Vishal M. Patel

research

∙ 09/11/2023

Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout

Large machine learning models trained on diverse data have recently seen...

0 Pengfei Guo, et al. ∙

research

∙ 08/07/2023

AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation

Segmentation is a fundamental problem in surgical scene analysis using a...

0 Jay N. Paranjape, et al. ∙

research

∙ 07/31/2023

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training

Harnessing the power of pre-training on large-scale datasets like ImageN...

0 Jeya Maria Jose Valanarasu, et al. ∙

research

∙ 07/20/2023

GLSFormer: Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos

Automated surgical step recognition is an important task that can signif...

0 Nisarg A. Shah, et al. ∙

research

∙ 05/25/2023

Securing Deep Generative Models with Universal Adversarial Signature

Recent advances in deep generative models have led to the development of...

0 Yu Zeng, et al. ∙

research

∙ 05/24/2023

T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities

Diffusion Probabilistic Field (DPF) models the distribution of continuou...

0 Kangfu Mei, et al. ∙

research

∙ 05/10/2023

Analyzing Bias in Diffusion-based Face Generation Models

Diffusion models are becoming increasingly popular in synthetic data gen...

0 Malsha V. Perera, et al. ∙

research

∙ 04/10/2023

Ambiguous Medical Image Segmentation using Diffusion Models

Collective insights from a group of experts have always proven to outper...

0 Aimon Rahman, et al. ∙

research

∙ 03/29/2023

Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations

Existing instance segmentation models learn task-specific information us...

0 Vibashan VS, et al. ∙

research

∙ 03/25/2023

Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation

Unsupervised Domain Adaptation (UDA) of semantic segmentation transfers ...

0 Shao-Yuan Lo, et al. ∙

research

∙ 03/22/2023

LightPainter: Interactive Portrait Relighting with Freehand Scribble

Recent portrait relighting methods have achieved realistic results of po...

0 Yiqun Mei, et al. ∙

research

∙ 03/22/2023

Diffuse-Denoise-Count: Accurate Crowd-Counting with Diffusion Models

Crowd counting is a key aspect of crowd analysis and has been typically ...

0 Yasiru Ranasinghe, et al. ∙

research

∙ 03/20/2023

CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition

Vision-Language models like CLIP have been widely adopted for various ta...

0 Deepti Hegde, et al. ∙

research

∙ 03/16/2023

Deep Metric Learning for Unsupervised Remote Sensing Change Detection

Remote Sensing Change Detection (RS-CD) aims to detect relevant changes ...

0 Wele Gedara Chaminda Bandara, et al. ∙

research

∙ 03/15/2023

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey

Deep learning has been highly successful in computer vision with large a...

0 Huali Xu, et al. ∙

research

∙ 12/14/2022

Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors

Conditional diffusion probabilistic models can model the distribution of...

0 Kangfu Mei, et al. ∙

research

∙ 12/01/2022

Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models

Generating photos satisfying multiple constraints find broad utility in ...

0 Nithin Gopalakrishnan Nair, et al. ∙

research

∙ 12/01/2022

VIDM: Video Implicit Diffusion Models

Diffusion models have emerged as a powerful generative method for synthe...

0 Kangfu Mei, et al. ∙

research

∙ 11/16/2022

AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders

Masked Autoencoders (MAEs) learn generalizable representations for image...

0 Wele Gedara Chaminda Bandara, et al. ∙

research

∙ 11/10/2022

Open-Set Automatic Target Recognition

Automatic Target Recognition (ATR) is a category of computer vision algo...

0 Bardia Safaei, et al. ∙

research

∙ 09/20/2022

NBD-GAP: Non-Blind Image Deblurring Without Clean Target Images

In recent years, deep neural network-based restoration methods have achi...

6 Nithin Gopalakrishnan Nair, et al. ∙

research

∙ 09/19/2022

T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models

Modern-day surveillance systems perform person recognition using deep le...

0 Nithin Gopalakrishnan Nair, et al. ∙

research

∙ 08/24/2022

AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models

Although many long-range imaging systems are designed to support extende...

0 Nithin Gopalakrishnan Nair, et al. ∙

research

∙ 07/30/2022

Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation

Monocular depth estimation (MDE) has attracted intense study due to its ...

0 Shao-Yuan Lo, et al. ∙

research

∙ 07/19/2022

Deep Semantic Statistics Matching (D2SM) Denoising Network

The ultimate aim of image restoration like denoising is to find an exact...

0 Kangfu Mei, et al. ∙

research

∙ 07/07/2022

Learning to restore images degraded by atmospheric turbulence using uncertainty

Atmospheric turbulence can significantly degrade the quality of images a...

0 Rajeev Yasarla, et al. ∙

research

∙ 06/23/2022

DDPM-CD: Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

Human civilization has an increasingly powerful influence on the earth s...

0 Wele Gedara Chaminda Bandara, et al. ∙

research

∙ 06/16/2022

Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

Due to imaging artifacts and low signal-to-noise ratio in ultrasound ima...

0 Aimon Rahman, et al. ∙

research

∙ 06/16/2022

Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency

Segmenting both bone surface and the corresponding acoustic shadow are f...

0 Aimon Rahman, et al. ∙

research

∙ 06/10/2022

Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models

Image synthesis under multi-modal priors is a useful and challenging tas...

0 Nithin Gopalakrishnan Nair, et al. ∙

research

∙ 06/09/2022

SAR Despeckling using a Denoising Diffusion Probabilistic Model

Speckle is a multiplicative noise which affects all coherent imaging mod...

0 Malsha V. Perera, et al. ∙

research

∙ 05/31/2022

SAR Despeckling Using Overcomplete Convolutional Networks

Synthetic Aperture Radar (SAR) despeckling is an important problem in re...

0 Malsha V. Perera, et al. ∙

research

∙ 05/19/2022

On Trace of PGD-Like Adversarial Attacks

Adversarial attacks pose safety and security concerns for deep learning ...

5 Mo Zhou, et al. ∙

research

∙ 04/23/2022

Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN

Existing approaches for restoring weather-degraded images follow a fully...

0 Rajeev Yasarla, et al. ∙

research

∙ 04/19/2022

A comparison of different atmospheric turbulence simulation methods for image restoration

Atmospheric turbulence deteriorates the quality of images captured by lo...

0 Nithin Gopalakrishnan Nair, et al. ∙

research

∙ 04/18/2022

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

Remote-sensing (RS) Change Detection (CD) aims to detect "changes of int...

0 Wele Gedara Chaminda Bandara, et al. ∙

research

∙ 04/16/2022

Shape-guided Object Inpainting

Previous works on image inpainting mainly focus on inpainting background...

0 Yu Zeng, et al. ∙

research

∙ 04/11/2022

Towards Online Domain Adaptive Object Detection

Existing object detection models assume both the training and test data ...

0 Vibashan VS, et al. ∙

research

∙ 04/06/2022

Thermal to Visible Image Synthesis under Atmospheric Turbulence

In many practical applications of long-range imaging such as biometrics ...

0 Kangfu Mei, et al. ∙

research

∙ 03/30/2022

Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination

In Heterogeneous Face Recognition (HFR), the objective is to match faces...

0 Yiqun Mei, et al. ∙

research

∙ 03/29/2022

Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection

Unsupervised Domain Adaptation (UDA) is an effective approach to tackle ...

0 Vibashan VS, et al. ∙

research

∙ 03/29/2022

Target and Task specific Source-Free Domain Adaptive Image Segmentation

Solving the domain shift problem during inference is essential in medica...

0 Vibashan VS, et al. ∙

research

∙ 03/12/2022

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation

Federated learning (FL) is a distributed machine learning technique that...

0 Pengfei Guo, et al. ∙

research

∙ 03/10/2022

On-the-Fly Test-time Adaptation for Medical Image Segmentation

One major problem in deep learning-based solutions for medical imaging i...

0 Jeya Maria Jose Valanarasu, et al. ∙

research

∙ 03/09/2022

UNeXt: MLP-based Rapid Medical Image Segmentation Network

UNet and its latest extensions like TransUNet have been the leading medi...

0 Jeya Maria Jose Valanarasu, et al. ∙

research

∙ 03/04/2022

HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening

Pansharpening aims to fuse a registered high-resolution panchromatic ima...

0 Wele Gedara Chaminda Bandara, et al. ∙

research

∙ 03/02/2022

Enhancing Adversarial Robustness for Deep Metric Learning

Owing to security implications of adversarial vulnerability, adversarial...

12 Mo Zhou, et al. ∙

research

∙ 02/18/2022

Exploring Adversarially Robust Training for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) methods aim to transfer knowledge f...

0 Shao-Yuan Lo, et al. ∙

research

∙ 02/12/2022

Open-set Adversarial Defense with Clean-Adversarial Mutual Learning

Open-set recognition and adversarial defense study two key aspects of de...

0 Rui Shao, et al. ∙

research

∙ 01/23/2022

ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer

Accelerating magnetic resonance image (MRI) reconstruction process is a ...

0 Pengfei Guo, et al. ∙

Vishal M. Patel

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