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Shichao Dong
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2020 – today
- 2024
- [c11]Huadong Li, Minhao Jing, Jin Wang, Shichao Dong, Jiajun Liang, Haoqiang Fan, Renhe Ji:
Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion. ECCV (49) 2024: 127-143 - [c10]Jin Wang, Shichao Dong, Yapeng Zhu, Kelu Yao, Weidong Zhao, Chao Li, Ping Luo:
Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View. ICML 2024 - [i8]Jin Wang, Shichao Dong, Yapeng Zhu, Kelu Yao, Weidong Zhao, Chao Li, Ping Luo:
Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View. CoRR abs/2405.17201 (2024) - [i7]Huadong Li, Shichao Dong, Jin Wang, Rong Fu, Minhao Jing, Jiajun Liang, Haoqiang Fan, Renhe Ji:
Towards RGB-NIR Cross-modality Image Registration and Beyond. CoRR abs/2405.19914 (2024) - [i6]Shichao Dong, Ze Yang, Guosheng Lin:
3D-VirtFusion: Synthetic 3D Data Augmentation through Generative Diffusion Models and Controllable Editing. CoRR abs/2408.13788 (2024) - 2023
- [c9]Shichao Dong, Jin Wang, Renhe Ji, Jiajun Liang, Haoqiang Fan, Zheng Ge:
Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization. CVPR 2023: 3994-4004 - [c8]Shichao Dong, Ruibo Li, Jiacheng Wei, Fayao Liu, Guosheng Lin:
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision. ICCV 2023: 16619-16628 - [i5]Shichao Dong, Guosheng Lin:
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations. CoRR abs/2308.01721 (2023) - [i4]Shichao Dong, Fayao Liu, Guosheng Lin:
Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation. CoRR abs/2311.01989 (2023) - 2022
- [c7]Shichao Dong, Jin Wang, Jiajun Liang, Haoqiang Fan, Renhe Ji:
Explaining Deepfake Detection by Analysing Image Matching. ECCV (14) 2022: 18-35 - [c6]Shichao Dong, Guosheng Lin, Tzu-Yi Hung:
Learning Regional Purity for Instance Segmentation on 3D Point Clouds. ECCV (30) 2022: 56-72 - [i3]Shichao Dong, Jin Wang, Jiajun Liang, Haoqiang Fan, Renhe Ji:
Explaining Deepfake Detection by Analysing Image Matching. CoRR abs/2207.09679 (2022) - [i2]Shichao Dong, Ruibo Li, Jiacheng Wei, Fayao Liu, Guosheng Lin:
RWSeg: Cross-graph Competing Random Walks for Weakly Supervised 3D Instance Segmentation. CoRR abs/2208.05110 (2022) - [i1]Shichao Dong, Jin Wang, Renhe Ji, Jiajun Liang, Haoqiang Fan, Zheng Ge:
Towards A Robust Deepfake Detector: Common Artifact Deepfake Detection Model. CoRR abs/2210.14457 (2022) - 2021
- [j2]Kai Wang, Shichao Dong, Nian Liu, Junhui Yang, Tao Li, Qinghua Hu:
PA-Net: Learning local features using by pose attention for short-term person re-identification. Inf. Sci. 565: 196-209 (2021)
2010 – 2019
- 2018
- [c5]Dingmin Wang, Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong:
A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction. AAAI 2018: 8169-8170 - 2016
- [c4]Shichao Dong, Gabriel Pui Cheong Fung, Binyang Li, Baolin Peng, Ming Liao, Jia Zhu, Kam-Fai Wong:
ACE: Automatic Colloquialism, Typographical and Orthographic Errors Detection for Chinese Language. COLING (Demos) 2016: 194-197 - 2015
- [j1]Zhonghong Ou, Jiang Dong, Shichao Dong, Jun Wu, Antti Ylä-Jääski, Pan Hui, Ren Wang, Alexander W. Min:
Utilize Signal Traces from Others? A Crowdsourcing Perspective of Energy Saving in Cellular Data Communication. IEEE Trans. Mob. Comput. 14(1): 194-207 (2015) - 2013
- [c3]Zhonghong Ou, Shichao Dong, Jiang Dong, Jukka K. Nurminen, Antti Ylä-Jääski, Ren Wang:
Characterize energy impact of concurrent network-intensive applications on mobile platforms. MobiArch 2013: 23-28 - 2011
- [c2]Huanchen Zhang, Haojie Li, Shichao Dong, Weifeng Sun:
RoboGene: An Image Retrieval System with Multi-Level Log-Based Relevance Feedback Scheme. MMM (2) 2011: 476-478 - 2010
- [c1]Huanchen Zhang, Weifeng Sun, Shichao Dong, Long Chen, Chuang Lin:
Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval. ADMA (2) 2010: 545-552
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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