Zhipeng Luo | DeepAI

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∙ 03/14/2023

Modeling Continuous Motion for 3D Point Cloud Object Tracking

The task of 3D single object tracking (SOT) with LiDAR point clouds is c...

0 Zhipeng Luo, et al. ∙

∙ 12/15/2022

DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention

3D object detection with surround-view images is an essential task for a...

0 Zhipeng Luo, et al. ∙

∙ 08/24/2022

Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors

Multi-scale features have been proven highly effective for object detect...

0 Gongjie Zhang, et al. ∙

∙ 08/10/2022

Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with Transformer

With the prevalence of LiDAR sensors in autonomous driving, 3D object tr...

0 Zhipeng Luo, et al. ∙

∙ 08/04/2022

TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection

3D object detection using point clouds has attracted increasing attentio...

0 Zhipeng Luo, et al. ∙

∙ 07/30/2022

Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation

Few-shot object detection has been extensively investigated by incorpora...

29 Gongjie Zhang, et al. ∙

∙ 07/28/2022

Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion

The recently proposed DEtection TRansformer (DETR) has established a ful...

14 Gongjie Zhang, et al. ∙

∙ 03/14/2022

Accelerating DETR Convergence via Semantic-Aligned Matching

The recently developed DEtection TRansformer (DETR) establishes a new ob...

0 Gongjie Zhang, et al. ∙

∙ 12/06/2021

PTTR: Relational 3D Point Cloud Object Tracking with Transformer

In a point cloud sequence, 3D object tracking aims to predict the locati...

0 Changqing Zhou, et al. ∙

∙ 10/04/2021

GenCo: Generative Co-training on Data-Limited Image Generation

Training effective Generative Adversarial Networks (GANs) requires large...

0 Kaiwen Cui, et al. ∙

∙ 09/09/2021

AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data

Temporal relational data, perhaps the most commonly used data type in in...

0 Zhipeng Luo, et al. ∙

∙ 09/09/2021

MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction

Neural relation extraction models have shown promising results in recent...

0 Manqing Dong, et al. ∙

∙ 07/23/2021

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency

Deep learning-based 3D object detection has achieved unprecedented succe...

0 Zhipeng Luo, et al. ∙

∙ 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. ∙

∙ 06/16/2021

Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification

Deep learning-based multi-source unsupervised domain adaptation (MUDA) h...

0 Zhipeng Luo, et al. ∙

∙ 03/31/2021

DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention

The prevalent approach in domain adaptive object detection adopts a two-...

0 Jingyi Zhang, et al. ∙

∙ 02/25/2021

BERT-based Acronym Disambiguation with Multiple Training Strategies

Acronym disambiguation (AD) task aims to find the correct expansions of ...

0 Chunguang Pan, et al. ∙

∙ 02/08/2021

Semantic Segmentation with Labeling Uncertainty and Class Imbalance

Recently, methods based on Convolutional Neural Networks (CNN) achieved ...

11 Patrik Olã Bressan, et al. ∙

∙ 02/08/2021

Counting and Locating High-Density Objects Using Convolutional Neural Network

This paper presents a Convolutional Neural Network (CNN) approach for co...

17 Mauro dos Santos de Arruda, et al. ∙

∙ 09/25/2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...

7 Pengxu Wei, et al. ∙

∙ 07/17/2020

A Technical Report for VIPriors Image Classification Challenge

Image classification has always been a hot and challenging task. This pa...

0 Zhipeng Luo, et al. ∙

∙ 07/16/2020

Challenge report:VIPriors Action Recognition Challenge

This paper is a brief report to our submission to the VIPriors Action Re...

0 Zhipeng Luo, et al. ∙

∙ 07/16/2020

VIPriors Object Detection Challenge

This paper is a brief report to our submission to the VIPriors Object De...

0 Zhipeng Luo, et al. ∙

∙ 06/07/2020

Efficient Architecture Search for Continual Learning

Continual learning with neural networks is an important learning framewo...

36 Qiang Gao, et al. ∙

∙ 05/30/2020

Challenge report: Recognizing Families In the Wild Data Challenge

This paper is a brief report to our submission to the Recognizing Famili...

0 Zhipeng Luo, et al. ∙

∙ 06/20/2019

PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds

Middle-echo, which covers one or a few corresponding points, is a specif...

3 Jonathan Li, et al. ∙

∙ 01/30/2019

Learning Fast Matching Models from Weak Annotations

This paper proposes a novel training scheme for fast matching models in ...

0 Xue Li, et al. ∙

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