Supasorn Suwajanakorn



Topic Expertise


Computer Vision, Deep Learning, Computer Graphics


Contact


School of Information Science and Technology (IST),

Vidyasirimedhi Institute of Science and Technology (VISTEC), Wangchan Valley, Rayong, THAILAND

Tel: +66(0) 33 01 4307 | email: supasorn.s@vistec.ac.th




Publications:


Journal, Article

NeX360: Real-Time All-Around View Synthesis With Neural Basis Expansion

Phongthawee P.

IEEE Transactions on Pattern Analysis and Machine Intelligence ,2023, 456 




Journal, Article

Repurposing GANs for One-Shot Semantic Part Segmentation

Rewatbowornwong P.

IEEE Transactions on Pattern Analysis and Machine Intelligence ,2023, 454 




Conference Proceeding, Conference Paper

StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer

Khwanmuang S.

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,2023, 2023-June 




Conference Proceeding, Conference Paper

Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs

Arsomngern P.

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,2023, 2023-June 




Journal, Article

Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation

Arsomngern P.

IEEE Transactions on Pattern Analysis and Machine Intelligence ,2023, 451 




Conference Proceeding, Conference Paper

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

Preechakul K.

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,2022, 2022-June 




Journal, Article

Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study

Kumchaiseemak N.

IEEE Transactions on Geoscience and Remote Sensing ,2022, 60 5112510




Conference Proceeding, Conference Paper

Self-supervised deep metric learning for pointsets

Arsomngern P.

Proceedings - International Conference on Data Engineering ,2021, 2021-April 9458827




Journal, Article

SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB

Piriyajitakonkij M.

IEEE Journal of Biomedical and Health Informatics ,2021, 254 9204373




Conference Proceeding, Conference Paper

Repurposing GANs for One-shot Semantic Part Segmentation

Tritrong N.

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,2021, undefined 




Conference Proceeding, Conference Paper

NeX: Real-time View Synthesis with Neural Basis Expansion

Wizadwongsa S.

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,2021, undefined 




Conference Proceeding, Conference Paper

Discovery of latent 3D keypoints via end-to-end geometric reasoning

Suwajanakorn S.

Advances in Neural Information Processing Systems ,2018, 2018-December 




Journal, Conference Paper

Synthesizing obama: Learning lip sync from audio

Suwajanakorn S.

ACM Transactions on Graphics ,2017, 364 95




Conference Proceeding, Conference Paper

Depth from focus with your mobile phone

Suwajanakorn S.

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,2015, 07-12-June-2015 7298972




Conference Proceeding, Conference Paper

What makes tom hanks look like tom hanks

Suwajanakorn S.

Proceedings of the IEEE International Conference on Computer Vision ,2015, 2015 International Conference on Computer Vision, ICCV 2015 7410807




Conference Proceeding, Conference Paper

Illumination-aware age progression

Kemelmacher-Shlizerman I.

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,2014, undefined 6909822




Book Series, Conference Paper

Total moving face reconstruction

Suwajanakorn S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,2014, 8692 LNCSPART 4 




Journal, Article

Extracting the core structure of social networks using (α, β)-communities

Wang L.

Internet Mathematics ,2013, 91 




Book Series, Conference Paper

Detecting the structure of social networks using (α,β)- communities

He J.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,2011, 6732 LNCS 




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