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09/16/2023
Unsupervised Green Object Tracker (GOT) without Offline Pre-training
Supervised trackers trained on labeled data dominate the single object t...
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08/23/2023
SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets
Scene understanding using multi-modal data is necessary in many applicat...
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04/25/2023
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints
Ensuring the realism of computer-generated synthetic images is crucial t...
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04/24/2023
A Study on Improving Realism of Synthetic Data for Machine Learning
Synthetic-to-real data translation using generative adversarial learning...
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02/16/2023
Frequency-domain Learning for Volumetric-based 3D Data Perception
Frequency-domain learning draws attention due to its superior tradeoff b...
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02/16/2023
TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation
In this work, we target the problem of uncertain points refinement for i...
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01/18/2023
DDS: Decoupled Dynamic Scene-Graph Generation Network
Scene-graph generation involves creating a structural representation of ...
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12/08/2022
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction
This work introduces alternating latent topologies (ALTO) for high-fidel...
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11/08/2022
Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning
Motivated by the increasing application of low-resolution LiDAR recently...
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07/15/2022
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences
Supervised and unsupervised deep trackers that rely on deep learning tec...
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06/22/2022
Towards Ground Truth for Single Image Deraining
We propose a large-scale dataset of real-world rainy and clean image pai...
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04/30/2022
DefakeHop++: An Enhanced Lightweight Deepfake Detector
On the basis of DefakeHop, an enhanced lightweight Deepfake detector cal...
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11/15/2021
Unsupervised Lightweight Single Object Tracking with UHP-SOT++
An unsupervised, lightweight and high-performance single object tracker,...
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10/19/2021
Geo-DefakeHop: High-Performance Geographic Fake Image Detection
A robust fake satellite image detection method, called Geo-DefakeHop, is...
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10/07/2021
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning
Object detectors trained on large-scale RGB datasets are being extensive...
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10/05/2021
UHP-SOT: An Unsupervised High-Performance Single Object Tracker
An unsupervised online object tracking method that exploits both foregro...
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08/02/2021
GTNet:Guided Transformer Network for Detecting Human-Object Interactions
The human-object interaction (HOI) detection task refers to localizing h...
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03/31/2021
Evaluation of Multimodal Semantic Segmentation using RGB-D Data
Our goal is to develop stable, accurate, and robust semantic scene under...
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03/27/2021
CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networks
Current perception systems often carry multimodal imagers and sensors su...
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03/11/2021
DefakeHop: A Light-Weight High-Performance Deepfake Detector
A light-weight high-performance Deepfake detection method, called Defake...
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11/23/2020
Low-Resolution Face Recognition In Resource-Constrained Environments
A non-parametric low-resolution face recognition model for resource-cons...
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10/15/2020
Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach
The construction of a multilayer perceptron (MLP) as a piecewise low-ord...
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09/09/2020
From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design
A closed-form solution exists in two-class linear discriminant analysis ...
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07/18/2020
FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method
A light-weight low-resolution face gender classification method, called ...
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02/13/2020
Object Detection on Single Monocular Images through Canonical Correlation Analysis
Without using extra 3-D data like points cloud or depth images for provi...
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02/08/2020
PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification
The successive subspace learning (SSL) principle was developed and used ...
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06/21/2019
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
In this paper, we propose our Correlation For Completion Network (CFCNet...
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02/25/2019
Visualization, Discriminability and Applications of Interpretable Saak Features
In this work, we study the power of Saak features as an effort towards i...
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02/07/2019
Robustness Of Saak Transform Against Adversarial Attacks
Image classification is vulnerable to adversarial attacks. This work inv...
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01/23/2018
Learning to Prune Filters in Convolutional Neural Networks
Many state-of-the-art computer vision algorithms use large scale convolu...
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11/17/2017
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks
Recent advances in convolutional neural networks have shown promising re...
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11/22/2016
