Sheng Jin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Fine Grained Categorization

Object Detection

Labeled Samples

Top Venues

IEEE Trans. Image Process.

Publications

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 (2024)
Sheng Jin, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors. ICLR (2024)
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 (2024)
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 (2024)
Jingyi Zhang, Jiaxing Huang, Sheng Jin, Shijian Lu
Vision-Language Models for Vision Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
Uncertainty-aware Unsupervised Multi-Object Tracking. ICCV (2023)
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
Uncertainty-aware Unsupervised Multi-Object Tracking. CoRR (2023)
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)
Lining Wang, Hongxun Yao, Haosen Yang, Sibo Wang, Sheng Jin
MIFNet: Multiple instances focused temporal action proposal generation. Neurocomputing 538 (2023)
Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang
Temporal Action Proposal Generation with Background Constraint. AAAI (2022)
Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang
Temporal Action Proposal Generation with Background Constraint. CoRR (2021)
Sheng Jin, Hongxun Yao, Qin Zhou, Yao Liu, Jianqiang Huang, Xian-Sheng Hua
Unsupervised Discrete Hashing With Affinity Similarity. IEEE Trans. Image Process. 30 (2021)
Sheng Jin, Qin Zhou, Hongxun Yao, Yao Liu, Xian-Sheng Hua
Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing. AAAI (2021)
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)
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 (2020)
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)
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 (2019)
Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou
Unsupervised semantic deep hashing. Neurocomputing 351 (2019)
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 (2019)