Ayaan Haque

According to our database, Ayaan Haque authored at least 14 papers between 2020 and 2023.

Collaborative distances:

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

2023

Task-specific self-supervision for CT image denoising.

Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran

Comput. methods Biomech. Biomed. Eng. Imaging Vis., November, 2023

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions.

Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa

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

Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract).

Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation.

Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert

CoRR, 2022

Noise2Quality: non-reference, pixel-wise assessment of low dose CT image quality.

Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran

Proceedings of the Medical Imaging 2022: Image Perception, 2022

2021

Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data.

Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam S. Wang, Demetri Terzopoulos

CoRR, 2021

3N-GAN: Semi-Supervised Classification of X-Ray Images with a 3-Player Adversarial Framework.

Shafin Haque, Ayaan Haque

CoRR, 2021

Convolutional Nets for Diabetic Retinopathy Screening in Bangladeshi Patients.

Ayaan Haque, Ipsita Sutradhar, Mahziba Rahman, Mehedi Hasan, Malabika Sarker

CoRR, 2021

Window-Level Is a Strong Denoising Surrogate.

Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Multimix: Sparingly-Supervised, Extreme Multitask Learning from Medical Images.

Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam S. Wang, Demetri Terzopoulos

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction.

Ayaan Haque, Viraaj Reddi, Tyler Giallanza

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Simulated Data Generation through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch Modeling.

Sajiv Shah, Ayaan Haque, Fei Liu

Proceedings of the 6th Asia-Pacific Conference on Intelligent Robot Systems, 2021

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (Student Abstract).

Ayaan Haque

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs.

Ayaan Haque

CoRR, 2020