Fetching the paper…
Reading the bibliography…
The connection between brain activity and corresponding visual stimuli is crucial in comprehending the human brain.
Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
Earlier work this paper cites.
Pushing spatial and temporal resolution for functional and diffusion MRI in the human connectome project
Kâmil Ugurbil, Junqian Xu, Edward J. Auerbach, Steen Moeller, An T. Vu, Julio Martin Duarte-Carvajalino, Christophe Lenglet, Xiaoping Wu, Sebastian Schmitter, Pierre-François van de Moortele, John P. Strupp, Guillermo Sapiro, Federico De Martino, Dingxin Wang, Noam Harel, Michael Garwood, Liyong Chen, David A. Feinberg, Stephen M. Smith, Karla L. Miller, Stamatios N. Sotiropoulos, Saâd Jbabdi, Jesper L. R. Andersson, Timothy Edward John Behrens, Matthew F. Glasser, David C. Van Essen, and Essa Yacoub · 2013
Earlier work this paper cites.
Hierarchical modular optimization of convolutional networks achieves representations similar to macaque it and human ventral stream
Daniel L Yamins, Ha Hong, Charles Cadieu, and James J DiCarlo · 2013
Earlier work this paper cites.
Performance-optimized hierarchical models predict neural responses in higher visual cortex
Daniel LK Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, and James J DiCarlo · 2014
Earlier work this paper cites.
Deep neural networks reveal a gradient in the complexity of neural representations across the ventral stream
Umut Güçlü and Marcel AJ van Gerven · 2015
Earlier work this paper cites.
Generic decoding of seen and imagined objects using hierarchical visual features
Tomoyasu Horikawa and Yukiyasu Kamitani · 2015
Earlier work this paper cites.
Using goal-driven deep learning models to understand sensory cortex
Daniel LK Yamins and James J DiCarlo · 2016
Earlier work this paper cites.
Look, listen and learn
Relja Arandjelovic and Andrew Zisserman · 2017
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Generic decoding of seen and imagined objects using hierarchical visual features
Tomoyasu Horikawa and Yukiyasu Kamitani · 2017
Earlier work this paper cites.
Neural networks for efficient bayesian decoding of natural images from retinal neurons
Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, EJ Chichilnisky, and Liam Paninski · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Exploring the limits of weakly supervised pretraining
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens Van Der Maaten · 2018
Earlier work this paper cites.
Audio-visual scene analysis with self-supervised multisensory features
Andrew Owens and Alexei A Efros · 2018
Earlier work this paper cites.
Multimodal generative models for scalable weakly-supervised learning
Mike Wu and Noah Goodman · 2018
Cited alongside, same era.
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fmri
Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, and Michal Irani · 2019
Cited alongside, same era.
Bold5000, a public fmri dataset while viewing 5000 visual images
Nadine Chang, John A Pyles, Austin Marcus, Abhinav Gupta, Michael J Tarr, and Elissa M Aminoff · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
Cited alongside, same era.
Generalized zero-and few-shot learning via aligned variational autoencoders
Edgar Schonfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, and Zeynep Akata · 2019
Cited alongside, same era.
End-to-end deep image reconstruction from human brain activity
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Later among the works it cites.
Thomas M Sutter, Imant Daunhawer, and Julia E Vogt · 2021
Later among the works it cites.
Maskgit: Masked generative image transformer
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, and William T. Freeman · 2022
Later among the works it cites.
Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding
Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, and Juan Helen Zhou · 2022
Later among the works it cites.
Semantic brain decoding: from fmri to conceptually similar image reconstruction of visual stimuli
Matteo Ferrante, Tommaso Boccato, and Nicola Toschi · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Guohua Shen, Kshitij Dwivedi, Kei Majima, Tomoyasu Horikawa, and Yukiyasu Kamitani · 2019
Cited alongside, same era.
Variational mixture-of-experts autoencoders for multi-modal deep generative models
Yuge Shi, Brooks Paige, Philip Torr, et al · 2019
Cited alongside, same era.
Visual working memory directly alters perception
Chunyue Teng and Dwight J Kravitz · 2019
Cited alongside, same era.
Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Reconstructing natural scenes from fmri patterns using bigbigan
Milad Mozafari, Leila Reddy, and Rufin VanRullen · 2020
Cited alongside, same era.
Multi-modal self-supervision from generalized data transformations
Mandela Patrick, Yuki Asano, Polina Kuznetsova, Ruth Fong, Joao F Henriques, Geoffrey Zweig, and Andrea Vedaldi · 2020
Cited alongside, same era.
Later among the works it cites.
Self-supervised natural image reconstruction and large-scale semantic classification from brain activity
Guy Gaziv, Roman Beliy, Niv Granot, Assaf Hoogi, Francesca Strappini, Tal Golan, and Michal Irani · 2022
Later among the works it cites.
Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
Later among the works it cites.
Reconstruction of perceived images from fmri patterns and semantic brain exploration using instance-conditioned gans
Furkan Ozcelik, Bhavin Choksi, Milad Mozafari, Leila Reddy, and Rufin VanRullen · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Later among the works it cites.
Decoding visual neural representations by multimodal learning of brain-visual-linguistic features
Changde Du, Kaicheng Fu, Jinpeng Li, and Huiguang He · 2023
Closest in time.
The algonauts project 2023 challenge: How the human brain makes sense of natural scenes
Alessandro T Gifford, Benjamin Lahner, Sari Saba-Sadiya, Martina G Vilas, Alex Lascelles, Aude Oliva, Kendrick Kay, Gemma Roig, and Radoslaw M Cichy · 2023
Closest in time.
Imagebind: One embedding space to bind them all
Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, and Ishan Misra · 2023
Closest in time.
Yulong Liu, Yongqiang Ma, Wei Zhou, Guibo Zhu, and Nanning Zheng · 2023
Closest in time.
Linearly mapping from image to text space
Jack Merullo, Louis Castricato, Carsten Eickhoff, and Ellie Pavlick · 2023
Closest in time.
Brain-diffuser: Natural scene reconstruction from fmri signals using generative latent diffusion
Furkan Ozcelik and Rufin VanRullen · 2023
Closest in time.