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07/27/2023
GADER: GAit DEtection and Recognition in the Wild
Gait recognition holds the promise of robustly identifying subjects base...
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07/11/2023
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone
Video-language pre-training (VLP) has become increasingly important due ...
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05/23/2023
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
The increasingly pervasive facial recognition (FR) systems raise serious...
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05/22/2023
Attribute-Guided Encryption with Facial Texture Masking
The increasingly pervasive facial recognition (FR) systems raise serious...
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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...
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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...
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01/02/2023
STEPs: Self-Supervised Key Step Extraction from Unlabeled Procedural Videos
We address the problem of extracting key steps from unlabeled procedural...
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12/17/2022
A Brief Survey on Person Recognition at a Distance
Person recognition at a distance entails recognizing the identity of an ...
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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...
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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...
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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 ...
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10/08/2022
Multi-Modal Human Authentication Using Silhouettes, Gait and RGB
Whole-body-based human authentication is a promising approach for remote...
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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...
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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...
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05/16/2022
Scalable Vehicle Re-Identification via Self-Supervision
As Computer Vision technologies become more mature for intelligent trans...
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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...
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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...
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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...
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03/08/2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
Magnetic Resonance (MR) image reconstruction from under-sampled acquisit...
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01/12/2022
Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach
Research shows a noticeable drop in performance of object detectors when...
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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...
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12/21/2021
Max-Margin Contrastive Learning
Standard contrastive learning approaches usually require a large number ...
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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 ...
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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...
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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...
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12/09/2021
Mutual Adversarial Training: Learning together is better than going alone
Recent studies have shown that robustness to adversarial attacks can be ...
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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...
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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...
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10/26/2021
Self-Denoising Neural Networks for Few Shot Learning
In this paper, we introduce a new architecture for few shot learning, th...
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10/13/2021
Identification of Attack-Specific Signatures in Adversarial Examples
The adversarial attack literature contains a myriad of algorithms for cr...
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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...
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09/21/2021
Finding Facial Forgery Artifacts with Parts-Based Detectors
Manipulated videos, especially those where the identity of an individual...
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08/21/2021
A Synthesis-Based Approach for Thermal-to-Visible Face Verification
In recent years, visible-spectrum face verification systems have been sh...
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08/09/2021
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition
Face recognition networks encode information about sensitive attributes ...
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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...
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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...
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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...
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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...
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01/30/2021
Cortical Features for Defense Against Adversarial Audio Attacks
We propose using a computational model of the auditory cortex as a defen...
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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...
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10/16/2020
Pose And Joint-Aware Action Recognition
Most human action recognition systems typically consider static appearan...
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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...
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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...
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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...
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08/27/2020
Visual Question Answering on Image Sets
We introduce the task of Image-Set Visual Question Answering (ISVQA), wh...
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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...
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05/12/2020
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition
Recognizing the expressions of partially occluded faces is a challenging...
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04/30/2020
The 4th AI City Challenge
The AI City Challenge was created to accelerate intelligent video analys...
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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...
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04/09/2020