Zoltán Ádám Milacski

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Top Venues

Publications

José Ribeiro-Gomes, Tianhui Cai, Zoltán Ádám Milacski, Chen Wu, Aayush Prakash, Shingo Jason Takagi, Amaury Aubel, Daeil Kim, Alexandre Bernardino, Fernando De la Torre
MotionGPT: Human Motion Synthesis with Improved Diversity and Realism via GPT-3 Prompting. WACV (2024)
Heng Yu, Joel Julin, Zoltán Ádám Milacski, Koichiro Niinuma, László A. Jeni
CoGS: Controllable Gaussian Splatting. CoRR (2023)
Dávid Szeghy, Mahmoud Aslan, Áron Fóthi, Balázs Mészáros, Zoltán Ádám Milacski, András Lorincz
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness. DeLTA (2022)
Dávid Szeghy, Mahmoud Aslan, Áron Fóthi, Balázs Mészáros, Zoltán Ádám Milacski, András Lorincz
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness. CoRR (2022)
Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction. BMC Bioinform. (2) (2021)
Ádám Fodor, László Kopácsi, Zoltán Ádám Milacski, András Lorincz
Speech De-identification with Deep Neural Networks. Acta Cybern. 25 (2) (2021)
Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction. CoRR (2020)
Áron Fóthi, Kinga Bettina Faragó, László Kopácsi, Zoltán Ádám Milacski, Viktor Varga, András Lorincz
Multi Object Tracking for Similar Instances: A Hybrid Architecture. ICONIP (1) (2020)
Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing. ICML (2020)
Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Hideki Nakayama, Shin'ichi Satoh
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. CoRR (2019)
Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz
Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification. IJCNN (2019)
Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. CIBB (2019)
Zoltán Ádám Milacski, Barnabás Póczos, András Lorincz
Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet. BMVC (2019)
András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, Andras Sarkany, Zoltan Toser
Towards reasoning based representations: Deep Consistence Seeking Machine. Cogn. Syst. Res. 47 (2018)
András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, András Sárkány, Zoltán Tosér
Cognitive Deep Machine Can Train Itself. CoRR (2016)
András Lörincz, András Sárkány, Zoltán Ádám Milacski, Zoltán Tosér
Estimating Cartesian Compression via Deep Learning. AGI (2016)
Kinga Bettina Faragó, Zoltán Ádám Milacski, András Németh, András Lörincz
Enhancing Crowdsourced Applications via Incorporated Practice Sessions. GamifIR@ECIR (2015)
Andras Mihaly, Zoltán Ádám Milacski, Zoltan Toser, András Lörincz, Tamás Tettamanti, István Varga
Cost and risk sensitive decision making and control for highway overtaking maneuver. MT-ITS (2015)
Zoltán Ádám Milacski, Marvin Ludersdorfer, András Lörincz, Patrick van der Smagt
Robust Detection of Anomalies via Sparse Methods. ICONIP (3) (2015)