Search Results for author: Gongjie Zhang

Found 17 papers, 8 papers with code

Modeling Continuous Motion for 3D Point Cloud Object Tracking

no code implementations14 Mar 2023 Zhipeng Luo, Gongjie Zhang, Changqing Zhou, Zhonghua Wu, Qingyi Tao, Lewei Lu, Shijian Lu

The task of 3D single object tracking (SOT) with LiDAR point clouds is crucial for various applications, such as autonomous driving and robotics.

3D Single Object Tracking Autonomous Driving +1

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

no code implementations CVPR 2023 Gongjie Zhang, Zhipeng Luo, Zichen Tian, Jingyi Zhang, Xiaoqin Zhang, Shijian Lu

Multi-scale features have been proven highly effective for object detection but often come with huge and even prohibitive extra computation costs, especially for the recent Transformer-based detectors.

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 +2

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

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

1 code implementation28 Jul 2022 Gongjie Zhang, Zhipeng Luo, Jiaxing Huang, Shijian Lu, Eric P. Xing

The recently proposed DEtection TRansformer (DETR) has established a fully end-to-end paradigm for object detection.

object-detection Object Detection

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 with Information Fusion

no code implementations CVPR 2023 Jingyi Zhang, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Xiaoqin Zhang, Shijian Lu

DA-DETR introduces a novel CNN-Transformer Blender (CTBlender) that fuses the CNN features and Transformer features ingeniously for effective feature alignment and knowledge transfer across domains.

Domain Adaptation object-detection +2

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.

Vocal Bursts Intensity Prediction

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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