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06/07/2023
Neural Symbolic Regression using Control Variables
Symbolic regression (SR) is a powerful technique for discovering the ana...
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01/29/2023
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid
Deep Neural Networks have proven to be highly accurate at a variety of t...
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07/11/2021
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking
3D multi-object tracking is a crucial component in the perception system...
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02/17/2021
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids
False data injection attack (FDIA) is a critical security issue in power...
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11/10/2020
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
The perception system in autonomous vehicles is responsible for detectin...
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09/17/2020
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles
In this paper we present a novel radar-camera sensor fusion framework fo...
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08/19/2020
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification
Hyperspectral image (HSI) classification is one of the most active resea...
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07/21/2020
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery
Land cover classification of satellite imagery is an important step towa...
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06/16/2020
Unsupervised Pansharpening Based on Self-Attention Mechanism
Pansharpening is to fuse a multispectral image (MSI) of low-spatial-reso...
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08/30/2019
Context Aware Road-user Importance Estimation (iCARE)
Road-users are a critical part of decision-making for both self-driving ...
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08/25/2019
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
Person re-identification (re-ID) is the task of matching person images a...
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07/24/2019
One-Shot Mutual Affine-Transfer for Photorealistic Stylization
Photorealistic style transfer aims to transfer the style of a reference ...
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05/16/2019
Investigating Channel Pruning through Structural Redundancy Reduction - A Statistical Study
Most existing channel pruning methods formulate the pruning task from a ...
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05/01/2019
RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles
Region proposal algorithms play an important role in most state-of-the-a...
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04/27/2019
Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
Hyperspectral images (HSI) provide rich spectral information that contri...
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03/03/2019
Image Super-Resolution by Neural Texture Transfer
Due to the significant information loss in low-resolution (LR) images, i...
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02/18/2019
Speeding up convolutional networks pruning with coarse ranking
Channel-based pruning has achieved significant successes in accelerating...
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02/18/2019
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers
Channel pruning has been identified as an effective approach to construc...
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12/03/2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Federated learning, i.e., a mobile edge computing framework for deep lea...
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06/24/2018
Attention-based Few-Shot Person Re-identification Using Meta Learning
In this paper, we investigate the challenging task of person re-identifi...
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05/05/2018
Fast-converging Conditional Generative Adversarial Networks for Image Synthesis
Building on top of the success of generative adversarial networks (GANs)...
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04/13/2018
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
In many computer vision applications, obtaining images of high resolutio...
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04/13/2018
Talking Face Generation by Conditional Recurrent Adversarial Network
Given an arbitrary face image and an arbitrary speech clip, the proposed...
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04/10/2018
Reference-Conditioned Super-Resolution by Neural Texture Transfer
With the recent advancement in deep learning, we have witnessed a great ...
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04/04/2018
Discriminative Cross-View Binary Representation Learning
Learning compact representation is vital and challenging for large scale...
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01/21/2018
Decoupled Learning for Conditional Adversarial Networks
Incorporating encoding-decoding nets with adversarial nets has been wide...
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07/23/2017
Person Re-identification Using Visual Attention
Despite recent attempts for solving the person re-identification problem...
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06/02/2017
r-BTN: Cross-domain Face Composite and Synthesis from Limited Facial Patches
We start by asking an interesting yet challenging question, "If an eyewi...
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05/30/2017
Addressing Ambiguity in Multi-target Tracking by Hierarchical Strategy
This paper presents a novel hierarchical approach for the simultaneous t...
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05/30/2017
Multi-View Task-Driven Recognition in Visual Sensor Networks
Nowadays, distributed smart cameras are deployed for a wide set of tasks...
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04/24/2017
Non-Intrusive Energy Disaggregation Using Non-negative Matrix Factorization with Sum-to-k Constraint
Energy disaggregation or Non-Intrusive Load Monitoring (NILM) addresses ...
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03/15/2017
End-to-end Binary Representation Learning via Direct Binary Embedding
Learning binary representation is essential to large-scale computer visi...
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02/27/2017
Age Progression/Regression by Conditional Adversarial Autoencoder
"If I provide you a face image of mine (without telling you the actual a...
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12/19/2016
Feature Encoding in Band-limited Distributed Surveillance Systems
Distributed surveillance systems have become popular in recent years due...
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07/12/2013