b'Pengfei Zhu'

research

∙ 07/21/2023

Tuning Pre-trained Model via Moment Probing

Recently, efficient fine-tuning of large-scale pre-trained models has at...

0 Mingze Gao, et al. ∙

research

∙ 03/17/2023

Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding

Predicting attention regions of interest is an important yet challenging...

0 Pengfei Zhu, et al. ∙

research

∙ 02/09/2023

ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models

In recent years, there has been an increased popularity in image and spe...

0 Pengfei Zhu, et al. ∙

research

∙ 02/02/2023

MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion

Infrared and visible image fusion can compensate for the incompleteness ...

0 Yiming Sun, et al. ∙

research

∙ 12/13/2022

HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping

Image-based head swapping task aims to stitch a source head to another s...

0 Qinghe Wang, et al. ∙

research

∙ 11/07/2022

ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech

Speech representation learning has improved both speech understanding an...

0 Xiaoran Fan, et al. ∙

research

∙ 08/29/2022

Latent Heterogeneous Graph Network for Incomplete Multi-View Learning

Multi-view learning has progressed rapidly in recent years. Although man...

6 Pengfei Zhu, et al. ∙

research

∙ 03/19/2022

Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation

Semantic segmentation with limited annotations, such as weakly supervise...

0 Junwen Pan, et al. ∙

research

∙ 03/10/2022

Label-efficient Hybrid-supervised Learning for Medical Image Segmentation

Due to the lack of expertise for medical image annotation, the investiga...

0 Junwen Pan, et al. ∙

research

∙ 08/31/2021

Unsupervised Open-Domain Question Answering

Open-domain Question Answering (ODQA) has achieved significant results i...

0 Pengfei Zhu, et al. ∙

research

∙ 07/19/2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Crowd counting on the drone platform is an interesting topic in computer...

2 Dawei Du, et al. ∙

research

∙ 05/06/2021

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark

To promote the developments of object detection, tracking and counting a...

18 Longyin Wen, et al. ∙

research

∙ 01/05/2021

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing

Semantic parsing has long been a fundamental problem in natural language...

0 Binyuan Hui, et al. ∙

research

∙ 08/16/2020

SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning

Although significant progress achieved, multi-label classification is st...

14 Junbing Li, et al. ∙

research

∙ 03/29/2020

Spatial Attention Pyramid Network for Unsupervised Domain Adaptation

Unsupervised domain adaptation is critical in various computer vision ta...

0 Congcong Li, et al. ∙

research

∙ 03/18/2020

Rethinking Object Detection in Retail Stores

The convention standard for object detection uses a bounding box to repr...

0 Yuanqiang Cai, et al. ∙

research

∙ 03/16/2020

Multi-Drone based Single Object Tracking with Agent Sharing Network

Drone equipped with cameras can dynamically track the target in the air ...

0 Pengfei Zhu, et al. ∙

research

∙ 01/26/2020

Dual Multi-head Co-attention for Multi-choice Reading Comprehension

Multi-choice Machine Reading Comprehension (MRC) requires model to decid...

0 Pengfei Zhu, et al. ∙

research

∙ 01/16/2020

Vision Meets Drones: Past, Present and Future

Drones, or general UAVs, equipped with cameras have been fast deployed w...

15 Pengfei Zhu, et al. ∙

research

∙ 12/04/2019

Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network

This paper proposes a space-time multi-scale attention network (STANet) ...

0 Longyin Wen, et al. ∙

research

∙ 10/08/2019

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Channel attention has recently demonstrated to offer great potential in ...

0 Qilong Wang, et al. ∙

research

∙ 08/06/2019

Multi-view Deep Subspace Clustering Networks

Multi-view subspace clustering aims to discover the inherent structure b...

1 Pengfei Zhu, et al. ∙

research

∙ 01/26/2019

Progressive Image Deraining Networks: A Better and Simpler Baseline

Along with the deraining performance improvement of deep networks, their...

14 Dongwei Ren, et al. ∙

research

∙ 10/03/2018

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report

This paper reviews the first challenge on efficient perceptual image enh...

2 Andrey Ignatov, et al. ∙

research

∙ 08/10/2018

Lingke: A Fine-grained Multi-turn Chatbot for Customer Service

Traditional chatbots usually need a mass of human dialogue data, especia...

0 Pengfei Zhu, et al. ∙

research

∙ 08/07/2018

Effective Character-augmented Word Embedding for Machine Reading Comprehension

Machine reading comprehension is a task to model relationship between pa...

0 Zhuosheng Zhang, et al. ∙

research

∙ 06/24/2018

Modeling Multi-turn Conversation with Deep Utterance Aggregation

Multi-turn conversation understanding is a major challenge for building ...

0 Zhuosheng Zhang, et al. ∙

research

∙ 04/20/2018

Vision Meets Drones: A Challenge

In this paper we present a large-scale visual object detection and track...

0 Pengfei Zhu, et al. ∙

research

∙ 04/17/2018

On Improving Deep Reinforcement Learning for POMDPs

Deep Reinforcement Learning (RL) recently emerged as one of the most com...

0 Pengfei Zhu, et al. ∙

research

∙ 08/30/2013

Image Set based Collaborative Representation for Face Recognition

With the rapid development of digital imaging and communication technolo...

0 Pengfei Zhu, et al. ∙

Pengfei Zhu

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