Publications

Vishnu Boddeti

Associate Professor

A list is also available online.

2024

Ao, W., & Vishnu Naresh Boddeti. (2024). AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE. In USENIX Security Symposium.
```
@inproceedings{wei2024autofhe,
  author = {Ao, Wei 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: exact number unknown, usually around 18\%)},
  link = {https://eprint.iacr.org/2023/162}
}
```
Li, X., Bolandi, H., Masmoudi, M., Salem, T., Lajnef, N., & Vishnu Naresh Boddeti. (2024). Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage. ArXiv:2402.15492.
```
@article{li2024mechanics,
  title = {Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage},
  author = {Li, Xuyang and Bolandi, Hamed and Masmoudi, Mahdi and Salem, Talal and Lajnef, Nizar and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal = {arXiv:2402.15492},
  year = {2024},
  link = {https://arxiv.org/abs/2402.15492}
}
```
Wang, L., Vishnu Naresh Boddeti, & Lim, S. (2024). Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions. ArXiv:2403.07198.
```
@article{wang2024action,
  title = {Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions},
  author = {Wang, Lan and \emph{\underline{Vishnu Naresh Boddeti}} and Lim, Sernam},
  journal = {arXiv:2403.07198},
  year = {2024},
  link = {https://arxiv.org/abs/2403.07198}
}
```
Yalavarthi, B. C., Kaushik, A. R., Ross, A., Vishnu Naresh Boddeti, & Ratha, N. K. (2024). Improving Template Protection in Face Analytics. In IEEE International Conference on Automatic Face and Gesture Recognition (FG).
```
@inproceedings{yalavarthi2024improved,
  title = {Improving Template Protection in Face Analytics},
  author = {Yalavarthi, Bharat Chandra and Kaushik, Arjun Ramesh and Ross, Arun and \emph{\underline{Vishnu Naresh Boddeti}} and Ratha, Nalini K.},
  booktitle = {IEEE International Conference on Automatic Face and Gesture Recognition (FG)},
  year = {2024}
}
```
Dey, R., Marks, T., Egger, B., Wang, Y., & Vishnu Naresh Boddeti. (2024). CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation. In Neural Rendering Intelligence Workshop at CVPR.
```
@inproceedings{dey2024colasdf,
  title = {CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation},
  author = {Dey, Rahul and Marks, Tim and Egger, Bernhard and Wang, Ye and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle = {Neural Rendering Intelligence Workshop at CVPR},
  year = {2024}
}
```
Birhane*, A., Dehdashtian*, S., Prabhu, V., & Vishnu Naresh Boddeti. (2024). The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. In ACM Conference on Fairness, Accountability, and Transparency (FAccT).
```
@inproceedings{birhane2024dark,
  title = {The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models},
  author = {Birhane*, Abeba and Dehdashtian*, Sepehr and Prabhu, Vinay and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle = {ACM Conference on Fairness, Accountability, and Transparency (FAccT)},
  year = {2024}
}
```
Dehdashtian, S., Sadeghi, B., & Vishnu Naresh Boddeti. (2024). Utility-Fairness Trade-Offs and How to Find Them. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
```
@inproceedings{dehdashtian2024utility,
  title = {Utility-Fairness Trade-Offs and How to Find Them},
  author = {Dehdashtian, Sepehr and Sadeghi, Bashir and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  note = {(Acceptance Rate: 23.6\%)}
}
```
Dehdashtian*, S., Wang*, L., & Vishnu Naresh Boddeti. (2024). FairerCLIP: Debiasing Zero-Shot Predictions of CLIP in RKHSs. In International Conference on Learning Representations (ICLR).
```
@inproceedings{dehdashtian2024fairerclip,
  title = {FairerCLIP: Debiasing Zero-Shot Predictions of CLIP in RKHSs},
  author = {Dehdashtian*, Sepehr and Wang*, Lan and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  note = {(Acceptance Rate: 30.8\%)},
  link = {https://openreview.net/forum?id=HXoq9EqR9e}
}
```
Li, X., Masmoudi, M., Lajnef, N., & Vishnu Naresh Boddeti. (2024). Estimating field parameters in multiphysics governing equations from scarce observations. Workshop on AI4DifferentialEquations in Science at ICLR.
```
@article{li2024estimating,
  title = {Estimating field parameters in multiphysics governing equations from scarce observations},
  author = {Li, Xuyang and Masmoudi, Mahdi and Lajnef, Nizar and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle = {Workshop on AI4DifferentialEquations in Science at ICLR},
  year = {2024}
}
```

2023

Lu, Z., Ding, C., Juefei-Xu, F., Vishnu Naresh Boddeti, Wang, S., & Yang, Y. (2023). TFormer: A Transmission-Friendly ViT Model for IoT Devices. IEEE Transactions on Parallel and Distributed System, 34(2), 598–610, (Impact Factor: 5.3).

@article{lu2023tformer,
  title = {TFormer: A Transmission-Friendly ViT Model for IoT Devices},
  author = {Lu, Zhichao and Ding, Chuntao and Juefei-Xu, Felix and \emph{\underline{Vishnu Naresh Boddeti}} and Wang, Shangguang and Yang, Yun},
  journal = {IEEE Transactions on Parallel and Distributed System},
  year = {2023},
  volume = {34},
  number = {2},
  pages = {598-610},
  publisher = {IEEE},
  link = {https://arxiv.org/abs/2302.07734},
  note = {(Impact Factor: 5.3)}
}

Birhane, A., Prabhu, V., Han, S., Vishnu Naresh Boddeti, & Luccioni, S. (2023). Into the LAION’s Den: Investigating Hate in Multimodal Datasets. In Advances in Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS D and B).

@inproceedings{birhane2023laion,
  title = {Into the LAION's Den: Investigating Hate in Multimodal Datasets},
  author = {Birhane, Abeba and Prabhu, Vinay and Han, Sang and \emph{\underline{Vishnu Naresh Boddeti}} and Luccioni, Sasha},
  booktitle = {Advances in Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS D and B)},
  year = {2023},
  link = {https://arxiv.org/abs/arXiv:2311.03449},
  note = {(Acceptance Rate: 26.46\%)},
  code = {https://github.com/vinayprabhu/hate_scaling}
}

Sreekumar, G., & Vishnu Naresh Boddeti. (2023). Spurious Correlations and Where to Find Them. In The Second Workshop on Spurious Correlations, Invariance and Stability at ICML.
```
@inproceedings{sreekumar2023spurious,
  title = {Spurious Correlations and Where to Find Them},
  author = {Sreekumar, Gautam and \emph{\underline{Vishnu Naresh Boddeti}}},
  booktitle = {The Second Workshop on Spurious Correlations, Invariance and Stability at ICML},
  year = {2023},
  link = {https://arxiv.org/abs/2308.11043}
}
```
Birhane, A., Prabhu, V., Han, S., & Vishnu Naresh Boddeti. (2023). On Hate Scaling Laws For Data-Swamps. ArXiv:2306.13141.
```
@article{birhane2023hate,
  title = {On Hate Scaling Laws For Data-Swamps},
  author = {Birhane, Abeba and Prabhu, Vinay and Han, Sang and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal = {arXiv:2306.13141},
  year = {2023},
  link = {https://arxiv.org/abs/2306.13141},
  code = {https://github.com/vinayprabhu/hate_scaling}
}
```
Vishnu Naresh Boddeti, Sreekumar, G., & Ross, A. (2023). On the Biometric Capacity of Generative Face Models. In International Joint Conference on Biometrics (IJCB).
```
@inproceedings{boddeti2023capacity,
  title = {On the Biometric Capacity of Generative Face Models},
  author = {\emph{\underline{Vishnu Naresh Boddeti}} and Sreekumar, Gautam and Ross, Arun},
  booktitle = {International Joint Conference on Biometrics (IJCB)},
  year = {2023},
  note = {(Acceptance Rate: 36.2\%)},
  link = {https://hal.cse.msu.edu/papers/capacity-generative-face-models/}
}
```

Kelly, S., Park, D., Song, X., McIntire, M., Nashikkar, P., Guha, R., … Real, E. (2023). Discovering Adaptable Symbolic Algorithms from Scratch. In International Conference on Intelligent Robots and Systems (IROS).

(Best Paper Award Finalist)

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

Lu, Z., Ding, C., Wang, S., Juefei-Xu, F., & Vishnu Naresh Boddeti. (2023). Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. In IEEE International Conference on Web Services (ICWS).

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

Guha, R., Ao, W., Kelly, S., Vishnu Naresh Boddeti, Goodman, E., Banzhaf, W., & Deb, K. (2023). MOAZ: A Multi-Objective AutoML-Zero Framework. In Genetic and Evolutionary Computation Conference (GECCO).

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

Bao, F., Wang, X., Sureshbabu, S. H., Sreekumar, G., Yang, L., Aggarwal, V., … Jacob, Z. (2023). Heat-Assisted Detection and Ranging. Nature, 619(7971), 743–748, (Impact Factor: 64.9).

(Cover of Nature)

@article{bao2023heat,
  title = {Heat-Assisted Detection and Ranging},
  author = {Bao, Fanglin and Wang, Xueji and Sureshbabu, Shree Hari and Sreekumar, Gautam and Yang, Liping and Aggarwal, Vaneet and \emph{\underline{Vishnu Naresh Boddeti}} and Jacob, Zubin},
  journal = {Nature},
  volume = {619},
  number = {7971},
  pages = {743--748},
  year = {2023},
  publisher = {Nature Publishing Group UK London},
  code = {https://github.com/FanglinBao/HADAR},
  addendum = {(Cover of Nature)},
  note = {(Impact Factor: 64.9)},
  link = {https://hal.cse.msu.edu/papers/heat-assisted-detection-ranging/}
}

Huang, S., Lu, Z., Deb, K., & Vishnu Naresh Boddeti. (2023). Revisiting Residual Networks for Adversarial Robustness. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

@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},
  link = {https://hal.cse.msu.edu/papers/adversarial-robustness-residual-networks/},
  code = {https://github.com/zhichao-lu/robust-residual-network},
  note = {(Acceptance Rate: 25.8\%)}
}

Wang, L., Mittal, G., Sajeev, S., Yu, Y., Hall, M., Vishnu Naresh Boddeti, & Chen, M. (2023). ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Ding, C., Lu, Z., Wang, S., Cheng, R., & Vishnu Naresh Boddeti. (2023). Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

@inproceedings{ding2023towards,
  title = {Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives},
  author = {Ding, Chuntao and Lu, Zhichao and Wang, Shangguang and Cheng, Ran 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\%)},
  link = {https://hal.cse.msu.edu/papers/multi-task-learning-non-learnable-task-routing/}
}

Bolandi, H., Sreekumar, G., Li, X., Lajnef, N., & Vishnu Naresh Boddeti. (2023). Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components. ArXiv:2301.02580.
```
@article{bolandi2023neuro,
  title = {Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components},
  author = {Bolandi, Hamed and Sreekumar, Gautam and Li, Xuyang and Lajnef, Nizar and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal = {arXiv:2301.02580},
  year = {2023}
}
```
Bolandi, H., Sreekumar, G., Li, X., Lajnef, N., & Vishnu Naresh Boddeti. (2023). Physics Informed Neural Network for Dynamic Stress Prediction. Applied Intelligence, (Impact Factor: 5.3).
```
@article{bolandi2023physics,
  title = {Physics Informed Neural Network for Dynamic Stress Prediction},
  author = {Bolandi, Hamed and Sreekumar, Gautam and Li, Xuyang and Lajnef, Nizar and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal = {Applied Intelligence},
  year = {2023},
  note = {(Impact Factor: 5.3)},
  link = {https://arxiv.org/abs/2211.16190}
}
```
Sharma, T., Wason, M., Vishnu Naresh Boddeti, Ross, A., & Ratha, N. (2023). Fully Homomorphic Encryption Operators for Score and Decision Fusion in Biometric Identification. In IEEE International Workshop on Information Forensics and Safety (WIFS).
```
@inproceedings{sharma2023fully,
  title = {Fully Homomorphic Encryption Operators for Score and Decision Fusion in Biometric Identification},
  author = {Sharma, Tilak and Wason, Mahika and \emph{\underline{Vishnu Naresh Boddeti}} and Ross, Arun and Ratha, Nalini},
  booktitle = {IEEE International Workshop on Information Forensics and Safety (WIFS)},
  note = {(Acceptance Rate: N/A)},
  year = {2023}
}
```

2022

Engelsma, J. J., Jain, A. K., & Vishnu Naresh Boddeti. (2022). HERS: Homomorphically encrypted representation search. IEEE Transactions on Biometrics, Behavior, and Identity Science, 4(3), 349–360, (Impact Factor: N/A).

(TBIOM Best Student Paper Award 2023, Trustworthy Biometrics Special Issue)

@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},
  publisher = {IEEE},
  link = {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)},
  note = {(Impact Factor: N/A)}
}

Sperling, L., Ratha, N., Ross, A., & Vishnu Naresh Boddeti. (2022). HEFT: Homomorphically Encrypted Fusion of Biometric Templates. In International Joint Conference on Biometrics.

(Oral, Best Student Paper Award)

@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},
  year = {2022},
  link = {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)}
}

Li, X., Bolandi, H., Salem, T., Lajnef, N., & Vishnu Naresh Boddeti. (2022). NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems. In European Conference on Computer Vision Workshops.

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

Li, X., Salem, T., Bolandi, H., Vishnu Naresh Boddeti, & Lajnef, N. (2022). Methods For The Rapid Detection Of Boundary Condition Variations in Structural Systems. In Conference on Smart Materials, Adaptive Structures and Intelligent Systems.

(Oral, Student Best Paper Award)

@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},
  link = {http://hal.cse.msu.edu/papers/structural-systems-anomaly-detection/},
  addendum = {(Oral, Student Best Paper Award)},
  note = {(Acceptance Rate: N/A)}
}

Bolandi, H., Li, X., Salem, T., Vishnu Naresh Boddeti, & Lajnef, N. (2022). Deep learning paradigm for prediction of stress distribution in damaged structural components with stress concentrations. Advances in Engineering Software, 173, 103240, (Impact Factor: 4.8).
```
@article{bolandi2022deep,
  title = {Deep learning paradigm for prediction of stress distribution in damaged structural components with stress concentrations},
  author = {Bolandi, Hamed and Li, Xuyang and Salem, Talal and \emph{\underline{Vishnu Naresh Boddeti}} and Lajnef, Nizar},
  journal = {Advances in Engineering Software},
  volume = {173},
  pages = {103240},
  year = {2022},
  link = {https://doi.org/10.1016/j.advengsoft.2022.103240},
  note = {(Impact Factor: 4.8)}
}
```
Bolandi, H., Li, X., Salem, T., Vishnu Naresh Boddeti, & Lajnef, N. (2022). Bridging Finite Element and Deep Learning: High-Resolution Stress Distribution Prediction in Structural Components. Frontiers of Structural and Civil Engineering, (Impact Factor: 3.252).
```
@article{bolandi2022bridging,
  title = {Bridging Finite Element and Deep Learning: High-Resolution Stress Distribution Prediction in Structural Components},
  author = {Bolandi, Hamed and Li, Xuyang and Salem, Talal and \emph{\underline{Vishnu Naresh Boddeti}} and Lajnef, Nizar},
  journal = {Frontiers of Structural and Civil Engineering},
  year = {2022},
  note = {(Impact Factor: 3.252)}
}
```
Ding, C., Lu, Z., Juefei-Xu, F., Vishnu Naresh Boddeti, Li, Y., & Cao, J. (2022). Towards Transmission-Friendly and Robust CNN Models over Cloud and Device. IEEE Transactions on Mobile Computing, (Impact Factor: 7.9).
```
@article{ding2022towards,
  title = {Towards Transmission-Friendly and Robust CNN Models over Cloud and Device},
  author = {Ding, Chuntao and Lu, Zhichao and Juefei-Xu, Felix and \emph{\underline{Vishnu Naresh Boddeti}} and Li, Yidong and Cao, Jiannong},
  journal = {IEEE Transactions on Mobile Computing},
  year = {2022},
  publisher = {IEEE},
  link = {https://arxiv.org/abs/2207.09616},
  note = {(Impact Factor: 7.9)}
}
```

Wang, L., & Vishnu Naresh Boddeti. (2022). Do learned representations respect causal relationships? In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 264–274).

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

Dey, R., & Vishnu Naresh Boddeti. (2022). Generating Diverse 3D Reconstructions from a Single Occluded Face Image. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1547–1557).

@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},
  pages = {1547--1557},
  year = {2022},
  link = {https://arxiv.org/abs/2112.00879},
  code = {https://github.com/human-analysis/diverse3dface},
  note = {(Acceptance Rate: 25\%)}
}

Dey, R., & Vishnu Naresh Boddeti. (2022). 3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion. In IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 1586–1595).

@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},
  pages = {1586--1595},
  year = {2022},
  link = {https://arxiv.org/abs/2110.10395},
  code = {https://github.com/human-analysis/3dfacefill},
  note = {(Acceptance Rate: 35\%)}
}

Sadeghi, B., Dehdashtian, S., & Vishnu Naresh Boddeti. (2022). On Characterizing the Trade-off in Invariant Representation Learning. Transactions on Machine Learning, (Impact Factor: N/A).
(Featured Certification, Outstanding Certification Finalist)
```
@article{sadeghi2022characterizing,
  title = {On Characterizing the Trade-off in Invariant Representation Learning},
  author = {Sadeghi, Bashir and Dehdashtian, Sepehr and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal = {Transactions on Machine Learning},
  year = {2022},
  link = {https://hal.cse.msu.edu/papers/characterizing-trade-off-invariant-representation-learning/},
  addendum = {(Featured Certification, Outstanding Certification Finalist)},
  note = {(Impact Factor: N/A)}
}
```

2021

Purohit, K., Suin, M., Rajagopalan, A. N., & Vishnu Naresh Boddeti. (2021). Spatially-adaptive image restoration using distortion-guided networks. In IEEE/CVF International Conference on Computer Vision (pp. 2309–2319).
```
@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},
  pages = {2309-2319},
  year = {2021},
  link = {https://arxiv.org/abs/2108.08617},
  note = {(Acceptance Rate: 26\%)}
}
```

Sadeghi, B., Wang, L., & Vishnu Naresh Boddeti. (2021). Adversarial Representation Learning With Closed-Form Solvers. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) (pp. 731–748).

@inproceedings{sadeghi2021adversarial,
  title = {Adversarial Representation Learning With Closed-Form Solvers},
  author = {Sadeghi, Bashir and Wang, Lan 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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2021-adversarial-representation-learning-closed-form-solvers.pdf},
  note = {(Acceptance Rate: 21\%)}
}

Suresh, A., Kongmanee, J., Deb, K., & Vishnu Naresh Boddeti. (2021). Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments. In IEEE Congress on Evolutionary Computation (pp. 1601–1608).

@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2021-multiobjective-coevolution-cooperation-competetion.pdf},
  note = {(Acceptance Rate: 60\%)}
}

Lu, Z., Sreekumar, G., Goodman, E., Banzhaf, W., Deb, K., & Vishnu Naresh Boddeti. (2021). Neural Architecture Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(9), 2971–2989, (Impact Factor: 24.314).

(AutoML Special Issue)

@article{lu2021neural,
  title = {Neural Architecture Transfer},
  author = {Lu, Zhichao and Sreekumar, Gautam and Goodman, Erik and Banzhaf, Wolfgang and Deb, Kalyanmoy and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume = {43},
  number = {9},
  pages = {2971-2989},
  year = {2021},
  link = {https://arxiv.org/abs/2005.05859},
  code = {https://github.com/human-analysis/neural-architecture-transfer},
  addendum = {(AutoML Special Issue)},
  note = {(Impact Factor: 24.314)}
}

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

2020

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

Lu, Z., Deb, K., Goodman, E., Banzhaf, W., & Vishnu Naresh Boddeti. (2020). NSGANetV2:Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. In European Conference on Computer Vision (ECCV) (pp. 35–51).

(Oral)

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

Sadeghi, B., & Vishnu Naresh Boddeti. (2020). Imparting fairness to pre-trained biased representations. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 16–17).
```
@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)}
}
```
Sadeghi, B., Wang, L., & Vishnu Naresh Boddeti. (2020). Adversarial Representation Learning With Closed-Form Solvers. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
```
@inproceedings{sadeghi2020adversarial,
  title = {Adversarial Representation Learning With Closed-Form Solvers},
  author = {Sadeghi, Bashir and Wang, Lan 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)}
}
```

Lu, Z., Deb, K., & Vishnu Naresh Boddeti. (2020). MUXConv: Information Multiplexing in Convolutional Neural Networks. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 12044–12053).

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

Lu, Z., Whalen, I., Dhebar, Y., Deb, K., Goodman, E., Banzhaf, W., & Vishnu Naresh Boddeti. (2020). Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. IEEE Transactions on Evolutionary Computation, 25(2), 277–291, (Impact Factor: 16.497).

@article{lu2020muti,
  title = {Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks},
  author = {Lu, Zhichao and Whalen, Ian and Dhebar, Yashesh and Deb, Kalyanmoy and Goodman, Erik and Banzhaf, Wolfgang and \emph{\underline{Vishnu Naresh Boddeti}}},
  journal = {IEEE Transactions on Evolutionary Computation},
  volume = {25},
  number = {2},
  pages = {277-291},
  year = {2020},
  link = {https://arxiv.org/abs/1912.01369},
  code = {https://github.com/ianwhale/nsga-net.git},
  note = {(Impact Factor: 16.497)}
}

2019

Sadeghi, B., Yu, R., & Vishnu Naresh Boddeti. (2019). On the Global Optima of Kernelized Adversarial Representation Learning . In IEEE Conference on Computer Vision (ICCV) (pp. 7971–7979).

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

Lu, Z., Whalen, I., Vishnu Naresh Boddeti, Dhebar, Y., Deb, K., Goodman, E., & Banzhaf, W. (2019). NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. In Genetic and Evolutionary Computation Conference (GECCO) (pp. 419–427).

(Oral, EML Best Paper Award)

@inproceedings{lu2018nsga,
  title = {NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search},
  author = {Lu, Zhichao and Whalen, Ian and \emph{\underline{Vishnu Naresh Boddeti}} and Dhebar, Yashesh and Deb, Kalyanmoy and Goodman, Erik and Banzhaf, Wolfgang},
  booktitle = {Genetic and Evolutionary Computation Conference (GECCO)},
  pages = {419-427},
  year = {2019},
  link = {https://arxiv.org/abs/1810.03522},
  code = {https://github.com/ianwhale/nsga-net.git},
  addendum = {(Oral, EML Best Paper Award)},
  note = {(Acceptance Rate: 35\%)}
}

Gong, S., Vishnu Naresh Boddeti, & Jain, A. K. (2019). On the Intrinsic Dimensionality of Image Representations. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3987–3996).

@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},
  link = {https://arxiv.org/abs/1803.09672},
  code = {https://github.com/human-analysis/intrinsic-dimensionality},
  note = {(Acceptance Rate: 25\%)}
}

Roy, P. C., & Vishnu Naresh Boddeti. (2019). Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2586–2594).

@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},
  link = {https://arxiv.org/abs/1904.05514},
  code = {https://github.com/human-analysis/MaxEnt-ARL},
  comment = {(Oral)},
  note = {(Acceptance Rate: 5.58\% for oral)}
}

Sadeghi, B., Yu, R., & Vishnu Naresh Boddeti. (2019). Constrained Sampling: Optimum Reconstruction in Subspace with Minimax Regret Constraint. IEEE Transactions on Signal Processing, 67(16), 4218–4230, (Impact Factor: 4.875).
```
@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},
  link = {https://arxiv.org/abs/1812.07776},
  note = {(Impact Factor: 4.875)}
}
```

2018

Dey, R., Juefei-Xu, F., Vishnu Naresh Boddeti, & Savvides, M. (2018). RankGAN: A Maximum Margin Ranking GAN for Generating Faces. In Asian Conference on Computer Vision (ACCV) (pp. 3–18).

(Oral, Best Student Paper Award)

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

Vishnu Naresh Boddeti. (2018). Secure Face Matching Using Fully Homomorphic Encryption. In IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS) (pp. 1–10).

(Oral)

@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},
  link = {https://arxiv.org/abs/arXiv:1805.00577},
  code = {https://github.com/human-analysis/secure-face-matching},
  addendum = {(Oral)},
  note = {(Acceptance Rate: 36\%)}
}

Juefei-Xu, F., Vishnu Naresh Boddeti, & Savvides, M. (2018). Perturbative Neural Networks. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3310–3318).

@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},
  link = {https://arxiv.org/abs/1806.01817},
  code = {https://github.com/juefeix/pnn.pytorch.update},
  note = {(Acceptance Rate: 29.1\%)}
}

Yoo, D., Fan, H., Vishnu Naresh Boddeti, & Kitani, K. M. (2018). Efficient K-Shot Learning with Regularized Deep Networks. In AAAI Conference on Artificial Intelligence (AAAI) (pp. 4382–4389).
```
@inproceedings{yoo2017efficient,
  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},
  link = {https://arxiv.org/abs/arXiv:1710.02277},
  note = {(Acceptance Rate: 24.6\%)}
}
```

Hattori, H., Lee, N., Vishnu Naresh Boddeti, Beainy, F., Kitani, K. M., & Kanade, T. (2018). Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance. International Journal of Computer Vision (IJCV), 126(9), 1027–1044, (Impact Factor: 13.369).

@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},
  link = {https://link.springer.com/article/10.1007/s11263-018-1077-3},
  note = {(Impact Factor: 13.369)}
}

Smereka, J. M., Vishnu Naresh Boddeti, & Kumar, B. V. K. V. (2018). Stacked Correlation Filters. In M. Vatsa, R. Singh, & A. Majumdar (Eds.), Deep Learning in Biometrics (pp. 175–195). CRC Press.
```
@incollection{smereka2018stacked,
  author = {Smereka, Jonathon M. and \emph{\underline{Vishnu Naresh Boddeti}} and Kumar, B. V. K. Vijaya},
  title = {Stacked Correlation Filters},
  editor = {Vatsa, Mayank and Singh, Richa and Majumdar, Angshul},
  booktitle = {Deep Learning in Biometrics},
  publisher = {CRC Press},
  year = {2018},
  pages = {175-195},
  chapter = {08}
}
```

2017

Gong, S., Vishnu Naresh Boddeti, & Jain, A. K. (2017). On the Capacity of Face Representation. ArXiv:1709.10433.
```
@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},
  link = {https://arxiv.org/abs/arXiv:1709.10433}
}
```
Vishnu Naresh Boddeti, Roh, M.-C., Shin, J., Oguri, T., & Kanade, T. (2017). Face alignment robust to pose, expressions and occlusions. ArXiv:1707.05938.
```
@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},
  link = {https://arxiv.org/abs/1707.05938}
}
```
Pal, D. K., Vishnu Naresh Boddeti, & Savvides, M. (2017). Emergence of Selective Invariance in Hierarchical Feed Forward Networks. ArXiv:1701.08837.
```
@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},
  link = {https://arxiv.org/abs/1701.08837}
}
```
Funakoshi, R., Vishnu Naresh Boddeti, Kitani, K., & Koike, H. (2017). Video segmentation and stabilization for BallCam. In Augmented Human International Conference (pp. 1–2). ACM.
```
@inproceedings{funakoshi2017video,
  title = {Video segmentation and stabilization for BallCam},
  author = {Funakoshi, Ryohei and \emph{\underline{Vishnu Naresh Boddeti}} and Kitani, Kris and Koike, Hideki},
  booktitle = {Augmented Human International Conference},
  pages = {1-2},
  year = {2017},
  organization = {ACM},
  note = {(Acceptance Rate: 54\%)}
}
```

Yonetani, R., Vishnu Naresh Boddeti, Kitani, K. M., & Sato, Y. (2017). Privacy-preserving visual learning using doubly permuted homomorphic encryption. In IEEE International Conference on Computer Vision (ICCV) (pp. 2040–2050).

@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},
  link = {https://arxiv.org/abs/1704.02203},
  code = {https://github.com/yonetaniryo/DPHE-demo},
  note = {(Acceptance Rate: 28.9\%)}
}

Juefei-Xu, F., Vishnu Naresh Boddeti, & Savvides, M. (2017). Local Binary Convolutional Neural Networks. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 19–28).

(Spotlight Oral)

@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},
  link = {https://arxiv.org/abs/1608.06049},
  code = {https://github.com/juefeix/lbcnn.torch},
  addendum = {(Spotlight Oral)},
  note = {(Acceptance Rate: 5.3\% for spotlight oral)}
}

2016

Funakoshi, R., Vishnu Naresh Boddeti, Kitani, K., & Koike, H. (2016). Activity-Aware Video Stabilization for BallCam. In Annual Symposium on User Interface Software and Technology (UIST) (pp. 197–198). ACM.
```
@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\%)}
}
```
Zhang, Y., Vishnu Naresh Boddeti, & Kitani, K. M. (2016). Gesture-based Bootstrapping for Egocentric Hand Segmentation. ArXiv:1612.02889.
```
@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},
  link = {https://arxiv.org/abs/1612.02889}
}
```
Shen, J., Vesdapunt, N., Vishnu Naresh Boddeti, & Kitani, K. M. (2016). In Teacher We Trust: Learning Compressed Models for Pedestrian Detection. ArXiv:1612.00478.
```
@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},
  link = {https://arxiv.org/abs/1612.00478}
}
```

Smereka, J. M., Vishnu Naresh Boddeti, Kumar, B. V. K. V., & Rodriguez, A. (2016). Stacked correlation filters for biometric verification. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2104–2108).

@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2016-icassp-stacked-correlation-filters.pdf},
  note = {(Acceptance Rate: 47\%)}
}

Kumar, B. V. K. V., Thornton, J., Savvides, M., Vishnu Naresh Boddeti, & Smereka, J. M. (2016). Application of correlation filters for iris recognition. In K. Bowyer & M. Burge (Eds.), Handbook of Iris Recognition (pp. 211–228). Springer.
```
@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 = {Bowyer, Kevin and Burge, Mark},
  booktitle = {Handbook of Iris Recognition},
  publisher = {Springer},
  year = {2016},
  pages = {211--228}
}
```

2015

Smereka, J. M., Vishnu Naresh Boddeti, & Kumar, B. V. K. V. (2015). Probabilistic deformation models for challenging periocular image verification. IEEE Transactions on Information Forensics and Security (TIFS), 10(9), 1875–1890, (Impact Factor: 7.231).

@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2015-tifs-pdm.pdf},
  code = {https://github.com/jsmereka/PatchBasedCorrelation},
  note = {(Impact Factor: 7.231)}
}

Fernandez, J. A., Vishnu Naresh Boddeti, Rodriguez, A., & Kumar, B. V. K. V. (2015). Zero-aliasing correlation filters for object recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 37(8), 1702–1715, (Impact Factor: 24.314).

@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},
  link = {https://arxiv.org/abs/1411.2316},
  code = {https://github.com/vboddeti/CorrelationFilters},
  note = {(Impact Factor: 24.314)}
}

Hattori, H., Naresh Boddeti, V., Kitani, K. M., & Kanade, T. (2015). Learning scene-specific pedestrian detectors without real data. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3819–3827).
```
@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2015-cvpr-synthesis.pdf},
  note = {(Acceptance Rate: 28.4\%)}
}
```

Zeng, A., Vishnu Naresh Boddeti, Kitani, K. M., & Kanade, T. (2015). Face Alignment Refinement. In IEEE Winter Conference on Applications of Computer Vision (WACV) (pp. 162–169).

@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2015-wacv-face-alignment-refinement.pdf},
  note = {(Acceptance Rate: 36.7\%)}
}

2014

Kumar, B. V. K. V., Fernandez, J. A., Rodriguez, A., & Vishnu Naresh Boddeti. (2014). Recent advances in correlation filter theory and application. In Optical Pattern Recognition XXV (Vol. 9094). International Society for Optics and Photonics.
```
@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)}
}
```
Movshovitz-Attias, Y., Vishnu Naresh Boddeti, Wei, Z., & Sheikh, Y. (2014). 3D Pose-by-Detection of Vehicles via Discriminatively Reduced Ensembles of Correlation Filters. In British Machine Vision Conference (BMVC).
```
@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2014-bmvc-ensemble.pdf},
  note = {(Acceptance Rate: 30\%)}
}
```
Vishnu Naresh Boddeti, & Kumar, B. V. K. (2014). Maximum margin vector correlation filter. ArXiv:1404.6031.
```
@article{boddeti2014maximum,
  title = {Maximum margin vector correlation filter},
  author = {\emph{\underline{Vishnu Naresh Boddeti}} and Kumar, BVK},
  journal = {arXiv:1404.6031},
  year = {2014},
  link = {https://arxiv.org/abs/1404.6031},
  code = {https://github.com/vboddeti/CorrelationFilters}
}
```

2013

Kumar, B. V. K. V., Vishnu Naresh Boddeti, Smereka, J. M., Thornton, J., & Savvides, M. (2013). Application of Bayesian Graphical Models to Iris Recognition. In C. R. Rao & V. Govindaraju (Eds.), Handbook of Statistics (pp. 381–398). Elsevier.
```
@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 = {Rao, C.R. and Govindaraju, Venu},
  booktitle = {Handbook of Statistics},
  publisher = {Elsevier},
  year = {2013},
  pages = {381--398}
}
```
Jillela, R., Ross, A. A., Vishnu Naresh Boddeti, Kumar, B. V. K. V., Hu, X., Plemmons, R., & Pauca, P. (2013). Iris segmentation for challenging periocular images. In K. Bowyer & M. Burge (Eds.), Handbook of Iris Recognition (pp. 281–308). Springer.
```
@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 = {Bowyer, Kevin and Burge, Mark},
  booktitle = {Handbook of Iris Recognition},
  pages = {281--308},
  year = {2013},
  publisher = {Springer}
}
```

Siena, S., Vishnu Naresh Boddeti, & Kumar, B. V. K. V. (2013). Maximum-margin coupled mappings for cross-domain matching. In IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).

(Oral, Best Paper Award)

@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},
  link = {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\%)}
}

Vishnu Naresh Boddeti, & Kumar, B. V. K. V. (2013). A framework for binding and retrieving class-specific information to and from image patterns using correlation filters. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 35(9), 2064–2077, (Impact Factor: 24.314).
```
@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2013-pami-biometric-keybinding.pdf},
  note = {(Impact Factor: 24.314)}
}
```

Vishnu Naresh Boddeti, Kanade, T., & Vijaya Kumar, B. V. K. (2013). Correlation filters for object alignment. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2291–2298).

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

Rodriguez, A., Vishnu Naresh Boddeti, Kumar, B. V. K. V., & Mahalanobis, A. (2013). Maximum margin correlation filter: A new approach for localization and classification. IEEE Transactions on Image Processing (TIP), 22(2), 631–643, (Impact Factor: 11.041).

@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2013-tip-mmcf.pdf},
  code = {https://github.com/vboddeti/CorrelationFilters},
  note = {(Impact Factor: 11.041)}
}

Monwar, M. M., Vijayakumar, B. V. K., Vishnu Naresh Boddeti, & Smereka, J. M. (2013). Rank information fusion for challenging ocular image recognition. In IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) (pp. 175–181). IEEE.
```
@inproceedings{monwar2013rank,
  title = {Rank information fusion for challenging ocular image recognition},
  author = {Monwar, Md Maruf and Vijayakumar, BVK 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)}
}
```

2012

Siena, S., Vishnu Naresh Boddeti, & Kumar, B. V. K. V. (2012). Coupled marginal fisher analysis for low-resolution face recognition. In European Conference on Computer Vision Workshop (ECCVW) (pp. 240–249).
```
@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2012-eccvw-cmfa.pdf},
  note = {(Acceptance Rate: N/A)}
}
```

Shafer, I., Ren, K., Vishnu Naresh Boddeti, Abe, Y., Ganger, G. R., & Faloutsos, C. (2012). Rainmon: an integrated approach to mining bursty timeseries monitoring data. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) (pp. 1158–1166). ACM.

@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2012-kdd-rainmon.pdf},
  code = {https://github.com/mrcaps/rainmon},
  comment = {(Oral)},
  note = {(Acceptance Rate: 17.6\%)}
}

Ross, A., Jillela, R., Smereka, J. M., Vishnu Naresh Boddeti, Kumar, B. V. K. V., Barnard, R., … Plemmons, R. (2012). Matching highly non-ideal ocular images: An information fusion approach. In International Conference on Biometrics (ICB) (pp. 446–453).

(Oral)

@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2012-icb-periocular-fusion.pdf},
  addendum = {(Oral)},
  note = {(Acceptance Rate: 15\% for oral)}
}

Boddeti, V. N. (2012). Advances in correlation filters: vector features, structured prediction and shape alignment (PhD thesis). Carnegie Mellon University.
```
@phdthesis{boddeti2012advances,
  title = {Advances in correlation filters: vector features, structured prediction and shape alignment},
  author = {Boddeti, Vishnu Naresh},
  year = {2012},
  school = {Carnegie Mellon University}
}
```

Before 2012

Vishnu Naresh Boddeti, Kumar, B. V. K. V., & Ramkumar, K. (2011). Improved iris segmentation based on local texture statistics. In Asilomar Conference on Signals, Systems and Computers (ACSSC) (pp. 2147–2151).
```
@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2011-asilomar-segmentation.pdf},
  note = {(Acceptance Rate: N/A)}
}
```

Vishnu Naresh Boddeti, Smereka, J. M., & Kumar, B. V. K. V. (2011). A comparative evaluation of iris and ocular recognition methods on challenging ocular images. In International Joint Conference on Biometrics (IJCB).

(Oral)

@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2011-ijcb-periocular.pdf},
  addendum = {(Oral)},
  note = {(Acceptance Rate: 10\% for oral)}
}

Vishnu Naresh Boddeti, & Kumar, B. V. K. V. (2010). Extended-depth-of-field iris recognition using unrestored wavefront-coded imagery. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans (SMC-A), 40(3), 495–508, (Impact Factor: 11.471).
```
@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2010-smca-wavefront-coding.pdf},
  note = {(Impact Factor: 11.471)}
}
```

Vishnu Naresh Boddeti, Su, F., & Kumar, B. V. K. V. (2009). A biometric key-binding and template protection framework using correlation filters. In International Conference on Biometrics (ICB) (pp. 919–929).

@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},
  link = {http://hal.cse.msu.edu/assets/pdfs/papers/2009-icb-biometric-keybinding.pdf},
  note = {(Acceptance Rate: exact number unknown, usually around 30\%)}
}

Vishnu Naresh Boddeti, & Kumar, B. V. K. V. (2008). Extended depth of field iris recognition with correlation filters. In IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).

(Oral)

@inproceedings{boddeti2008extended,
  title = {Extended depth of field iris recognition with correlation filters},
  author = {\emph{\underline{Vishnu Naresh Boddeti}} and Kumar, B. V. K. Vijaya},
  booktitle = {IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)},
  year = {2008},
  link = {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)}
}

Boddeti, V. N. (2007). (Bachelor’s Thesis). Indian Institute of Technology Madras.
```
@mastersthesis{boddeti2007super,
  title = {},
  author = {Boddeti, Vishnu Naresh},
  year = {2007},
  school = {Indian Institute of Technology Madras},
  type = {Bachelor's Thesis}
}
```