b'Zhenyu Wu'

research

∙ 09/03/2023

SOAR: Scene-debiasing Open-set Action Recognition

Deep learning models have a risk of utilizing spurious clues to make pre...

0 Yuanhao Zhai, et al. ∙

research

∙ 08/21/2023

centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation

Unsupervised Domain Adaptation (UDA) approaches address the covariate sh...

0 Xiaona Sun, et al. ∙

research

∙ 08/16/2023

Dual-Branch Temperature Scaling Calibration for Long-Tailed Recognition

The calibration for deep neural networks is currently receiving widespre...

0 Jialin Guo, et al. ∙

research

∙ 07/04/2023

Embodied Task Planning with Large Language Models

Equipping embodied agents with commonsense is important for robots to su...

0 Zhenyu Wu, et al. ∙

research

∙ 04/26/2023

Improvements on Recommender System based on Mathematical Principles

In this article, we will research the Recommender System's implementatio...

0 Fu Chen, et al. ∙

research

∙ 03/06/2023

OpenICL: An Open-Source Framework for In-context Learning

In recent years, In-context Learning (ICL) has gained increasing attenti...

0 Zhenyu Wu, et al. ∙

research

∙ 02/23/2023

Category-level Shape Estimation for Densely Cluttered Objects

Accurately estimating the shape of objects in dense clutters makes impor...

0 Zhenyu Wu, et al. ∙

research

∙ 12/13/2022

Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection

Although weakly-supervised techniques can reduce the labeling effort, it...

0 Zhenyu Wu, et al. ∙

research

∙ 10/25/2022

Synthetic Data Supervised Salient Object Detection

Although deep salient object detection (SOD) has achieved remarkable pro...

0 Zhenyu Wu, et al. ∙

research

∙ 10/25/2022

Salient Object Detection via Dynamic Scale Routing

Recent research advances in salient object detection (SOD) could largely...

0 Zhenyu Wu, et al. ∙

research

∙ 08/06/2022

Smart Explorer: Recognizing Objects in Dense Clutter via Interactive Exploration

Recognizing objects in dense clutter accurately plays an important role ...

7 Zhenyu Wu, et al. ∙

research

∙ 06/13/2022

A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth

Imagery collected from outdoor visual environments is often degraded due...

0 Priya Narayanan, et al. ∙

research

∙ 06/05/2022

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles

Unmanned Aerial Vehicles (UAVs) based video text spotting has been exten...

0 Zhenyu Hu, et al. ∙

research

∙ 04/09/2022

E^2TAD: An Energy-Efficient Tracking-based Action Detector

Video action detection (spatio-temporal action localization) is usually ...

0 Xin Hu, et al. ∙

research

∙ 11/26/2021

Self-supervised Pretraining with Classification Labels for Temporal Activity Detection

Temporal Activity Detection aims to predict activity classes per frame, ...

13 Kumara Kahatapitiya, et al. ∙

research

∙ 08/19/2021

Semantic Reinforced Attention Learning for Visual Place Recognition

Large-scale visual place recognition (VPR) is inherently challenging bec...

0 Guohao Peng, et al. ∙

research

∙ 10/02/2020

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis

Estimating the 3D hand pose from a monocular RGB image is important but ...

0 Zhenyu Wu, et al. ∙

research

∙ 08/11/2020

DREAM: A Dynamic Relational-Aware Model for Social Recommendation

Social connections play a vital role in improving the performance of rec...

0 Liqiang Song, et al. ∙

research

∙ 08/10/2020

Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter

The real human attention is an interactive activity between our visual s...

2 Zhenyu Wu, et al. ∙

research

∙ 08/07/2020

Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub Networks

Fully convolutional networks have shown outstanding performance in the s...

1 Zhenyu Wu, et al. ∙

research

∙ 08/07/2020

A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset

Compared with the conventional hand-crafted approaches, the deep learnin...

4 Zhenyu Wu, et al. ∙

research

∙ 08/06/2020

UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks

The problem of session-based recommendation aims to predict user next ac...

0 Bo Huang, et al. ∙

research

∙ 07/30/2020

A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users

Internet is changing the world, adapting to the trend of internet sales ...

0 Ye Bi, et al. ∙

research

∙ 07/27/2020

DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain

Internet insurance products are apparently different from traditional e-...

0 Ye Bi, et al. ∙

research

∙ 06/17/2020

Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

In self-supervised monocular depth estimation, the depth discontinuity a...

16 Jianrong Wang, et al. ∙

research

∙ 11/21/2019

Magnetic-Assisted Initialization for Infrastructure-free Mobile Robot Localization

Most of the existing mobile robot localization solutions are either heav...

0 Zhenyu Wu, et al. ∙

research

∙ 08/11/2019

Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach

Object detection from images captured by Unmanned Aerial Vehicles (UAVs)...

8 Zhenyu Wu, et al. ∙

research

∙ 06/12/2019

Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset

This paper aims to boost privacy-preserving visual recognition, an incre...

1 Haotao Wang, et al. ∙

research

∙ 05/30/2019

All-In-One Underwater Image Enhancement using Domain-Adversarial Learning

Raw underwater images are degraded due to wavelength dependent light att...

0 Pritish Uplavikar, et al. ∙

research

∙ 03/19/2019

A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security

The need for countering Advanced Persistent Threat (APT) attacks has led...

0 Peng Gao, et al. ∙

research

∙ 11/19/2018

An Adaptive Oversampling Learning Method for Class-Imbalanced Fault Diagnostics and Prognostics

Data-driven fault diagnostics and prognostics suffers from class-imbalan...

0 Wenfang Lin, et al. ∙

research

∙ 07/22/2018

Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

This paper aims to improve privacy-preserving visual recognition, an inc...

1 Zhenyu Wu, et al. ∙

research

∙ 06/25/2018

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection

Recently, advanced cyber attacks, which consist of a sequence of steps t...

0 Peng Gao, et al. ∙

research

∙ 06/24/2018

Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions

The current trend of pushing CNNs deeper with convolutions has created a...

0 Junru Wu, et al. ∙

research

∙ 11/18/2015

Behavior Query Discovery in System-Generated Temporal Graphs

Computer system monitoring generates huge amounts of logs that record th...

0 Bo Zong, et al. ∙

Zhenyu Wu

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