Jingyi Zhang

According to our database, Jingyi Zhang authored at least 25 papers between 2018 and 2025.

Collaborative distances:

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

2025

MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI.

Huanjin Yao, Jiaxing Huang, Yawen Qiu, Michael K. Chen, Wenzheng Liu, Wei Zhang, Wenjie Zeng, Xikun Zhang, Jingyi Zhang, Yuxin Song, Wenhao Wu, Dacheng Tao

CoRR, June, 2025

R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO.

Huanjin Yao, Qixiang Yin, Jingyi Zhang, Min Yang, Yibo Wang, Wenhao Wu, Fei Su, Li Shen, Minghui Qiu, Dacheng Tao, Jiaxing Huang

CoRR, May, 2025

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

Jingyi Zhang, Jiaxing Huang, Huanjin Yao, Shunyu Liu, Xikun Zhang, Shijian Lu, Dacheng Tao

CoRR, March, 2025

2024

Vision-Language Models for Vision Tasks: A Survey.

Jingyi Zhang, Jiaxing Huang, Sheng Jin, Shijian Lu

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

Generalizable Black-Box Adversarial Attack With Meta Learning.

Fei Yin, Yong Zhang, Baoyuan Wu, Yan Feng, Jingyi Zhang, Yanbo Fan, Yujiu Yang

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

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search.

Huanjin Yao, Jiaxing Huang, Wenhao Wu, Jingyi Zhang, Yibo Wang, Shunyu Liu, Yingjie Wang, Yuxin Song, Haocheng Feng, Li Shen, Dacheng Tao

CoRR, 2024

Learning to Prompt Segment Anything Models.

Jiaxing Huang, Kai Jiang, Jingyi Zhang, Han Qiu, Lewei Lu, Shijian Lu, Eric P. Xing

CoRR, 2024

Historical Test-time Prompt Tuning for Vision Foundation Models.

Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling Shao, Shijian Lu

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

2023

Visual Instruction Tuning towards General-Purpose Multimodal Model: A Survey.

Jiaxing Huang, Jingyi Zhang, Kai Jiang, Han Qiu, Shijian Lu

CoRR, 2023

Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation.

Jiaxing Huang, Jingyi Zhang, Han Qiu, Sheng Jin, Shijian Lu

CoRR, 2023

Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory.

Jingyi Zhang, Jiaxing Huang, Xueying Jiang, Shijian Lu

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

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

Gongjie Zhang, Zhipeng Luo, Zichen Tian, Jingyi Zhang, Xiaoqin Zhang, Shijian Lu

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

DA-DETR: Domain Adaptive Detection Transformer with Information Fusion.

Jingyi Zhang, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Xiaoqin Zhang, Shijian Lu

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

UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration.

Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Shijian Lu

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

2022

Domain Adaptive Scene Text Detection via Subcategorization.

Zichen Tian, Chuhui Xue, Jingyi Zhang, Shijian Lu

CoRR, 2022

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

Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Zichen Tian, Jingyi Zhang, Shijian Lu

CoRR, 2022

Hierarchical Mask Calibration for Unified Domain Adaptive Panoptic Segmentation.

Jingyi Zhang, Jiaxing Huang, Shijian Lu

CoRR, 2022

Spectral Unsupervised Domain Adaptation for Visual Recognition.

Jingyi Zhang, Jiaxing Huang, Zichen Tian, Shijian Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Spectral Unsupervised Domain Adaptation for Visual Recognition.

Jingyi Zhang, Jiaxing Huang, Shijian Lu

CoRR, 2021

DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention.

Jingyi Zhang, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Shijian Lu

CoRR, 2021

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation.

Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Dual ResGCN for Balanced Scene GraphGeneration.

Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yanbo Fan, Fumin Shen, Heng Tao Shen

CoRR, 2020

2019

Generative Reconstructive Hashing for Incomplete Video Analysis.

Jingyi Zhang, Zhen Wei, Ionut Cosmin Duta, Fumin Shen, Li Liu, Fan Zhu, Xing Xu, Ling Shao, Heng Tao Shen

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling.

Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Generative Domain-Migration Hashing for Sketch-to-Image Retrieval.

Jingyi Zhang, Fumin Shen, Li Liu, Fan Zhu, Mengyang Yu, Ling Shao, Heng Tao Shen, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2018, 2018