Sheng Jin

According to our database, Sheng Jin authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Vision-Language Models for Vision Tasks: A Survey.

Jingyi Zhang, Jiaxing Huang, Sheng Jin, Shijian Lu

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

FrozenSeg: Harmonizing Frozen Foundation Models for Open-Vocabulary Segmentation.

Xi Chen, Haosen Yang, Sheng Jin, Xiatian Zhu, Hongxun Yao

CoRR, 2024

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution.

Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye

CoRR, 2024

ESOD: Efficient Small Object Detection on High-Resolution Images.

Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye

CoRR, 2024

MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders.

Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu

CoRR, 2024

LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors.

Sheng Jin, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Weakly Supervised Monocular 3D Detection with a Single-View Image.

Xueying Jiang, Sheng Jin, Lewei Lu, Xiaoqin Zhang, Shijian Lu

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

2023

MIFNet: Multiple instances focused temporal action proposal generation.

Lining Wang, Hongxun Yao, Haosen Yang, Sibo Wang, Sheng Jin

Neurocomputing, June, 2023

Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation.

Jiaxing Huang, Jingyi Zhang, Han Qiu, Sheng Jin, Shijian Lu

CoRR, 2023

Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions.

Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Uncertainty-aware Unsupervised Multi-Object Tracking.

Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Domain Generalization via Balancing Training Difficulty and Model Capability.

Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Temporal Action Proposal Generation with Background Constraint.

Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Unsupervised Discrete Hashing With Affinity Similarity.

Sheng Jin, Hongxun Yao, Qin Zhou, Yao Liu, Jianqiang Huang, Xian-Sheng Hua

IEEE Trans. Image Process., 2021

Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing.

Sheng Jin, Qin Zhou, Hongxun Yao, Yao Liu, Xian-Sheng Hua

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Saliency Hashing for Fine-Grained Retrieval.

Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xian-Sheng Hua

IEEE Trans. Image Process., 2020

SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation.

Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xian-Sheng Hua

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation.

Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Unsupervised semantic deep hashing.

Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou

Neurocomputing, 2019