Konpat Preechakul

According to our database, Konpat Preechakul authored at least 7 papers between 2019 and 2023.

Collaborative distances:

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

2023

Optimizing Diffusion Noise Can Serve As Universal Motion Priors.

Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan, Thabo Beeler, Supasorn Suwajanakorn, Siyu Tang

CoRR, 2023

GMD: Controllable Human Motion Synthesis via Guided Diffusion Models.

Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, Siyu Tang

CoRR, 2023

Guided Motion Diffusion for Controllable Human Motion Synthesis.

Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, Siyu Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation.

Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Set Prediction in the Latent Space.

Konpat Preechakul, Chawan Piansaddhayanon, Burin Naowarat, Tirasan Khandhawit, Sira Sriswasdi, Ekapol Chuangsuwanich

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

High resolution weakly supervised localization architectures for medical images.

Konpat Preechakul, Sira Sriswasdi, Boonserm Kijsirikul, Ekapol Chuangsuwanich

CoRR, 2020

2019

CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity.

Konpat Preechakul, Boonserm Kijsirikul

CoRR, 2019