Vishnu Naresh Boddeti

research

∙ 02/15/2023

TFormer: A Transmission-Friendly ViT Model for IoT Devices

Deploying high-performance vision transformer (ViT) models on ubiquitous...

2 Zhichao Lu, et al. ∙

research

∙ 12/21/2022

Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective

Efforts to improve the adversarial robustness of convolutional neural ne...

0 Shihua Huang, et al. ∙

research

∙ 12/19/2022

Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components

Structural components are typically exposed to dynamic loading, such as ...

0 Hamed Bolandi, et al. ∙

research

∙ 11/28/2022

Physics Informed Neural Network for Dynamic Stress Prediction

Structural failures are often caused by catastrophic events such as eart...

0 Hamed Bolandi, et al. ∙

research

∙ 08/26/2022

NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems

Structural monitoring for complex built environments often suffers from ...

0 Xuyang Li, et al. ∙

research

∙ 08/15/2022

HEFT: Homomorphically Encrypted Fusion of Biometric Templates

This paper proposes a non-interactive end-to-end solution for secure fus...

0 Luke Sperling, et al. ∙

research

∙ 07/20/2022

Towards Transmission-Friendly and Robust CNN Models over Cloud and Device

Deploying deep convolutional neural network (CNN) models on ubiquitous I...

0 Chuntao Ding, et al. ∙

research

∙ 04/02/2022

Do learned representations respect causal relationships?

Data often has many semantic attributes that are causally associated wit...

1 Lan Wang, et al. ∙

research

∙ 12/01/2021

Generating Diverse 3D Reconstructions from a Single Occluded Face Image

Occlusions are a common occurrence in unconstrained face images. Single ...

0 Rahul Dey, et al. ∙

research

∙ 09/12/2021

Adversarial Representation Learning With Closed-Form Solvers

Adversarial representation learning aims to learn data representations f...

10 Bashir Sadeghi, et al. ∙

research

∙ 08/19/2021

Spatially-Adaptive Image Restoration using Distortion-Guided Networks

We present a general learning-based solution for restoring images suffer...

5 Kuldeep Purohit, et al. ∙

research

∙ 07/20/2020

NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

In this paper, we propose an efficient NAS algorithm for generating task...

0 Zhichao Lu, et al. ∙

research

∙ 05/12/2020

Neural Architecture Transfer

Neural architecture search (NAS) has emerged as a promising avenue for a...

22 Zhichao Lu, et al. ∙

research

∙ 03/31/2020

MUXConv: Information Multiplexing in Convolutional Neural Networks

Convolutional neural networks have witnessed remarkable improvements in ...

0 Zhichao Lu, et al. ∙

research

∙ 03/27/2020

HERS: Homomorphically Encrypted Representation Search

We present a method to search for a probe (or query) image representatio...

0 Joshua J. Engelsma, et al. ∙

research

∙ 12/03/2019

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks

Convolutional neural networks (CNNs) are the backbones of deep learning ...

19 Zhichao Lu, et al. ∙

research

∙ 10/16/2019

On the Global Optima of Kernelized Adversarial Representation Learning

Adversarial representation learning is a promising paradigm for obtainin...

0 Bashir Sadeghi, et al. ∙

research

∙ 04/11/2019

Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach

Image recognition systems have demonstrated tremendous progress over the...

0 Proteek Chandan Roy, et al. ∙

research

∙ 12/19/2018

RankGAN: A Maximum Margin Ranking GAN for Generating Faces

We present a new stage-wise learning paradigm for training generative ad...

12 Rahul Dey, et al. ∙

research

∙ 06/05/2018

Perturbative Neural Networks

Convolutional neural networks are witnessing wide adoption in computer v...

2 Felix Juefei-Xu, et al. ∙

research

∙ 05/01/2018

Secure Face Matching Using Fully Homomorphic Encryption

Face recognition technology has demonstrated tremendous progress over th...

0 Vishnu Naresh Boddeti, et al. ∙

research

∙ 03/26/2018

On the Intrinsic Dimensionality of Face Representation

The two underlying factors that determine the efficacy of face represent...

0 Sixue Gong, et al. ∙

research

∙ 10/06/2017

Efficient K-Shot Learning with Regularized Deep Networks

Feature representations from pre-trained deep neural networks have been ...

0 Donghyun Yoo, et al. ∙

research

∙ 09/29/2017

On the Capacity of Face Representation

Face recognition is a widely used technology with numerous large-scale a...

1 Sixue Gong, et al. ∙

research

∙ 07/19/2017

Face Alignment Robust to Pose, Expressions and Occlusions

We propose an Ensemble of Robust Constrained Local Models for alignment ...

0 Vishnu Naresh Boddeti, et al. ∙

research

∙ 04/07/2017

Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption

We propose a privacy-preserving framework for learning visual classifier...

0 Ryo Yonetani, et al. ∙

research

∙ 12/15/2016

Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator

We introduce the concept of a Visual Compiler that generates a scene spe...

0 Namhoon Lee, et al. ∙

research

∙ 12/09/2016

Gesture-based Bootstrapping for Egocentric Hand Segmentation

Accurately identifying hands in images is a key sub-task for human activ...

0 Yubo Zhang, et al. ∙

research

∙ 08/22/2016

Local Binary Convolutional Neural Networks

We propose local binary convolution (LBC), an efficient alternative to c...

0 Felix Juefei-Xu, et al. ∙

research

∙ 11/10/2014

Zero-Aliasing Correlation Filters for Object Recognition

Correlation filters (CFs) are a class of classifiers that are attractive...

0 Joseph A. Fernandez, et al. ∙

research

∙ 04/24/2014

Maximum Margin Vector Correlation Filter

Correlation Filters (CFs) are a class of classifiers which are designed ...

0 Vishnu Naresh Boddeti, et al. ∙

Vishnu Naresh Boddeti

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