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Bo He 0004
Person information
- affiliation: University of Maryland, College Park, MD, USA
Other persons with the same name
- Bo He — disambiguation page
- Bo He 0001 — Xi'an Jiaotong University, School of Mechanical Engineering, State Key Laboratory for Manufacturing System Engineering, China
- Bo He 0002 — Ocean University of China, School of Information Science and Engineering, Qingdao, China (and 1 more)
- Bo He 0003 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Bo He 0005 — Shandong University, School of Information Science and Engineering, Qingdao, China (and 1 more)
- Bo He 0006 — ABa Teacher's College Wenchuan, Key Laboratory of Numerical Simulation of Sichuan Province, China (and 1 more)
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Conference and Workshop Papers
- 2024
- [c11]Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim:
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CVPR 2024: 13504-13514 - [c10]Junke Wang, Dongdong Chen, Chong Luo, Bo He, Lu Yuan, Zuxuan Wu, Yu-Gang Jiang:
OmniViD: A Generative Framework for Universal Video Understanding. CVPR 2024: 18209-18220 - [c9]Yixuan Ren, Jing Shi, Zhifei Zhang, Yifei Fan, Zhe Lin, Bo He, Abhinav Shrivastava:
Content-Aware Image Color Editing with Auxiliary Color Restoration Tasks. WACV 2024: 5180-5189 - 2023
- [c8]Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava:
Towards Scalable Neural Representation for Diverse Videos. CVPR 2023: 6132-6142 - [c7]Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang:
Align and Attend: Multimodal Summarization with Dual Contrastive Losses. CVPR 2023: 14867-14878 - [c6]Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava:
Chop & Learn: Recognizing and Generating Object-State Compositions. ICCV 2023: 20190-20201 - 2022
- [c5]Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava:
CNeRV: Content-adaptive Neural Representation for Visual Data. BMVC 2022: 510 - [c4]Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava:
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization. CVPR 2022: 13915-13925 - [c3]Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava:
Learning Semantic Correspondence with Sparse Annotations. ECCV (14) 2022: 267-284 - 2021
- [c2]Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava:
GTA: Global Temporal Attention for Video Action Understanding. BMVC 2021: 292 - [c1]Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava:
NeRV: Neural Representations for Videos. NeurIPS 2021: 21557-21568
Informal and Other Publications
- 2024
- [i12]Junke Wang, Dongdong Chen, Chong Luo, Bo He, Lu Yuan, Zuxuan Wu, Yu-Gang Jiang:
OmniVid: A Generative Framework for Universal Video Understanding. CoRR abs/2403.17935 (2024) - [i11]Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim:
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CoRR abs/2404.05726 (2024) - 2023
- [i10]Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang:
Align and Attend: Multimodal Summarization with Dual Contrastive Losses. CoRR abs/2303.07284 (2023) - [i9]Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava:
Towards Scalable Neural Representation for Diverse Videos. CoRR abs/2303.14124 (2023) - [i8]Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava:
Chop & Learn: Recognizing and Generating Object-State Compositions. CoRR abs/2309.14339 (2023) - [i7]Junke Wang, Lingchen Meng, Zejia Weng, Bo He, Zuxuan Wu, Yu-Gang Jiang:
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning. CoRR abs/2311.07574 (2023) - 2022
- [i6]Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava:
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization. CoRR abs/2203.15187 (2022) - [i5]Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava:
Learning Semantic Correspondence with Sparse Annotations. CoRR abs/2208.06974 (2022) - [i4]Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava:
CNeRV: Content-adaptive Neural Representation for Visual Data. CoRR abs/2211.10421 (2022) - 2021
- [i3]Xin Zhou, Le Kang, Zhiyu Cheng, Bo He, Jingyu Xin:
Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection. CoRR abs/2106.14447 (2021) - [i2]Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava:
NeRV: Neural Representations for Videos. CoRR abs/2110.13903 (2021) - 2020
- [i1]Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava:
GTA: Global Temporal Attention for Video Action Understanding. CoRR abs/2012.08510 (2020)
Coauthor Index
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