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2020 – today
- 2024
[c3]Dianmo Sheng, Dongdong Chen, Zhentao Tan, Qiankun Liu, Qi Chu, Jianmin Bao, Tao Gong, Bin Liu, Shengwei Xu, Nenghai Yu:
Towards More Unified In-Context Visual Understanding. CVPR 2024: 13362-13372- [c2]Yangyang Wang, Changtao Miao, Qi Chu, Tao Gong, Dianmo Sheng, Jiazhen Wang, Bin Liu, Nenghai Yu:
Detect Text Forgery with Non-forged Image Features: A Framework for Detection and Grounding of Image-Text Manipulation. PRCV (11) 2024: 366-380 - 2023
- [c1]Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu:
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion. ICML 2023: 42098-42109 - [i3]Xiaoxiang Shi, Chao Li, Zijun Li, Zihan Liu, Dianmo Sheng, Quan Chen, Jingwen Leng, Minyi Guo:
DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service. CoRR abs/2306.11043 (2023) - [i2]Dianmo Sheng, Dongdong Chen, Zhentao Tan, Qiankun Liu, Qi Chu, Jianmin Bao, Tao Gong, Bin Liu, Shengwei Xu, Nenghai Yu:
Towards More Unified In-context Visual Understanding. CoRR abs/2312.02520 (2023) - 2022
- [i1]Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu:
X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion. CoRR abs/2212.03863 (2022)
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