b'Jing Wu'

research

∙ 08/09/2023

A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision

Existing model evaluation tools mainly focus on evaluating classificatio...

0 Changjian Chen, et al. ∙

research

∙ 08/06/2023

Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning

Recent studies of two-view correspondence learning usually establish an ...

0 Linbo Wang, et al. ∙

research

∙ 07/27/2023

GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing

Classifying and segmenting patterns from a limited number of examples is...

0 Jing Wu, et al. ∙

research

∙ 07/22/2023

Hallucination Improves the Performance of Unsupervised Visual Representation Learning

Contrastive learning models based on Siamese structure have demonstrated...

0 Jing Wu, et al. ∙

research

∙ 06/01/2023

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems

More and more edge devices and mobile apps are leveraging deep learning ...

0 Mingyi Zhou, et al. ∙

research

∙ 03/09/2023

Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective

As a popular concept proposed in the field of psychology, affordance has...

0 Xintong Yang, et al. ∙

research

∙ 02/28/2023

Double Dynamic Sparse Training for GANs

The past decade has witnessed a drastic increase in modern deep neural n...

0 Yite Wang, et al. ∙

research

∙ 09/20/2022

Optimizing Crop Management with Reinforcement Learning and Imitation Learning

Crop management, including nitrogen (N) fertilization and irrigation man...

7 Ran Tao, et al. ∙

research

∙ 09/13/2022

Defense against Privacy Leakage in Federated Learning

Federated Learning (FL) provides a promising distributed learning paradi...

0 Jing Wu, et al. ∙

research

∙ 07/19/2022

Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning

Although Deep Reinforcement Learning (DRL) has been popular in many disc...

0 Xintong Yang, et al. ∙

research

∙ 06/19/2022

A Unified Understanding of Deep NLP Models for Text Classification

The rapid development of deep natural language processing (NLP) models f...

0 Zhen Li, et al. ∙

research

∙ 06/13/2022

Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling

Despite the extensive studies on Generative Adversarial Networks (GANs),...

1 Yuanbang Liang, et al. ∙

research

∙ 04/21/2022

Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations

Nitrogen (N) management is critical to sustain soil fertility and crop p...

0 Jing Wu, et al. ∙

research

∙ 09/14/2021

On the bilateral preconditioning for an L2-type all-at-once system arising from time-space fractional Bloch-Torrey equations

Time-space fractional Bloch-Torrey equations (TSFBTEs) are developed by ...

0 Yong-Liang Zhao, et al. ∙

research

∙ 05/12/2021

An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet

This work re-implements the OpenAI Gym multi-goal robotic manipulation e...

0 Xintong Yang, et al. ∙

research

∙ 04/22/2021

Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions

Recently, adversarial attack methods have been developed to challenge th...

0 Jing Wu, et al. ∙

research

∙ 03/02/2021

A Survey On Universal Adversarial Attack

Deep neural networks (DNNs) have demonstrated remarkable performance for...

0 Chaoning Zhang, et al. ∙

research

∙ 12/23/2020

A Principle Solution for Enroll-Test Mismatch in Speaker Recognition

Mismatch between enrollment and test conditions causes serious performan...

0 Lantian Li, et al. ∙

research

∙ 12/17/2020

Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions

Group-based social dominance hierarchies are of essential interest in an...

0 Owen G. Ward, et al. ∙

research

∙ 12/07/2020

A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs)

Learning from demonstration (LfD) is a powerful learning method to enabl...

0 Qian Luo, et al. ∙

research

∙ 09/15/2020

Decision-based Universal Adversarial Attack

A single perturbation can pose the most natural images to be misclassifi...

0 Jing Wu, et al. ∙

research

∙ 08/06/2020

Shonan Rotation Averaging: Global Optimality by Surfing SO(p)^n

Shonan Rotation Averaging is a fast, simple, and elegant rotation averag...

1 Frank Dellaert, et al. ∙

research

∙ 06/16/2020

E^3: Visual Exploration of Spatiotemporal Energy Demand

Understanding demand-side energy behaviour is critical for making effici...

0 Junqi Wu, et al. ∙

research

∙ 05/06/2020

ProbaNet: Proposal-balanced Network for Object Detection

Candidate object proposals generated by object detectors based on convol...

13 Xiang Zhang, et al. ∙

research

∙ 04/12/2020

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

In this paper, we address the 3D object detection task by capturing mult...

8 Qian Xie, et al. ∙

research

∙ 03/28/2020

Adversarial Imitation Attack

Deep learning models are known to be vulnerable to adversarial examples....

53 Mingyi Zhou, et al. ∙

research

∙ 03/28/2020

DaST: Data-free Substitute Training for Adversarial Attacks

Machine learning models are vulnerable to adversarial examples. For the ...

0 Mingyi Zhou, et al. ∙

research

∙ 01/25/2020

Diagnostics and Visualization of Point Process Models for Event Times on a Social Network

Point process models have been used to analyze interaction event times o...

0 Jing Wu, et al. ∙

research

∙ 03/08/2019

Markov-Modulated Hawkes Processes for Sporadic and Bursty Event Occurrences

Modeling event dynamics is central to many disciplines. Patterns in obse...

0 Tian Zheng, et al. ∙

research

∙ 03/07/2018

Rigid Point Registration with Expectation Conditional Maximization

This paper addresses the issue of matching rigid 3D object points with 2...

0 Jing Wu, et al. ∙

Jing Wu

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