VIU Lab

2024

  1. K. Zhang, and V. M. Patel, “ModelMix: A new model-mixup strategy to minimize vicinal risk across tasks for few-scribble based cardiac segmentation,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, 2024.
  2. J. Paranjape, S. Sikder, S. Vedula, and V. M. Patel, “Blackbox adaptation for medical image segmentation,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, 2024.
  3. J. Paranjape, S. Sikder, S. Vedula, and V. M. Patel, “S-SAM: SVD-based fine-tuning of segment anything model for medical image segmentation,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, 2024.
  4. J. Paranjape, N. K. Nair, S. Sikder, S. Vedula, and V. M. Patel, “AdaptiveSAM: Towards efficient tuning of SAM for surgical scene segmentation,” Medical Image Understanding and Analysis (MIUA), Manchester, UK, 2024.
  5. S-Y Lo and V. M. Patel, “Adaptive batch normalization networks for adversarial robustness,” IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), Niagara Falls, Canada, 2024.
  6. A. Rahman and V. M. Patel, “UltraMAE: multi-modal masked autoencoder for ultrasound pre-training”, Medical Imaging with Deep Learning (MIDL), Paris, France, 2024.
  7. V. VS, J. M. Jose, and V. M. Patel, “Target and task specific source-free domain adaptive image segmentation”, Medical Imaging with Deep Learning (MIDL), Paris, France, 2024.
  8. J. M. Jose, Y. Tang, D. Yang, Z. Xu, C. Zhao, W. Li, V. M. Patel, B. A. Landman, D. Xu, Y. He, V. Nath , “Disruptive autoencoders: leveraging low-level features for 3D medical Image pre-training”, Medical Imaging with Deep Learning (MIDL), Paris, France, 2024.
  9. D. Y. L. Ranasinghe and V. M. Patel, “Crowd detection via point localization with diffusion models”, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Istanbul, Turkey, 2024.
  10. K. Narayan and V. M. Patel, “Hyp-OC: Hyperbolic one class classifier for face anti-spoofing”, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Istanbul, Turkey, 2024.
  11. W. G. C. Bandara and V. M. Patel, “Attention Prompt Tuning: parameter-efficient adaptation of pre-trained models for action recognition”, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Istanbul, Turkey, 2024.
  12. N. Shah, V. VS, and V. M. Patel, “LQMFormer: Language-aware query mask transformer for referring image segmentation”, IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, WA, 2024.
  13. Y. Mei, Y. Zeng, H. Zhang, Z. Shu, X. Zhang, S. Bi, J. Zhang, HJ Jung, and V. M. Patel, “Holo-relighting: Controllable volumetric portrait relighting from a single image”, IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, WA, 2024.
  14. Y. Zeng, V. M. Patel, H. Wang, X. Huang, T-C Wang, M-Y Liu, and Y Balaji , “JeDi: Joint-image diffusion models for finetuning-free personalized text-to-image generation”, IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, WA, 2024.
  15. Q. Zhang, L. Wang, V. M. Patel, X. Xie, and J. Lai, “View-decoupled transformer for person re-identification under aerial-ground camera network”, IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, WA, 2024.
  16. D. Y. L. Ranasinghe, N. G. Nair, W. G. C. Bandara, and V. M. Patel, “CrowdDiff: Multi-hypothesis crowd density estimation using diffusion models”, IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, WA, 2024.
  17. D. Y. L. Ranasinghe, D. B. Hegde, and V. M. Patel, “MonoDiff: Monocular 3D object detection and pose estimation with diffusion models”, IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, WA, 2024.
  18. K. Mei, M. Delbracio, H. Talebi, Z. Tu, V. M. Patel, P. Milanfar, “CoDi: Conditional diffusion distillation for higher-fidelity and faster image generation”, IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, WA, 2024.
  19. B. Safaei and V. VS and C. M. de Melo and V. M. Patel, “Entropic open-set active learning,” AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024.
  20. D. Hegde and V. M. Patel, “Attentive prototypes for source-free unsupervised domain adaptive 3D object detection,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2024.
  21. R. Yasarla, J. M. Jose, V. Sindagi and V. M. Patel, “Self-supervised denoising transformer with Gaussian process,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2024.
  22. R. Yasarla, R. Weng, W. Choi, V. M. Patel, and A. Sadeghian, “3SD: Self-supervised saliency detection with No labels,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2024.
  23. M. Suin, N. G. Nair, C. P. Lau, V. M. Patel, and R. Chellappa, “Diffuse and restore: A region-adaptive diffusion model for identity-preserving blind face restoration,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2024.
  24. K. Mei, L. Figueroa, Z. Lin, Z. Ding, S. Cohen, and V. M. Patel, “Latent feature-guided diffusion models for shadow removal,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2024.

2023

  1. M. Perera and V. M. Patel, “Analyzing bias in diffusion-based face generation models,” IEEE International Joint Conference on Biometrics (IJCB), Ljubljana, Slovenia, 2023.
  2. N. G. Nair and V. M. Patel, “Uncertainty aware kernel estimation and edge preserving attention for blind image deblurring”, IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Los Sueños, Costa Rica, 2023.
  3. B. Safaei, V. VS, C. M. de Melo, S. Hu and V. M. Patel, “Open-Set Automatic Target Recognition,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023.
  4. N. G. Nair, A. Cherian, S. Lohit, Y. Wang, T. Koike-Akino, V. M. Patel, and T. Marks, “Steered diffusion: diffusion models can perform zero-shot conditional generation,” IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2023.
  5. D. Hegde, J. M. Jose, and V. M. Patel, “CLIP goes 3D: leveraging prompt tuning for language grounded 3D recognition,” ICCV 2023 Workshop on Open-Vocabulary 3D Scene Understanding (ICCVW), Paris, France, 2023.
  6. Y. Korkmaz, T. Cukur, and V. M. Patel, “Self-supervised MRI reconstruction with unrolled diffusion models,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, 2023.
  7. N. Shah, S. Sikder, S. Vedula, and V. M. Patel, “GLSFormer : Gated – long, short sequence transformer for step recognition in surgical videos,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, 2023.
  8. J. Paranjape, S. Sikder, V. M. Patel, and S. Vedula, “Cross-dataset adaptation for instrument classification in cataract surgery videos,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, 2023.
  9. N. G. Nair, W. G. C. Bandara, and V. M. Patel, “Unite and conquer: plug & play multi-modal synthesis using diffusion models,” IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023.
  10. W. G. C. Bandara, N. Patel, A. Gholami, M. Nikkhah, M. Agrawal, and V. M. Patel, “AdaMAE: adaptive masking for efficient spatiotemporal learning with masked autoencoders,” IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023.
  11. V. VS, N. Yu, C. Xing, C. Qin, M. Gao, J. C. Niebles, V. M. Patel, and Ran Xu, “Open-vocabulary instance segmentation without manual mask annotations,” IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023.
  12. Y. Mei, H. Zhang, X. Zhang, J. Zhang, Z. Shu, Y. Wang, Z. Wei, S. Yan, HJ Jung, and V. M. Patel, “LightPainter: interactive portrait relighting with freehand scribble,” IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023.
  13. Y. Zeng, Z. Lin, J. Zhang, Q. Liu, J. Collomosse, J. Kuen and V. M. Patel, “SceneComposer: any-level semantic image synthesis ,” IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023.
  14. A. Rahman, J. M. Jose, I. Hacihaliloglu, and V. M. Patel, “Ambiguous medical image segmentation using diffusion models ,” IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023.
  15. V. VS, P. Oza and V. M. Patel, “Instance relation graph guided source-free domain adaptive object detection,” IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023.
  16. S-Y. Lo, P. Oza, S. Chennupati, A. Galindo, and V. M. Patel, “Spatio-temporal pixel-level contrastive learning-based source-free domain adaptation for video semantic segmentation,” IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023.
  17. J. M. Jose, P. Guo, V. VS, and V. M. Patel, “On-the-fly test-time adaptation for medical image segmentation,” Medical Imaging with Deep Learning (MIDL), Nashville, TN, 2023.
  18. P. Guo and V. M. Patel, “Reference-based MRI reconstruction using texture transformer,” Medical Imaging with Deep Learning (MIDL), Nashville, TN, 2023.
  19. J. M. Jose, H. Zhang, J. Zhang, Y. Wang, Z. Lin, J. Echevarria, Y. Ma, Z. Wei, K. Sunkavalli, and V. M. Patel, “Interactive portrait harmonization,” International Conference on Learning Representations (ICLR), Kigali, Rwanda, 2023.
  20. D. Hegde, V. Kilic, V. Sindagi, A. B. Cooper, M. Foster, and V. M. Patel, “Source-free unsupervised domain adaptation for 3D object detection in adverse weather,” IEEE International Conference on Robotics and Automation (ICRA), London, UK, 2023.
  21. K. Mei and V. M. Patel, “VIDM: Video implicit diffusion models,” AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, 2023.
  22. J. Shang, Y. Zeng, X. Qiao, X. Qiao, R. Zhang, G. Sun, V. M. Patel, and H. Fu, “JR2Net: Joint monocular 3D face reconstruction and reenactment,” AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, 2023.
  23. J. M. Jose and V. M. Patel, “Fine-context shadow detection using shadow removal,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2023.
  24. V. VS, P. Oza, and V. M. Patel, “Towards online domain adaptive object detection,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2023.
  25. N. G. Nair, K. Mei, and V. M. Patel, “AT-DDPM: restoring faces degraded by atmospheric turbulence using denoising diffusion probabilistic models,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2023.
  26. N. G. Nair and V. M. Patel, “T2V-DDPM: Thermal to visible face translation using denoising diffusion probabilistic models,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Waikoloa Village, HI, 2023.

2022

  1. Y. Mei, P. Guo, M. Zhou, and V. M. Patel, “Resource-adaptive federated learning with all-in-one neural composition,” Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, 2022.
  2. S-Y Lo and V. M. Patel, “Exploring adversarially robust training for unsupervised domain adaptation,” Asian Conference on Computer Vision (ACCV), Macau SAR, China, 2022.
  3. S-Y Lo, W. Wang, J. Thomas, J. Zheng, V. M. Patel, C-H Kuo, “Learning feature decomposition for domain adaptive monocular depth estimation,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022.
  4. R. Yasarla, C. Priebe, and V. M. Patel, “ART-SS: An adaptive rejection technique for semi-supervised restoration for adverse weather-affected images,” European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022.
  5. D. B. Sam, A. Agarwalla, J. Joseph, V. Sindagi, V. Babu, and V. M. Patel, “Completely self-supervised crowd counting via distribution matching,” European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022.
  6. K. Mei, V. M. Patel, and R. Huang, “Deep semantic statistics matching (D2SM) denoising network,” European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022.
  7. P. Guo, D. Yang, A. Hatamizadeh, A. Xu, Z. Xu, W. Li, C. Zhao, D. Xu, S. Harmon, E. Turkbey, B. Turkbey, B. Wood, F. Patella, E. Stellato, G. Carrafiello, V. M. Patel, and H. Roth, “Auto-FedRL: Federated hyperparameter optimization for multi-institutional medical image segmentation,” European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022.
  8. K. Mei, Y. Mei, and V. M. Patel. “Thermal to visible image synthesis under atmospheric turbulence”, IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.
  9. N. G. Nair, K. Mei, and V. M. Patel. “A comparison of different atmospheric turbulence simulation methods for image restoration”, IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.
  10. N. G. Nair, R. Yasarla and V. M. Patel. “NBD-GAP: Non-blind image deblurring without clean target images”, IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.
  11. V. VS, J. M. Jose, P. Oza and V. M. Patel. “Image fusion transformer”, IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.
  12. V. VS, P. Oza, V. A. Sindagi and V. M. Patel. “Mixture of teacher experts for source-free domain adaptive object detection”, IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.
  13. J. M. Jose and V. M. Patel, “UNeXt: MLP-based rapid medical image segmentation network,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, 2022.
  14. C. Peng, P. Guo, K. S. Zhou, V. M. Patel, and R. Chellappa, “Towards performant and reliable undersampled MR reconstruction via diffusion model sampling,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, 2022.
  15. A. Rahman, J. M. Jose, I. Hacihaliloglu, and V. M. Patel, “Simultaneous bone and shadow segmentation network using task correspondence consistency,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, 2022.
  16. A. Rahman, W. G. C. Bandara, J. M. Jose, I. Hacihaliloglu, and V. M. Patel, “Orientation-guided graph convolutional network for bone surface segmentation,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, 2022.
  17. R. Yasarla, H. R. V. Joze, and V. M. Patel, “Network architecture search for face enhancement,” European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, 2022.
  18. M. V. Perera, W. G. C. Bandara, J. M. Jose, and V. M. Patel, “Transformer-based SAR image despecking,” International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022.
  19. M. V. Perera, W. G. C. Bandara, J. M. Jose, and V. M. Patel, “SAR despecking using overcomplete convolutional networks,” International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022.
  20. W. G. C. Bandara and V. M. Patel, “A transformer-based Siamese network for change detection,” International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022.
  21. Y. Mei, P. Guo, and V. M. Patel, “Escaping data scarcity for high-resolution heterogeneous face hallucination,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, 2022. Oral Presentation
  22. M. Zhou and V. M. Patel, “Enhancing adversarial robustness for deep metric learning” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, 2022.
  23. J. M. Jose, R. Yasarla, and V. M. Patel, “TransWeather: Transformer-based restoration of images degraded by adverse weather conditions,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, 2022.
  24. W. G. C. Bandara and V. M. Patel, “HyperTransformer: A textural and spectral feature fusion transformer for pansharpening,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, 2022.
  25. Y. Zeng, Z. Lin, and V. M. Patel, “SketchEdit: Mask-free local image manipulation with partial sketches,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, 2022.
  26. R. Yasarla, V. A. Sindagi, and V. M. Patel, “Unsupervised restoration of weather-affected images using deep Gaussian process-based CycleGAN,” IAPR International Conference on Pattern Recognition (ICPR), Montréal, Canada, 2022.
  27. W. G. C. Bandara, J. M. Jose, and V. M. Patel, “SPIN Road Mapper: Extracting roads from aerial images via spatial and interaction space graph reasoning for autonomous driving,” IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, PA, 2022. [ICRA 2022 Outstanding Automation Paper Finalist]
  28. S. Pramanick, A. Roy, and V. M. Patel, “Multimodal learning using optimal transport for sarcasm and humor detection ,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2022. (pdf)
  29. V. VS, D. Poster, S. You, S. Hu, and V. M. Patel, “Meta-UDA: unsupervised domain adaptive thermal object detection using meta-learning,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2022. (pdf)

2021

 
  1. R. Shao, B. Zhang, P. C. Yuen, and V. M. Patel, “Federated test-time adaptive face presentation attack detection with dual-phase privacy preservation ,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021.  (Virtual Conference) (pdf)
  2. X. Di, S. Hu, and V. M. Patel, “Heterogeneous face frontalization via domain agnostic learning,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021.  (Virtual Conference)
  3. N. Peri, J. Gleason, C. D. Castillo, T. Bourlai, V. M. Patel, R. Chellappa, “ A synthesis-based approach for thermal-to-visible face verification ,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021.  (Virtual Conference)
  4. Y. Zeng, Z. Lin, H. Lu, and V. M. Patel, “CR-Fill: generative image inpainting with auxiliary contextual reconstruction,” IEEE/CVF International Conference on Computer Vision (ICCV), 2021. (Virtual Conference)
  5. H. Che, J. Radbel, J. Sunderram, J. Nosher, V. M. Patel, I. Hacihaliloglu, “Multi-feature multi-scale CNN-derived COVID-19 classification from lung ultrasound data,” International Conference of the IEEE Engineering in Medicine Biology Society (EMBC), 2021. (Virtual Conference)
  6. J. M. Jose, P. Oza, I. Hacihaliloglu, and V. M. Patel, “Medical transformer: gated axial-attention for medical image segmentation”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Virtual Conference, 2021. (pdf)
  7. P. Guo, J. M. Jose, P. Wang, J. Zhou, S. Jiang, and V. M. Patel, “Over-and-under complete convolutional RNN for MRI reconstruction”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Virtual Conference, 2021. (pdf)
  8. P. Oza and V. M. Patel, “Federated learning-based active authentication on mobile devices”,  International Joint Conference on Biometrics (IJCB), Virtual Conference, 2021. (pdf)
  9. R. Immidisetti, S. Hu and V. M. Patel, “Simultaneous face hallucination and translation for thermal to visible face verification using axial-GAN”, International Joint Conference on Biometrics (IJCB), Virtual Conference, 2021. (pdf)
  10. S-Y Lo and V. M. Patel, “MultAV: Multiplicative adversarial videos,” IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2021.  
  11. S-Y Lo, J. M. Jose, and V. M. Patel, “Overcomplete representations against adversarial videos,”  IEEE International Conference on Image Processing (ICIP), Anchorage, AK, 2021. (pdf)
  12. S-Y Lo and V. M. Patel, “Error diffusion halftoning against adversarial examples,”  IEEE International Conference on Image Processing (ICIP), Anchorage, AK, 2021. (pdf)
  13. R. Yasarla and V. M. Patel, “Learning to restore images degraded by atmospheric turbulence using uncertainty,”  IEEE International Conference on Image Processing (ICIP), Anchorage, AK, 2021. (pdf) [Best Paper Award]
  14. N. G. Nair and V. M. Patel, “Confidence guided network for atmospheric turbulence mitigation,”  IEEE International Conference on Image Processing (ICIP), Anchorage, AK, 2021. (pdf)
  15. P. Guo, P. Wang, J. Zhou, S. Jiang, and V. M. Patel, “Multi-institutional collaborations for improving deep learning-based magnetic resonance image reconstruction using federated learning,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual Conference, 2021. (pdf)
  16. V. VS, P. Oza, V. A. Sindagi, V. Gupta, and V. M. Patel, “MeGA-CDA: memory guided attention for category-aware unsupervised domain adaptive object detection,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual Conference, 2021. (pdf)
  17. P. Perera and V. M. Patel, “Geometric transformation-based network ensemble  for open-set recognition,” IEEE International Conference on Multimedia & Expo (ICME), Virtual Conference, 2021. (pdf)
  18. J. M. Jose and V. M. Patel, “Overcomplete deep subspace clustering networks,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Virtual Conference, 2021. (pdf)
  19. H. Zhang, J. Zhang, F. Perazzi, Z. Lin and V. M. Patel, “Deep image compositing,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Virtual Conference, 2021. (pdf)
  20. D. Poster, M. Thielke, R. Nguyen, S. Rajaraman, X. Di, C. N. Fondje, V. M. Patel, N. J. Short, B. S. Riggan, N. Nasrabadi, and S. Hu, “A large-scale, time-sychronized visible and thermal face dataset,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Virtual Conference, 2021. (pdf)

2020

 
  1. M. Abavisani, A. Naghizadeh, D. Metaxas, and V. M. Patel, “Deep subspace clustering with data augmentation,” Conference on Neural Information Processing Systems (NeurIPS), Virtual Conference, 2020. (pdf)
  2. P. Perera and V. M. Patel, “A joint representation learning and feature modeling approach for one-class recognition,” International Conference on Pattern Recognition (ICPR), Virtual Conference, 2020. (pdf)
  3. V. A. Sindagi*, P. Oza*, R. Yasarla and V. M. Patel, “Prior-based domain adaptive object detection for hazy and rainy conditions,” European Conference on Computer Vision (ECCV), Virtual Conference, 2020. (pdf)
  4. P. Oza, H. V. Nguyen and V. M. Patel, “Multiple class novelty detection under data distribution shift,” European Conference on Computer Vision (ECCV), Virtual Conference, 2020. (pdf)
  5. P. Oza and V. M. Patel, “Utilizing patch-level activity patterns for multiple class novelty detection,” European Conference on Computer Vision (ECCV), Virtual Conference, 2020. (pdf)
  6. R Shao, P. Perera, P. C. Yuen and V. M. Patel, “Open-set adversarial defense,” European Conference on Computer Vision (ECCV), Virtual Conference, 2020. (pdf)
  7. V. A. Sindagi, R. Yasarla, D. S. Babu, R. V. Babu and V. M. Patel, “Learning to count in the crowd from limited labeled data,” European Conference on Computer Vision (ECCV), Virtual Conference, 2020. (pdf)
  8. J.M.J Valanarasu, V.A Sindagi, I.Hacihaliloglu , V.M.Patel ; “KiU-Net: towards accurate segmentation of biomedical images using overcomplete representations”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Virtual Conference, 2020. (pdf)
  9. P. Guo, P. Wang, J. Zhou, V. M. Patel, and S. Jiang, “Lesion mask-based simultaneous synthesis of anatomic and molecular MR images using a GAN,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Virtual Conference, 2020. (pdf)
  10. P. Wang, P. Guo, J. Lu, J. Zhou, S. Jiang, and V. M. Patel, “Improving amide proton transfer-weighted MRI reconstruction using T2-weighted images,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Virtual Conference, 2020. (pdf)
  11. P. Wang, M. Vives, V. M. Patel, and I. Hacihaliloglu, “Robust bone shadow segmentation from 2D ultrasound through task decomposition,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Virtual Conference, 2020. (pdf)
  12. P. Yuan, A. Mobiny, J. Jahanipour, X. Li, P. Antonio, B. Roysam, V. M. Patel, M. Dragan, and H. V. Nguyen, “Few is enough: task-augmented active meta-learning for brain cell classification,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Virtual Conference, 2020. (pdf)
  13. A Alsinan, C. Rule, M. Vives, V. M. Patel, and I. Hacihaliloglu, “GAN-based realistic bone ultrasound image and label synthesis for improved segmentation,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Virtual Conference, 2020. (pdf)
  14. Y. Baweja, P. Oza, P. Perera, and V. M. Patel, “Anomaly detection-based unknown face pre- sentation attack detection,” International Joint Conference on Biometrics (IJCB), Virtual Conference, 2020. (pdf)
  15. M. Abavisani, and V. M. Patel, “Deep multimodal sparse representation-based classification,” IEEE International Conference on Image Processing (ICIP), Virtual Conference, 2020. (pdf)
  16. P. Perera, J. Fierrez, and V. M. Patel, “Quickest intruder detection for multiple user active authentication,” IEEE International Conference on Image Processing (ICIP), Virtual Conference, 2020. (pdf)
  17. R. Yasarla, V. A. Sindagi and V. M. Patel, “Syn2Real transfer learning for image deraining using Gaussian processes,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual Conference, 2020. (pdf) [Oral]
  18. P. Perera, V. Morariu, R. Jain, V. Manjunatha, C. Wigington, V. Ordonez,  and V. M. Patel, “Generative-discriminative feature representations for open-set recognition,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual Conference, 2020. (pdf)
  19. P. Wang, M. Vives, V. M. Patel, and I. Hacihaliloglu, “Robust real-time bone surfaces segmentation from ultrasound using a
    local phase tensor-guided CNN,” International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Virtual Conference, 2020. (pdf)
  20. A. Alsinan, I. Hacihaliloglu, and V. M. Patel, “Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN,” International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Virtual Conference, 2020.

2019

  1. V. A. Sindagi and V. M. Patel, “Multi-level bottom-top and top-bottom feature fusion for crowd counting,” IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, 2019. (pdf)
  2. V. A. Sindagi, R. Yasarla, and V. M. Patel, “Pushing the frontiers of unconstrained crowd counting: new dataset and benchmark method,” IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, 2019. (pdf)
  3. V. A. Sindagi and V. M. Patel, “Inverse attention guided deep crowd counting,” IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Taipei, Taiwan, 2019. (pdf)[Best Paper Award]
  4. J. Zheng, J-C. Chen, V. M. Patel, C. Castillo, and R. Chellappa, “Hybrid dictionary learning and matching for video-based face verification,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Tampa, FL, 2019.
  5. P. Perera and V. M. Patel, “Deep transfer learning for multiple class novelty detection,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019. (pdf)
  6. R. Yasarla and V. M. Patel, “Uncertainty guided multi-scale residual learning using a cycle spinning CNN for single image de-raining,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019. (pdf)
  7. P. Oza and V. M. Patel, “C2AE: class conditioned auto-encoder for open-set recognition,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.
  8. M. Abavisani, H. V. Joze  and V. M. Patel, “Improving the performance of unimodal dynamic hand-gesture recognition with multimodal training,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019. (pdf)
  9. P. Oza and V. M. Patel, “Active authentication using an autoencoder regularized CNN-based one-class classifier,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Lille, France, 2019. (pdf)
  10. X. Di, B. S. Riggan, S. Hu, N. J. Short, and V. M. Patel, “Polarimetric thermal to visible face verification via self-attention guided synthesis,” IAPR International Conference on Biometrics (ICB), Crete, Greece, 2019. (pdf)
  11. S. Wang, H. Chen, V. M. Patel, and A. Petropulu, “Two-dimensional beamforming automotive radar with orthogonal linear arrays,” IEEE Radar Conference (RadarConf), Boston, MA, 2019. (pdf)
  12. X. Wu, H. Huang, V. M. Patel, R. He, and Z. Sun, “Disentangled variational representation for heterogeneous face recognition,” AAAI Conference on Artificial Intelligence (AAAI), Honolulu, HI, 2019. (pdf)
  13. V. A. Sindagi and V. M. Patel, “DAFE-FD: Density aware feature enrichment for face detection,” IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, 2019. (pdf)

2018

  1. P. Perera and V. M. Patel, “Dual-minimax probability machines for one-class mobile active authentication,” IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), Los Angeles, CA, 2018. (pdf)
  2. X. Di, H. Zhang, and V. M. Patel, “Polarimetric thermal to visible face verification via attribute preserved synthesis,” IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), Los Angeles, CA, 2018. (pdf)
  3. H. Nada, V. Sindagi, H. Zhang, and V. M. Patel, “Pushing the limits of unconstrained face detection: a challenge dataset and baseline results,” IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), Los Angeles, CA, 2018. (pdf)
  4. P. Wang, V. M. Patel, and I. Hacihaliloglu, “Simultaneous segmentation and classification of bone surfaces from ultrasound using a multi-feature guided CNN,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018. (pdf)
  5. B. S. Riggan, N. J. Short, M. S. Sarfraz, S. Hu, H. Zhang, V. M. Patel, S. Rasnayaka, J. Li, T. Sim, S. M. Iranmanesh, and N. M. Nasrabadi, “ICME grand challenge results on heterogeneous face recognition:
    polarimetric thermal-to-visible matching,” IEEE International Conference on Multimedia and Expo (ICME), San Diego, CA, 2018. (pdf). [Grand Challenge 1st Place Winner]
  6. C. Ancuti et al., “NTIRE2018 challenge on image dehazing: methods and results,” New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018. (pdf). [Challenge 1st Place Winner] 
  7. X. Di, V. A. Sindagi and V. M. Patel, “GP-GAN: Gender preserving GAN for synthesizing faces from landmarks,” International Conference on Pattern Recognition (ICPR), Beijing, China, 2018. (pdf). [Best Student Paper Award] 
  8. P. Perera, M. Abavisani, and V. M. Patel, “In2I: Unsupervised multi-image-to-image translation using generative adversarial networks,” International Conference on Pattern Recognition (ICPR), Beijing, China, 2018. (pdf). [Best Student Paper Award]
  9. H. Zhang, V. A. Sindagi, and V. M. Patel, “Multi-scale single image dehazing using perceptual pyramid deep network,” New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018. (pdf)
  10. H. Zhang and V. M. Patel, “Density-aware single image de-raining using a multi-stream dense network,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018. (pdf)
  11. H. Zhang and V. M. Patel, “Densely connected pyramid dehazing network,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018. (pdf)
  12. L. Wang, V. A. Sindagi, and V. M. Patel, “High-quality facial photo-sketch synthesis using multi-adversarial networks,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Xi’an, China, 2018. (pdf)
  13. A. Malhotra, R. Singh, M. Vatsa, and V. M. Patel, “Person authentication using head images,” IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV/CA, 2018. (pdf)
  14. S. Wang, V. M. Patel and A. Petropulu, “FPS-SFT: A multi-dimensional sparse Fourier transform based on the Fourier projection-slice theorem,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Alberta, Canada, 2018. (pdf)
  15. P. Wang and V. M. Patel, “Generating high quality visible images from SAR images using CNNs,” IEEE Radar Conference (RadarConf), Oklahoma City, OK, 2018. (pdf)
  16. S. Wang, V. M. Patel and A. Petropulu, “Robust sparse Fourier transform based on the Fourier projection-slice theorem,” IEEE Radar Conference (RadarConf), Oklahoma City, OK, 2018. (pdf)
  17. E. Gonzalez-Sosa, R. Vera-Rodriguez, J. Fierrez and V. M. Patel, “Person recognition beyond the visible spectrum: combining body shape and texture from mmW images,” IAPR International Conference on Biometrics (ICB), Gold Coast, Australia, 2018. (pdf). [Honorable Mention Paper Award]
  18.  P. Wang, N. Cuccolo, R. Tyagi, I. Hacihaliloglu, and V. M. Patel, “Automatic real-time CNN-based neonatal brain ventricles segmentation,” IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, 2018. (pdf)
  19. M. Abavisani and V. M. Patel, “Adversarial domain adaptive subspace clustering,” IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Singapore, 2018. (pdf)

2017

  1. P. Wang, H. Zhang and V. M. Patel, “Generative adversarial network-based restoration of speckled SAR images,” IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curaçao, Dutch Antilles, 2017. (pdf)
  2. V. A. Sindagi and V. M. Patel, “Generating high-quality crowd density maps using contextual pyramid CNNs,” IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017. (pdf)
  3. H. Zhang, V. M. Patel, B. Riggan, and S. Hu, “Generative adversarial network-based synthesis of visible faces from polarimetric thermal faces,” International Joint Conference on Biometrics (IJCB), Denver, CO, 2017. (pdf)
  4. V. A. Sindagi and V. M. Patel, “CNN-based cascaded multi-task learning of high-level prior and density estimation for crowd counting,” IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Lecce, Italy, 2017. (pdf) (code) [Best Paper Award]
  5. H. Zhang, V. M. Patel, and R. Chellappa, “Hierarchical multimodal metric learning for multimodal classification,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017. (pdf)
  6. P. Perera and V. M. Patel, “Extreme value analysis for mobile active user authentication,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Washington DC, 2017. (pdf)
  7. P. Perera and V. M. Patel, “Towards multiple user active authentication in mobile devices,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Washington DC, 2017. (pdf)
  8. X. Di and V. M. Patel, “Large margin multi-modal triplet metric learning,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Washington DC, 2017. (pdf)
  9. S. Wang, V. M. Patel and A. Petropulu, “MIMO-RSFT radar: a reduced complexity MIMO radar based on the sparse Fourier transform,” IEEE Radar Conference (RadarCon), Seattle, WA, 2017. (pdf)
  10. E. Gonzalez-Sosa, R. Vera-Rodriguez, J. Fierrez and V. M. Patel, “Millimetre wave person recognition: hand-crafted vs. learned features,” IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), New Delhi, India, 2017. (pdf)
  11. H. Zhang and V. M. Patel, “Convolutional sparse and low-rank coding-based rain streak removal,” IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, 2017. (pdf)
  12. P. Wang and V. M. Patel, “Extracting Fourier descriptors from compressive measurements,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017. (pdf)
  13. S. Wang, V. M. Patel and A. Petropulu, “A practical high dimensional sparse Fourier transform,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017. (pdf)

2016

  1. J. Zheng, J-C. Chen, N. Bodla, V. M. Patel, and R. Chellappa, “VLAD encoded deep convolutional features for unconstrained face verification,” International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016. (pdf)
  2. X. Yang, V. M. Patel, and A. P. Petropulu, “Spaceborne SAR antenna size reduction enabled by compressive sampling,” IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington DC, 2016. (pdf)
  3. H. Zhang and V. M. Patel, “Convolutional sparse coding-based image decomposition,” British Machine Vision Conference (BMVC), York, UK, 2016. (pdf)
  4. M. Abavisani and V. M. Patel, “Domain adaptive subspace clustering,” British Machine Vision Conference (BMVC), York, UK, 2016. (pdf)
  5. S. Wang, V. M. Patel and A. Petropulu, “RSFT: A realistic high dimensional sparse Fourier transform and its application in radar signal processing,”  IEEE Military Communications Conference (MILCOM), Baltimore, MD, 2016. (pdf)
  6. P. Perera and V. M. Patel, “Quickest intrusion detection in mobile active user authentication,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Niagara Falls, NY, 2016. (pdf)
  7. U. Mahbub, S. Sarkar, V. M. Patel, and R. Chellappa, “Active user authentication for smartphones: a challenge data set and benchmark results,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Niagara Falls, NY, 2016. (pdf) [Best Poster Award]
  8. J-C. Chen, A. Kumar, R. Ranjan, V. M. Patel, A. Alavi, and R. Chellappa, “A cascaded convolutional neural network for age estimation of unconstrained faces,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Niagara Falls, NY, 2016. (pdf)
  9. X. Di and V. M. Patel, “Deep tattoo recognition,” IEEE Computer Society Workshop on Biometrics in Conjunction with CVPR 2016, Las Vegas, NV, 2016. (pdf)
  10. J-C. Chen, J. Zheng, V. M. Patel, R. Chellappa, “Fisher vector encoded deep convolutional features for unconstrained face verification,” IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 2016. (pdf)
  11. U. Mahbub, V. M. Patel, D. Chandra, B. Barbello, and R. Chellappa, “Partial face detection for continuous authentication,” IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 2016. (pdf)
  12. A. Ghosh, V. M. Patel, and M. A. Powers, “Computational agile beam LADAR imaging,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016. (pdf)
  13. S. Sarkar, V. M. Patel, and R. Chellappa, “Deep feature-based face detection on mobile devices,” IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Sendai, Japan, 2016. (pdf)
  14. J-C. Chen, V. M. Patel, and R. Chellappa, “Unconstrained face verification using deep CNN features,” IEEE Winter conference on Applications of Computer Vision (WACV), Lake Placid, NY, 2016. (pdf)
  15. S. Sengupta, J-C. Chen, C. Castillo, V. M. Patel, R. Chellappa, and  D. Jacobs, “Frontal to profile face verification in the wild,” IEEE Winter conference on Applications of Computer Vision (WACV), Lake Placid, NY, 2016. (pdf)

2015

  1. R. Ranjan, S. Zhou, J-C. Chen, A. Kumar, A. Alavi, V. M. Patel, and R. Chellappa, “Unconstrained age estimation with deep convolutional neural networks,” IEEE International Conference on Computer Vision (ICCV) workshop on ChaLearn Looking at People (ChaLearn LaP), Santiago, Chile, 2015. (pdf)
  2. J-C. Chen, R. Ranjan, A. Kumar, C-H. Chen, V. M. Patel, and R. Chellappa, “An end- to-end system for unconstrained face verification with deep convolutional neural networks,” IEEE International Conference on Computer Vision (ICCV) workshop on ChaLearn Looking at People (ChaLearn LaP), Santiago, Chile, 2015. (pdf)
  3. X. Gibert-Serra, V. M. Patel, and R. Chellappa, “Sequential score adaptation with extreme value theory for robust railway track inspection,” IEEE International Conference on Computer Vision (ICCV) workshop on Computer Vision for Road Scene Understanding and Autonomous Driving (CVRSUAD), Santiago, Chile, 2015. (pdf)
  4. R. Ranjan, V. M. Patel, and R. Chellappa, “A deep pyramid deformable part model for face detection,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Arlington, VA, 2015. (pdf) [Best Poster Award]
  5. P. Samangouei, V. M. Patel, and R. Chellappa, “Attribute-based continuous user authentication on mobile devices,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Arlington, VA, 2015. (pdf)[Best Paper Award(Bronze)]
  6. J-C. Chen, S Sankaranrayanan, V. M. Patel, and R. Chellappa, “Unconstrained face verification using Fisher vectors computed from frontalized faces,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Arlington, VA, 2015. (pdf)
  7. V. M. Patel and M. A. Powers, “Structured representation-based robust agile-beam LADAR imaging,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf)
  8. H. Zhang, V. M. Patel, and R. Chellappa, “Multitask multivariate common sparse representations for robust multimodal biometrics recognition,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf)
  9. G. Warnell, V. M. Patel, and R. Chellappa, “Integrability-regularized phase unwrapping via sparse error correction,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf)
  10. S. Sankaranarayanan, V. M. Patel, and R. Chellappa, “3D facial model synthesis using coupled dictionaries,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf)
  11. J-C. Chen, V. M. Patel, and R. Chellappa, “Landmark-based Fisher vector representation for video-based face verification,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf)
  12. X. Gibert-Serra, V. M. Patel, and R. Chellappa, “Material classification and semantic segmentation of railway track images with deep convolutional neural networks,” IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, 2015. (pdf) [Top 10% Award]
  13. C-H. Chen, V. M. Patel and R. Chellappa, “Matrix completion for resolving label ambiguity,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, 2015. (pdf)
  14. H. Zhang, V. M. Patel and R. Chellappa, “Robust multimodal recognition via multitask multivariate low-rank representations,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Ljublijana, Slovenia, 2015. (pdf)
  15. H. Zhang, V. M. Patel, S. Shekhar and R. Chellappa, “Domain adaptive sparse representation-based classification,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Ljublijana, Slovenia, 2015. (pdf)
  16. M. E. Fathy, V. M. Patel and R. Chellappa, “Face-based active authentication on mobile devices,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, 2015. (pdf)
  17. H. Zhang, V. M. Patel, M. E. Fathy  and R. Chellappa, “Touch gesture-based active user authentication using dictionaries,” IEEE Winter conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, 2015. (pdf)
  18. X. Gibert-Serra, V. M. Patel and R. Chellappa, “Robust fastener detection for autonomous visual railway track inspection,” IEEE Winter conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, 2015. (pdf)

2014

  1. A. Shrivastava, J. K. Pillai, V. M. Patel and R. Chellappa, “Dictionary-based multiple instance learning,” IEEE International Conference on Image Processing (ICIP), Paris, France, 2014. (pdf)
  2. J-C Chen, V. M. Patel, H. T. Ho and R. Chellappa, “Dictionary-based video face recognition using dense multi-scale facial landmark features,” IEEE International Conference on Image Processing (ICIP), Paris, France, 2014. (pdf) [Top 10% Award]
  3. S. Shekhar, V. M. Patel and R. Chellappa, “Analysis sparse coding models for image-based classification,” IEEE International Conference on Image Processing (ICIP), Paris, France, 2014. (pdf)
  4. V. M. Patel and R. Vidal, “Kernel sparse subspace clustering,” IEEE International Conference on Image Processing (ICIP), Paris, France, 2014. (pdf)
  5. E. Vasiete, Y. Chen, I. Char, T. Yeh, V. M. Patel, L. Davis and R. Chellappa, “Toward a non-intrusive, physio-behavioral biometric for smartphones,” ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), Toronto, Canada, 2014. (pdf)
  6. H. V. Nguyen and V. M. Patel, “Max residual classifier,” IEEE Winter conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, 2014. (pdf)
  7. Y-C. Chen, V. M. Patel, R. Chellappa and P. J. Phillips, “Adaptive representations for video-based face recognition across pose,” IEEE Winter conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, 2014. (pdf)
  8. A. Shrivastava, S. Shekhar, and V. M. Patel, “Unsupervised domain adaptation using parallel transport on Grasmann manifold,” IEEE Winter conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, 2014.  (pdf)

2013

  1. V. M. Patel, H. V. Nguyen and R. Vidal, “Latent space sparse subspace clustering,” International Conference on Computer Vision (ICCV), Sydney, Australia, 2013. (pdf)
  2. Y-C. Chen, V. M. Patel, J. K. Pillai, R. Chellappa and P. J. Phillips, “Dictionary learning from ambiguously labeled data,” IEEE conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, 2013. (pdf)
  3. S. Shekhar, V. M. Patel, H. V. Nguyen and R. Chellappa, “Generalized domain adaptive dictionaries,” IEEE conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, 2013. (pdf)
  4. V. M. Patel, Q. Qiu, and R. Chellappa, “Dictionaries for image-based recognition,” Information Theory and Applications Workshop (ITA), San Diego, CA, 2013. (pdf)
  5. V. M. Patel, A. S. Hedden and J. N. Mait, “Computational imaging with a confocal 220-GHz electronically scanned reflectarray,”IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting (AP-S/USNC-URSI), Lake Buena Vista, FL, 2013.
  6. Y-C. Chen, V. M. Patel, S. Shekhar, R. Chellappa and P. J. Phillips, “Video-based face recognition via joint sparse representation,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Shanghai, China, 2013. (pdf)

2012

  1. A. Shrivastava, H. V. Nguyen, V. M. Patel, and R. Chellappa, “Design of non-linear discriminative dictionaries for image classification,” Asian Conference on Computer Vision (ACCV), Daejeon, Korea, 2012.  (pdf)
  2. Q. Qiu, V. M. Patel, P. Turaga, R. Chellappa, “Domain adaptive dictionary learning,” European Conference on Computer Vision (ECCV), Florence, Italy, 2012. (pdf)
  3. H. V. Nguyen, V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Sparse embedding: a framework for sparsity promoting dimensionality reduction,” European Conference on Computer Vision (ECCV), Florence, Italy, 2012. (pdf)
  4. Y-C. Chen, V. M. Patel, P. J. Phillips and R. Chellappa, “Dictionary-based face recognition from video,” European Conference on Computer Vision (ECCV), Florence, Italy, 2012. (pdf)
  5. S. Shekhar, V. M. Patel, N. M. Nasrabadi and R. Chellappa, “Joint sparsity-based robust multimodal biometrics recognition,”European Conference on Computer Vision (ECCV) Workshop on Information Fusion in Computer Vision for Concept Recognition (IFCVCR), Florence, Italy, 2012. (pdf)
  6. A. Shrivastava, J. K. Pillai, V. M. Patel, R. Chellappa, “Learning discriminative dictionaries with partially labeled data,” IEEE International Conference on Image Processing (ICIP), Orlando, FL, 2012. (pdf)
  7. Y-C. Chen, V. M. Patel, R. Chellappa and P. J. Phillips, “Salient view selection based on sparse representation,” IEEE International Conference on Image Processing (ICIP), Orlando, FL, 2012. (pdf)
  8. G. R. Easley, D. Labate and V. M. Patel, “Hyperbolic shearlets,” IEEE International Conference on Image Processing (ICIP), Orlando, FL, 2012. (pdf)
  9. A. Mehmood, V. M. Patel, and R. Damarla, “Discrimination of bipeds from quadrupeds using seismic footstep signatures,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 2012. (pdf)
  10. V. M. Patel and J. N. Mait, “Passive millimeter-wave imaging with extended depth of  field and sparse data,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012. (pdf)
  11. H. V. Nguyen, V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Kernel dictionary learning,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012. (pdf)
  12. Y-C. Chen, C. S. Sastry, V. M. Patel, P. J. Phillips and R. Chellappa, “Rotation invariant simultaneous clustering and dictionary learning,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012. (pdf)

2011

  1. V. M. Patel and R. Chellappa, “Sparse representations, compressive sensing and dictionaries for pattern recognition,” Asian Conference on Pattern Recognition (ACPR), Beijing, China, 2011. (pdf)
  2. S. Shekhar, V. M. Patel, and R. Chellappa, “Synthesis-based recognition of low resolution faces,” International Joint Conference on Biometrics (IJCB), Washington DC, 2011. (pdf)
  3. V. M. Patel, G. R. Easley, and R. Chellappa, “Multilayered Image representation-based compressive SAR imaging,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting (AP-S/USNC-URSI), Spokane , WA, 2011. (Invited)
  4. V. M. Patel, T. Wu, S. Biswas, P. J. Phillips, and R. Chellappa, “Illumination robust dictionary-based face recognition,” IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. (pdf)
  5. V. M. Patel, G. R. Easley, and R. Chellappa, “Component-based restoration of speckled images,” IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. (pdf)
  6. G. R. Easley, D. Labate and V. M. Patel, “Multi-composite wavelet estimation,” in Wavelets and Sparsity XIV, San Diego, CA, 2011. (pdf)

2010

  1. V. M. Patel, R. Chellappa and M. Tistarelli, “Sparse representations and random projections for robust and cancelable biometrics,” International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore, 2010. (Invited). (pdf)
  2. V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Automatic target recognition based on simultaneous sparse representation,” IEEE International Conference on Image Processing (ICIP), Hong Kong, 2010. (pdf)
  3. J. Ni, P. Turaga, V. M. Patel, and R. Chellappa, “Object dependent manifold priors for image deconvolution,” Digital Image Processing and Analysis (DIPA), Tucson, AZ, 2010. (pdf)
  4. V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Sparsity inspired automatic target recognition,” Defense, Security and Sensing, Proceedings of SPIE, Orlando, FL, 2010. (link)
  5. V. M. Patel, G. R. Easley, and R. Chellappa, “Multiscale directional filtering of noisy InSAR phase images,” Defense, Security and Sensing, Proceedings of SPIE, Orlando, FL, 2010. (Invited). (link)
  6. J. Pillai, V. M. Patel, R. Chellappa and N. K. Ratha, “Sectored random projections for cancelable iris biometrics,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dallas, TX, 2010. (pdf)

2009

  1. J. Pillai, V. M. Patel and R. Chellappa, “Sparsity inspired selection and recognition of iris images,” IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington, DC, 2009. (pdf)
  2. V. M. Patel, G. R. Easley, R. Chellappa and D. M. Healy, Jr., “Enhancing sparsity using gradients for compressive sensing,” IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 2009. (pdf)
  3. V. M. Patel, G. R. Easley, D. M. Healy, Jr., and R. Chellappa, “Compressed sensing for synthetic aperture radar imaging,” IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 2009. (pdf)
  4. G. R. Easley, V. Patel, and D. M. Healy, Jr., “Inverse halftoning using a shearlet representation,” in Wavelets XIII, San Diego, CA, 2009. (Invited). (pdf)

2008

  1. V. M. Patel, G. R. Easley, and D. M. Healy, Jr., “A new multiresolution generalized directional filter bank design and application in image enhancement,” IEEE International Conference on Image Processing (ICIP), San Diego, CA, 2008. (pdf)

2007

  1. G. R. Easley, V. Patel, and D. M. Healy, Jr., “An M-channel directional filter bank compatible with the contourlet and shearlet frequency tiling,” in Wavelets XII, San Diego, CA, 2007. (pdf)