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Qinghong Lin
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2020 – today
- 2024
- [c15]Ziteng Gao, Zhan Tong, Kevin Qinghong Lin, Joya Chen, Mike Zheng Shou:
Bootstrapping SparseFormers from Vision Foundation Models. CVPR 2024: 17710-17721 - [c14]Joya Chen, Zhaoyang Lv, Shiwei Wu, Kevin Qinghong Lin, Chenan Song, Difei Gao, Jia-Wei Liu, Ziteng Gao, Dongxing Mao, Mike Zheng Shou:
VideoLLM-online: Online Video Large Language Model for Streaming Video. CVPR 2024: 18407-18418 - [c13]Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Zheng Shou:
Learning Video Context as Interleaved Multimodal Sequences. ECCV (49) 2024: 375-396 - [c12]Difei Gao
, Siyuan Hu
AssistEditor: Multi-Agent Collaboration for GUI Workflow Automation in Video Creation. ACM Multimedia 2024: 11255-11257 - [i23]Alex Jinpeng Wang, Linjie Li, Kevin Qinghong Lin, Jianfeng Wang, Kevin Lin, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou:
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training. CoRR abs/2401.00849 (2024) - [i22]Jinheng Xie, Jiajun Feng, Zhaoxu Tian, Kevin Qinghong Lin, Yawen Huang, Xi Xia, Nanxu Gong, Xu Zuo, Jiaqi Yang, Yefeng Zheng, Mike Zheng Shou:
Learning Long-form Video Prior via Generative Pre-Training. CoRR abs/2404.15909 (2024) - [i21]Kevin Qinghong Lin, Linjie Li, Difei Gao, Qinchen Wu, Mingyi Yan, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou:
VideoGUI: A Benchmark for GUI Automation from Instructional Videos. CoRR abs/2406.10227 (2024) - [i20]Joya Chen, Zhaoyang Lv, Shiwei Wu, Kevin Qinghong Lin, Chenan Song, Difei Gao, Jia-Wei Liu, Ziteng Gao, Dongxing Mao, Mike Zheng Shou:
VideoLLM-online: Online Video Large Language Model for Streaming Video. CoRR abs/2406.11816 (2024) - [i19]Qinchen Wu, Difei Gao, Kevin Qinghong Lin, Zhuoyu Wu, Xiangwu Guo, Peiran Li, Weichen Zhang, Hengxu Wang, Mike Zheng Shou:
GUI Action Narrator: Where and When Did That Action Take Place? CoRR abs/2406.13719 (2024) - [i18]Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Zheng Shou:
Learning Video Context as Interleaved Multimodal Sequences. CoRR abs/2407.21757 (2024) - [i17]Jinheng Xie, Weijia Mao, Zechen Bai, David Junhao Zhang, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, Mike Zheng Shou:
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation. CoRR abs/2408.12528 (2024) - [i16]Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao, Qianli Xu, Tong Xu, Yao Hu, Enhong Chen, Mike Zheng Shou:
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation. CoRR abs/2408.16730 (2024) - 2023
- [j3]Rong-Cheng Tu
Unsupervised Hashing with Semantic Concept Mining. Proc. ACM Manag. Data 1(1): 3:1-3:19 (2023) - [j2]Rong-Cheng Tu
Unsupervised Cross-Modal Hashing With Modality-Interaction. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5296-5308 (2023) - [j1]Rong-Cheng Tu
Unsupervised Cross-Modal Hashing via Semantic Text Mining. IEEE Trans. Multim. 25: 8946-8957 (2023) - [c11]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:
All in One: Exploring Unified Video-Language Pre-Training. CVPR 2023: 6598-6608 - [c10]Joya Chen, Difei Gao, Kevin Qinghong Lin, Mike Zheng Shou:
Affordance Grounding from Demonstration Video to Target Image. CVPR 2023: 6799-6808 - [c9]Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou:
UniVTG: Towards Unified Video-Language Temporal Grounding. ICCV 2023: 2782-2792 - [c8]Alex Jinpeng Wang, Kevin Qinghong Lin, David Junhao Zhang, Stan Weixian Lei, Mike Zheng Shou:
Too Large; Data Reduction for Vision-Language Pre-Training. ICCV 2023: 3124-3134 - [c7]Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang:
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. ICCV 2023: 5262-5274 - [c6]Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
Learning Visual Prior via Generative Pre-Training. NeurIPS 2023 - [i15]Joya Chen
Affordance Grounding from Demonstration Video to Target Image. CoRR abs/2303.14644 (2023) - [i14]Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
VisorGPT: Learning Visual Prior via Generative Pre-Training. CoRR abs/2305.13777 (2023) - [i13]Alex Jinpeng Wang, Kevin Qinghong Lin, David Junhao Zhang, Stan Weixian Lei, Mike Zheng Shou:
Too Large; Data Reduction for Vision-Language Pre-Training. CoRR abs/2305.20087 (2023) - [i12]Difei Gao, Lei Ji, Luowei Zhou, Kevin Qinghong Lin, Joya Chen, Zihan Fan, Mike Zheng Shou:
AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn. CoRR abs/2306.08640 (2023) - [i11]Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang:
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. CoRR abs/2307.05463 (2023) - [i10]Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou:
UniVTG: Towards Unified Video-Language Temporal Grounding. CoRR abs/2307.16715 (2023) - [i9]Henghao Zhao, Kevin Qinghong Lin, Rui Yan, Zechao Li:
DiffusionVMR: Diffusion Model for Video Moment Retrieval. CoRR abs/2308.15109 (2023) - [i8]Ziteng Gao, Zhan Tong, Kevin Qinghong Lin, Joya Chen, Mike Zheng Shou:
Bootstrapping SparseFormers from Vision Foundation Models. CoRR abs/2312.01987 (2023) - 2022
- [c5]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang:
Deep Unsupervised Hashing with Latent Semantic Components. AAAI 2022: 7488-7496 - [c4]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:
Egocentric Video-Language Pretraining. NeurIPS 2022 - [i7]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang:
Deep Unsupervised Hashing with Latent Semantic Components. CoRR abs/2203.09420 (2022) - [i6]Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray
Egocentric Video-Language Pretraining. CoRR abs/2206.01670 (2022) - [i5]Kevin Qinghong Lin, Alex Jinpeng Wang, Rui Yan, Eric Zhongcong Xu
Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022. CoRR abs/2207.01334 (2022) - [i4]Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray
Egocentric Video-Language Pretraining @ Ego4D Challenge 2022. CoRR abs/2207.01622 (2022) - [i3]Rong-Cheng Tu, Xian-Ling Mao, Kevin Qinghong Lin, Chengfei Cai, Weize Qin, Hongfa Wang, Wei Wei, Heyan Huang:
Unsupervised Hashing with Semantic Concept Mining. CoRR abs/2209.11475 (2022) - 2021
- [c3]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. CIKM 2021: 1028-1037 - [i2]Qinghong Lin, Weichan Zhong, Jianglin Lu:
Deep Superpixel Cut for Unsupervised Image Segmentation. CoRR abs/2103.06031 (2021) - [i1]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. CoRR abs/2108.07094 (2021) - 2020
- [c2]Jianglin Lu, Zhihui Lai, Jingxu Lin, Qinghong Lin, Jie Zhou:
Label Self-Adaption Hashing for Image Retrieval. ICPR 2020: 2256-2263 - [c1]Qinghong Lin, Weichan Zhong, Jianglin Lu:
Deep Superpixel Cut for Unsupervised Image Segmentation. ICPR 2020: 8870-8876
Coauthor Index
aka: Mike Zheng Shou
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