Haotian Zhang

According to our database, Haotian Zhang authored at least 29 papers between 2019 and 2025.

Collaborative distances:

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

2025

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning.

Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA.

Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms.

Zhangheng Li, Keen You, Haotian Zhang, Di Feng, Harsh Agrawal, Xiujun Li, Mohana Prasad Sathya Moorthy, Jeffrey Nichols, Yinfei Yang, Zhe Gan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models.

Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Wenze Hu, Juan Lao Tebar, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Improve Vision Language Model Chain-of-thought Reasoning.

Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms.

Zhangheng Li, Keen You, Haotian Zhang, Di Feng, Harsh Agrawal, Xiujun Li, Mohana Prasad Sathya Moorthy, Jeff Nichols, Yinfei Yang, Zhe Gan

CoRR, 2024

MM-Ego: Towards Building Egocentric Multimodal LLMs.

Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang

CoRR, 2024

Contrastive Localized Language-Image Pre-Training.

Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan

CoRR, 2024

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning.

Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang

CoRR, 2024

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models.

Haotian Zhang, Haoxuan You, Philipp Dufter, Bowen Zhang, Chen Chen, Hong-You Chen, Tsu-Jui Fu, William Yang Wang, Shih-Fu Chang, Zhe Gan, Yinfei Yang

CoRR, 2024

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

CoRR, 2024

How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts.

Yusu Qian, Haotian Zhang, Yinfei Yang, Zhe Gan

CoRR, 2024

Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models.

Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Ferret: Refer and Ground Anything Anywhere at Any Granularity.

Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs.

Keen You, Haotian Zhang, Eldon Schoop, Floris Weers, Amanda Swearngin, Jeffrey Nichols, Yinfei Yang, Zhe Gan

Proceedings of the Computer Vision - ECCV 2024, 2024

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

VeCLIP: Improving CLIP Training via Visual-Enriched Captions.

Zhengfeng Lai, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions.

Zhengfeng Lai, Haotian Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

CoRR, 2023

2022

DIOR: DIstill Observations to Representations for Multi-Object Tracking and Segmentation.

Jiarui Cai, Yizhou Wang, Hung-Min Hsu, Haotian Zhang, Jenq-Neng Hwang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

GLIPv2: Unifying Localization and Vision-Language Understanding.

Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Grounded Language-Image Pre-training.

Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao

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

2021

ROD2021 Challenge: A Summary for Radar Object Detection Challenge for Autonomous Driving Applications.

Yizhou Wang, Jenq-Neng Hwang, Gaoang Wang, Hui Liu, Kwang-Ju Kim, Hung-Min Hsu, Jiarui Cai, Haotian Zhang, Zhongyu Jiang, Renshu Gu

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Monocular 3D Localization of Vehicles in Road Scenes.

Haotian Zhang, Haorui Ji, Aotian Zheng, Jenq-Neng Hwang, Ren-Hung Hwang

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Bundle Adjustment for Monocular Visual Odometry Based on Detections of Traffic Signs.

Yanting Zhang, Haotian Zhang, Gaoang Wang, Jie Yang, Jenq-Neng Hwang

IEEE Trans. Veh. Technol., 2020

IA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency.

Jiarui Cai, Yizhou Wang, Haotian Zhang, Hung-Min Hsu, Chengqian Ma, Jenq-Neng Hwang

CoRR, 2020

2019

Eye in the Sky: Drone-Based Object Tracking and 3D Localization.

Haotian Zhang, Gaoang Wang, Zhichao Lei, Jenq-Neng Hwang

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

Exploit the Connectivity: Multi-Object Tracking with TrackletNet.

Gaoang Wang, Yizhou Wang, Haotian Zhang, Renshu Gu, Jenq-Neng Hwang

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

Bundle Adjustment for Monocular Visual Odometry Based on Detected Traffic Sign Features.

Yanting Zhang, Jie Yang, Haotian Zhang, Jenq-Neng Hwang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results.

Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019