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Vishal M. Patel
Vishal Patel 0001
Person information
- affiliation: Johns Hopkins University, Baltimore, MD, USA
- affiliation (former): Rutgers University, NJ, USA
- affiliation (PhD 2010): University of Maryland, College Park, MD, USA
Other persons with the same name
- Vishal Patel — disambiguation page
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2020 – today
- 2024
- [j91]Poojan Oza, Vishwanath A. Sindagi, Vibashan VS, Vishal M. Patel:
Unsupervised Domain Adaptation of Object Detectors: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4018-4040 (2024) - [j90]Thirimachos Bourlai, Jacob Rose, Suha Reddy Mokalla, Ananya Zabin, Lawrence A. Hornak, Christopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Vishal M. Patel, Rama Chellappa:
Data and Algorithms for End-to-End Thermal Spectrum Face Verification. IEEE Trans. Biom. Behav. Identity Sci. 6(1): 1-14 (2024) - [j89]Pengfei Guo, Yiqun Mei, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer. IEEE Trans. Medical Imaging 43(1): 582-593 (2024) - [j88]Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Federated Generalized Face Presentation Attack Detection. IEEE Trans. Neural Networks Learn. Syst. 35(1): 103-116 (2024) - [c223]Bardia Safaei, Vibashan VS, Celso M. de Melo, Vishal M. Patel:
Entropic Open-Set Active Learning. AAAI 2024: 4686-4694 - [c222]Shao-Yuan Lo, Vishal M. Patel:
Adaptive Batch Normalization Networks for Adversarial Robustness. AVSS 2024: 1-6 - [c221]Yiqun Mei, Yu Zeng, He Zhang, Zhixin Shu, Xuaner Zhang, Sai Bi, Jianming Zhang, HyunJoon Jung, Vishal M. Patel:
Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image. CVPR 2024: 4263-4273 - [c220]Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji:
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation. CVPR 2024: 6786-6795 - [c219]Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar:
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation. CVPR 2024: 9048-9058 - [c218]Yasiru Ranasinghe, Deepti Hegde, Vishal M. Patel:
MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models. CVPR 2024: 10659-10670 - [c217]Yasiru Ranasinghe, Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel:
CrowdDiff: Multi-Hypothesis Crowd Density Estimation Using Diffusion Models. CVPR 2024: 12809-12819 - [c216]Nisarg A. Shah, Vibashan VS, Vishal M. Patel:
LQMFormer: Language-Aware Query Mask Transformer for Referring Image Segmentation. CVPR 2024: 12903-12913 - [c215]Quan Zhang, Lei Wang, Vishal M. Patel, Xiaohua Xie, Jianhuang Lai:
View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network. CVPR 2024: 22000-22009 - [c214]Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel:
MaxFusion: Plug&Play Multi-modal Generation in Text-to-Image Diffusion Models. ECCV (38) 2024: 93-110 - [c213]Wele Gedara Chaminda Bandara, Vishal M. Patel:
Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Action Recognition. FG 2024: 1-10 - [c212]Kartik Narayan, Vishal M. Patel:
Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing. FG 2024: 1-10 - [c211]Yasiru Ranasinghe, Vishal M. Patel:
Crowd Detection via Point Localization with Diffusion Models. FG 2024: 1-10 - [c210]Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
Black-Box Adaptation for Medical Image Segmentation. MICCAI (12) 2024: 454-464 - [c209]Ke Zhang, Vishal M. Patel:
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk Across Tasks for Few-Scribble Based Cardiac Segmentation. MICCAI (9) 2024: 456-466 - [c208]Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
S-SAM: SVD-Based Fine-Tuning of Segment Anything Model for Medical Image Segmentation. MICCAI (12) 2024: 720-730 - [c207]Jay N. Paranjape, Nithin Gopalakrishnan Nair, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation. MIUA (2) 2024: 187-201 - [c206]Rajeev Yasarla, Renliang Weng, Wongun Choi, Vishal M. Patel, Amir Sadeghian:
3SD: Self-Supervised Saliency Detection With No Labels. WACV 2024: 312-321 - [c205]Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishwanath S, Vishal M. Patel:
Self-Supervised Denoising Transformer with Gaussian Process. WACV 2024: 1463-1473 - [c204]Deepti Hegde, Vishal M. Patel:
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection. WACV 2024: 3054-3064 - [c203]Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel:
Latent Feature-Guided Diffusion Models for Shadow Removal. WACV 2024: 4301-4310 - [c202]Maitreya Suin, Nithin Gopalakrishnan Nair, Chun Pong Lau, Vishal M. Patel, Rama Chellappa:
Diffuse and Restore: A Region-Adaptive Diffusion Model for Identity-Preserving Blind Face Restoration. WACV 2024: 6331-6340 - [i211]Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh Sojoudi:
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers. CoRR abs/2402.02263 (2024) - [i210]Mo Zhou, Yiding Yang, Haoxiang Li, Vishal M. Patel, Gang Hua:
Deployment Prior Injection for Run-time Calibratable Object Detection. CoRR abs/2402.17207 (2024) - [i209]Wele Gedara Chaminda Bandara, Vishal M. Patel:
Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling. CoRR abs/2403.06978 (2024) - [i208]Vibashan VS, Shubhankar Borse, Hyojin Park, Debasmit Das, Vishal M. Patel, Munawar Hayat, Fatih Porikli:
PosSAM: Panoptic Open-vocabulary Segment Anything. CoRR abs/2403.09620 (2024) - [i207]Yiqun Mei, Yu Zeng, He Zhang, Zhixin Shu, Xuaner Zhang, Sai Bi, Jianming Zhang, Hyunjoon Jung, Vishal M. Patel:
Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image. CoRR abs/2403.09632 (2024) - [i206]Kartik Narayan, Vibashan VS, Rama Chellappa, Vishal M. Patel:
FaceXFormer: A Unified Transformer for Facial Analysis. CoRR abs/2403.12960 (2024) - [i205]Jiacong Xu, Mingqian Liao, K. Ram Prabhakar, Vishal M. Patel:
Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions. CoRR abs/2403.14053 (2024) - [i204]Quan Zhang, Lei Wang, Vishal M. Patel, Xiaohua Xie, Jianhuang Lai:
View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network. CoRR abs/2403.14513 (2024) - [i203]Aimon Rahman, Malsha V. Perera, Vishal M. Patel:
Frame by Familiar Frame: Understanding Replication in Video Diffusion Models. CoRR abs/2403.19593 (2024) - [i202]Kangfu Mei, Zhengzhong Tu, Mauricio Delbracio, Hossein Talebi, Vishal M. Patel, Peyman Milanfar:
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models. CoRR abs/2404.01367 (2024) - [i201]Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers. CoRR abs/2404.09976 (2024) - [i200]Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel:
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models. CoRR abs/2404.09977 (2024) - [i199]Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel:
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection. CoRR abs/2404.11737 (2024) - [i198]Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel:
Multimodal 3D Object Detection on Unseen Domains. CoRR abs/2404.11764 (2024) - [i197]Sina Sharifi, Taha Entesari, Bardia Safaei, Vishal M. Patel, Mahyar Fazlyab:
Gradient-Regularized Out-of-Distribution Detection. CoRR abs/2404.12368 (2024) - [i196]Kartik Narayan, Vishal M. Patel:
Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing. CoRR abs/2404.14406 (2024) - [i195]Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
Blackbox Adaptation for Medical Image Segmentation. CoRR abs/2405.10913 (2024) - [i194]Shao-Yuan Lo, Vishal M. Patel:
Adaptive Batch Normalization Networks for Adversarial Robustness. CoRR abs/2405.11708 (2024) - [i193]Nithin Gopalakrishnan Nair, Vishal M. Patel:
Dreamguider: Improved Training free Diffusion-based Conditional Generation. CoRR abs/2406.02549 (2024) - [i192]Jiacong Xu, Yiqun Mei, Vishal M. Patel:
Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections. CoRR abs/2406.10373 (2024) - [i191]Ke Zhang, Vishal M. Patel:
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation. CoRR abs/2406.13237 (2024) - [i190]Ruihuang Li, Liyi Chen, Zhengqiang Zhang, Varun Jampani, Vishal M. Patel, Lei Zhang:
SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing. CoRR abs/2406.17396 (2024) - [i189]Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji:
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation. CoRR abs/2407.06187 (2024) - [i188]Jay N. Paranjape, Celso de Melo, Vishal M. Patel:
A Mamba-based Siamese Network for Remote Sensing Change Detection. CoRR abs/2407.06839 (2024) - [i187]Yiqun Mei, Jiacong Xu, Vishal M. Patel:
Reference-based Controllable Scene Stylization with Gaussian Splatting. CoRR abs/2407.07220 (2024) - [i186]Ruihuang Li, Zhengqiang Zhang, Chenhang He, Zhiyuan Ma, Vishal M. Patel, Lei Zhang:
Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding. CoRR abs/2407.09781 (2024) - [i185]Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation. CoRR abs/2408.06447 (2024) - [i184]Sudarshan Rajagopalan, Vishal M. Patel:
AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning. CoRR abs/2409.00263 (2024) - [i183]Yilmaz Korkmaz, Vishal M. Patel:
I2I-Galip: Unsupervised Medical Image Translation Using Generative Adversarial CLIP. CoRR abs/2409.12399 (2024) - [i182]Yilmaz Korkmaz, Vishal M. Patel:
MambaRecon: MRI Reconstruction with Structured State Space Models. CoRR abs/2409.12401 (2024) - 2023
- [j87]Manuel J. Marín-Jiménez, Shiqi Yu, Yasushi Makihara, Vishal M. Patel, Maneet Singh, Maria De Marsico:
Editorial Introduction to the Special Issue on Biometrics at a Distance in the Deep Learning Era. IEEE J. Sel. Top. Signal Process. 17(3): 539-544 (2023) - [j86]Kangfu Mei, Vishal M. Patel:
LTT-GAN: Looking Through Turbulence by Inverting GANs. IEEE J. Sel. Top. Signal Process. 17(3): 587-598 (2023) - [j85]Malsha V. Perera, Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel:
SAR Despeckling Using a Denoising Diffusion Probabilistic Model. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j84]Xirui Hou, Pengfei Guo, Puyang Wang, Peiying Liu, Doris D. M. Lin, Hongli Fan, Yang Li, Zhiliang Wei, Zixuan Lin, Dengrong Jiang, Jin Jin, Catherine Kelly, Jay J. Pillai, Judy Huang, Marco C. Pinho, Binu P. Thomas, Babu G. Welch, Denise C. Park, Vishal M. Patel, Argye E. Hillis, Hanzhang Lu:
Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI. npj Digit. Medicine 6 (2023) - [j83]Shao-Yuan Lo, Poojan Oza, Vishal M. Patel:
Adversarially Robust One-Class Novelty Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4167-4179 (2023) - [j82]Rachael E. Jack, Vishal M. Patel, Pavan K. Turaga, Mayank Vatsa, Rama Chellappa, Alex Pentland, Richa Singh:
Best Paper Section IEEE International Conference on Automatic Face and Gesture Recognition 2021. IEEE Trans. Biom. Behav. Identity Sci. 5(3): 305-307 (2023) - [c201]Kangfu Mei, Vishal M. Patel:
VIDM: Video Implicit Diffusion Models. AAAI 2023: 9117-9125 - [c200]Nithin Gopalakrishnan Nair, Vishal M. Patel:
Uncertainty Aware Kernel Estimation and Edge Preserving Attention for Blind Image Deblurring. CAMSAP 2023: 366-370 - [c199]Yiqun Mei, He Zhang, Xuaner Zhang, Jianming Zhang, Zhixin Shu, Yilin Wang, Zijun Wei, Shi Yan, Hyunjoon Jung, Vishal M. Patel:
LightPainter: Interactive Portrait Relighting with Freehand Scribble. CVPR 2023: 195-205 - [c198]Vibashan VS, Poojan Oza, Vishal M. Patel:
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection. CVPR 2023: 3520-3530 - [c197]Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel:
Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models. CVPR 2023: 6070-6079 - [c196]Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel:
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation. CVPR 2023: 10534-10543 - [c195]Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel:
Ambiguous Medical Image Segmentation Using Diffusion Models. CVPR 2023: 11536-11546 - [c194]Wele Gedara Chaminda Bandara, Naman Patel, Ali Gholami, Mehdi Nikkhah, Motilal Agrawal, Vishal M. Patel:
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders. CVPR 2023: 14507-14517 - [c193]Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel:
SceneComposer: Any-Level Semantic Image Synthesis. CVPR 2023: 22468-22478 - [c192]Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu:
Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. CVPR 2023: 23539-23549 - [c191]Nithin Gopalakrishnan Nair, Vishal M. Patel:
T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models. FG 2023: 1-7 - [c190]Bardia Safaei, Vibashan VS, Celso M. de Melo, Shuowen Hu, Vishal M. Patel:
Open-Set Automatic Target Recognition. ICASSP 2023: 1-5 - [c189]Malsha V. Perera, Vishal M. Patel:
Analyzing Bias in Diffusion-based Face Generation Models. IJCB 2023: 1-10 - [c188]Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks:
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis. ICCV 2023: 20793-20803 - [c187]Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel:
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition. ICCV (Workshops) 2023: 2020-2030 - [c186]Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, Vishal Patel:
Interactive Portrait Harmonization. ICLR 2023 - [c185]Deepti Hegde, Velat Kilic, Vishwanath Sindagi, A. Brinton Cooper III, Mark A. Foster, Vishal M. Patel:
Source-free Unsupervised Domain Adaptation for 3D Object Detection in Adverse Weather. ICRA 2023: 6973-6980 - [c184]Nisarg A. Shah, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
sfGLSFormer: Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos. MICCAI (9) 2023: 386-396 - [c183]Yilmaz Korkmaz, Tolga Çukur, Vishal M. Patel:
Self-supervised MRI Reconstruction with Unrolled Diffusion Models. MICCAI (10) 2023: 491-501 - [c182]Jay N. Paranjape, Shameema Sikder, Vishal M. Patel, S. Swaroop Vedula:
Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos. MICCAI (1) 2023: 739-748 - [c181]Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel:
On-the-Fly Test-time Adaptation for Medical Image Segmentation. MIDL 2023: 586-598 - [c180]Pengfei Guo, Vishal M. Patel:
Reference-based MRI Reconstruction Using Texture Transformer. MIDL 2023: 599-616 - [c179]Vibashan VS, Poojan Oza, Vishal M. Patel:
Towards Online Domain Adaptive Object Detection. WACV 2023: 478-488 - [c178]Jeya Maria Jose Valanarasu, Vishal M. Patel:
Fine-Context Shadow Detection using Shadow Removal. WACV 2023: 1705-1714 - [i181]Huali Xu, Shuaifeng Zhi, Shuzhou Sun, Vishal M. Patel, Li Liu:
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey. CoRR abs/2303.08557 (2023) - [i180]Wele Gedara Chaminda Bandara, Vishal M. Patel:
Deep Metric Learning for Unsupervised Remote Sensing Change Detection. CoRR abs/2303.09536 (2023) - [i179]Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel:
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition. CoRR abs/2303.11313 (2023) - [i178]Yasiru Ranasinghe, Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel:
Diffuse-Denoise-Count: Accurate Crowd-Counting with Diffusion Models. CoRR abs/2303.12790 (2023) - [i177]Yiqun Mei, He Zhang, Xuaner Zhang, Jianming Zhang, Zhixin Shu, Yilin Wang, Zijun Wei, Shi Yan, Hyunjoon Jung, Vishal M. Patel:
LightPainter: Interactive Portrait Relighting with Freehand Scribble. CoRR abs/2303.12950 (2023) - [i176]Jeya Maria Jose Valanarasu, Rahul Garg, Andeep Toor, Xin Tong, Weijuan Xi, Andreas Lugmayr, Vishal M. Patel, Anne Menini:
ReBotNet: Fast Real-time Video Enhancement. CoRR abs/2303.13504 (2023) - [i175]Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel:
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation. CoRR abs/2303.14361 (2023) - [i174]Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu:
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. CoRR abs/2303.16891 (2023) - [i173]Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel:
Ambiguous Medical Image Segmentation using Diffusion Models. CoRR abs/2304.04745 (2023) - [i172]Malsha V. Perera, Vishal M. Patel:
Analyzing Bias in Diffusion-based Face Generation Models. CoRR abs/2305.06402 (2023) - [i171]Kangfu Mei, Mo Zhou, Vishal M. Patel:
T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities. CoRR abs/2305.14674 (2023) - [i170]Yu Zeng, Mo Zhou, Yuan Xue, Vishal M. Patel:
Securing Deep Generative Models with Universal Adversarial Signature. CoRR abs/2305.16310 (2023) - [i169]Yilmaz Korkmaz, Tolga Çukur, Vishal M. Patel:
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models. CoRR abs/2306.16654 (2023) - [i168]Nisarg A. Shah, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
GLSFormer: Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos. CoRR abs/2307.11081 (2023) - [i167]Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett A. Landman, Daguang Xu, Yufan He, Vishwesh Nath:
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. CoRR abs/2307.16896 (2023) - [i166]Jay N. Paranjape, Nithin Gopalakrishnan Nair, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation. CoRR abs/2308.03726 (2023) - [i165]Jay N. Paranjape, Shameema Sikder, Vishal M. Patel, S. Swaroop Vedula:
Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos. CoRR abs/2308.04035 (2023) - [i164]Pengfei Guo, Warren Richard Morningstar, Raviteja Vemulapalli, Karan Singhal, Vishal M. Patel, Philip Andrew Mansfield:
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout. CoRR abs/2309.05213 (2023) - [i163]Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks:
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis. CoRR abs/2310.00224 (2023) - [i162]Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar:
Conditional Diffusion Distillation. CoRR abs/2310.01407 (2023) - [i161]Wele Gedara Chaminda Bandara, Celso M. de Melo, Vishal M. Patel:
Guarding Barlow Twins Against Overfitting with Mixed Samples. CoRR abs/2312.02151 (2023) - [i160]Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel:
Latent Feature-Guided Diffusion Models for Shadow Removal. CoRR abs/2312.02156 (2023) - [i159]Bardia Safaei, Vibashan VS, Celso M. de Melo, Vishal M. Patel:
Entropic Open-set Active Learning. CoRR abs/2312.14126 (2023) - 2022
- [j81]Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Open-Set Adversarial Defense with Clean-Adversarial Mutual Learning. Int. J. Comput. Vis. 130(4): 1070-1087 (2022) - [j80]Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel:
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2594-2609 (2022) - [j79]Rajeev Yasarla, Vishal M. Patel:
CNN-Based Restoration of a Single Face Image Degraded by Atmospheric Turbulence. IEEE Trans. Biom. Behav. Identity Sci. 4(2): 222-233 (2022) - [j78]Zhangyang Wang, Vishal Patel, Bing Yao, Steve B. Jiang, Huimin Lu, Yang Shen:
Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics. IEEE Trans. Circuits Syst. Video Technol. 32(