Qingdong He

According to our database, Qingdong He authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation.

Qingdong He, Jinlong Peng, Pengcheng Xu, Boyuan Jiang, Xiaobin Hu, Donghao Luo, Yong Liu, Yabiao Wang, Chengjie Wang, Xiangtai Li, Jiangning Zhang

CoRR, 2024

Sonic: Shifting Focus to Global Audio Perception in Portrait Animation.

Xiaozhong Ji, Xiaobin Hu, Zhihong Xu, Junwei Zhu, Chuming Lin, Qingdong He, Jiangning Zhang, Donghao Luo, Yi Chen, Qin Lin, Qinglin Lu, Chengjie Wang

CoRR, 2024

Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing.

Pengcheng Xu, Boyuan Jiang, Xiaobin Hu, Donghao Luo, Qingdong He, Jiangning Zhang, Chengjie Wang, Yunsheng Wu, Charles Ling, Boyu Wang

CoRR, 2024

FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on.

Boyuan Jiang, Xiaobin Hu, Donghao Luo, Qingdong He, Chengming Xu, Jinlong Peng, Jiangning Zhang, Chengjie Wang, Yunsheng Wu, Yanwei Fu

CoRR, 2024

Typicalness-Aware Learning for Failure Detection.

Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su

CoRR, 2024

Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection.

Haoxuan Wang, Qingdong He, Jinlong Peng, Hao Yang, Mingmin Chi, Yabiao Wang

CoRR, 2024

DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation.

Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Hao Chen, Jiafu Wu, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang, Chengjie Wang

CoRR, 2024

Effective Motion Modeling for UAV-platform Multiple Object Tracking with Re-Margin Loss.

Mufeng Yao, Jinlong Peng, Qingdong He, Bo Peng, Hao Chen, Mingmin Chi, Chao Liu, Jón Atli Benediktsson

CoRR, 2024

ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection.

Jiangning Zhang, Haoyang He, Zhenye Gan, Qingdong He, Yuxuan Cai, Zhucun Xue, Yabiao Wang, Chengjie Wang, Lei Xie, Yong Liu

CoRR, 2024

NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models.

Kai Wu, Boyuan Jiang, Zhengkai Jiang, Qingdong He, Donghao Luo, Shengzhi Wang, Qingwen Liu, Chengjie Wang

CoRR, 2024

AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval.

Sihe Zhang, Qingdong He, Jinlong Peng, Yuxi Li, Zhengkai Jiang, Jiafu Wu, Mingmin Chi, Yabiao Wang, Chengjie Wang

CoRR, 2024

Open-Vocabulary SAM3D: Understand Any 3D Scene.

Hanchen Tai, Qingdong He, Jiangning Zhang, Yijie Qian, Zhenyu Zhang, Xiaobin Hu, Yabiao Wang, Yong Liu

CoRR, 2024

PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning.

Qingdong He, Jiangning Zhang, Jinlong Peng, Haoyang He, Yabiao Wang, Chengjie Wang

CoRR, 2024

Single-temporal Supervised Remote Change Detection for Domain Generalization.

Qiangang Du, Jinlong Peng, Xu Chen, Qingdong He, Liren He, Qiang Nie, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang

CoRR, 2024

Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detection.

Qiangang Du, Jinlong Peng, Changan Wang, Xu Chen, Qingdong He, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang

CoRR, 2024

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

Haoyang He, Yuhu Bai, Jiangning Zhang, Qingdong He, Hongxu Chen, Zhenye Gan, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Lei Xie

CoRR, 2024

PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models.

Qingdong He, Jinlong Peng, Zhengkai Jiang, Xiaobin Hu, Jiangning Zhang, Qiang Nie, Yabiao Wang, Chengjie Wang

CoRR, 2024

UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation.

Qingdong He, Jinlong Peng, Zhengkai Jiang, Kai Wu, Xiaozhong Ji, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Mingang Chen, Yunsheng Wu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Stereo RGB and Deeper LIDAR-Based Network for 3D Object Detection in Autonomous Driving.

Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu, Shuaicheng Liu, Bing Zeng

IEEE Trans. Intell. Transp. Syst., January, 2023

2022

SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds.

Qingdong He, Hao Zeng, Yi Zeng, Yijun Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds.

Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection.

Qingdong He, Zhengning Wang, Hao Zeng, Yijun Liu, Shuaicheng Liu, Bing Zeng

CoRR, 2020

SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds.

Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Shuaicheng Liu, Bing Zeng

CoRR, 2020