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09/07/2023
Multimodal Transformer for Material Segmentation
Leveraging information across diverse modalities is known to enhance per...
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04/13/2023
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos
Existing implicit neural representation (INR) methods do not fully explo...
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03/25/2023
Ensemble-based Blackbox Attacks on Dense Prediction
We propose an approach for adversarial attacks on dense prediction model...
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03/23/2023
Disguise without Disruption: Utility-Preserving Face De-Identification
With the increasing ubiquity of cameras and smart sensors, humanity is g...
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03/10/2023
Compressive Sensing with Tensorized Autoencoder
Deep networks can be trained to map images into a low-dimensional latent...
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12/15/2022
Efficient Visual Computing with Camera RAW Snapshots
Conventional cameras capture image irradiance on a sensor and convert it...
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09/20/2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
State-of-the-art generative model-based attacks against image classifier...
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09/20/2022
GAMA: Generative Adversarial Multi-Object Scene Attacks
The majority of methods for crafting adversarial attacks have focused on...
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08/07/2022
Blackbox Attacks via Surrogate Ensemble Search
Blackbox adversarial attacks can be categorized into transfer- and query...
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08/04/2022
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System
High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to ...
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07/19/2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task learning (ITL) is a category of continual learning that...
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04/11/2022
Event Transformer
The event camera is a bio-vision inspired camera with high dynamic range...
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03/29/2022
Zero-Query Transfer Attacks on Context-Aware Object Detectors
Adversarial attacks perturb images such that a deep neural network produ...
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03/03/2022
Provable and Efficient Continual Representation Learning
In continual learning (CL), the goal is to design models that can learn ...
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12/06/2021
Context-Aware Transfer Attacks for Object Detection
Blackbox transfer attacks for image classifiers have been extensively st...
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11/25/2021
Coded Illumination for Improved Lensless Imaging
Mask-based lensless cameras can be flat, thin and light-weight, which ma...
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10/24/2021
ADC: Adversarial attacks against object Detection that evade Context consistency checks
Deep Neural Networks (DNNs) have been shown to be vulnerable to adversar...
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10/05/2021
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
When compared to the image classification models, black-box adversarial ...
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08/19/2021
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes
Vision systems that deploy Deep Neural Networks (DNNs) are known to be v...
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08/18/2021
A Simple Framework for 3D Lensless Imaging with Programmable Masks
Lensless cameras provide a framework to build thin imaging systems by re...
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06/07/2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
The plug-and-play priors (PnP) and regularization by denoising (RED) met...
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05/13/2021
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models
The traditional approach of hand-crafting priors (such as sparsity) for ...
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03/04/2021
Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception
Distortion quantification of point clouds plays a stealth, yet vital rol...
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07/29/2020
Solving Phase Retrieval with a Learned Reference
Fourier phase retrieval is a classical problem that deals with the recov...
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03/21/2020
Non-Adversarial Video Synthesis with Learned Priors
Most of the existing works in video synthesis focus on generating videos...
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10/06/2019
Joint Image and Depth Estimation with Mask-Based Lensless Cameras
Mask-based lensless cameras replace the lens of a conventional camera wi...
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09/28/2019
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition
This paper presents a dual camera system for high spatiotemporal resolut...
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03/07/2019
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval
The classical problem of phase retrieval arises in various signal acquis...
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02/25/2019
Generative Models for Low-Rank Video Representation and Reconstruction
Finding compact representation of videos is an essential component in al...
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07/17/2018
Phase Retrieval for Signals in Union of Subspaces
We consider the phase retrieval problem for signals that belong to a uni...
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11/09/2017
Toward Depth Estimation Using Mask-Based Lensless Cameras
Recently, coded masks have been used to demonstrate a thin form-factor l...
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09/01/2015
FlatCam: Thin, Bare-Sensor Cameras using Coded Aperture and Computation
FlatCam is a thin form-factor lensless camera that consists of a coded m...
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04/16/2015
FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared
Cameras for imaging in short and mid-wave infrared spectra are significa...
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06/14/2013
Sparse Recovery of Streaming Signals Using L1-Homotopy
Most of the existing methods for sparse signal recovery assume a static ...
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08/03/2012