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Sheng Jin 0002
Person information
- affiliation: Nanyang Technological University, Singapore
- affiliation (former): Harbin Institute of Technology, China
Other persons with the same name
- Sheng Jin — disambiguation page
- Sheng Jin 0001 — Zhejiang University, Hangzhou, China
- Sheng Jin 0003 — Soochow University, Suzhou, China
- Sheng Jin 0004 — Hunan Agricultural University, Changsha, Hunan, China
- Sheng Jin 0005 — Shanghai Jiaotong University, Shanghai, China
- Sheng Jin 0006 — Chinese University of Hong Kong, Shenzhen, China
- Sheng Jin 0007 — The University of Hong Kong, Hong Kong, SAR, China (and 2 more)
- Sheng Jin 0008 — Communication University of Zhejiang, Hangzhou, Zhejiang, China
- Sheng Jin 0009 — China University of Geosciences, Beijing, China
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2020 – today
- 2024
- [j5]Jingyi Zhang, Jiaxing Huang, Sheng Jin, Shijian Lu:
Vision-Language Models for Vision Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5625-5644 (2024) - [c9]Xueying Jiang, Sheng Jin, Lewei Lu, Xiaoqin Zhang, Shijian Lu:
Weakly Supervised Monocular 3D Detection with a Single-View Image. CVPR 2024: 10508-10518 - [c8]Sheng Jin, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu:
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors. ICLR 2024 - [i14]Sheng Jin, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu:
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors. CoRR abs/2402.04630 (2024) - [i13]Xueying Jiang, Sheng Jin, Lewei Lu, Xiaoqin Zhang, Shijian Lu:
Weakly Supervised Monocular 3D Detection with a Single-View Image. CoRR abs/2402.19144 (2024) - [i12]Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu:
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders. CoRR abs/2405.07696 (2024) - [i11]Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye:
ESOD: Efficient Small Object Detection on High-Resolution Images. CoRR abs/2407.16424 (2024) - [i10]Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye:
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution. CoRR abs/2407.16430 (2024) - [i9]Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye:
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions. CoRR abs/2407.16725 (2024) - [i8]Xi Chen, Haosen Yang, Sheng Jin, Xiatian Zhu, Hongxun Yao:
FrozenSeg: Harmonizing Frozen Foundation Models for Open-Vocabulary Segmentation. CoRR abs/2409.03525 (2024) - 2023
- [j4]Lining Wang, Hongxun Yao, Haosen Yang, Sibo Wang, Sheng Jin:
MIFNet: Multiple instances focused temporal action proposal generation. Neurocomputing 538: 126025 (2023) - [c7]Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye:
Uncertainty-aware Unsupervised Multi-Object Tracking. ICCV 2023: 9962-9971 - [c6]Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu:
Domain Generalization via Balancing Training Difficulty and Model Capability. ICCV 2023: 18947-18957 - [c5]Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye:
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions. NeurIPS 2023 - [i7]Jingyi Zhang, Jiaxing Huang, Sheng Jin, Shijian Lu:
Vision-Language Models for Vision Tasks: A Survey. CoRR abs/2304.00685 (2023) - [i6]Jiaxing Huang, Jingyi Zhang, Han Qiu, Sheng Jin, Shijian Lu:
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation. CoRR abs/2306.16658 (2023) - [i5]Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye:
Uncertainty-aware Unsupervised Multi-Object Tracking. CoRR abs/2307.15409 (2023) - [i4]Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu:
Domain Generalization via Balancing Training Difficulty and Model Capability. CoRR abs/2309.00844 (2023) - 2022
- [c4]Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang:
Temporal Action Proposal Generation with Background Constraint. AAAI 2022: 3054-3062 - 2021
- [j3]Sheng Jin, Hongxun Yao, Qin Zhou, Yao Liu, Jianqiang Huang, Xian-Sheng Hua:
Unsupervised Discrete Hashing With Affinity Similarity. IEEE Trans. Image Process. 30: 6130-6141 (2021) - [c3]Sheng Jin, Qin Zhou, Hongxun Yao, Yao Liu, Xian-Sheng Hua:
Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing. AAAI 2021: 1717-1724 - [i3]Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang:
Temporal Action Proposal Generation with Background Constraint. CoRR abs/2112.07984 (2021) - 2020
- [j2]Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xian-Sheng Hua:
Deep Saliency Hashing for Fine-Grained Retrieval. IEEE Trans. Image Process. 29: 5336-5351 (2020) - [c2]Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua:
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation. AAAI 2020: 3422-3429 - [c1]Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xian-Sheng Hua:
SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation. AAAI 2020: 11157-11164
2010 – 2019
- 2019
- [j1]Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou:
Unsupervised semantic deep hashing. Neurocomputing 351: 19-25 (2019) - [i2]Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua:
SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation. CoRR abs/1911.08688 (2019) - [i1]Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua:
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation. CoRR abs/1912.11976 (2019)
Coauthor Index
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last updated on 2024-11-07 20:31 CET by the dblp team
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