Rama Chellappa

research

∙ 05/23/2023

DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection

The increasingly pervasive facial recognition (FR) systems raise serious...

0 Jiang Liu, et al. ∙

research

∙ 05/22/2023

Attribute-Guided Encryption with Facial Texture Masking

The increasingly pervasive facial recognition (FR) systems raise serious...

0 Chun Pong Lau, et al. ∙

research

∙ 04/11/2023

MOST: Multiple Object localization with Self-supervised Transformers for object discovery

We tackle the challenging task of unsupervised object localization in th...

0 Sai Saketh Rambhatla, et al. ∙

research

∙ 03/17/2023

Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances

Human action recognition is a challenging problem, particularly when the...

0 Arun V. Reddy, et al. ∙

research

∙ 01/02/2023

STEPs: Self-Supervised Key Step Extraction from Unlabeled Procedural Videos

We address the problem of extracting key steps from unlabeled procedural...

0 Anshul Shah, et al. ∙

research

∙ 12/17/2022

A Brief Survey on Person Recognition at a Distance

Person recognition at a distance entails recognizing the identity of an ...

0 Chrisopher B. Nalty, et al. ∙

research

∙ 12/11/2022

DiffAlign : Few-shot learning using diffusion based synthesis and alignment

We address the problem of few-shot classification where the goal is to l...

0 Aniket Roy, et al. ∙

research

∙ 10/17/2022

Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning

Federated learning is particularly susceptible to model poisoning and ba...

6 Yuxin Wen, et al. ∙

research

∙ 10/11/2022

DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images

Medical image super-resolution (SR) is an active research area that has ...

0 Cheng Peng, et al. ∙

research

∙ 10/08/2022

Multi-Modal Human Authentication Using Silhouettes, Gait and RGB

Whole-body-based human authentication is a promising approach for remote...

0 Yuxiang Guo, et al. ∙

research

∙ 08/17/2022

PDRF: Progressively Deblurring Radiance Field for Fast and Robust Scene Reconstruction from Blurry Images

We present Progressively Deblurring Radiance Field (PDRF), a novel appro...

0 Cheng Peng, et al. ∙

research

∙ 08/17/2022

REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition

It is a long-standing challenge to reconstruct Cone Beam Computed Tomogr...

16 Cheng Peng, et al. ∙

research

∙ 05/16/2022

Scalable Vehicle Re-Identification via Self-Supervision

As Computer Vision technologies become more mature for intelligent trans...

0 Pirazh Khorramshahi, et al. ∙

research

∙ 04/29/2022

Where in the World is this Image? Transformer-based Geo-localization in the Wild

Predicting the geographic location (geo-localization) from a single grou...

7 Shraman Pramanick, et al. ∙

research

∙ 04/16/2022

Multimodal Few-Shot Object Detection with Meta-Learning Based Cross-Modal Prompting

We study multimodal few-shot object detection (FSOD) in this paper, usin...

0 Guangxing Han, et al. ∙

research

∙ 04/15/2022

Scalable and Real-time Multi-Camera Vehicle Detection, Re-Identification, and Tracking

Multi-camera vehicle tracking is one of the most complicated tasks in Co...

0 Pirazh Khorramshahi, et al. ∙

research

∙ 03/08/2022

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

Magnetic Resonance (MR) image reconstruction from under-sampled acquisit...

0 Cheng Peng, et al. ∙

research

∙ 01/12/2022

Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach

Research shows a noticeable drop in performance of object detectors when...

0 Sai Saketh Rambhatla, et al. ∙

research

∙ 12/22/2021

EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images

A practical eye authentication (EA) system targeted for edge devices nee...

0 Prithviraj Dhar, et al. ∙

research

∙ 12/21/2021

Max-Margin Contrastive Learning

Standard contrastive learning approaches usually require a large number ...

0 Anshul Shah, et al. ∙

research

∙ 12/20/2021

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

Semantic segmentation of 3D medical images is a challenging task due to ...

0 Cheng Peng, et al. ∙

research

∙ 12/17/2021

Distill and De-bias: Mitigating Bias in Face Recognition using Knowledge Distillation

Face recognition networks generally demonstrate bias with respect to sen...

6 Prithviraj Dhar, et al. ∙

research

∙ 12/12/2021

Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses

Adversarial training (AT) is considered to be one of the most reliable d...

1 Chun Pong Lau, et al. ∙

research

∙ 12/09/2021

Mutual Adversarial Training: Learning together is better than going alone

Recent studies have shown that robustness to adversarial attacks can be ...

6 Jiang Liu, et al. ∙

research

∙ 12/08/2021

Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection

Object detection plays a key role in many security-critical systems. Adv...

7 Jiang Liu, et al. ∙

research

∙ 10/31/2021

Recognizing Families In the Wild (RFIW): The 5th Edition

Recognizing Families In the Wild (RFIW), held as a data challenge in con...

0 Joseph P. Robinson, et al. ∙

research

∙ 10/26/2021

Self-Denoising Neural Networks for Few Shot Learning

In this paper, we introduce a new architecture for few shot learning, th...

0 Steven Schwarcz, et al. ∙

research

∙ 10/13/2021

Identification of Attack-Specific Signatures in Adversarial Examples

The adversarial attack literature contains a myriad of algorithms for cr...

0 Hossein Souri, et al. ∙

research

∙ 09/29/2021

LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network

Face super-resolution is a challenging and highly ill-posed problem sinc...

0 Nitin Balachandran, et al. ∙

research

∙ 09/21/2021

Finding Facial Forgery Artifacts with Parts-Based Detectors

Manipulated videos, especially those where the identity of an individual...

4 Steven Schwarcz, et al. ∙

research

∙ 08/21/2021

A Synthesis-Based Approach for Thermal-to-Visible Face Verification

In recent years, visible-spectrum face verification systems have been sh...

2 Neehar Peri, et al. ∙

research

∙ 08/09/2021

PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition

Face recognition networks encode information about sensitive attributes ...

9 Prithviraj Dhar, et al. ∙

research

∙ 07/28/2021

To Boost or not to Boost: On the Limits of Boosted Neural Networks

Boosting is a method for finding a highly accurate hypothesis by linearl...

0 Sai Saketh Rambhatla, et al. ∙

research

∙ 06/16/2021

Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch

As the curation of data for machine learning becomes increasingly automa...

3 Hossein Souri, et al. ∙

research

∙ 05/16/2021

Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer

Urban material recognition in remote sensing imagery is a highly relevan...

0 Arthita Ghosh, et al. ∙

research

∙ 05/04/2021

The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory

We tackle object category discovery, which is the problem of discovering...

0 Sai Saketh Rambhatla, et al. ∙

research

∙ 01/30/2021

Cortical Features for Defense Against Adversarial Audio Attacks

We propose using a computational model of the auditory cortex as a defen...

0 Ilya Kavalerov, et al. ∙

research

∙ 12/04/2020

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors

A radiograph visualizes the internal anatomy of a patient through the us...

0 Cheng Peng, et al. ∙

research

∙ 10/16/2020

Pose And Joint-Aware Action Recognition

Most human action recognition systems typically consider static appearan...

0 Anshul Shah, et al. ∙

research

∙ 10/12/2020

Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation

Optimal Transport (OT) distances such as Wasserstein have been used in s...

0 Yogesh Balaji, et al. ∙

research

∙ 09/24/2020

GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue

Building on the success of deep learning, Generative Adversarial Network...

0 Pirazh Khorramshahi, et al. ∙

research

∙ 09/05/2020

Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks

Adversarial training is a popular defense strategy against attack threat...

10 Wei-An Lin, et al. ∙

research

∙ 08/27/2020

Visual Question Answering on Image Sets

We introduce the task of Image-Set Visual Question Answering (ISVQA), wh...

1 Ankan Bansal, et al. ∙

research

∙ 06/14/2020

An adversarial learning algorithm for mitigating gender bias in face recognition

State-of-the-art face recognition networks implicitly encode gender info...

9 Prithviraj Dhar, et al. ∙

research

∙ 05/12/2020

Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition

Recognizing the expressions of partially occluded faces is a challenging...

0 Hui Ding, et al. ∙

research

∙ 04/30/2020

The 4th AI City Challenge

The AI City Challenge was created to accelerate intelligent video analys...

0 Milind Naphade, et al. ∙

research

∙ 04/14/2020

The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification

In recent years, the research community has approached the problem of ve...

7 Pirazh Khorramshahi, et al. ∙

research

∙ 04/09/2020

Spatial Priming for Detecting Human-Object Interactions

The relative spatial layout of a human and an object is an important cue...

1 Ankan Bansal, et al. ∙

research

∙ 02/15/2020

Recognizing Families In the Wild (RFIW): The 4th Edition

Recognizing Families In the Wild (RFIW): an annual large-scale, multi-tr...

0 Joseph P. Robinson, et al. ∙

research

∙ 12/09/2019

cGANs with Multi-Hinge Loss

We propose a new algorithm to incorporate class conditional information ...

23 Ilya Kavalerov, et al. ∙

Rama Chellappa

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