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2020 – today
- 2024
[c54]Rahul Dey, Bernhard Egger, Vishnu Naresh Boddeti, Ye Wang, Tim K. Marks:
CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation. CVPR Workshops 2024: 2852-2861- [c53]Sepehr Dehdashtian, Bashir Sadeghi, Vishnu Naresh Boddeti:
Utility-Fairness Trade-Offs and how to Find Them. CVPR 2024: 12038-12046 - [c52]Abeba Birhane
, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti:
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. FAccT 2024: 1229-1244 - [c51]Bharat Yalavarthi, Arjun Ramesh Kaushik, Arun Ross, Vishnu Boddeti, Nalini K. Ratha:
Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption. FG 2024: 1-9 - [c50]Sepehr Dehdashtian, Lan Wang, Vishnu Boddeti:
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs. ICLR 2024 - [c49]Wei Ao, Vishnu Naresh Boddeti:
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE. USENIX Security Symposium 2024 - [i54]Xuyang Li, Hamed Bolandi, Mahdi Masmoudi, Talal Salem, Nizar Lajnef, Vishnu Naresh Boddeti:
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage. CoRR abs/2402.15492 (2024) - [i53]Lan Wang, Vishnu Boddeti, Sernam Lim:
Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions. CoRR abs/2403.07198 (2024) - [i52]Sepehr Dehdashtian, Lan Wang, Vishnu Naresh Boddeti:
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs. CoRR abs/2403.15593 (2024) - [i51]Sepehr Dehdashtian, Bashir Sadeghi, Vishnu Naresh Boddeti:
Utility-Fairness Trade-Offs and How to Find Them. CoRR abs/2404.09454 (2024) - [i50]Bharat Yalavarthi, Arjun Ramesh Kaushik, Arun Ross, Vishnu Boddeti, Nalini K. Ratha:
Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption. CoRR abs/2404.16255 (2024) - [i49]Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti:
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. CoRR abs/2405.04623 (2024) - [i48]Doga Dikbayir, Abdel Alsnayyan, Vishnu Naresh Boddeti, Balasubramaniam Shanker, Hasan Metin Aktulga:
A Deep Learning Framework for Three Dimensional Shape Reconstruction from Phaseless Acoustic Scattering Far-field Data. CoRR abs/2407.09525 (2024) - [i47]Sepehr Dehdashtian, Ruozhen He, Yi Li, Guha Balakrishnan, Nuno Vasconcelos, Vicente Ordonez, Vishnu Naresh Boddeti:
Fairness and Bias Mitigation in Computer Vision: A Survey. CoRR abs/2408.02464 (2024) - 2023
- [j16]Hamed Bolandi, Gautam Sreekumar, Xuyang Li, Nizar Lajnef, Vishnu Naresh Boddeti:
Physics informed neural network for dynamic stress prediction. Appl. Intell. 53(22): 26313-26328 (2023) - [j15]Fanglin Bao, Xueji Wang, Shree Hari Sureshbabu, Gautam Sreekumar, Liping Yang, Vaneet Aggarwal, Vishnu Naresh Boddeti, Zubin Jacob:
Heat-assisted detection and ranging. Nat. 619(7971): 743-748 (2023) - [j14]Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao:
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device. IEEE Trans. Mob. Comput. 22(10): 6176-6189 (2023) - [j13]Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang:
TFormer: A Transmission-Friendly ViT Model for IoT Devices. IEEE Trans. Parallel Distributed Syst. 34(2): 598-610 (2023) - [c48]Lan Wang, Gaurav Mittal, Sandra Sajeev, Ye Yu, Matthew Hall, Vishnu Naresh Boddeti, Mei Chen:
ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding. CVPR 2023: 6575-6585 - [c47]Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti:
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CVPR 2023: 7756-7765 - [c46]Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Revisiting Residual Networks for Adversarial Robustness. CVPR 2023: 8202-8211 - [c45]Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb:
MOAZ: A Multi-Objective AutoML-Zero Framework. GECCO 2023: 485-492 - [c44]Vishnu Naresh Boddeti, Gautam Sreekumar, Arun Ross:
On the Biometric Capacity of Generative Face Models. IJCB 2023: 1-10 - [c43]Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti:
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. ICWS 2023: 415-425 - [c42]Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real:
Discovering Adaptable Symbolic Algorithms from Scratch. IROS 2023: 3889-3896 - [c41]Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou:
International Workshop on Federated Learning for Distributed Data Mining. KDD 2023: 5861-5862 - [c40]Abeba Birhane, Vinay Uday Prabhu, Sanghyun Han, Vishnu Boddeti, Sasha Luccioni:
Into the LAION's Den: Investigating Hate in Multimodal Datasets. NeurIPS 2023 - [c39]Tilak Sharma, Mahika Wason, Vishnu Boddeti, Arun Ross, Nalini K. Ratha:
Fully Homomorphic Encryption Operators for Score and Decision Fusion in Biometric Identification. WIFS 2023: 1-6 - [i46]Hamed Bolandi, Gautam Sreekumar, Xuyang Li, Nizar Lajnef, Vishnu Naresh Boddeti:
Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components. CoRR abs/2301.02580 (2023) - [i45]Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang:
TFormer: A Transmission-Friendly ViT Model for IoT Devices. CoRR abs/2302.07734 (2023) - [i44]Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti:
On Hate Scaling Laws For Data-Swamps. CoRR abs/2306.13141 (2023) - [i43]Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real:
Discovering Adaptable Symbolic Algorithms from Scratch. CoRR abs/2307.16890 (2023) - [i42]Vishnu Naresh Boddeti, Gautam Sreekumar, Arun Ross:
On the Biometric Capacity of Generative Face Models. CoRR abs/2308.02065 (2023) - [i41]Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti:
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CoRR abs/2308.02066 (2023) - [i40]Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti:
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. CoRR abs/2308.06515 (2023) - [i39]Gautam Sreekumar, Vishnu Naresh Boddeti:
Spurious Correlations and Where to Find Them. CoRR abs/2308.11043 (2023) - [i38]Wei Ao, Vishnu Naresh Boddeti:
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE. CoRR abs/2310.08012 (2023) - [i37]Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti, Alexandra Sasha Luccioni:
Into the LAIONs Den: Investigating Hate in Multimodal Datasets. CoRR abs/2311.03449 (2023) - [i36]Wei Ao, Vishnu Boddeti:
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE. IACR Cryptol. ePrint Arch. 2023: 162 (2023) - 2022
- [j12]Hamed Bolandi, Xuyang Li, Talal Salem, Vishnu Naresh Boddeti, Nizar Lajnef:
Deep learning paradigm for prediction of stress distribution in damaged structural components with stress concentrations. Adv. Eng. Softw. 173: 103240 (2022) - [j11]Joshua J. Engelsma, Anil K. Jain, Vishnu Naresh Boddeti:
HERS: Homomorphically Encrypted Representation Search. IEEE Trans. Biom. Behav. Identity Sci. 4(3): 349-360 (2022) - [j10]Bashir Sadeghi, Sepehr Dehdashtian, Vishnu Boddeti:
On Characterizing the Trade-off in Invariant Representation Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c38]Lan Wang, Vishnu Naresh Boddeti:
Do learned representations respect causal relationships? CVPR 2022: 264-274 - [c37]Rahul Dey, Vishnu Naresh Boddeti:
Generating Diverse 3D Reconstructions from a Single Occluded Face Image. CVPR 2022: 1537-1547 - [c36]Xuyang Li, Hamed Bolandi, Talal Salem, Nizar Lajnef, Vishnu Naresh Boddeti:
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems. ECCV Workshops (7) 2022: 332-348 - [c35]Luke Sperling, Nalini K. Ratha, Arun Ross, Vishnu Naresh Boddeti:
HEFT: Homomorphically Encrypted Fusion of Biometric Templates. IJCB 2022: 1-10 - [c34]Rahul Dey, Vishnu Naresh Boddeti:
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion. WACV 2022: 1224-1233 - [i35]Lan Wang, Vishnu Naresh Boddeti:
Do learned representations respect causal relationships? CoRR abs/2204.00762 (2022) - [i34]Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao:
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device. CoRR abs/2207.09616 (2022) - [i33]Luke Sperling, Nalini K. Ratha, Arun Ross, Vishnu Naresh Boddeti:
HEFT: Homomorphically Encrypted Fusion of Biometric Templates. CoRR abs/2208.07241 (2022) - [i32]Xuyang Li, Hamed Bolandi, Talal Salem, Nizar Lajnef, Vishnu Naresh Boddeti:
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems. CoRR abs/2208.12771 (2022) - [i31]Hamed Bolandi, Gautam Sreekumar, Xuyang Li, Nizar Lajnef, Vishnu Naresh Boddeti:
Physics Informed Neural Network for Dynamic Stress Prediction. CoRR abs/2211.16190 (2022) - [i30]Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective. CoRR abs/2212.11005 (2022) - 2021
- [j9]Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2971-2989 (2021) - [j8]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 25(2): 277-291 (2021) - [c33]Anirudh Suresh, Jaturong Kongmanee, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments. CEC 2021: 1601-1608 - [c32]Anirudh Suresh, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Towards Multi-objective Co-evolutionary Problem Solving. EMO 2021: 139-151 - [c31]Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Vishnu Naresh Boddeti:
Spatially-Adaptive Image Restoration using Distortion-Guided Networks. ICCV 2021: 2289-2299 - [c30]Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti:
Adversarial Representation Learning with Closed-Form Solvers. ECML/PKDD (2) 2021: 731-748 - [i29]Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Vishnu Naresh Boddeti:
Spatially-Adaptive Image Restoration using Distortion-Guided Networks. CoRR abs/2108.08617 (2021) - [i28]Bashir Sadeghi, Vishnu Boddeti:
On the Fundamental Trade-offs in Learning Invariant Representations. CoRR abs/2109.03386 (2021) - [i27]Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti:
Adversarial Representation Learning With Closed-Form Solvers. CoRR abs/2109.05535 (2021) - [i26]Rahul Dey, Vishnu Boddeti:
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion. CoRR abs/2110.10395 (2021) - [i25]Rahul Dey, Vishnu Naresh Boddeti:
Generating Diverse 3D Reconstructions from a Single Occluded Face Image. CoRR abs/2112.00879 (2021) - 2020
- [c29]Bashir Sadeghi, Vishnu Naresh Boddeti:
Imparting Fairness to Pre-Trained Biased Representations. CVPR Workshops 2020: 75-82 - [c28]Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
MUXConv: Information Multiplexing in Convolutional Neural Networks. CVPR 2020: 12041-12050 - [c27]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. ECCV (1) 2020: 35-51 - [c26]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). IJCAI 2020: 4750-4754 - [i24]Joshua J. Engelsma, Anil K. Jain, Vishnu Naresh Boddeti:
HERS: Homomorphically Encrypted Representation Search. CoRR abs/2003.12197 (2020) - [i23]Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
MUXConv: Information Multiplexing in Convolutional Neural Networks. CoRR abs/2003.13880 (2020) - [i22]Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. CoRR abs/2005.05859 (2020) - [i21]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. CoRR abs/2007.10396 (2020)
2010 – 2019
- 2019
- [j7]Bashir Sadeghi, Runyi Yu, Vishnu Naresh Boddeti:
Constrained Sampling: Optimum Reconstruction in Subspace With Minimax Regret Constraint. IEEE Trans. Signal Process. 67(16): 4218-4230 (2019) - [c25]Proteek Chandan Roy, Vishnu Naresh Boddeti:
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach. CVPR 2019: 2586-2594 - [c24]Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain:
On the Intrinsic Dimensionality of Image Representations. CVPR 2019: 3987-3996 - [c23]Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-Net: neural architecture search using multi-objective genetic algorithm. GECCO 2019: 419-427 - [c22]Bashir Sadeghi, Runyi Yu, Vishnu Boddeti:
On the Global Optima of Kernelized Adversarial Representation Learning. ICCV 2019: 7970-7978 - [i20]Proteek Chandan Roy, Vishnu Naresh Boddeti:
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach. CoRR abs/1904.05514 (2019) - [i19]Bashir Sadeghi, Runyi Yu, Vishnu Naresh Boddeti:
On the Global Optima of Kernelized Adversarial Representation Learning. CoRR abs/1910.07423 (2019) - [i18]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. CoRR abs/1912.01369 (2019) - 2018
- [j6]Hironori Hattori, Namhoon Lee, Vishnu Naresh Boddeti, Fares Beainy, Kris M. Kitani, Takeo Kanade:
Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance - Can We Learn Pedestrian Detectors and Pose Estimators Without Real Data? Int. J. Comput. Vis. 126(9): 1027-1044 (2018) - [c21]Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani:
Efficient K-Shot Learning With Regularized Deep Networks. AAAI 2018: 4382-4389 - [c20]Felix Juefei-Xu, Rahul Dey, Vishnu Naresh Boddeti, Marios Savvides:
RankGAN: A Maximum Margin Ranking GAN for Generating Faces. ACCV (3) 2018: 3-18 - [c19]Vishnu Naresh Boddeti:
Secure Face Matching Using Fully Homomorphic Encryption. BTAS 2018: 1-10 - [c18]Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Perturbative Neural Networks. CVPR 2018: 3310-3318 - [i17]Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain:
On the Intrinsic Dimensionality of Face Representation. CoRR abs/1803.09672 (2018) - [i16]Vishnu Naresh Boddeti:
Secure Face Matching Using Fully Homomorphic Encryption. CoRR abs/1805.00577 (2018) - [i15]Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Perturbative Neural Networks. CoRR abs/1806.01817 (2018) - [i14]Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. CoRR abs/1810.03522 (2018) - [i13]Rahul Dey, Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
RankGAN: A Maximum Margin Ranking GAN for Generating Faces. CoRR abs/1812.08196 (2018) - 2017
- [c17]Ryohei Funakoshi, Vishnu Naresh Boddeti, Kris Makoto Kitani, Hideki Koike:
Video segmentation and stabilization for BallCam. AH 2017: 40 - [c16]Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Local Binary Convolutional Neural Networks. CVPR 2017: 4284-4293 - [c15]Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato:
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. ICCV 2017: 2059-2069 - [i12]Dipan K. Pal, Vishnu Naresh Boddeti, Marios Savvides:
Emergence of Selective Invariance in Hierarchical Feed Forward Networks. CoRR abs/1701.08837 (2017) - [i11]Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato:
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. CoRR abs/1704.02203 (2017) - [i10]Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking. CoRR abs/1704.04865 (2017) - [i9]Vishnu Naresh Boddeti, Myung-Cheol Roh, Jongju Shin, Takaharu Oguri, Takeo Kanade:
Face Alignment Robust to Pose, Expressions and Occlusions. CoRR abs/1707.05938 (2017) - [i8]Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain:
On the Capacity of Face Representation. CoRR abs/1709.10433 (2017) - [i7]Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani:
Efficient K-Shot Learning with Regularized Deep Networks. CoRR abs/1710.02277 (2017) - 2016
- [c14]Jonathon M. Smereka, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Andres Rodriguez:
Stacked correlation filters for biometric verification. ICASSP 2016: 2104-2108 - [c13]Ryohei Funakoshi, Vishnu Naresh Boddeti, Kris Makoto Kitani, Hideki Koike:
Activity-Aware Video Stabilization for BallCam. UIST (Adjunct Volume) 2016: 197-198 - [i6]Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Local Binary Convolutional Neural Networks. CoRR abs/1608.06049 (2016) - [i5]Jonathan Shen, Noranart Vesdapunt, Vishnu Naresh Boddeti, Kris M. Kitani:
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection. CoRR abs/1612.00478 (2016) - [i4]Yubo Zhang, Vishnu Naresh Boddeti, Kris M. Kitani:
Gesture-based Bootstrapping for Egocentric Hand Segmentation. CoRR abs/1612.02889 (2016) - [i3]Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti, Yu Zhang, Fares Beainy, Kris M. Kitani, Takeo Kanade:
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator. CoRR abs/1612.05234 (2016) - 2015
- [j5]Joseph A. Fernandez, Vishnu Naresh Boddeti, Andres Rodriguez, B. V. K. Vijaya Kumar:
Zero-Aliasing Correlation Filters for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1702-1715 (2015) - [j4]Jonathon M. Smereka, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar:
Probabilistic Deformation Models for Challenging Periocular Image Verification. IEEE Trans. Inf. Forensics Secur. 10(9): 1875-1890 (2015) - [c12]Hironori Hattori, Vishnu Naresh Boddeti, Kris M. Kitani, Takeo Kanade:
Learning scene-specific pedestrian detectors without real data. CVPR 2015: 3819-3827 - [c11]Andy Zeng, Vishnu Naresh Boddeti, Kris M. Kitani, Takeo Kanade:
Face Alignment Refinement. WACV 2015: 162-169 - 2014
- [c10]Yair Movshovitz-Attias, Yaser Sheikh, Vishnu Naresh Boddeti, Zijun Wei:
3D Pose-by-Detection of Vehicles via Discriminatively Reduced Ensembles of Correlation Filters. BMVC 2014 - [i2]Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar:
Maximum Margin Vector Correlation Filter. CoRR abs/1404.6031 (2014) - [i1]Joseph A. Fernandez, Vishnu Naresh Boddeti, Andres Rodriguez, B. V. K. Vijaya Kumar:
Zero-Aliasing Correlation Filters for Object Recognition. CoRR abs/1411.2316 (2014) - 2013
- [j3]Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar:
A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2064-2077 (2013) - [j2]Andres Rodriguez, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Abhijit Mahalanobis:
Maximum Margin Correlation Filter: A New Approach for Localization and Classification. IEEE Trans. Image Process. 22(2): 631-643 (2013) - [c9]Md. Maruf Monwar, B. V. K. Vijaya Kumar, Vishnu Naresh Boddeti, Jonathon M. Smereka:
Rank information fusion for challenging ocular image recognition. ICCI*CC 2013: 175-181 - [c8]Stephen Siena, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar:
Maximum-Margin Coupled Mappings for cross-domain matching. BTAS 2013: 1-8 - [c7]Vishnu Naresh Boddeti, Takeo Kanade, B. V. K. Vijaya Kumar:
Correlation Filters for Object Alignment. CVPR 2013: 2291-2298 - [p2]Raghavender R. Jillela, Arun Abraham Ross, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Xiaofei Hu, Robert J. Plemmons, Paúl Pauca:
Iris Segmentation for Challenging Periocular Images. Handbook of Iris Recognition 2013: 281-308 - [p1]B. V. K. Vijaya Kumar, Jason Thornton, Marios Savvides, Vishnu Naresh Boddeti, Jonathon M. Smereka:
Application of Correlation Filters for Iris Recognition. Handbook of Iris Recognition 2013: 337-354 - 2012
- [c6]Stephen Siena, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar:
Coupled Marginal Fisher Analysis for Low-Resolution Face Recognition. ECCV Workshops (2) 2012: 240-249 - [c5]Arun Ross, Raghavender R. Jillela, Jonathon M. Smereka, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Ryan Barnard, Xiaofei Hu, Victor Paúl Pauca, Robert J. Plemmons:
Matching highly non-ideal ocular images: An information fusion approach. ICB 2012: 446-453 - [c4]Ilari Shafer, Kai Ren, Vishnu Naresh Boddeti, Yoshihisa Abe, Gregory R. Ganger, Christos Faloutsos:
RainMon: an integrated approach to mining bursty timeseries monitoring data. KDD 2012: 1158-1166 - 2011
- [c3]Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Krishnan Ramkumar:
Improved iris segmentation based on local texture statistics. ACSCC 2011: 2147-2151 - [c2]Vishnu Naresh Boddeti, Jonathon M. Smereka, B. V. K. Vijaya Kumar:
A comparative evaluation of iris and ocular recognition methods on challenging ocular images. IJCB 2011: 1-8 - 2010
- [j1]Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar:
Extended-Depth-of-Field Iris Recognition Using Unrestored Wavefront-Coded Imagery. IEEE Trans. Syst. Man Cybern. Part A 40(3): 495-508 (2010)
2000 – 2009
- 2009
- [c1]Vishnu Naresh Boddeti, Fei Su, B. V. K. Vijaya Kumar:
A Biometric Key-Binding and Template Protection Framework Using Correlation Filters. ICB 2009: 919-929
Coauthor Index
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