Publications

@incollection{boddeti2026homomorphic,
  author      = {\emph{\underline{Vishnu Naresh Boddeti}}},
  title       = "Homomorphic Encryption for Biometric Template Protection",
  editor      = "Krivoku{\'{c}}a Hahn, Vedrana and Gomez-Barrero, Marta and Ross, Arun and Marcel, S{\'e}bastien",
  booktitle   = "Handbook of Biometric Template Protection: Motivation, Methods and Metrics",
  publisher   = "Springer Nature Singapore",
  year        = {2026},
  pages       = "133--170",
  keywords = {Homomorphic Encryption, Secure Biometrics}
}

@article{xie2026atlas,
  title={ATLAS: Automated Approximation of Transformers for Efficient Homomorphic Inference in One Hour},
  author={Jianhang Xie and Sicheng Tan and \emph{\underline{Vishnu Naresh Boddeti}} and Zhichao Lu},
  year={2026},
  journal={arXiv:2607.23478},
  url={https://arxiv.org/abs/2607.23478},
  keywords = {Homomorphic Encryption, Architecture Search},
  code = {https://github.com/jianhayes/ATLAS},
}

@article{dikbayir2026deep,
  title = {A data-driven framework for fast three dimensional shape reconstruction from phaseless acoustic scattering data},
  author={Doga Dikbayir and Abdel Alsnayyan and \emph{\underline{Vishnu Naresh Boddeti}} and Shanker Balasubramaniam and Hasan Metin Aktulga},
  journal = {Inverse Problems},
  year={2026},
  month = apr,
  volume = {42},
  number = {4},
  pages = {045016},
  url = {https://doi.org/10.1088/1361-6420/ae537e},
  keywords = {AI for Engineering}
}

@article{sreekumar2026inphyre,
  title={InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning},
  author={Gautam Sreekumar and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={Transactions on Machine Learning Research (TMLR)},
  year={2026},
  url={https://arxiv.org/abs/2509.12263},
  keywords={Reasoning}
}

@article{naghavi2026rapid,
  title={Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning},
  author={Ehsan Naghavi and Haifeng Wang and Vahid Ziaei Rad and Julius Guccione and Ghassan Kassab and \emph{\underline{Vishnu Naresh Boddeti}} and Seungik Baek and Lik-Chuan Lee},
  journal={npj Digital Medicine},
  year={2026},
  url={https://arxiv.org/abs/2506.08987},
  keywords = {AI for Engineering, Healthcare}
}

@inproceedings{morshed2026compositional,
  title={Compositional Generative Modeling from Decentralized Data},
  author={Mashrur Morshed and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={International Conference on Machine Learning (ICML)},
  year={2026},
  note = {(Acceptance Rate: 26.6\%)},
  keywords={Generative Models},
  url={https://arxiv.org/abs/2606.10153}
}

@inproceedings{dehdashtian2026foeglass,
  title={FoeGlass: When Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors},
  author={Sepehr Dehdashtian and Jacob Seidman and \emph{\underline{Vishnu Naresh Boddeti}} and Gaurav Bharaj},
  booktitle={International Conference on Machine Learning (ICML)},
  year={2026},
  note = {(Acceptance Rate: 26.6\%)},
  keywords={Deepfake, Red Teaming},
  url={https://arxiv.org/abs/2606.05101}
}

@inproceedings{ao2026qsvideo,
  title={QSVideo: Query-Conditioned Semantic Temporal Retrieval for Video Understanding},
  author={Wei Ao and Lan Wang and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={European Conference on Computer Vision (ECCV)},
  year={2026},
  note = {(Acceptance Rate: 27.53\%)},
  keywords = {Efficient Architectures, Video},
  url={https://arxiv.org/abs/2607.04559}
}

@inproceedings{pu2026showmeastep,
  title={Show Me A Step: Generating Instructional Videos with Diffusion Models},
  author={Yujiang Pu and Zhanbo Huang and \emph{\underline{Vishnu Naresh Boddeti}} and Yu Kong},
  booktitle={Winter Conference on Applications of Computer Vision (WACV)},
  year={2026},
  keywords={Generative Models, Video},
  note = {(Acceptance Rate: 33.7\%)},
  url={https://yujiangpu20.github.io/showme/}
}

@inproceedings{sreekumar2026inphyrew,
  title={InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning},
  author={Gautam Sreekumar and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={CVPR Workshop on Multimodal Algorithmic Reasoning (CVPRW)},
  year={2026},
  keywords={Reasoning},
  url={https://arxiv.org/abs/2509.12263}  
}

@inproceedings{dehdashtian20262026latent,
  title={LatentCompass: T2I Diffusion Steering via Orthogonal Attribute Spaces for Debiasing, Concept Erasure, and Red Teaming},
  author={Sepehr Dehdashtian and Mashrur M Morshed and Milad Afshari and Jacob H Seidman and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Mechanistic Interpretability Workshop at ICML},
  year={2026},
  keywords={Deepfake, Red Teaming, Concept Erasure, Debiasing},
  url={https://openreview.net/forum?id=Sr413m9z1v}
}

@inproceedings{li2026neural,
  title={Neural-VSI: Variational System Identification of Structural Parameter Fields in High-Order PDEs},
  author={Xuyang Li and Mahdi Masmoudi and Rami Gharbi and Nizar Lajnef and \emph{\underline{Vishnu Naresh Boddeti}} and John Harlim and Romit Maulik},
  booktitle={Workshop on {AI \& PDE} at ICLR},
  year={2026},
  keywords = {AI for Engineering},
  url={https://hal.cse.msu.edu/papers/neural-vsi-variational-system-identification-structural-parameter-estimation/}
}

@inproceedings{masmoudi2026uned,
  title={UNED: One-shot Uncertainty-aware Neural Experimental Design for Transient PDEs},
  author={Mahdi Masmoudi and Xuyang Li and Rami Gharbi and Nizar Lajnef and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Workshop on {AI \& PDE} at ICLR},
  year={2026},
  keywords = {AI for Engineering},
  url={https://hal.cse.msu.edu/papers/uned-uncertainty-aware-neural-experimental-design-transient-pde/}
}

@article{akbari2025homomorphically,
  title={Homomorphically Encrypted Biometric Template Fusion and Matching},
  author={Ramin Akbari and Luke Sperling and Nalini Ratha and Arun Ross and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={IEEE Transactions on Biometrics, Behavior, and Identity Science},
  year={2025},
  keywords = {Secure Biometrics, Homomorphic Encryption},
  url={https://ieeexplore.ieee.org/document/11111688}
}

@article{sreekumar2025incorporating,
  title={Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift},
  author={Gautam Sreekumar and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2025},
  journal={Transactions on Machine Learning Research (TMLR)},
  url={https://arxiv.org/abs/2507.05412},
  keywords = {Causal AI}
}

@inproceedings{gaudi2025coind,
  title={CoInD: Enabling Logical Compositions in Diffusion Models},
  author={Sachit Gaudi and Gautam Sreekumar and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2025},
  note = {(Acceptance Rate: 32.08\%)},
  url={https://openreview.net/forum?id=cCRlEvjrx4},
  keywords = {Generative Models, Composition}
}

@inproceedings{ao2025cryptoface,
  title={CryptoFace: End-to-End Encrypted Face Recognition},
  author={Wei Ao and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2025},
  note = {(Acceptance Rate: 22.1\%)},
  keywords = {Face Analysis, Homomorphic Encryption},
  url={https://hal.cse.msu.edu/papers/cryptoface-end-to-end-encrypted-face-recognition/}
}

@inproceedings{morshed2025diverseflow,
  title={DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows},
  author={Mashrur M. Morshed and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2025},
  note = {(Acceptance Rate: 22.1\%)},
  keywords = {Generative Models},
  url={https://hal.cse.msu.edu/papers/diverseflow-sample-efficient-diverse-mode-coverage-in-flows/}
}

@inproceedings{wang2025cig,
  title={Generative Zero-Shot Composed Image Retrieval},
  author={Lan Wang and Wei Ao and \emph{\underline{Vishnu Naresh Boddeti}} and Ser-Nam Lim},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2025},
  note = {(Acceptance Rate: 22.1\%)},
  keywords = {Generative Models, Composition},
  url={https://lan-lw.github.io/CIG/}
}

@inproceedings{dehdashtian2025oasis,
  title={OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes},
  author={Sepehr Dehdashtian and Gautam Sreekumar and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2025},
  url={https://sepehrdehdashtian.github.io/Papers/OASIS/},
  addendum = {(Spotlight)},
  note = {(Acceptance Rate: 5.1\% for Spotlight)},
  keywords = {Auditing, Red Teaming}
}

@inproceedings{afshari2025obliviator,
  title={Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure},
  author={Ramin Akbari and Milad Afshari and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2025},
  note = {(Acceptance Rate: 24.52\%)},
  addendum = {(Ramin Akbari and Milad Afshari contributed equally)},
  keywords={AI Alignment, Fairness},
  url={https://hal.cse.msu.edu/papers/obliviator-nonlinear-guardedness-concept-erasure/}
}

@inproceedings{dehdashtian2025polyjuice,
  title={PolyJuice Makes It Real: Black-Box, Universal Red-Teaming for Synthetic Image Detectors},
  author={Sepehr Dehdashtian and Mashrur M. Morshed and Jacob H Seidman and Gaurav Bharaj and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2025},
  note = {(Acceptance Rate: 24.52\%)},
  url={https://sepehrdehdashtian.github.io/Papers/PolyJuice},
  keywords={Deepfake, Red Teaming}
}

@inproceedings{wang2025seal,
  title={SEAL: Semantic Attention Learning for Long Video Representation},
  author={Lan Wang and Yujia Chen and Du Tran and \emph{\underline{Vishnu Naresh Boddeti}} and Wen-Sheng Chu},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2025},
  addendum = {(Oral)},
  note = {(Acceptance Rate: 0.74\% for Oral)},
  url = {https://seal-lvu.github.io},
  keywords = {Efficient Architectures, Video}
}

@inproceedings{kaushik2025shielding,
  title={Shielding Latent Face Representations From Privacy Attacks},
  author={Arjun Ramesh Kaushik and Bharat Chandra Yalavarthi and Arun Ross and \emph{\underline{Vishnu Naresh Boddeti}} and Nalini Ratha},
  booktitle={IEEE International Conference on Automatic Face and Gesture Recognition (FG)},
  year={2025},
  keywords = {Secure Biometrics, Homomorphic Encryption}
}

@inproceedings{gaudi2025compositional,
  title={Compositional World Knowledge leads to High Utility Synthetic data},
  author={Sachit Gaudi and Gautam Sreekumar and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Workshop on Synthetic Data at ICLR},
  year={2025},
  keywords = {Generative Models, Composition}
}

@inproceedings{gaudi2025diffusion,
  title={Diffusion Models Do Not Implicitly Learn Conditional Independence},
  author={Sachit Gaudi and Gautam Sreekumar and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy at ICLR},
  year={2025},
  keywords = {Generative Models}
}

@inproceedings{bassit2025securerag,
  title={SecureRAG: End-to-End Secure Retrieval-Augmented Generation},
  author={Amina Bassit and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Workshop on GenAI for Health Potential, Trust, and Policy Compliance at NeurIPS},
  year={2025},
  keywords = {Homomorphic Encryption, Healthcare},
  url={https://hal.cse.msu.edu/papers/securerag-end-to-end-secure-rag/}
}

@inproceedings{gaudi2025spurious,
  title={Spurious Correlations in Diffusion Models and How to Fix Them},
  author={Sachit Gaudi and Gautam Sreekumar and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Workshop on Spurious Correlation and Shortcut Learning at ICLR},
  year={2025},
  keywords = {Spurious Correlation, Generative Models}
}

@misc{parenti2024enhanced,
  title={Enhanced sensor operation},
  author={Parenti, Robert and Siddiqui, Adil and Ghannam, Mahmoud Yousef and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2024},
  date={2024-03-12},
  howpublished={Google Patents},
  note={US Patent 11,930,302},
  url={https://patents.google.com/patent/US11930302B2/en}
}

@misc{parry2024method,
  title={Method and apparatus for authentication of a user to a server using relative movement},
  author={Parry, Beau Robertson and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2024},
  date={2024-08-27},
  howpublished={Google Patents},
  note={US Patent 12,074,869},
  url={https://patents.google.com/patent/US12074869B2/en}
}

@article{wang2024action,
  title={Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions},
  author={Lan Wang and \emph{\underline{Vishnu Naresh Boddeti}} and Sernam Lim},
  journal={arXiv:2403.07198},
  year={2024},
  url={https://arxiv.org/abs/2403.07198},
  keywords = {Generative Models, Video}
}

@article{dehdashtian2024fairnessbiasmitigationcomputer,
  title={Fairness and Bias Mitigation in Computer Vision: A Survey},
  author={Sepehr Dehdashtian and Ruozhen He and Yi Li and Guha Balakrishnan and Nuno Vasconcelos and Vicente Ordonez and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2024},
  journal={arXiv:2408.02464},
  url={https://arxiv.org/abs/2408.02464},
  keywords = {Fairness}
}

@article{li2024mechanics,
  title={Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage},
  author={Xuyang Li and Hamed Bolandi and Mahdi Masmoudi and Talal Salem and Ankush Jha and Nizar Lajnef and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={Nature Communications},
  volume={15},
  number={1},
  pages={9229},
  year={2024},
  code = {https://github.com/human-analysis/midas-shm},
  addendum = {(Editor's Highlight)},
  url = {https://arxiv.org/abs/2402.15492},
  keywords = {AI for Engineering}
}

@article{memari2024turbidity,
  title={Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote sensing},
  author={Saeed Memari and Mantha S Phanikumar and \emph{\underline{Vishnu Naresh Boddeti}} and Narendra Das},
  journal={Journal of Hydroinformatics},
  year={2024},
  keywords = {AI for Engineering}
}

@inproceedings{wei2024autofhe,
  author={Wei Ao and \emph{\underline{Vishnu Naresh Boddeti}}},
  title = {AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE},
  booktitle={USENIX Security Symposium},
  year = {2024},
  note = {(Acceptance Rate: 18.32\%)},
  url = {https://eprint.iacr.org/2023/162},
  keywords = {Homomorphic Encryption, Architecture Search}
}

@inproceedings{yalavarthi2024improved,
  title={Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption},
  author={Bharat Chandra Yalavarthi and Arjun Ramesh Kaushik and Arun Ross and \emph{\underline{Vishnu Naresh Boddeti}} and Nalini K. Ratha},
  booktitle={IEEE International Conference on Automatic Face and Gesture Recognition (FG)},
  year={2024},
  keywords = {Secure Biometrics, Homomorphic Encryption}
}

@inproceedings{dehdashtian2024fairerclip,
  title={FairerCLIP: Debiasing Zero-Shot Predictions of CLIP in RKHSs},
  author={Sepehr Dehdashtian and Lan Wang and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2024},
  note = {(Acceptance Rate: 30.8\%)},
  addendum = {(Sepehr Dehdashtian and Lan Wang contributed equally)},
  url={https://openreview.net/forum?id=HXoq9EqR9e},
  keywords = {Fairness}
}

@inproceedings{birhane2024dark,
  title={The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models},
  author={Abeba Birhane and Sepehr Dehdashtian and Vinay Prabhu and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={ACM Conference on Fairness, Accountability, and Transparency (FAccT)},
  year={2024},
  addendum = {(Abeba Birhane and Sepehr Dehdashtian contributed equally)},
  keywords = {Auditing}
}

@inproceedings{dehdashtian2024utility,
  title={Utility-Fairness Trade-Offs and How to Find Them},
  author={Sepehr Dehdashtian and Bashir Sadeghi and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2024},
  note = {(Acceptance Rate: 23.6\%)},
  keywords = {Fairness}
}

@inproceedings{dey2024colasdf,
  title={CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation},
  author={Rahul Dey and Tim Marks and Bernhard Egger and Ye Wang and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Neural Rendering Intelligence Workshop at CVPR},
  year={2024},
  keywords = {Face Analysis}
}

@inproceedings{li2024estimating,
  title={Estimating field parameters in multiphysics governing equations from scarce observations},
  author={Xuyang Li and Mahdi Masmoudi and Nizar Lajnef and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Workshop on AI4DifferentialEquations in Science at ICLR},
  year={2024},
  keywords = {AI for Engineering}
}

@inproceedings{masmoudi2024parafind,
  title={ParaFIND: Parameter Field Inference on Non-uniform Domains using Neural Network},
  author={Mahdi Masmoudi and Xuyang Li and Nizar Lajnef and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers},
  year={2024},
  keywords = {AI for Engineering}
}

@article{bolandi2023neuro,
  title={Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components},
  author={Hamed Bolandi and Gautam Sreekumar and Xuyang Li and Nizar Lajnef and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={arXiv:2301.02580},
  year={2023},
  keywords = {AI for Engineering}
}

@article{birhane2023hate,
  title={On Hate Scaling Laws For Data-Swamps},
  author={Abeba Birhane and Vinay Prabhu and Sanghyun Han and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={arXiv:2306.13141},
  year={2023},
  url = {https://arxiv.org/abs/2306.13141},
  code={https://github.com/vinayprabhu/hate_scaling},
  keywords = {Auditing}
}

@article{bao2023heat,
  title={Heat-Assisted Detection and Ranging},
  author={Fanglin Bao and Xueji Wang and Shree Hari Sureshbabu and Gautam Sreekumar and Liping Yang and Vaneet Aggarwal and \emph{\underline{Vishnu Naresh Boddeti}} and Zubin Jacob},
  journal={Nature},
  volume={619},
  number={7971},
  pages={743--748},
  year={2023},
  code = {https://github.com/FanglinBao/HADAR},
  addendum = {(Cover of Nature)},
  url = {https://www.nature.com/articles/s41586-023-06174-6},
  coverarticle = {https://www.nature.com/articles/d41586-023-02333-x},
  coverimage = {https://www.nature.com/nature/volumes/619/issues/7971},
  presscoverage = {Science|https://www.science.org/content/article/ai-brings-clarity-fuzzy-night-vision-images, Tech Xplore|https://techxplore.com/news/2023-07-ghost-busting-heat-assisted-ranging-clarity-thermal.html, Popular Science|https://www.popsci.com/technology/hadar-thermal-camera/, The Register|https://www.theregister.com/2023/07/27/hadar_night_vision_av/, New Scientist|https://www.newscientist.com/article/2384435-driverless-cars-could-get-ai-powered-heat-vision-for-nighttime-driving/, Maginative|https://www.maginative.com/article/seeing-through-darkness/, Phys.org|https://phys.org/news/2023-08-thermal-imaging-ai-pitch-darkness.html},
  keywords = {AI for Engineering}
}

@article{birhane2023into,
  title={Into the LAION's Den: Investigating hate in multimodal datasets},
  author={Abeba Birhane and Vinay Prabhu and Sanghyun Han and \emph{\underline{Vishnu Naresh Boddeti}} and Sasha Luccioni},
  journal={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2023},
  url={https://arxiv.org/abs/2311.03449},
  note = {(Acceptance Rate: 26.46\%)},
  code={https://github.com/vinayprabhu/hate_scaling},
  keywords = {Auditing}
}

@article{bolandi2023physics,
  title={Physics Informed Neural Network for Dynamic Stress Prediction},
  author={Hamed Bolandi and Gautam Sreekumar and Xuyang Li and Nizar Lajnef and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={Applied Intelligence},
  year={2023},
  url = {https://arxiv.org/abs/2211.16190},
  keywords = {AI for Engineering}
}

@article{lu2023tformer,
  title={TFormer: A Transmission-Friendly ViT Model for IoT Devices},
  author={Zhichao Lu and Chuntao Ding and Felix Juefei-Xu and \emph{\underline{Vishnu Naresh Boddeti}} and Shangguang Wang and Yun Yang},
  journal={IEEE Transactions on Parallel and Distributed Systems},
  year={2023},
  volume={34},
  number={2},
  pages={598-610},
  url = {https://arxiv.org/abs/2302.07734},
  keywords = {Efficient Architectures}
}

@article{ding2023towards,
  title={Towards transmission-friendly and robust {CNN} models over cloud and device},
  author={Chuntao Ding and Zhichao Lu and Felix Juefei-Xu and \emph{\underline{Vishnu Naresh Boddeti}} and Yidong Li and Jiannong Cao},
  journal={IEEE Transactions on Mobile Computing},
  volume={22},
  number={10},
  pages={6176--6189},
  year={2023},
  addendum = {(IEEE-CCF Cloud Computing Best Paper Award 2024)},
  url = {https://arxiv.org/abs/2207.09616},
  keywords = {Efficient Architectures}
}

@inproceedings{kelly2023discovering,
  title={Discovering Adaptable Symbolic Algorithms from Scratch},
  author={Stephen Kelly and Daniel Park and Xingyou Song and Mitchell McIntire and Pranav Nashikkar and Ritam Guha and Wolfgang Banzhaf and Kalyanmoy Deb and \emph{\underline{Vishnu Naresh Boddeti}} and Jie Tan and Esteban Real},
  booktitle={International Conference on Intelligent Robots and Systems (IROS)},
  year={2023},
  addendum = {(Oral, Best Paper Award Finalist)},
  note = {(Acceptance Rate: 12/2,760 (0.43\%) for Best Paper Award Finalist)},
  url={https://hal.cse.msu.edu/papers/auto-robotics-zero/},
  keywords = {Architecture Search}
}

@inproceedings{guha2023automlzero,
  title={MOAZ: A Multi-Objective AutoML-Zero Framework},
  author={Ritam Guha and Wei Ao and Stephen Kelly and \emph{\underline{Vishnu Naresh Boddeti}} and Erik Goodman and Wolfgang Banzhaf and Kalyanmoy Deb},
  booktitle={Genetic and Evolutionary Computation Conference (GECCO)},
  year={2023},
  note = {(Acceptance Rate: 34.7\%)},
  url={https://hal.cse.msu.edu/papers/multi-objective-automl-zero/},
  keywords = {Architecture Search}
}

@inproceedings{ding2023mitigating,
  title={Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives},
  author={Chuntao Ding and Zhichao Lu and Shangguang Wang and Ran Cheng and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  code = {https://github.com/zhichao-lu/etr-nlp-mtl},
  note = {(Acceptance Rate: 25.8\%)},
  url= {https://hal.cse.msu.edu/papers/multi-task-learning-non-learnable-task-routing/},
  keywords = {Efficient Architectures}
}

@inproceedings{boddeti2023capacity,
  title={On the Biometric Capacity of Generative Face Models},
  author={\emph{\underline{Vishnu Naresh Boddeti}} and Gautam Sreekumar and Arun Ross},
  booktitle={International Joint Conference on Biometrics (IJCB)},
  year={2023},
  note = {(Acceptance Rate: 36.2\%)},
  url={https://hal.cse.msu.edu/papers/capacity-generative-face-models/},
  keywords = {Generative Models}
}

@inproceedings{wang2023protege,
  title={ProT\'eG\'e: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding},
  author={Lan Wang and Gaurav Mittal and Sandra Sajeev and Ye Yu and Matthew Hall and \emph{\underline{Vishnu Naresh Boddeti}} and Mei Chen},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://hal.cse.msu.edu/papers/protege-untrimmed-video-temporal-grounding/},
  note = {(Acceptance Rate: 25.8\%)},
  keywords = {Video}
}

@inproceedings{huang2023revisiting,
  title={Revisiting Residual Networks for Adversarial Robustness},
  author={Huang, Shihua and Lu, Zhichao and Deb, Kalyanmoy and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2023},
  url = {https://hal.cse.msu.edu/papers/adversarial-robustness-residual-networks/},
  code = {https://github.com/zhichao-lu/robust-residual-network},
  note = {(Acceptance Rate: 25.8\%)},
  keywords = {Adversarial Robustness}
}

@inproceedings{lu2023seed,
  title={Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services},
  author={Zhichao Lu and Chuntao Ding and Shangguang Wang and Felix Juefei-Xu and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE International Conference on Web Services (ICWS)},
  year={2023},
  note = {(Acceptance Rate: N/A)},
  url={https://hal.cse.msu.edu/papers/seed-feature-map-leo-satellite-remote-sensing/},
  keywords = {Efficient Architectures}
}

@inproceedings{sharma2023fully,
  title={Fully Homomorphic Encryption Operators for Score and Decision Fusion in Biometric Identification},
  author={Tilak Sharma and Mahika Wason and \emph{\underline{Vishnu Naresh Boddeti}} and Arun Ross and Nalini Ratha},
  booktitle={IEEE International Workshop on Information Forensics and Security (WIFS)},
  note = {(Acceptance Rate: N/A)},
  year={2023},
  keywords = {Secure Biometrics, Homomorphic Encryption}
}

@inproceedings{sreekumar2023spurious,
  title={Spurious Correlations and Where to Find Them},
  author={Gautam Sreekumar and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={The Second Workshop on Spurious Correlations, Invariance and Stability at ICML},
  year={2023},
  url={https://arxiv.org/abs/2308.11043},
  keywords = {Spurious Correlation}
}

@misc{parenti2022enhanced,
  title={Enhanced sensor operation},
  author={Parenti, Robert and Siddiqui, Adil and Ghannam, Mahmoud Yousef and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2022},
  date={2022-08-11},
  howpublished={Google Patents},
  note={US Patent App. 17/171,352}
}

@misc{parry2022method1,
  title={Method and apparatus for authentication of a user to a server using relative movement},
  author={Parry, Beau Robertson and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2022},
  date={2022-02-08},
  howpublished={Google Patents},
  note={US Patent 11,245,693}
}

@misc{parry2022method2,
  title={Method and apparatus for authentication of a user to a server using relative movement},
  author={Parry, Beau Robertson and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2022},
  date={2022-06-30},
  howpublished={Google Patents},
  note={US Patent App. 17/571,358}
}

@article{bolandi2022bridging,
  title={Bridging Finite Element and Deep Learning: High-Resolution Stress Distribution Prediction in Structural Components},
  author={Hamed Bolandi and Xuyang Li and Talal Salem and \emph{\underline{Vishnu Naresh Boddeti}} and Nizar Lajnef},
  journal={Frontiers of Structural and Civil Engineering},
  year={2022},
  keywords = {AI for Engineering}
}

@article{bolandi2022deep,
  title={Deep learning paradigm for prediction of stress distribution in damaged structural components with stress concentrations},
  author={Hamed Bolandi and Xuyang Li and Talal Salem and \emph{\underline{Vishnu Naresh Boddeti}} and Nizar Lajnef},
  journal={Advances in Engineering Software},
  volume={173},
  pages={103240},
  year={2022},
  url = {https://doi.org/10.1016/j.advengsoft.2022.103240},
  keywords = {AI for Engineering}
}

@article{engelsma2022hers,
  title={{HERS}: Homomorphically encrypted representation search},
  author={Engelsma, Joshua J and Jain, Anil K and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={IEEE Transactions on Biometrics, Behavior, and Identity Science},
  volume={4},
  number={3},
  pages={349-360},
  year={2022},
  url = {https://arxiv.org/abs/2003.12197},
  code = {https://github.com/human-analysis/encrypted-image-search},
  addendum = {(TBIOM Best Student Paper Award 2023, Trustworthy Biometrics Special Issue)},
  keywords = {Secure Biometrics, Homomorphic Encryption}
}

@article{sadeghi2022characterizing,
  title={On Characterizing the Trade-off in Invariant Representation Learning},
  author={Bashir Sadeghi and Sepehr Dehdashtian and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={Transactions on Machine Learning Research (TMLR)},
  year={2022},
  url = {https://hal.cse.msu.edu/papers/characterizing-trade-off-invariant-representation-learning/},
  addendum = {(Featured Certification, Outstanding Certification Finalist)},
  keywords = {Fairness}
}

@inproceedings{dey20223dfacefill,
  title={3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion},
  author={Dey, Rahul and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  pages={1586--1595},
  year={2022},
  url = {https://arxiv.org/abs/2110.10395},
  code = {https://github.com/human-analysis/3dfacefill},
  note = {(Acceptance Rate: 35\%)},
  keywords = {Face Analysis}
}

@inproceedings{wang2022learned,
  title={Do learned representations respect causal relationships?},
  author={Lan Wang and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={264--274},
  year={2022},
  url = {https://arxiv.org/abs/2204.00762},
  code = {https://github.com/human-analysis/causal-relations-between-representations},
  note = {(Acceptance Rate: 25\%)},
  keywords = {Causal AI}
}

@inproceedings{dey2022generating,
  title={Generating Diverse 3D Reconstructions from a Single Occluded Face Image},
  author={Dey, Rahul and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={1547--1557},
  year={2022},
  url = {https://arxiv.org/abs/2112.00879},
  code = {https://github.com/human-analysis/diverse3dface},
  note = {(Acceptance Rate: 25\%)},
  keywords = {Architecture Search}
}

@inproceedings{sperling2022heft,
  title={HEFT: Homomorphically Encrypted Fusion of Biometric Templates},
  author={Sperling, Luke and Ratha, Nalini and Ross, Arun and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={International Joint Conference on Biometrics (IJCB)},
  year={2022},
  url = {https://arxiv.org/abs/2208.07241},
  code = {https://github.com/human-analysis/encrypted-biometric-fusion},
  addendum = {(Oral, Best Student Paper Award)},
  note = {(Acceptance Rate: 15\% for Oral)},
  keywords = {Secure Biometrics, Homomorphic Encryption}
}

@inproceedings{li2022methods,
  title={Methods For The Rapid Detection Of Boundary Condition Variations in Structural Systems},
  author={Li, Xuyang and Salem, Talal and Bolandi, Hamed and \emph{\underline{Vishnu Naresh Boddeti}} and Lajnef, Nizar},
  booktitle={Conference on Smart Materials, Adaptive Structures and Intelligent Systems},
  year={2022},
  url = {http://hal.cse.msu.edu/papers/structural-systems-anomaly-detection/},
  addendum = {(Oral, Student Best Paper Award)},
  note = {(Acceptance Rate: N/A)},
  keywords = {AI for Engineering}
}

@inproceedings{li2022neuralsi,
  title={NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems},
  author={Xuyang Li and Hamed Bolandi and Talal Salem and Nizar Lajnef and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={European Conference on Computer Vision Workshops},
  year={2022},
  url = {https://arxiv.org/abs/2208.12771},
  code = {https://github.com/human-analysis/neural-structural-identification},
  note = {(Acceptance Rate: N/A)},
  keywords = {AI for Engineering}
}

@article{lu2021neural,
  title={Neural Architecture Transfer},
  author={Zhichao Lu and Gautam Sreekumar and Erik Goodman and Wolfgang Banzhaf and Kalyanmoy Deb and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={43},
  number={9},
  pages={2971-2989},
  year={2021},
  url = {https://arxiv.org/abs/2005.05859},
  code = {https://github.com/human-analysis/neural-architecture-transfer},
  addendum = {(AutoML Special Issue)},
  keywords = {Architecture Search}
}

@inproceedings{sadeghi2021adversarial,
  title={Adversarial Representation Learning With Closed-Form Solvers},
  author={Bashir Sadeghi and Lan Wang and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
  pages={731-748},
  year={2021},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2021-adversarial-representation-learning-closed-form-solvers.pdf},
  note = {(Acceptance Rate: 21\%)},
  keywords = {Fairness}
}

@inproceedings{suresh1multi,
  title={Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments},
  author={Suresh, Anirudh and Kongmanee, Jaturong and Deb, Kalyanmoy and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE Congress on Evolutionary Computation},
  pages={1601-1608},
  year={2021},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2021-multiobjective-coevolution-cooperation-competetion.pdf},
  note = {(Acceptance Rate: 60\%)},
  keywords = {Other}
}

@inproceedings{purohit2021spatially,
  title={Spatially-adaptive image restoration using distortion-guided networks},
  author={Purohit, Kuldeep and Suin, Maitreya and Rajagopalan, AN and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages={2309-2319},
  year={2021},
  url = {https://arxiv.org/abs/2108.08617},
  note = {(Acceptance Rate: 26\%)},
  keywords = {Efficient Architectures}
}

@inproceedings{suresh2021towards,
  title={Towards Multi-objective Co-evolutionary Problem Solving},
  author={Anirudh Suresh and Kalyanmoy Deb and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Evolutionary Multi-Criterion Optimization},
  pages={139-151},
  year={2021},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2021-emo-coevolution.pdf},
  note = {(Acceptance Rate: 51\%)},
  keywords = {Other}
}

@misc{parry2020method,
  title={Method and apparatus for authentication of a user to a server using relative movement},
  author={Parry, Beau Robertson and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2020},
  date={2020-02-18},
  howpublished={Google Patents},
  note={US Patent 10,565,362}
}

@article{lu2020muti,
  title={Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks},
  author={Zhichao Lu and Ian Whalen and Yashesh Dhebar and Kalyanmoy Deb and Erik Goodman and Wolfgang Banzhaf and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={IEEE Transactions on Evolutionary Computation},
  volume={25},
  number={2},
  pages={277-291},
  year={2020},
  url = {https://arxiv.org/abs/1912.01369},
  code = {https://github.com/ianwhale/nsga-net.git},
  keywords = {Architecture Search}
}

@inproceedings{lu2020muxconv,
  title={MUXConv: Information Multiplexing in Convolutional Neural Networks},
  author={Zhichao Lu and Kalyanmoy Deb and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={12044-12053},
  year={2020},
  url = {https://arxiv.org/abs/2003.13880},
  code = {https://github.com/human-analysis/MUXConv},
  note = {(Acceptance Rate: 22.1\%)},
  keywords = {Efficient Architectures, Architecture Search}
}

@inproceedings{ijcai2020-659,
  title     = {NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract)},
  author    = {Zhichao Lu and Ian Whalen and Yashesh Dhebar and Kalyanmoy Deb and Erik Goodman and Wolfgang Banzhaf and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
  pages={4750-4754},
  year      = {2020},
  keywords = {Architecture Search}
}

@inproceedings{lu2020nsganetv2,
  title={NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search},
  author={Zhichao Lu and Kalyanmoy Deb and Erik Goodman and Wolfgang Banzhaf and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={European Conference on Computer Vision (ECCV)},
  pages={35-51},
  year={2020},
  url = {https://arxiv.org/abs/2007.10396},
  code = {https://github.com/mikelzc1990/nsganetv2},
  addendum = {(Oral)},
  note = {(Acceptance Rate: 2\% for oral)},
  keywords = {Architecture Search}
}

@inproceedings{sadeghi2020adversarial,
  title={Adversarial Representation Learning With Closed-Form Solvers},
  author={Bashir Sadeghi and Lan Wang and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2020},
  note = {(Acceptance Rate: N/A)},
  keywords = {Fairness}
}

@inproceedings{sadeghi2020imparting,
  title={Imparting fairness to pre-trained biased representations},
  author={Sadeghi, Bashir and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  pages={16-17},
  year={2020},
  note = {(Acceptance Rate: N/A)},
  keywords = {Fairness}
}

@article{yu2019constrained,
  title={Constrained Sampling: Optimum Reconstruction in Subspace with Minimax Regret Constraint},
  author={Sadeghi, Bashir and Yu, Runyi and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal={IEEE Transactions on Signal Processing},
  volume={67},
  number={16},
  pages={4218-4230},
  year={2019},
  url = {https://arxiv.org/abs/1812.07776},
  keywords = {Other}
}

@inproceedings{roy2019mitigating,
  title={Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach},
  author={Roy, Proteek Chandan and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={2586-2594},
  year={2019},
  url = {https://arxiv.org/abs/1904.05514},
  code = {https://github.com/human-analysis/MaxEnt-ARL},
  addendum = {(Oral)},
  note = {(Acceptance Rate: 5.58\% for oral)},
  keywords = {Fairness}
}

@inproceedings{lu2019nsga,
  title={NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search},
  author={Zhichao Lu and Ian Whalen and \emph{\underline{Vishnu Naresh Boddeti}} and Yashesh Dhebar and Kalyanmoy Deb and Erik Goodman and Wolfgang Banzhaf},
  booktitle={Genetic and Evolutionary Computation Conference (GECCO)},
  pages={419-427},
  year={2019},
  url = {https://arxiv.org/abs/1810.03522},
  code = {https://github.com/ianwhale/nsga-net.git},
  addendum = {(Oral, EML Best Paper Award)},
  note = {(Acceptance Rate: 35\%)},
  keywords = {Architecture Search}
}

@inproceedings{sadeghi2019global,
  title={ On the Global Optima of Kernelized Adversarial Representation Learning },
  author={ Bashir Sadeghi and Runyi Yu and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages={7971-7979},
  year={2019},
  url = {https://arxiv.org/abs/1910.07423},
  code = {https://github.com/human-analysis/Kernel-ARL},
  note = {(Acceptance Rate: 25\%)},
  keywords = {Fairness}
}

@inproceedings{gong2019intrinsic,
  title={On the Intrinsic Dimensionality of Image Representations},
  author={Gong, Sixue and \emph{\underline{Vishnu Naresh Boddeti}} and Jain, Anil K},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={3987-3996},
  year={2019},
  url = {https://arxiv.org/abs/1803.09672},
  code = {https://github.com/human-analysis/intrinsic-dimensionality},
  note = {(Acceptance Rate: 25\%)},
  keywords = {Computer Vision}
}

@misc{parry2018method,
  title={Method and apparatus for authentication of a user to a server using relative movement},
  author={Parry, Beau Robertson and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2018},
  date={2018-08-14},
  howpublished={Google Patents},
  note={US Patent 10,049,203}
}

@incollection{smereka2018stacked,
  author      = "Jonathon M. Smereka and \emph{\underline{Vishnu Naresh Boddeti}} and B. V. K. Vijaya Kumar",
  title       = "Stacked Correlation Filters",
  editor      = "Mayank Vatsa and Richa Singh and Angshul Majumdar",
  booktitle   = "Deep Learning in Biometrics",
  publisher   = "CRC Press",
  year        = {2018},
  pages       = "175-195",
  chapter     = 08,
  keywords = {Correlation Filters}
}

@article{hattori2018synthesizing,
  title={Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance},
  author={Hattori, Hironori and Lee, Namhoon and \emph{\underline{Vishnu Naresh Boddeti}} and Beainy, Fares and Kitani, Kris M and Kanade, Takeo},
  journal={International Journal of Computer Vision (IJCV)},
  volume={126},
  number={9},
  pages={1027-1044},
  year={2018},
  url = {https://link.springer.com/article/10.1007/s11263-018-1077-3},
  keywords = {Computer Vision}
}

@inproceedings{yoo2018efficient,
  title={Efficient K-Shot Learning with Regularized Deep Networks},
  author={Yoo, Donghyun and Fan, Haoqi and \emph{\underline{Vishnu Naresh Boddeti}} and Kitani, Kris M},
  booktitle={AAAI Conference on Artificial Intelligence (AAAI)},
  pages={4382--4389},
  year={2018},
  url = {https://arxiv.org/abs/1710.02277},
  note = {(Acceptance Rate: 24.6\%)},
  keywords = {Computer Vision}
}

@inproceedings{juefei2018perturbative,
  title={Perturbative Neural Networks},
  author={Juefei-Xu, Felix and \emph{\underline{Vishnu Naresh Boddeti}} and Savvides, Marios},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={3310-3318},
  year={2018},
  url = {https://arxiv.org/abs/1806.01817},
  code = {https://github.com/juefeix/pnn.pytorch.update},
  note = {(Acceptance Rate: 29.1\%)},
  keywords = {Efficient Architectures}
}

@inproceedings{dey2018rankgan,
  title={RankGAN: A Maximum Margin Ranking GAN for Generating Faces},
  author={Rahul Dey and Felix Juefei-Xu and \emph{\underline{Vishnu Naresh Boddeti}} and Marios Savvides},
  booktitle={Asian Conference on Computer Vision (ACCV)},
  pages={3-18},
  year={2018},
  url = {https://arxiv.org/abs/1812.08196},
  code = {https://github.com/human-analysis/RankGAN},
  addendum = {(Oral, Best Student Paper Award)},
  note = {(Acceptance Rate: 25\%)},
  keywords = {Generative Models}
}

@inproceedings{boddeti2018secure,
  title={Secure Face Matching Using Fully Homomorphic Encryption},
  author={\emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS)},
  pages={1-10},
  year={2018},
  url = {https://arxiv.org/abs/1805.00577},
  code = {https://github.com/human-analysis/secure-face-matching},
  addendum = {(Oral)},
  note = {(Acceptance Rate: 36\%)},
  keywords = {Secure Biometrics, Homomorphic Encryption}
}

@misc{parry2017authentication,
  title={Authentication method using liveness verification},
  author={Parry, Beau Robertson and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2017},
  date={2017-03-21},
  howpublished={Google Patents},
  note={US Patent 9,600,649}
}

@misc{parry2017authenticationmovement,
  title={Authentication method using relative movement},
  author={Parry, Beau Robertson and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2017},
  date={2017-08-22},
  howpublished={Google Patents},
  note={US Patent 9,740,848},
  url={https://patents.google.com/patent/US9740848B2/en}
}

@article{pal2017emergence,
  title={Emergence of Selective Invariance in Hierarchical Feed Forward Networks},
  author={Pal, Dipan K and \emph{\underline{Vishnu Naresh Boddeti}} and Savvides, Marios},
  journal={arXiv:1701.08837},
  year={2017},
  url = {https://arxiv.org/abs/1701.08837},
  keywords = {Computer Vision}
}

@article{boddeti2017face,
  title={Face alignment robust to pose, expressions and occlusions},
  author={\emph{\underline{Vishnu Naresh Boddeti}} and Roh, Myung-Cheol and Shin, Jongju and Oguri, Takaharu and Kanade, Takeo},
  journal={arXiv:1707.05938},
  year={2017},
  url = {https://arxiv.org/abs/1707.05938},
  keywords = {Face Analysis}
}

@article{gong2017capacity,
  title={On the Capacity of Face Representation},
  author={Gong, Sixue and \emph{\underline{Vishnu Naresh Boddeti}} and Jain, Anil K},
  journal={arXiv:1709.10433},
  year={2017},
  url = {https://arxiv.org/abs/1709.10433},
  keywords = {Computer Vision}
}

@inproceedings{juefei2017local,
  title={Local Binary Convolutional Neural Networks},
  author={Juefei-Xu, Felix and \emph{\underline{Vishnu Naresh Boddeti}} and Savvides, Marios},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={19-28},
  year={2017},
  url = {https://arxiv.org/abs/1608.06049},
  code = {https://github.com/juefeix/lbcnn.torch},
  addendum = {(Spotlight Oral)},
  note = {(Acceptance Rate: 5.3\% for spotlight oral)},
  keywords = {Efficient Architectures}
}

@inproceedings{yonetani2017privacy,
  title={Privacy-preserving visual learning using doubly permuted homomorphic encryption},
  author={Yonetani, Ryo and \emph{\underline{Vishnu Naresh Boddeti}} and Kitani, Kris M and Sato, Yoichi},
  booktitle={IEEE International Conference on Computer Vision (ICCV)},
  pages={2040-2050},
  year={2017},
  url = {https://arxiv.org/abs/1704.02203},
  code = {https://github.com/yonetaniryo/DPHE-demo},
  note = {(Acceptance Rate: 28.9\%)},
  keywords = {Computer Vision, Homomorphic Encryption}
}

@inproceedings{funakoshi2017video,
  title={Video segmentation and stabilization for BallCam},
  author={Ryohei Funakoshi and \emph{\underline{Vishnu Naresh Boddeti}} and Kris Kitani and Hideki Koike},
  booktitle={Augmented Human International Conference},
  pages={1-2},
  year={2017},
  organization={ACM},
  note = {(Acceptance Rate: 54\%)},
  keywords = {Computer Vision}
}

@incollection{kumar2016application,
  author      = {Kumar, BVK Vijaya and Thornton, Jason and Savvides, Marios and \emph{\underline{Vishnu Naresh Boddeti}} and Smereka, Jonathon M},
  title       = "Application of correlation filters for iris recognition",
  editor      = "Kevin Bowyer and Mark Burge",
  booktitle   = "Handbook of Iris Recognition",
  publisher   = "Springer",
  year        = {2016},
  pages       = {211--228},
  keywords={Correlation Filters}
}

@article{zhang2016gesture,
  title={Gesture-based Bootstrapping for Egocentric Hand Segmentation},
  author={Zhang, Yubo and \emph{\underline{Vishnu Naresh Boddeti}} and Kitani, Kris M},
  journal={arXiv:1612.02889},
  year={2016},
  url = {https://arxiv.org/abs/1612.02889},
  keywords = {Computer Vision}
}

@article{shen2016teacher,
  title={In Teacher We Trust: Learning Compressed Models for Pedestrian Detection},
  author={Shen, Jonathan and Vesdapunt, Noranart and \emph{\underline{Vishnu Naresh Boddeti}} and Kitani, Kris M},
  journal={arXiv:1612.00478},
  year={2016},
  url = {https://arxiv.org/abs/1612.00478},
  keywords = {Computer Vision}
}

@inproceedings{funakoshi2016activity,
  title={Activity-Aware Video Stabilization for BallCam},
  author={Funakoshi, Ryohei and \emph{\underline{Vishnu Naresh Boddeti}} and Kitani, Kris and Koike, Hideki},
  booktitle={Annual Symposium on User Interface Software and Technology (UIST)},
  pages={197--198},
  year={2016},
  organization={ACM},
  note = {(Acceptance Rate: 20.6\%)},
  keywords = {Computer Vision}
}

@inproceedings{smereka2016stacked,
  title={Stacked correlation filters for biometric verification},
  author={Smereka, Jonathon M and \emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya and Rodriguez, Andres},
  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={2104--2108},
  year={2016},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2016-icassp-stacked-correlation-filters.pdf},
  note = {(Acceptance Rate: 47\%)},
  keywords={Correlation Filters}
}

@misc{parry2015systems2,
  title={Systems, methods and apparatus for multivariate authentication},
  author={Parry, Beau Robertson and \emph{\underline{Vishnu Naresh Boddeti}}},
  year={2015},
  date={2015-09-15},
  howpublished={Google Patents},
  note={US Patent 9,137,246}
}

@misc{parry2015systems1,
  title={Systems, methods and apparatus for multivariate authentication},
  author={Parry, Beau Robertson and \emph{\underline{Vishnu Naresh Boddeti}} and Parupati, Srikanth},
  year={2015},
  date={2015-02-03},
  howpublished={Google Patents},
  note={US Patent 8,949,619}
}

@article{smereka2015probabilistic,
  title={Probabilistic deformation models for challenging periocular image verification},
  author={Smereka, Jonathon M and \emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya},
  journal={IEEE Transactions on Information Forensics and Security (TIFS)},
  volume={10},
  number={9},
  pages={1875--1890},
  year={2015},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2015-tifs-pdm.pdf},
  code = {https://github.com/jsmereka/PatchBasedCorrelation},
  keywords={Correlation Filters}
}

@article{fernandez2015zero,
  title={Zero-aliasing correlation filters for object recognition},
  author={Fernandez, Joseph A and \emph{\underline{Vishnu Naresh Boddeti}} and Rodriguez, Andres and Kumar, BVK Vijaya},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  volume={37},
  number={8},
  pages={1702--1715},
  year={2015},
  url = {https://arxiv.org/abs/1411.2316},
  code = {https://github.com/vboddeti/CorrelationFilters},
  keywords={Correlation Filters}
}

@inproceedings{zeng2015face,
  title={Face Alignment Refinement},
  author={Zeng, Andy and \emph{\underline{Vishnu Naresh Boddeti}} and Kitani, Kris M and Kanade, Takeo},
  booktitle={IEEE Winter Conference on Applications of Computer Vision (WACV)},
  pages={162--169},
  year={2015},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2015-wacv-face-alignment-refinement.pdf},
  note = {(Acceptance Rate: 36.7\%)},
  keywords={Face Analysis}
}

@inproceedings{hattori2015learning,
  title={Learning scene-specific pedestrian detectors without real data},
  author={Hattori, Hironori and Naresh Boddeti, Vishnu and Kitani, Kris M and Kanade, Takeo},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={3819--3827},
  year={2015},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2015-cvpr-synthesis.pdf},
  note = {(Acceptance Rate: 28.4\%)},
  keywords={Correlation Filters}
}

@article{boddeti2014maximum,
  title={Maximum margin vector correlation filter},
  author={\emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya},
  journal={arXiv:1404.6031},
  year={2014},
  url = {https://arxiv.org/abs/1404.6031},
  code = {https://github.com/vboddeti/CorrelationFilters},
  keywords={Correlation Filters}
}

@inproceedings{movshovitz20143d,
  title={3D Pose-by-Detection of Vehicles via Discriminatively Reduced Ensembles of Correlation Filters.},
  author={Movshovitz-Attias, Yair and \emph{\underline{Vishnu Naresh Boddeti}} and Wei, Zijun and Sheikh, Yaser},
  booktitle={British Machine Vision Conference (BMVC)},
  year={2014},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2014-bmvc-ensemble.pdf},
  note = {(Acceptance Rate: 30\%)},
  keywords={Correlation Filters}
}

@inproceedings{kumar2014recent,
  title={Recent advances in correlation filter theory and application},
  author={Kumar, BVK Vijaya and Fernandez, Joseph A and Rodriguez, Andres and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle={Optical Pattern Recognition XXV},
  volume={9094},
  year={2014},
  organization={International Society for Optics and Photonics},
  note = {(Acceptance Rate: N/A)},
  keywords={Correlation Filters}
}

@incollection{kumar2013application,
  author      = {Kumar, BVK Vijaya and \emph{\underline{Vishnu Naresh Boddeti}} and Smereka, Jonathon M and Thornton, Jason and Savvides, Marios},
  title       = "Application of Bayesian Graphical Models to Iris Recognition",
  editor      = "C.R. Rao and Venu Govindaraju",
  booktitle   = "Handbook of Statistics",
  publisher   = "Elsevier",
  year        = {2013},
  pages       = {381--398},
  keywords={Correlation Filters}
}

@incollection{jillela2013iris,
  author      = {Jillela, Raghavender and Ross, Arun A and \emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya and Hu, Xiaofei and Plemmons, Robert and Pauca, Pa{\'u}l},
  title       = "Iris segmentation for challenging periocular images",
  editor      = "Kevin Bowyer and Mark Burge",
  booktitle   = "Handbook of Iris Recognition",
  pages={281--308},
  year={2013},
  publisher={Springer},
  keywords={Other}
}

@article{boddeti2013framework,
  title={A framework for binding and retrieving class-specific information to and from image patterns using correlation filters},
  author={\emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  volume={35},
  number={9},
  pages={2064--2077},
  year={2013},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2013-pami-biometric-keybinding.pdf},
  keywords={Correlation Filters, Secure Biometrics}
}

@article{rodriguez2013maximum,
  title={Maximum margin correlation filter: A new approach for localization and classification},
  author={Rodriguez, Andres and \emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya and Mahalanobis, Abhijit},
  journal={IEEE Transactions on Image Processing (TIP)},
  volume={22},
  number={2},
  pages={631--643},
  year={2013},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2013-tip-mmcf.pdf},
  code = {https://github.com/vboddeti/CorrelationFilters},
  keywords={Correlation Filters}
}

@inproceedings{naresh2013correlation,
  title={Correlation filters for object alignment},
  author={\emph{\underline{Vishnu Naresh Boddeti}} and Kanade, Takeo and Kumar, BVK Vijaya},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={2291--2298},
  year={2013},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2013-cvpr-alignment.pdf},
  code = {https://github.com/vboddeti/CorrelationFilters},
  note = {(Acceptance Rate: 26.2\%)},
  keywords={Correlation Filters}
}

@inproceedings{siena2013maximum,
  title={Maximum-margin coupled mappings for cross-domain matching},
  author={Siena, Stephen and \emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya},
  booktitle={IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)},
  year={2013},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2013-btas-mmcm.pdf},
  addendum = {(Oral, Best Paper Award)},
  note = {(Acceptance Rate: exact number unknown, usually around 30\%)},
  keywords={Other}
}

@inproceedings{monwar2013rank,
  title={Rank information fusion for challenging ocular image recognition},
  author={Monwar, Md Maruf and Kumar, BVK Vijaya and \emph{\underline{Vishnu Naresh Boddeti}} and Smereka, Jonathon M},
  booktitle={IEEE International Conference on Cognitive Informatics \& Cognitive Computing (ICCI*CC)},
  pages={175--181},
  year={2013},
  organization={IEEE},
  note = {(Acceptance Rate: N/A)},
  keywords={Other}
}

@phdthesis{boddeti2012advances,
  title={Advances in correlation filters: vector features, structured prediction and shape alignment},
  author={Boddeti, Vishnu Naresh},
  year={2012},
  school={Carnegie Mellon University},
  keywords={Correlation Filters}
}

@inproceedings{ross2012matching,
  title={Matching highly non-ideal ocular images: An information fusion approach},
  author={Ross, Arun and Jillela, Raghavender and Smereka, Jonathon M and \emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya and Barnard, Ryan and Hu, Xiaofei and Pauca, Paul and Plemmons, Robert},
  booktitle={International Conference on Biometrics (ICB)},
  pages={446--453},
  year={2012},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2012-icb-periocular-fusion.pdf},
  addendum = {(Oral)},
  note = {(Acceptance Rate: 15\% for oral)},
  keywords={Other}
}

@inproceedings{shafer2012rainmon,
  title={Rainmon: an integrated approach to mining bursty timeseries monitoring data},
  author={Shafer, Ilari and Ren, Kai and \emph{\underline{Vishnu Naresh Boddeti}} and Abe, Yoshihisa and Ganger, Gregory R and Faloutsos, Christos},
  booktitle={ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)},
  pages={1158--1166},
  year={2012},
  organization={ACM},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2012-kdd-rainmon.pdf},
  code = {https://github.com/mrcaps/rainmon},
  addendum = {(Oral)},
  note = {(Acceptance Rate: 17.6\%)},
  keywords={Other}
}

@inproceedings{siena2012coupled,
  title={Coupled marginal fisher analysis for low-resolution face recognition},
  author={Siena, Stephen and \emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya},
  booktitle={European Conference on Computer Vision Workshop (ECCVW)},
  pages={240--249},
  year={2012},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2012-eccvw-cmfa.pdf},
  note = {(Acceptance Rate: N/A)},
  keywords={Other}
}

@inproceedings{boddeti2011comparative,
  title={A comparative evaluation of iris and ocular recognition methods on challenging ocular images},
  author={\emph{\underline{Vishnu Naresh Boddeti}} and Smereka, Jonathon M and Kumar, BVK Vijaya},
  booktitle={International Joint Conference on Biometrics (IJCB)},
  year={2011},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2011-ijcb-periocular.pdf},
  addendum = {(Oral)},
  note = {(Acceptance Rate: 10\% for oral)},
  keywords={Correlation Filters}
}

@inproceedings{boddeti2011improved,
  title={Improved iris segmentation based on local texture statistics.},
  author={\emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya and Ramkumar, Krishnan},
  booktitle={Asilomar Conference on Signals, Systems and Computers (ACSSC)},
  pages={2147--2151},
  year={2011},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2011-asilomar-segmentation.pdf},
  note = {(Acceptance Rate: N/A)},
  keywords={Other}
}

@article{boddeti2010extended,
  title={Extended-depth-of-field iris recognition using unrestored wavefront-coded imagery},
  author={\emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK Vijaya},
  journal={IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans (SMC-A)},
  volume={40},
  number={3},
  pages={495--508},
  year={2010},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2010-smca-wavefront-coding.pdf},
  keywords={Correlation Filters}
}

@inproceedings{boddeti2009biometric,
  title={A biometric key-binding and template protection framework using correlation filters},
  author={\emph{\underline{Vishnu Naresh Boddeti}} and Su, Fei and Kumar, B. V. K. Vijaya},
  booktitle={International Conference on Biometrics (ICB)},
  pages={919--929},
  year={2009},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2009-icb-biometric-keybinding.pdf},
  note = {(Acceptance Rate: exact number unknown, usually around 30\%)},
  keywords={Correlation Filters}
}

@inproceedings{boddeti2008extended,
  title={Extended depth of field iris recognition with correlation filters},
  author={\emph{\underline{Vishnu Naresh Boddeti}} and B. V. K. Vijaya Kumar},
  booktitle={IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)},
  year={2008},
  url = {http://hal.cse.msu.edu/assets/pdfs/papers/2008-btas-wavefront-coding.pdf},
  addendum = {(Oral)},
  note = {(Acceptance Rate: exact number unknown, usually around 10\% for oral)},
  keywords={Correlation Filters}
}

@mastersthesis{boddeti2007super,
    title={Super Resolution},
    author={Boddeti, Vishnu Naresh},
    year={2007},
    school={Indian Institute of Technology Madras},
    type={Bachelor's Thesis}
}