Qingdong He

According to our database, Qingdong He authored at least 48 papers between 2020 and 2026.

Collaborative distances:

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

2026

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset.

Haojun Chen, Haoyang He, Chengming Xu, Qingdong He, Junwei Zhu, Yabiao Wang, Zhucun Xue, Xianfang Zeng, Zhennan Chen, Xiaobin Hu, Hao Zhao, Yong Liu, Jiangning Zhang, Dacheng Tao

CoRR, May, 2026

Omni-Customizer: End-to-End MultiModal Customization for Joint Audio-Video Generation.

Yuheng Chen, Qingdong He, Teng Hu, Yuji Wang, Yabiao Wang, Lizhuang Ma, Jiangning Zhang

CoRR, May, 2026

CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal.

Qingdong He, Chaoyi Wang, Peng Tang, Yifan Yang, Xiaobin Hu

CoRR, March, 2026

Towards Generalized Multi-Image Editing for Unified Multimodal Models.

Pengcheng Xu, Peng Tang, Donghao Luo, Xiaobin Hu, Weichu Cui, Qingdong He, Zhennan Chen, Jiangning Zhang, Charles Ling, Boyu Wang

CoRR, January, 2026

OCC-MLLM-V1: Occlusion reasoning with commonsense-guided Multi-modal LLM based agent via internal Chain-of-Thoughts (CoTs).

Chaoyi Wang, Qingdong He, Jun Pei, Lijie Xia, Jianpo Liu, Baoqing Li, Xinhan Di

Comput. Vis. Image Underst., 2026

KAN or MLP? Point Cloud Shows the Way Forward.

Yan Shi, Qingdong He, Yijun Liu, Jingyong Su

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

CareCom: Generative Image Composition with Calibrated Reference Features.

Jiaxuan Chen, Bo Zhang, Qingdong He, Jinlong Peng, Li Niu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

The devil is in the details: Enhancing Video Virtual Try-On via Keyframe-Driven Details Injection.

Qingdong He, Xueqin Chen, Yanjie Pan, Peng Tang, Pengcheng Xu, Zhenye Gan, Chengjie Wang, Xiaobin Hu, Jiangning Zhang, Yabiao Wang

CoRR, December, 2025

Boosting Reasoning in Large Multimodal Models via Activation Replay.

Yun Xing, Xiaobin Hu, Qingdong He, Jiangning Zhang, Shuicheng Yan, Shijian Lu, Yu-Gang Jiang

CoRR, November, 2025

ShortcutBreaker: Low-Rank Noisy Bottleneck with Global Perturbation Attention for Multi-Class Unsupervised Anomaly Detection.

Peng Tang, Xiaoxiao Yan, Xiaobin Hu, Yuning Cui, Donghao Luo, Jiangning Zhang, Pengcheng Xu, Jinlong Peng, Qingdong He, Feiyue Huang, Song Xue, Tobias Lasser

CoRR, October, 2025

TokenAR: Multiple Subject Generation via Autoregressive Token-level enhancement.

Haiyue Sun, Qingdong He, Jinlong Peng, Peng Tang, Jiangning Zhang, Junwei Zhu, Xiaobin Hu, Shuicheng Yan

CoRR, October, 2025

IVEBench: Modern Benchmark Suite for Instruction-Guided Video Editing Assessment.

Yinan Chen, Jiangning Zhang, Teng Hu, Yuxiang Zeng, Zhucun Xue, Qingdong He, Chengjie Wang, Yong Liu, Xiaobin Hu, Shuicheng Yan

CoRR, October, 2025

Once Is Enough: Lightweight DiT-Based Video Virtual Try-On via One-Time Garment Appearance Injection.

Yanjie Pan, Qingdong He, Lidong Wang, Bo Peng, Mingmin Chi

CoRR, October, 2025

Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models.

Yuansen Liu, Haiming Tang, Jinlong Peng, Jiangning Zhang, Xiaozhong Ji, Qingdong He, Donghao Luo, Zhenye Gan, Junwei Zhu, Yunhang Shen, Chaoyou Fu, Chengjie Wang, Xiaobin Hu, Shuicheng Yan

CoRR, September, 2025

HV-MMBench: Benchmarking MLLMs for Human-Centric Video Understanding.

Yuxuan Cai, Jiangning Zhang, Zhenye Gan, Qingdong He, Xiaobin Hu, Junwei Zhu, Yabiao Wang, Chengjie Wang, Zhucun Xue, Xinwei He, Xiang Bai

CoRR, July, 2025

Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning.

Qingdong He, Xueqin Chen, Chaoyi Wang, Yanjie Pan, Xiaobin Hu, Zhenye Gan, Yabiao Wang, Chengjie Wang, Xiangtai Li, Jiangning Zhang

CoRR, July, 2025

KAN or MLP? Point Cloud Shows the Way Forward.

Yan Shi, Qingdong He, Yijun Liu, Xiaoyu Liu, Jingyong Su

CoRR, April, 2025

PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation.

Yanjie Pan, Qingdong He, Zhengkai Jiang, Pengcheng Xu, Chaoyi Wang, Jinlong Peng, Haoxuan Wang, Yun Cao, Zhenye Gan, Mingmin Chi, Bo Peng, Yabiao Wang

CoRR, March, 2025

A Comprehensive Library for Benchmarking 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Unicombine: Unified Multi-Conditional Combination with Diffusion Transformer.

Haoxuan Wang, Jinlong Peng, Qingdong He, Hao Yang, Ying Jin, Jiafu Wu, Xiaobin Hu, Yanjie Pan, Zhenye Gan, Mingmin Chi, Bo Peng, Yabiao Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Qingdong He, Jinlong Peng, Zhengkai Jiang, Xiaobin Hu, Jiangning Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Bridge Feature Matching and Cross-Modal Alignment with Mutual-Filtering for Zero-Shot Anomaly Detection.

Yuhu Bai, Jiangning Zhang, Yunkang Cao, Guangyuan Lu, Qingdong He, Xiangtai Li, Guanzhong Tian

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

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

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

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MM-Tracker: Motion Mamba for UAV-platform Multiple Object Tracking.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

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

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

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

Typicalness-Aware Learning for Failure Detection.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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