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Publication search results
found 30 matches
- 2024
- Lezhong Wang, Jeppe Revall Frisvad, Mark Bo Jensen, Siavash Arjomand Bigdeli:
StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models. CoRR abs/2403.04965 (2024) - Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen
, Zahra Bashir
, Siavash Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen:
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. CoRR abs/2403.08700 (2024) - 2023
- Nina Weng, Siavash Bigdeli, Eike Petersen
, Aasa Feragen
:
Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? CLIP/FAIMI/EPIMI@MICCAI 2023: 142-152 - Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen:
Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis? CoRR abs/2308.05129 (2023) - Nina Weng, Paraskevas Pegios, Aasa Feragen, Eike Petersen, Siavash Bigdeli:
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. CoRR abs/2312.14223 (2023) - 2022
- Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar:
Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization. ICASSP 2022: 61-65 - Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar:
Optimizing the Consumption of Spiking Neural Networks with Activity Regularization. CoRR abs/2204.01460 (2022) - 2021
- David Honzátko
, Engin Türetken, Siavash Arjomand Bigdeli, L. Andrea Dunbar, Pascal Fua:
Defect segmentation for multi-illumination quality control systems. Mach. Vis. Appl. 32(6): 118 (2021) - 2020
- Pedram Pad, Simon Narduzzi, Clément Kündig, Engin Türetken, Siavash Arjomand Bigdeli, L. Andrea Dunbar:
Efficient Neural Vision Systems Based on Convolutional Image Acquisition. CVPR 2020: 12282-12291 - Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte
, Zheng Hui
, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, S. M. Nadim Uddin, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu-Tak Li, Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Daniel Pak-Kong Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal
, Pranjal Singh Chauhan:
AIM 2020 Challenge on Image Extreme Inpainting. ECCV Workshops (3) 2020: 716-741 - Tiziano Portenier, Siavash Arjomand Bigdeli, Orcun Goksel:
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars. NeurIPS 2020 - David Honzátko
, Siavash Arjomand Bigdeli, Engin Türetken, L. Andrea Dunbar:
Efficient Blind-Spot Neural Network Architecture for Image Denoising. SDS 2020: 59-60 - Siavash Arjomand Bigdeli, David Honzátko
, Sabine Süsstrunk, L. Andrea Dunbar:
Image Restoration using Plug-and-Play CNN MAP Denoisers. VISIGRAPP (4: VISAPP) 2020: 85-92 - Siavash Arjomand Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker:
Learning Generative Models using Denoising Density Estimators. CoRR abs/2001.02728 (2020) - Tiziano Portenier, Siavash Arjomand Bigdeli, Orcun Goksel:
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars. CoRR abs/2006.16112 (2020) - David Honzátko, Siavash Arjomand Bigdeli, Engin Türetken, L. Andrea Dunbar:
Efficient Blind-Spot Neural Network Architecture for Image Denoising. CoRR abs/2008.11010 (2020) - Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte:
AIM 2020 Challenge on Image Extreme Inpainting. CoRR abs/2010.01110 (2020) - 2019
- Siavash Arjomand Bigdeli, Sabine Süsstrunk:
Deep Semantic Segmentation Using Nir as Extra Physical Information. ICIP 2019: 2439-2443 - Siavash Arjomand Bigdeli, David Honzátko, Sabine Süsstrunk, L. Andrea Dunbar:
Image Restoration using Plug-and-Play CNN MAP Denoisers. CoRR abs/1912.09299 (2019) - 2018
- Tiziano Portenier, Qiyang Hu, Attila Szabó, Siavash Arjomand Bigdeli, Paolo Favaro, Matthias Zwicker:
Faceshop: deep sketch-based face image editing. ACM Trans. Graph. 37(4): 99 (2018) - Siavash Arjomand Bigdeli, Matthias Zwicker:
Image Restoration using Autoencoding Priors. VISIGRAPP (5: VISAPP) 2018: 33-44 - Tiziano Portenier, Qiyang Hu, Attila Szabó
, Siavash Arjomand Bigdeli, Paolo Favaro, Matthias Zwicker:
FaceShop: Deep Sketch-based Face Image Editing. CoRR abs/1804.08972 (2018) - Edo Collins, Siavash Arjomand Bigdeli, Sabine Süsstrunk:
Detecting Memorization in ReLU Networks. CoRR abs/1810.03372 (2018) - 2017
- Siavash Bigdeli:
Advanced Restoration Techniques for Images and Disparity Maps. University of Bern, Switzerland, 2017 - Siavash Arjomand Bigdeli, Matthias Zwicker, Paolo Favaro, Meiguang Jin:
Deep Mean-Shift Priors for Image Restoration. NIPS 2017: 763-772 - Siavash Arjomand Bigdeli, Matthias Zwicker:
Image Restoration using Autoencoding Priors. CoRR abs/1703.09964 (2017) - Siavash Arjomand Bigdeli, Meiguang Jin, Paolo Favaro, Matthias Zwicker:
Deep Mean-Shift Priors for Image Restoration. CoRR abs/1709.03749 (2017) - 2016
- Siavash Arjomand Bigdeli, Gregor Budweiser, Matthias Zwicker:
Temporally coherent disparity maps using CRFs with fast 4D filtering. IPSJ Trans. Comput. Vis. Appl. 8: 10 (2016) - 2015
- Siavash Arjomand Bigdeli, Gregor Budweiser, Matthias Zwicker:
Temporally coherent disparity maps using CRFs with fast 4D filtering. ACPR 2015: 301-305 - 2014
- Daniel Donatsch, Siavash Arjomand Bigdeli, Philippe Robert, Matthias Zwicker
:
Hand-held 3D light field photography and applications. Vis. Comput. 30(6-8): 897-907 (2014)
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