Search Results for author: Gongjie Zhang

Found 15 papers, 8 papers with code

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

no code implementations24 Aug 2022 Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Zichen Tian, Jingyi Zhang, Shijian Lu

Multi-scale features have been proven highly effective for object detection, and most ConvNet-based object detectors adopt Feature Pyramid Network (FPN) as a basic component for exploiting multi-scale features.

object-detection Object Detection

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

1 code implementation10 Aug 2022 Zhipeng Luo, Changqing Zhou, Liang Pan, Gongjie Zhang, Tianrui Liu, Yueru Luo, Haiyu Zhao, Ziwei Liu, Shijian Lu

In a point cloud sequence, 3D object tracking aims to predict the location and orientation of an object in consecutive frames given an object template.

3D Object Tracking Autonomous Driving +1

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

no code implementations4 Aug 2022 Zhipeng Luo, Gongjie Zhang, Changqing Zhou, Tianrui Liu, Shijian Lu, Liang Pan

3D object detection using point clouds has attracted increasing attention due to its wide applications in autonomous driving and robotics.

3D Object Detection Autonomous Driving +2

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

1 code implementation30 Jul 2022 Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, Eric P. Xing

Despite its success, the said paradigm is still constrained by several factors, such as (i) low-quality region proposals for novel classes and (ii) negligence of the inter-class correlation among different classes.

Few-Shot Object Detection Meta-Learning +1

Accelerating DETR Convergence via Semantic-Aligned Matching

1 code implementation CVPR 2022 Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Kaiwen Cui, Shijian Lu

First, it projects object queries into the same embedding space as encoded image features, where the matching can be accomplished efficiently with aligned semantics.

object-detection Object Detection

GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data

1 code implementation4 Oct 2021 Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu

Specifically, we design GenCo, a Generative Co-training network that mitigates the discriminator over-fitting issue by introducing multiple complementary discriminators that provide diverse supervision from multiple distinctive views in training.

Data Augmentation Image Generation

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency

1 code implementation ICCV 2021 Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu

In addition, existing 3D domain adaptive detection methods often assume prior access to the target domain annotations, which is rarely feasible in the real world.

3D Object Detection Autonomous Driving +1

DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention

no code implementations31 Mar 2021 Jingyi Zhang, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Shijian Lu

In this work, we adopt a one-stage detector and design DA-DETR, a simple yet effective domain adaptive object detection network that performs inter-domain alignment with a single discriminator.

Domain Adaptation object-detection +1

Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection

no code implementations28 Mar 2021 Gongjie Zhang, Kaiwen Cui, Tzu-Yi Hung, Shijian Lu

In addition, the synthesized defect samples demonstrate their effectiveness in training better defect inspection networks.

Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses

no code implementations CVPR 2020 Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen

Recent advances in Generative Adversarial Nets (GANs) have shown remarkable improvements for facial expression editing.

CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery

1 code implementation3 Mar 2019 Gongjie Zhang, Shijian Lu, Wei zhang

This paper presents a novel object detection network (CAD-Net) that exploits attention-modulated features as well as global and local contexts to address the new challenges in detecting objects from remote sensing images.

object-detection Object Detection

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