Peng Lu | DeepAI

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∙ 05/08/2023

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization

Regularization techniques are crucial to improving the generalization pe...

0 Peng Lu, et al. ∙

∙ 03/13/2023

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

Recent studies on 2D pose estimation have achieved excellent performance...

0 Tao Jiang, et al. ∙

∙ 02/22/2023

Learning Agile Flights through Narrow Gaps with Varying Angles using Onboard Sensing

This paper addresses the problem of traversing through unknown, tilted, ...

1 Yuhan Xie, et al. ∙

∙ 12/26/2022

ESVIO: Event-based Stereo Visual Inertial Odometry

Event cameras that asynchronously output low-latency event streams provi...

0 Peiyu Chen, et al. ∙

∙ 12/12/2022

Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging

Knowledge Distillation (KD) is a commonly used technique for improving t...

0 Peng Lu, et al. ∙

∙ 09/25/2022

PL-EVIO: Robust Monocular Event-based Visual Inertial Odometry with Point and Line Features

Event cameras are motion-activated sensors that capture pixel-level illu...

0 WeiPeng Guan, et al. ∙

∙ 05/25/2022

Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models

Knowledge Distillation (KD) is a prominent neural model compression tech...

0 Ivan Kobyzev, et al. ∙

∙ 10/27/2021

AeCoM: Design, Modeling and Control of a Novel Aerial Continuum Manipulator

Aerial robotic systems has raised emerging interests among researchers. ...

0 Rui Peng, et al. ∙

∙ 10/20/2021

A Fast Planning Approach for 3D Short Trajectory with a Parallel Framework

For real applications of unmanned aerial vehicles, the capability of nav...

0 Han Chen, et al. ∙

∙ 10/20/2021

Real-time Identification and Simultaneous Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation

Avoiding hybrid obstacles in unknown scenarios with an efficient flight ...

0 Han Chen, et al. ∙

∙ 08/29/2021

Flying Through a Narrow Gap Using End-to-end Deep Reinforcement Learning Augmented with Curriculum Learning and Sim2Real

Traversing through a tilted narrow gap is previously an intractable task...

0 Chenxi Xiao, et al. ∙

∙ 05/14/2021

Identification and Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation

Avoiding hybrid obstacles in unknown scenarios with an efficient flight ...

0 Han Chen, et al. ∙

∙ 08/09/2020

Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking

Correlation filter (CF)-based methods have demonstrated exceptional perf...

0 Changhong Fu, et al. ∙

∙ 08/02/2020

Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters

Object tracking has been broadly applied in unmanned aerial vehicle (UAV...

9 Yujie He, et al. ∙

∙ 03/23/2020

Balanced Alignment for Face Recognition: A Joint Learning Approach

Face alignment is crucial for face recognition and has been widely adopt...

0 Huawei Wei, et al. ∙

∙ 03/13/2020

Computationally Efficient Obstacle Avoidance Trajectory Planner for UAVs Based on Heuristic Angular Search Method

For accomplishing a variety of missions in challenging environments, the...

0 Han Chen, et al. ∙

∙ 03/11/2020

Training-Set Distillation for Real-Time UAV Object Tracking

Correlation filter (CF) has recently exhibited promising performance in ...

0 Fan Li, et al. ∙

∙ 08/10/2019

Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification

Due to implicitly introduced periodic shifting of limited searching area...

4 Changhong Fu, et al. ∙

∙ 08/06/2019

Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking

Traditional framework of discriminative correlation filters (DCF) is oft...

2 Ziyuan Huang, et al. ∙

∙ 07/02/2019

An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos

As one of the fundamental techniques for image editing, image cropping d...

5 Peng Lu, et al. ∙

∙ 12/11/2018

Learning Large Euclidean Margin for Sketch-based Image Retrieval

This paper addresses the problem of Sketch-Based Image Retrieval (SBIR),...

0 Peng Lu, et al. ∙

∙ 11/28/2018

Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network

Sketch has been employed as an effective communicative tool to express t...

0 Peng Lu, et al. ∙

∙ 08/04/2018

Nonlinear disturbance attenuation control of hydraulic robotics

This paper presents a novel nonlinear disturbance rejection control for ...

0 Peng Lu, et al. ∙

∙ 04/13/2018

PAMPC: Perception-Aware Model Predictive Control for Quadrotors

We present a perception-aware model predictive control framework for qua...

0 Davide Falanga, et al. ∙

∙ 12/26/2013

Finding More Relevance: Propagating Similarity on Markov Random Field for Image Retrieval

To effectively retrieve objects from large corpus with high accuracy is ...

0 Peng Lu, et al. ∙

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