Vishnu Naresh Boddeti

Orcid: 0000-0002-8918-9385

According to our database1, Vishnu Naresh Boddeti authored at least 93 papers between 2009 and 2024.

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Bibliography

2024
Fairness and Bias Mitigation in Computer Vision: A Survey.
CoRR, 2024

A Deep Learning Framework for Three Dimensional Shape Reconstruction from Phaseless Acoustic Scattering Far-field Data.
CoRR, 2024

Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions.
CoRR, 2024

Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage.
CoRR, 2024

FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Utility-Fairness Trade-Offs and how to Find Them.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Physics informed neural network for dynamic stress prediction.
Appl. Intell., November, 2023

Towards Transmission-Friendly and Robust CNN Models over Cloud and Device.
IEEE Trans. Mob. Comput., October, 2023

TFormer: A Transmission-Friendly ViT Model for IoT Devices.
IEEE Trans. Parallel Distributed Syst., February, 2023

Heat-assisted detection and ranging.
Nat., 2023

AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE.
IACR Cryptol. ePrint Arch., 2023

Into the LAIONs Den: Investigating Hate in Multimodal Datasets.
CoRR, 2023

Spurious Correlations and Where to Find Them.
CoRR, 2023

On Hate Scaling Laws For Data-Swamps.
CoRR, 2023

Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components.
CoRR, 2023

Fully Homomorphic Encryption Operators for Score and Decision Fusion in Biometric Identification.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

Into the LAION's Den: Investigating Hate in Multimodal Datasets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

International Workshop on Federated Learning for Distributed Data Mining.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023


Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services.
Proceedings of the IEEE International Conference on Web Services, 2023

On the Biometric Capacity of Generative Face Models.
Proceedings of the IEEE International Joint Conference on Biometrics, 2023

MOAZ: A Multi-Objective AutoML-Zero Framework.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Revisiting Residual Networks for Adversarial Robustness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
On Characterizing the Trade-off in Invariant Representation Learning.
Trans. Mach. Learn. Res., 2022

HERS: Homomorphically Encrypted Representation Search.
IEEE Trans. Biom. Behav. Identity Sci., 2022

Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective.
CoRR, 2022

Deep learning paradigm for prediction of stress distribution in damaged structural components with stress concentrations.
Adv. Eng. Softw., 2022

3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

HEFT: Homomorphically Encrypted Fusion of Biometric Templates.
Proceedings of the IEEE International Joint Conference on Biometrics, 2022

NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Do learned representations respect causal relationships?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Generating Diverse 3D Reconstructions from a Single Occluded Face Image.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification.
IEEE Trans. Evol. Comput., 2021

Neural Architecture Transfer.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

On the Fundamental Trade-offs in Learning Invariant Representations.
CoRR, 2021

Adversarial Representation Learning with Closed-Form Solvers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Spatially-Adaptive Image Restoration using Distortion-Guided Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Multi-objective Co-evolutionary Problem Solving.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

Imparting Fairness to Pre-Trained Biased Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MUXConv: Information Multiplexing in Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Constrained Sampling: Optimum Reconstruction in Subspace With Minimax Regret Constraint.
IEEE Trans. Signal Process., 2019

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.
CoRR, 2019

On the Global Optima of Kernelized Adversarial Representation Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

NSGA-Net: neural architecture search using multi-objective genetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

On the Intrinsic Dimensionality of Image Representations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance - Can We Learn Pedestrian Detectors and Pose Estimators Without Real Data?
Int. J. Comput. Vis., 2018

NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search.
CoRR, 2018

On the Intrinsic Dimensionality of Face Representation.
CoRR, 2018

Perturbative Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Secure Face Matching Using Fully Homomorphic Encryption.
Proceedings of the 9th IEEE International Conference on Biometrics Theory, 2018

RankGAN: A Maximum Margin Ranking GAN for Generating Faces.
Proceedings of the Computer Vision - ACCV 2018, 2018

Efficient K-Shot Learning With Regularized Deep Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
On the Capacity of Face Representation.
CoRR, 2017

Emergence of Selective Invariance in Hierarchical Feed Forward Networks.
CoRR, 2017

Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking.
CoRR, 2017

Face Alignment Robust to Pose, Expressions and Occlusions.
CoRR, 2017

Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Local Binary Convolutional Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Video segmentation and stabilization for BallCam.
Proceedings of the 8th Augmented Human International Conference, 2017

2016
Gesture-based Bootstrapping for Egocentric Hand Segmentation.
CoRR, 2016

In Teacher We Trust: Learning Compressed Models for Pedestrian Detection.
CoRR, 2016

Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator.
CoRR, 2016

Activity-Aware Video Stabilization for BallCam.
Proceedings of the 29th Annual Symposium on User Interface Software and Technology, 2016

Stacked correlation filters for biometric verification.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Probabilistic Deformation Models for Challenging Periocular Image Verification.
IEEE Trans. Inf. Forensics Secur., 2015

Zero-Aliasing Correlation Filters for Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Face Alignment Refinement.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Learning scene-specific pedestrian detectors without real data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Maximum Margin Vector Correlation Filter.
CoRR, 2014

3D Pose-by-Detection of Vehicles via Discriminatively Reduced Ensembles of Correlation Filters.
Proceedings of the British Machine Vision Conference, 2014

2013
Application of Correlation Filters for Iris Recognition.
Proceedings of the Handbook of Iris Recognition, 2013

Iris Segmentation for Challenging Periocular Images.
Proceedings of the Handbook of Iris Recognition, 2013

Maximum Margin Correlation Filter: A New Approach for Localization and Classification.
IEEE Trans. Image Process., 2013

A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Correlation Filters for Object Alignment.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Maximum-Margin Coupled Mappings for cross-domain matching.
Proceedings of the IEEE Sixth International Conference on Biometrics: Theory, 2013

Rank information fusion for challenging ocular image recognition.
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013

2012
RainMon: an integrated approach to mining bursty timeseries monitoring data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Matching highly non-ideal ocular images: An information fusion approach.
Proceedings of the 5th IAPR International Conference on Biometrics, 2012

Coupled Marginal Fisher Analysis for Low-Resolution Face Recognition.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2011
A comparative evaluation of iris and ocular recognition methods on challenging ocular images.
Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011

Improved iris segmentation based on local texture statistics.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Extended-Depth-of-Field Iris Recognition Using Unrestored Wavefront-Coded Imagery.
IEEE Trans. Syst. Man Cybern. Part A, 2010

2009
A Biometric Key-Binding and Template Protection Framework Using Correlation Filters.
Proceedings of the Advances in Biometrics, Third International Conference, 2009


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