Amil Dravid

According to our database, Amil Dravid authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Interpreting the Weight Space of Customized Diffusion Models.

Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman

CoRR, 2024

Idempotent Generative Network.

Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels.

Yunan Wu, Amil Dravid, Ramsey Michael Wehbe, Aggelos K. Katsaggelos

CoRR, 2023

Rosetta Neurons: Mining the Common Units in a Model Zoo.

Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher

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

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos.

Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos.

Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona

CoRR, 2022

Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes.

Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos

Proceedings of the IEEE International Conference on Acoustics, 2022

medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space.

Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos

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

Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract).

Amil Dravid, Aggelos K. Katsaggelos

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks.

Amil Dravid, Aggelos K. Katsaggelos

CoRR, 2021

2020

Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes.

Emanuel A. Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B. Parrish, S. Kathleen Bandt, Aggelos K. Katsaggelos

Proceedings of the Shape in Medical Imaging - International Workshop, 2020