Amil Dravid - RankMe

18 papers A* 5Misc 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Vision Transformers Don't Need Trained Registers. CoRR Nick Jiang, Amil Dravid, Alexei A. Efros, Yossi Gandelsman
2024	A*	`conf`	Idempotent Generative Network. ICLR Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros
2024	A*	`conf`	Interpreting the Weight Space of Customized Diffusion Models. NeurIPS Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman
2024	J	`jnl`	Interpreting the Weight Space of Customized Diffusion Models. CoRR Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman
2023	A*	`conf`	BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CVPR 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
2023	J	`jnl`	DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels. CoRR Yunan Wu, Amil Dravid, Ramsey Michael Wehbe, Aggelos K. Katsaggelos
2023	J	`jnl`	Idempotent Generative Network. CoRR Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros
2023	A*	`conf`	Rosetta Neurons: Mining the Common Units in a Model Zoo. ICCV Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher
2023	J	`jnl`	Rosetta Neurons: Mining the Common Units in a Model Zoo. CoRR Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher
2022	J	`jnl`	BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CoRR 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
2022	J	`jnl`	Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes. CoRR Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos
2022	Misc	`conf`	Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes. ICASSP Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos
2022	A*	`conf`	Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract). AAAI Amil Dravid, Aggelos K. Katsaggelos
2022	—	`conf`	medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. CVPR Workshops Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos
2022	J	`jnl`	medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. CoRR Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos
2021	J	`jnl`	Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks. CoRR Amil Dravid, Aggelos K. Katsaggelos
2020	—	`conf`	Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes. ShapeMI@MICCAI Emanuel A. Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B. Parrish, S. Kathleen Bandt, Aggelos K. Katsaggelos
2020	J	`jnl`	Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes. CoRR Emanuel A. Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B. Parrish, S. Kathleen Bandt, Aggelos K. Katsaggelos