varga, András Lorincz

Proceedings of the Neural Information Processing - 27th International Conference, 2020

VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing.

Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis.

Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Hideki Nakayama, Shin'ichi Satoh

CoRR, 2019

Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification.

Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz

Proceedings of the International Joint Conference on Neural Networks, 2019

GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis.

Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Evis Sala, Hideki Nakayama, Shin'ichi Satoh

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet.

Zoltán Ádám Milacski, Barnabás Póczos, András Lorincz

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Towards reasoning based representations: Deep Consistence Seeking Machine.

András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, Andras Sarkany, Zoltan Toser

Cogn. Syst. Res., 2018

2016

Cognitive Deep Machine Can Train Itself.

András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, András Sárkány, Zoltán Tosér

CoRR, 2016

Estimating Cartesian Compression via Deep Learning.

András Lörincz, András Sárkány, Zoltán Ádám Milacski, Zoltán Tosér

Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015

Cost and risk sensitive decision making and control for highway overtaking maneuver.

Andras Mihaly, Zoltán Ádám Milacski, Zoltan Toser, András Lörincz, Tamás Tettamanti, István Varga

Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015

Robust Detection of Anomalies via Sparse Methods.

Zoltán Ádám Milacski, Marvin Ludersdorfer, András Lörincz, Patrick van der Smagt

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Enhancing Crowdsourced Applications via Incorporated Practice Sessions.

Kinga Bettina Faragó, Zoltán Ádám Milacski, András Németh, András Lörincz

Proceedings of the Second International Workshop on Gamification for Information Retrieval co-located with the 37th European Conference on Information Retrieval (ECIR 2015), 2015