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Jiacheng Cheng
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2020 – today
- 2024
- [j1]Jiacheng Cheng, Xiwen Yao
, Xuguang Yang, Xiang Yuan
DIMA: Digging Into Multigranular Archetype for Fine-Grained Object Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c6]Jiacheng Cheng, Nuno Vasconcelos:
Towards Calibrated Multi-Label Deep Neural Networks. CVPR 2024: 27579-27589 - [c5]Jiacheng Cheng, Xiang Dai, Jia Wan, Nick Antipa, Nuno Vasconcelos:
Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks. ECCV (70) 2024: 349-367 - [i2]Jiacheng Cheng, Hijung Valentina Shin, Nuno Vasconcelos, Bryan C. Russell, Fabian Caba Heilbron:
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval. CoRR abs/2405.03190 (2024) - 2022
- [c4]Jiacheng Cheng
Calibrating Deep Neural Networks by Pairwise Constraints. CVPR 2022: 13699-13708 - 2021
- [c3]Jiacheng Cheng
Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection. CVPR 2021: 1664-1673 - [c2]Xiaoxi Liu, Jiacheng Cheng, Yifan Gu, Xinhua Lei, Bo Wang, Yongmei Cheng:
A Highway Distance Posts Detection Method Based on S-YOLOv3. ICCAIS 2021: 974-979 - 2020
- [c1]Jiacheng Cheng
Learning with Bounded Instance and Label-dependent Label Noise. ICML 2020: 1789-1799
2010 – 2019
- 2017
- [i1]Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao, Dacheng Tao:
Learning with Bounded Instance- and Label-dependent Label Noise. CoRR abs/1709.03768 (2017)
Coauthor Index
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