Qinghong Lin

According to our database, Qinghong Lin authored at least 22 papers between 2020 and 2024.

Collaborative distances:

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

2024

COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training.

Alex Jinpeng Wang, Linjie Li, Kevin Qinghong Lin, Jianfeng Wang, Kevin Lin, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou

CoRR, 2024

2023

Unsupervised Cross-Modal Hashing With Modality-Interaction.

Rong-Cheng Tu, Jie Jiang, Qinghong Lin, Chengfei Cai, Shangxuan Tian, Hongfa Wang, Wei Liu

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Unsupervised Cross-Modal Hashing via Semantic Text Mining.

Rong-Cheng Tu, Xian-Ling Mao, Qinghong Lin, Wenjin Ji, Weize Qin, Wei Wei, Heyan Huang

IEEE Trans. Multim., 2023

Unsupervised Hashing with Semantic Concept Mining.

Rong-Cheng Tu, Xian-Ling Mao, Kevin Qinghong Lin, Chengfei Cai, Weize Qin, Wei Wei, Hongfa Wang, Heyan Huang

Proc. ACM Manag. Data, 2023

Bootstrapping SparseFormers from Vision Foundation Models.

Ziteng Gao, Zhan Tong, Kevin Qinghong Lin, Joya Chen, Mike Zheng Shou

CoRR, 2023

DiffusionVMR: Diffusion Model for Video Moment Retrieval.

Henghao Zhao, Kevin Qinghong Lin, Rui Yan, Zechao Li

CoRR, 2023

AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn.

Difei Gao, Lei Ji, Luowei Zhou, Kevin Qinghong Lin, Joya Chen, Zihan Fan, Mike Zheng Shou

CoRR, 2023

VisorGPT: Learning Visual Prior via Generative Pre-Training.

Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

CoRR, 2023

Learning Visual Prior via Generative Pre-Training.

Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

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

Too Large; Data Reduction for Vision-Language Pre-Training.

Alex Jinpeng Wang, Kevin Qinghong Lin, David Junhao Zhang, Stan Weixian Lei, Mike Zheng Shou

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

EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone.

Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang

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

UniVTG: Towards Unified Video-Language Temporal Grounding.

Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou

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

All in One: Exploring Unified Video-Language Pre-Training.

Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Kevin Qinghong Lin, Satoshi Tsutsui, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

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

Affordance Grounding from Demonstration Video to Target Image.

Joya Chen, Difei Gao, Kevin Qinghong Lin, Mike Zheng Shou

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

2022

Egocentric Video-Language Pretraining @ Ego4D Challenge 2022.

Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

CoRR, 2022

Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022.

Kevin Qinghong Lin, Alex Jinpeng Wang, Rui Yan, Eric Zhongcong Xu, Rong-Cheng Tu, Yanru Zhu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Wei Liu, Mike Zheng Shou

CoRR, 2022

Egocentric Video-Language Pretraining.

Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

CoRR, 2022

Egocentric Video-Language Pretraining.

Kevin Qinghong Lin, Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

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

Deep Unsupervised Hashing with Latent Semantic Components.

Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang

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

2021

Deep Self-Adaptive Hashing for Image Retrieval.

Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Label Self-Adaption Hashing for Image Retrieval.

Jianglin Lu, Zhihui Lai, Jingxu Lin, Qinghong Lin, Jie Zhou

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deep Superpixel Cut for Unsupervised Image Segmentation.

Qinghong Lin, Weichan Zhong, Jianglin Lu

Proceedings of the 25th International Conference on Pattern Recognition, 2020