Vishnu Naresh Boddeti

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 86

Top Venues

Publications

Sepehr Dehdashtian, Lan Wang, Vishnu Naresh Boddeti
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs. CoRR (2024)
Sepehr Dehdashtian, Bashir Sadeghi, Vishnu Naresh Boddeti
Utility-Fairness Trade-Offs and How to Find Them. CoRR (2024)
Doga Dikbayir, Abdel Alsnayyan, Vishnu Naresh Boddeti, Balasubramaniam Shanker, Hasan Metin Aktulga
A Deep Learning Framework for Three Dimensional Shape Reconstruction from Phaseless Acoustic Scattering Far-field Data. CoRR (2024)
Xuyang Li, Hamed Bolandi, Mahdi Masmoudi, Talal Salem, Nizar Lajnef, Vishnu Naresh Boddeti
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage. CoRR (2024)
Wei Ao, Vishnu Naresh Boddeti
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE. USENIX Security Symposium (2024)
Vishnu Naresh Boddeti, Gautam Sreekumar, Arun Ross
On the Biometric Capacity of Generative Face Models. IJCB (2023)
Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CoRR (2023)
Gautam Sreekumar, Vishnu Naresh Boddeti
Spurious Correlations and Where to Find Them. CoRR (2023)
Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real
Discovering Adaptable Symbolic Algorithms from Scratch. IROS (2023)
Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. CoRR (2023)
Hamed Bolandi, Gautam Sreekumar, Xuyang Li, Nizar Lajnef, Vishnu Naresh Boddeti
Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components. CoRR (2023)
Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. ICWS (2023)
Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti
On Hate Scaling Laws For Data-Swamps. CoRR (2023)
Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real
Discovering Adaptable Symbolic Algorithms from Scratch. CoRR (2023)
Vishnu Naresh Boddeti, Gautam Sreekumar, Arun Ross
On the Biometric Capacity of Generative Face Models. CoRR (2023)
Lan Wang, Gaurav Mittal, Sandra Sajeev, Ye Yu, Matthew Hall, Vishnu Naresh Boddeti, Mei Chen
ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding. CVPR (2023)
Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device. IEEE Trans. Mob. Comput. 22 (10) (2023)
Fanglin Bao, Xueji Wang, Shree Hari Sureshbabu, Gautam Sreekumar, Liping Yang, Vaneet Aggarwal, Vishnu Naresh Boddeti, Zubin Jacob
Heat-assisted detection and ranging. Nat. 619 (7971) (2023)
Hamed Bolandi, Gautam Sreekumar, Xuyang Li, Nizar Lajnef, Vishnu Naresh Boddeti
Physics informed neural network for dynamic stress prediction. Appl. Intell. 53 (22) (2023)
Wei Ao, Vishnu Naresh Boddeti
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE. CoRR (2023)
Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang
TFormer: A Transmission-Friendly ViT Model for IoT Devices. IEEE Trans. Parallel Distributed Syst. 34 (2) (2023)
Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou
International Workshop on Federated Learning for Distributed Data Mining. KDD (2023)
Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
Revisiting Residual Networks for Adversarial Robustness. CVPR (2023)
Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CVPR (2023)
Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang
TFormer: A Transmission-Friendly ViT Model for IoT Devices. CoRR (2023)
Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti, Alexandra Sasha Luccioni
Into the LAIONs Den: Investigating Hate in Multimodal Datasets. CoRR (2023)
Xuyang Li, Hamed Bolandi, Talal Salem, Nizar Lajnef, Vishnu Naresh Boddeti
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems. CoRR (2022)
Luke Sperling, Nalini K. Ratha, Arun Ross, Vishnu Naresh Boddeti
HEFT: Homomorphically Encrypted Fusion of Biometric Templates. CoRR (2022)
Luke Sperling, Nalini K. Ratha, Arun Ross, Vishnu Naresh Boddeti
HEFT: Homomorphically Encrypted Fusion of Biometric Templates. IJCB (2022)
Joshua J. Engelsma, Anil K. Jain, Vishnu Naresh Boddeti
HERS: Homomorphically Encrypted Representation Search. IEEE Trans. Biom. Behav. Identity Sci. 4 (3) (2022)
Hamed Bolandi, Gautam Sreekumar, Xuyang Li, Nizar Lajnef, Vishnu Naresh Boddeti
Physics Informed Neural Network for Dynamic Stress Prediction. CoRR (2022)
Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective. CoRR (2022)
Lan Wang, Vishnu Naresh Boddeti
Do learned representations respect causal relationships? CoRR (2022)
Rahul Dey, Vishnu Naresh Boddeti
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion. WACV (2022)
Lan Wang, Vishnu Naresh Boddeti
Do learned representations respect causal relationships? CVPR (2022)
Xuyang Li, Hamed Bolandi, Talal Salem, Nizar Lajnef, Vishnu Naresh Boddeti
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems. ECCV Workshops (7) (2022)
Hamed Bolandi, Xuyang Li, Talal Salem, Vishnu Naresh Boddeti, Nizar Lajnef
Deep learning paradigm for prediction of stress distribution in damaged structural components with stress concentrations. Adv. Eng. Softw. 173 (2022)
Rahul Dey, Vishnu Naresh Boddeti
Generating Diverse 3D Reconstructions from a Single Occluded Face Image. CVPR (2022)
Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device. CoRR (2022)
Anirudh Suresh, Kalyanmoy Deb, Vishnu Naresh Boddeti
Towards Multi-objective Co-evolutionary Problem Solving. EMO (2021)
Anirudh Suresh, Jaturong Kongmanee, Kalyanmoy Deb, Vishnu Naresh Boddeti
Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments. CEC (2021)
Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Vishnu Naresh Boddeti
Spatially-Adaptive Image Restoration using Distortion-Guided Networks. ICCV (2021)
Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Vishnu Naresh Boddeti
Spatially-Adaptive Image Restoration using Distortion-Guided Networks. CoRR (2021)
Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti
Adversarial Representation Learning with Closed-Form Solvers. ECML/PKDD (2) (2021)
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 25 (2) (2021)
Rahul Dey, Vishnu Naresh Boddeti
Generating Diverse 3D Reconstructions from a Single Occluded Face Image. CoRR (2021)
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
Neural Architecture Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti
Adversarial Representation Learning With Closed-Form Solvers. CoRR (2021)
Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
MUXConv: Information Multiplexing in Convolutional Neural Networks. CVPR (2020)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. ECCV (1) (2020)
Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
MUXConv: Information Multiplexing in Convolutional Neural Networks. CoRR (2020)
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
Neural Architecture Transfer. CoRR (2020)
Bashir Sadeghi, Vishnu Naresh Boddeti
Imparting Fairness to Pre-Trained Biased Representations. CVPR Workshops (2020)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. CoRR (2020)
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). IJCAI (2020)
Joshua J. Engelsma, Anil K. Jain, Vishnu Naresh Boddeti
HERS: Homomorphically Encrypted Representation Search. CoRR (2020)
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. CoRR (2019)
Proteek Chandan Roy, Vishnu Naresh Boddeti
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach. CoRR (2019)
Bashir Sadeghi, Runyi Yu, Vishnu Naresh Boddeti
Constrained Sampling: Optimum Reconstruction in Subspace With Minimax Regret Constraint. IEEE Trans. Signal Process. 67 (16) (2019)
Bashir Sadeghi, Runyi Yu, Vishnu Naresh Boddeti
On the Global Optima of Kernelized Adversarial Representation Learning. CoRR (2019)
Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain
On the Intrinsic Dimensionality of Image Representations. CVPR (2019)
Proteek Chandan Roy, Vishnu Naresh Boddeti
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach. CVPR (2019)
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Perturbative Neural Networks. CVPR (2018)
Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain
On the Intrinsic Dimensionality of Face Representation. CoRR (2018)
Felix Juefei-Xu, Rahul Dey, Vishnu Naresh Boddeti, Marios Savvides
RankGAN: A Maximum Margin Ranking GAN for Generating Faces. ACCV (3) (2018)
Rahul Dey, Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
RankGAN: A Maximum Margin Ranking GAN for Generating Faces. CoRR (2018)
Vishnu Naresh Boddeti
Secure Face Matching Using Fully Homomorphic Encryption. BTAS (2018)
Hironori Hattori, Namhoon Lee, Vishnu Naresh Boddeti, Fares Beainy, Kris M. Kitani, Takeo Kanade
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. 126 (9) (2018)
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Perturbative Neural Networks. CoRR (2018)
Vishnu Naresh Boddeti
Secure Face Matching Using Fully Homomorphic Encryption. CoRR (2018)
Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani
Efficient K-Shot Learning With Regularized Deep Networks. AAAI (2018)
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. ICCV (2017)
Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani
Efficient K-Shot Learning with Regularized Deep Networks. CoRR (2017)
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking. CoRR (2017)
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Local Binary Convolutional Neural Networks. CVPR (2017)
Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain
On the Capacity of Face Representation. CoRR (2017)
Dipan K. Pal, Vishnu Naresh Boddeti, Marios Savvides
Emergence of Selective Invariance in Hierarchical Feed Forward Networks. CoRR (2017)
Ryohei Funakoshi, Vishnu Naresh Boddeti, Kris Makoto Kitani, Hideki Koike
Video segmentation and stabilization for BallCam. AH (2017)
Vishnu Naresh Boddeti, Myung-Cheol Roh, Jongju Shin, Takaharu Oguri, Takeo Kanade
Face Alignment Robust to Pose, Expressions and Occlusions. CoRR (2017)
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. CoRR (2017)
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Local Binary Convolutional Neural Networks. CoRR (2016)
Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti, Yu Zhang, Fares Beainy, Kris M. Kitani, Takeo Kanade
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator. CoRR (2016)
Yubo Zhang, Vishnu Naresh Boddeti, Kris M. Kitani
Gesture-based Bootstrapping for Egocentric Hand Segmentation. CoRR (2016)
Ryohei Funakoshi, Vishnu Naresh Boddeti, Kris Makoto Kitani, Hideki Koike
Activity-Aware Video Stabilization for BallCam. UIST (Adjunct Volume) (2016)
Jonathan Shen, Noranart Vesdapunt, Vishnu Naresh Boddeti, Kris M. Kitani
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection. CoRR (2016)
Jonathon M. Smereka, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Andres Rodriguez
Stacked correlation filters for biometric verification. ICASSP (2016)
Hironori Hattori, Vishnu Naresh Boddeti, Kris M. Kitani, Takeo Kanade
Learning scene-specific pedestrian detectors without real data. CVPR (2015)
Andy Zeng, Vishnu Naresh Boddeti, Kris M. Kitani, Takeo Kanade
Face Alignment Refinement. WACV (2015)
Jonathon M. Smereka, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar
Probabilistic Deformation Models for Challenging Periocular Image Verification. IEEE Trans. Inf. Forensics Secur. 10 (9) (2015)
Joseph A. Fernandez, Vishnu Naresh Boddeti, Andres Rodriguez, B. V. K. Vijaya Kumar
Zero-Aliasing Correlation Filters for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37 (8) (2015)
Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar
Maximum Margin Vector Correlation Filter. CoRR (2014)
Yair Movshovitz-Attias, Yaser Sheikh, Vishnu Naresh Boddeti, Zijun Wei
3D Pose-by-Detection of Vehicles via Discriminatively Reduced Ensembles of Correlation Filters. BMVC (2014)
Joseph A. Fernandez, Vishnu Naresh Boddeti, Andres Rodriguez, B. V. K. Vijaya Kumar
Zero-Aliasing Correlation Filters for Object Recognition. CoRR (2014)
Md. Maruf Monwar, B. V. K. Vijaya Kumar, Vishnu Naresh Boddeti, Jonathon M. Smereka
Rank information fusion for challenging ocular image recognition. ICCI*CC (2013)
Vishnu Naresh Boddeti, Takeo Kanade, B. V. K. Vijaya Kumar
Correlation Filters for Object Alignment. CVPR (2013)
Stephen Siena, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar
Maximum-Margin Coupled Mappings for cross-domain matching. BTAS (2013)
Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar
A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters. IEEE Trans. Pattern Anal. Mach. Intell. 35 (9) (2013)
Andres Rodriguez, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Abhijit Mahalanobis
Maximum Margin Correlation Filter: A New Approach for Localization and Classification. IEEE Trans. Image Process. 22 (2) (2013)
Ilari Shafer, Kai Ren, Vishnu Naresh Boddeti, Yoshihisa Abe, Gregory R. Ganger, Christos Faloutsos
RainMon: an integrated approach to mining bursty timeseries monitoring data. KDD (2012)
Stephen Siena, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar
Coupled Marginal Fisher Analysis for Low-Resolution Face Recognition. ECCV Workshops (2) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vishnu Naresh Boddeti