Hao Zhang

According to our database, Hao Zhang authored at least 44 papers between 2022 and 2025.

Collaborative distances:

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

2025

A Mutual Supervision Framework for Referring Expression Segmentation and Generation.

Shijia Huang, Feng Li, Hao Zhang, Shilong Liu, Lei Zhang, Liwei Wang

Int. J. Comput. Vis., June, 2025

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning.

Shulin Tian, Ruiqi Wang, Hongming Guo, Penghao Wu, Yuhao Dong, Xiuying Wang, Jingkang Yang, Hao Zhang, Hongyuan Zhu, Ziwei Liu

CoRR, June, 2025

LLaVA-OneVision: Easy Visual Task Transfer.

Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Peiyuan Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li

Trans. Mach. Learn. Res., 2025

LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun Ma, Chunyuan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising.

Feng Li, Hao Zhang, Shilong Liu, Jian Guo, Lionel M. Ni, Lei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding.

Tianhe Ren, Yihao Chen, Qing Jiang, Zhaoyang Zeng, Yuda Xiong, Wenlong Liu, Zhengyu Ma, Junyi Shen, Yuan Gao, Xiaoke Jiang, Xingyu Chen, Zhuheng Song, Yuhong Zhang, Hongjie Huang, Han Gao, Shilong Liu, Hao Zhang, Feng Li, Kent Yu, Lei Zhang

CoRR, 2024

LLaVA-OneVision: Easy Visual Task Transfer.

Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li

CoRR, 2024

TAPTRv2: Attention-based Position Update Improves Tracking Any Point.

Hongyang Li, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Feng Li, Tianhe Ren, Bohan Li, Lei Zhang

CoRR, 2024

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun Ma, Chunyuan Li

CoRR, 2024

MotionLLM: Understanding Human Behaviors from Human Motions and Videos.

Ling-Hao Chen, Shunlin Lu, Ailing Zeng, Hao Zhang, Benyou Wang, Ruimao Zhang, Lei Zhang

CoRR, 2024

Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection.

Tianhe Ren, Qing Jiang, Shilong Liu, Zhaoyang Zeng, Wenlong Liu, Han Gao, Hongjie Huang, Zhengyu Ma, Xiaoke Jiang, Yihao Chen, Yuda Xiong, Hao Zhang, Feng Li, Peijun Tang, Kent Yu, Lei Zhang

CoRR, 2024

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

Tianhe Ren, Shilong Liu, Ailing Zeng, Jing Lin, Kunchang Li, He Cao, Jiayu Chen, Xinyu Huang, Yukang Chen, Feng Yan, Zhaoyang Zeng, Hao Zhang, Feng Li, Jie Yang, Hongyang Li, Qing Jiang, Lei Zhang

CoRR, 2024

Interfacing Foundation Models' Embeddings.

Xueyan Zou, Linjie Li, Jianfeng Wang, Jianwei Yang, Mingyu Ding, Junyi Wei, Zhengyuan Yang, Feng Li, Hao Zhang, Shilong Liu, Arul Aravinthan, Yong Jae Lee, Lijuan Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TAPTRv2: Attention-based Position Update Improves Tracking Any Point.

Hongyang Li, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Feng Li, Bohan Li, Tianhe Ren, Lei Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models.

Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Leizhang, Chunyuan Li, Jainwei Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection.

Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Qing Jiang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents.

Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Segment and Recognize Anything at Any Granularity.

Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao

Proceedings of the Computer Vision - ECCV 2024, 2024

TAPTR: Tracking Any Point with Transformers as Detection.

Hongyang Li, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Lei Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

Visual in-Context Prompting.

Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Interfacing Foundation Models' Embeddings.

Xueyan Zou, Linjie Li, Jianfeng Wang, Jianwei Yang, Mingyu Ding, Zhengyuan Yang, Feng Li, Hao Zhang, Shilong Liu, Arul Aravinthan, Yong Jae Lee, Lijuan Wang

CoRR, 2023

LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models.

Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Lei Zhang, Chunyuan Li, Jianwei Yang

CoRR, 2023

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

Jianwei Yang, Hao Zhang, Feng Li, Xueyan Zou, Chunyuan Li, Jianfeng Gao

CoRR, 2023

Semantic-SAM: Segment and Recognize Anything at Any Granularity.

Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao

CoRR, 2023

detrex: Benchmarking Detection Transformers.

Tianhe Ren, Shilong Liu, Feng Li, Hao Zhang, Ailing Zeng, Jie Yang, Xingyu Liao, Ding Jia, Hongyang Li, He Cao, Jianan Wang, Zhaoyang Zeng, Xianbiao Qi, Yuhui Yuan, Jianwei Yang, Lei Zhang

CoRR, 2023

A Strong and Reproducible Object Detector with Only Public Datasets.

Tianhe Ren, Jianwei Yang, Shilong Liu, Ailing Zeng, Feng Li, Hao Zhang, Hongyang Li, Zhaoyang Zeng, Lei Zhang

CoRR, 2023

Segment Everything Everywhere All at Once.

Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, Yong Jae Lee

CoRR, 2023

A Simple Framework for Open-Vocabulary Segmentation and Detection.

Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianfeng Gao, Jianwei Yang, Lei Zhang

CoRR, 2023

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang

CoRR, 2023

DA-BEV: Depth Aware BEV Transformer for 3D Object Detection.

Hao Zhang, Hongyang Li, Xingyu Liao, Feng Li, Shilong Liu, Lionel M. Ni, Lei Zhang

CoRR, 2023

Segment Everything Everywhere All at Once.

Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Simple Framework for Open-Vocabulary Segmentation and Detection.

Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Detection Transformer with Stable Matching.

Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting.

Hongyang Li, Hao Zhang, Zhaoyang Zeng, Shilong Liu, Feng Li, Tianhe Ren, Lei Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MP-Former: Mask-Piloted Transformer for Image Segmentation.

Hao Zhang, Feng Li, Huaizhe Xu, Shijia Huang, Shilong Liu, Lionel M. Ni, Lei Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR.

Feng Li, Ailing Zeng, Shilong Liu, Hao Zhang, Hongyang Li, Lei Zhang, Lionel M. Ni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation.

Feng Li, Hao Zhang, Huaizhe Xu, Shilong Liu, Lei Zhang, Lionel M. Ni, Heung-Yeung Shum

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding.

Shilong Liu, Shijia Huang, Feng Li, Hao Zhang, Yaoyuan Liang, Hang Su, Jun Zhu, Lei Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Unified Mutual Supervision Framework for Referring Expression Segmentation and Generation.

Shijia Huang, Feng Li, Hao Zhang, Shilong Liu, Lei Zhang, Liwei Wang

CoRR, 2022

Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation.

Hao Zhang, Ruimao Zhang, Zhanglin Peng, Junle Wang, Yanqing Jing

CoRR, 2022

Vision-Language Intelligence: Tasks, Representation Learning, and Large Models.

Feng Li, Hao Zhang, Yi-Fan Zhang, Shilong Liu, Jian Guo, Lionel M. Ni, PengChuan Zhang, Lei Zhang

CoRR, 2022

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.

Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation.

Hao Zhang, Ruimao Zhang

Proceedings of the Computer Vision - ACCV 2022, 2022