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2020 – today
- 2024
[j2]Zhangwei Gao, Zhe Chen, Erfei Cui, Yiming Ren, Weiyun Wang, Jinguo Zhu, Hao Tian, Shenglong Ye, Junjun He, Xizhou Zhu, Lewei Lu, Tong Lu, Yu Qiao, Jifeng Dai, Wenhai Wang
:
Mini-InternVL: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance. Vis. Intell. 2(1): 32 (2024)- [c10]Pengxiang Xie, Manchang Ju, Lingli Deng, Keguang He, Kaixi Liu, Jinguo Zhu:
Intent Negotiation Empowers Advanced Operations for the Intent-Driven Autonomous Network. ICIN 2024: 216-221 - [c9]Chenyu Yang, Xizhou Zhu, Jinguo Zhu, Weijie Su, Junjie Wang, Xuan Dong, Wenhai Wang, Bin Li, Jie Zhou, Yu Qiao, Jifeng Dai:
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning. NeurIPS 2024 - [i16]Yuying Ge, Sijie Zhao, Jinguo Zhu, Yixiao Ge, Kun Yi, Lin Song, Chen Li, Xiaohan Ding, Ying Shan:
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation. CoRR abs/2404.14396 (2024) - [i15]Chenyu Yang, Xizhou Zhu, Jinguo Zhu, Weijie Su, Junjie Wang, Xuan Dong, Wenhai Wang, Lewei Lu, Bin Li, Jie Zhou, Yu Qiao, Jifeng Dai:
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning. CoRR abs/2406.07543 (2024) - [i14]Jiahao Wang, Mingxuan Li, Haichen Luo, Jinguo Zhu, Aijun Yang, Mingzhe Rong, Xiaohua Wang:
Power-LLaVA: Large Language and Vision Assistant for Power Transmission Line Inspection. CoRR abs/2407.19178 (2024) - [i13]Zhangwei Gao, Zhe Chen, Erfei Cui, Yiming Ren, Weiyun Wang, Jinguo Zhu, Hao Tian, Shenglong Ye, Junjun He, Xizhou Zhu, Lewei Lu, Tong Lu, Yu Qiao, Jifeng Dai, Wenhai Wang:
Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance. CoRR abs/2410.16261 (2024) - [i12]Weiyun Wang, Zhe Chen, Wenhai Wang, Yue Cao, Yangzhou Liu, Zhangwei Gao, Jinguo Zhu, Xizhou Zhu, Lewei Lu, Yu Qiao, Jifeng Dai:
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization. CoRR abs/2411.10442 (2024) - [i11]Zhe Chen, Weiyun Wang, Yue Cao, Yangzhou Liu, Zhangwei Gao, Erfei Cui, Jinguo Zhu, Shenglong Ye, Hao Tian, Zhaoyang Liu, Lixin Gu, Xuehui Wang, Qingyun Li, Yimin Ren, Zixuan Chen, Jiapeng Luo, Jiahao Wang, Tan Jiang, Bo Wang, Conghui He, Botian Shi, Xingcheng Zhang, Han Lv, Yi Wang, Wenqi Shao, Pei Chu, Zhongying Tu, Tong He, Zhiyong Wu, Huipeng Deng, Jiaye Ge, Kai Chen, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang:
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling. CoRR abs/2412.05271 (2024) - [i10]Hao Li, Changyao Tian, Jie Shao, Xizhou Zhu, Zhaokai Wang, Jinguo Zhu, Wenhan Dou, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai:
SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding. CoRR abs/2412.09604 (2024) - [i9]Junqi Ge, Ziyi Chen, Jintao Lin, Jinguo Zhu, Xihui Liu, Jifeng Dai, Xizhou Zhu:
V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding. CoRR abs/2412.09616 (2024) - 2023
- [c8]Hao Li, Jinguo Zhu, Xiaohu Jiang, Xizhou Zhu, Hongsheng Li, Chun Yuan, Xiaohua Wang, Yu Qiao, Xiaogang Wang, Wenhai Wang, Jifeng Dai:
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. CVPR 2023: 2691-2700 - [c7]Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. NeurIPS 2023 - [i8]Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. CoRR abs/2310.04655 (2023) - [i7]Jinguo Zhu, Xiaohan Ding, Yixiao Ge, Yuying Ge, Sijie Zhao, Hengshuang Zhao, Xiaohua Wang, Ying Shan:
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation. CoRR abs/2312.09251 (2023) - 2022
- [c6]Xizhou Zhu, Jinguo Zhu, Hao Li, Xiaoshi Wu, Hongsheng Li, Xiaohua Wang, Jifeng Dai:
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. CVPR 2022: 16783-16794 - [c5]Jinguo Zhu, Xizhou Zhu, Wenhai Wang, Xiaohua Wang, Hongsheng Li, Xiaogang Wang, Jifeng Dai:
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs. NeurIPS 2022 - [i6]Jinguo Zhu, Xizhou Zhu, Wenhai Wang, Xiaohua Wang, Hongsheng Li, Xiaogang Wang, Jifeng Dai:
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs. CoRR abs/2206.04674 (2022) - [i5]Hao Li, Jinguo Zhu, Xiaohu Jiang, Xizhou Zhu, Hongsheng Li, Chun Yuan, Xiaohua Wang, Yu Qiao, Xiaogang Wang, Wenhai Wang, Jifeng Dai:
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. CoRR abs/2211.09808 (2022) - 2021
- [c4]Jinguo Zhu, Shixiang Tang, Dapeng Chen, Shijie Yu, Yakun Liu, Mingzhe Rong, Aijun Yang, Xiaohua Wang:
Complementary Relation Contrastive Distillation. CVPR 2021: 9260-9269 - [c3]Shixiang Tang, Dapeng Chen, Jinguo Zhu, Shijie Yu, Wanli Ouyang:
Layerwise Optimization by Gradient Decomposition for Continual Learning. CVPR 2021: 9634-9643 - [i4]Jinguo Zhu, Shixiang Tang, Dapeng Chen, Shijie Yu, Yakun Liu, Aijun Yang, Mingzhe Rong, Xiaohua Wang:
Complementary Relation Contrastive Distillation. CoRR abs/2103.16367 (2021) - [i3]Shixiang Tang, Dapeng Chen, Jinguo Zhu, Shijie Yu, Wanli Ouyang:
Layerwise Optimization by Gradient Decomposition for Continual Learning. CoRR abs/2105.07561 (2021) - [i2]Shijie Yu, Feng Zhu, Dapeng Chen, Rui Zhao, Haobin Chen, Shixiang Tang, Jinguo Zhu, Yu Qiao:
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification. CoRR abs/2105.12355 (2021) - [i1]Xizhou Zhu, Jinguo Zhu, Hao Li, Xiaoshi Wu, Xiaogang Wang, Hongsheng Li, Xiaohua Wang, Jifeng Dai:
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. CoRR abs/2112.01522 (2021) - 2020
- [j1]Jinguo Zhu, Yue Guo, Fanding Yue, Huan Yuan, Aijun Yang, Xiaohua Wang, Mingzhe Rong:
A Deep Learning Method to Detect Foreign Objects for Inspecting Power Transmission Lines. IEEE Access 8: 94065-94075 (2020) - [c2]Jinguo Zhu, Zejian Yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang:
Crowded Human Detection via an Anchor-pair Network. WACV 2020: 1380-1388
2010 – 2019
- 2019
- [c1]Jinguo Zhu, Zejian Yuan, Tie Liu:
Welding Joints Inspection via Residual Attention Network. MVA 2019: 1-5
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