Dianmo Sheng

According to our database, Dianmo Sheng authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs.

Xuanpu Zhao, Zhentao Tan, Dianmo Sheng, Tianxiang Chen, Yao Liu, Yue Wu, Tao Gong, Qi Chu, Nenghai Yu

CoRR, March, 2026

SAPL: Semantic-Agnostic Prompt Learning in CLIP for Weakly Supervised Image Manipulation Localization.

Xinghao Wang, Changtao Miao, Dianmo Sheng, Tao Gong, Qi Chu, Nenghai Yu, Quanchen Zou, Deyue Zhang, Xiangzheng Zhang

CoRR, January, 2026

FaceExpr: Personalized facial expression generation via attention-focused U-Net feature fusion in diffusion models.

Muhammad Sher Afgan, Bin Liu, Mamoona Naveed Asghar, Wajahat Khalid, Kai Zou, Dianmo Sheng

Inf. Fusion, 2026

2025

FishBEV: Distortion-Resilient Bird's Eye View Segmentation with Surround-View Fisheye Cameras.

Hang Li, Dianmo Sheng, Qiankun Dong, Zichun Wang, Zhiwei Xu, Tao Li

CoRR, September, 2025

UNICL-SAM: Uncertainty-Driven In-Context Segmentation with Part Prototype Discovery.

Dianmo Sheng, Dongdong Chen, Zhentao Tan, Qiankun Liu, Qi Chu, Tao Gong, Bin Liu, Jing Han, Wenbin Tu, Shengwei Xu, Nenghai Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results.

Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching.

Xuanpu Zhao, Dianmo Sheng, Zhentao Tan, Zhiwei Zhao, Tao Gong, Qi Chu, Bin Liu, Nenghai Yu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Detect Text Forgery with Non-forged Image Features: A Framework for Detection and Grounding of Image-Text Manipulation.

Yangyang Wang, Changtao Miao, Qi Chu, Tao Gong, Dianmo Sheng, Jiazhen Wang, Bin Liu, Nenghai Yu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Towards More Unified In-Context Visual Understanding.

Dianmo Sheng, Dongdong Chen, Zhentao Tan, Qiankun Liu, Qi Chu, Jianmin Bao, Tao Gong, Bin Liu, Shengwei Xu, Nenghai Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service.

Xiaoxiang Shi, Chao Li, Zijun Li, Zihan Liu, Dianmo Sheng, Quan Chen, Jingwen Leng, Minyi Guo

CoRR, 2023

X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion.

Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu

Proceedings of the International Conference on Machine Learning, 2023

2022

X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion.

Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu

CoRR, 2022