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Sudhanshu Srivastava
Sudhanshu Srivastava
Verified email at ucsb.edu
Title
Cited by
Cited by
Year
Deep cross-modal audio-visual generation
L Chen, S Srivastava, Z Duan, C Xu
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 349-357, 2017
2192017
Deep learning–based scene simplification for bionic vision
N Han, S Srivastava, A Xu, D Klein, M Beyeler
Proceedings of the Augmented Humans International Conference 2021, 45-54, 2021
402021
Neuronal population statistics, computations, and mechanisms of a feedforward convolutional neural network that learns to covertly attend
S Srivastava, WY Wang, MP Eckstein
bioRxiv, 2023.09. 17.558171, 2023
22023
A Feedforward Convolutional Neural Network with a Few Million Neurons Learns from Images to Covertly Attend to Cues and Context like Humans and an Optimal Bayesian Observer
S Srivastava, W Wang, MP Eckstein
2*2021
Emergent human-like covert attention in feedforward convolutional neural networks
S Srivastava, WY Wang, MP Eckstein
Current Biology 34 (3), 579-593. e12, 2024
2024
Statistical Characterization of Attention Effects on the Contrast Tuning Functions Of Neuronal Populations of a Convolutional Neural Network
S Srivastava, MP Eckstein
Journal of Vision 23 (9), 5941-5941, 2023
2023
Lower Search Efficiency for Conjunction vs. Feature Search for Convolutional Neural Networks
AK Soni, S Srivastava, MP Eckstein
Journal of Vision 23 (9), 5193-5193, 2023
2023
Statistical Characterization of a Convolutional Neural Network which learns Global Context During Search
S Srivastava, M Eckstein
Journal of Vision 22 (14), 4466-4466, 2022
2022
A Feed-Forward Convolutional Neural Network Learns to Covertly Attend like Humans to Cues and Context
S Srivastava, MP Eckstein
PERCEPTION 50 (1_ SUPPL), 15-16, 2021
2021
Enhancing simulated prosthetic vision with deep learning–based scene simplification strategies
A Xu, N Han, S Srivastava, D Klein, M Beyeler
Journal of Vision 21 (9), 2308-2308, 2021
2021
Neuronal Population Tuning Statistics to Target and Cues for a feed-Forward Convolutional Neural Network that Learns to Covertly Attend
S Srivastava, MP Eckstein
Journal of Vision 21 (9), 2885, 2021
2021
A Feedforward Convolutional Neural Network Learns from Images to Covertly Attend to Contextual Cues Like Human and Bayesian Ideal Observers
S Srivastava, WY Wang, MP Eckstein
Available at SSRN 4472734, 2021
2021
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