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Chenchen Jing
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2020 – today
- 2024
- [c13]Chenchen Jing, Yukun Li, Hao Chen, Chunhua Shen:
Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning. AAAI 2024: 2652-2660 - [c12]Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, Yunde Jia:
In-Context Compositional Generalization for Large Vision-Language Models. EMNLP 2024: 17954-17966 - [c11]Xinyu Liu, Chenchen Jing, Mingliang Zhai, Yuwei Wu, Yunde Jia:
Visual-Guided Reasoning Path Generation for Visual Question Answering. PRCV (1) 2024: 167-180 - [i6]Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang:
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. CoRR abs/2403.10245 (2024) - [i5]Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang:
UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge. CoRR abs/2405.14554 (2024) - [i4]Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen:
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation. CoRR abs/2410.02369 (2024) - [i3]Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen:
A Simple Image Segmentation Framework via In-Context Examples. CoRR abs/2410.04842 (2024) - 2023
- [c10]Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen:
Learning Conditional Attributes for Compositional Zero-Shot Learning. CVPR 2023: 11197-11206 - [c9]Chuanhao Li, Zhen Li, Chenchen Jing, Yunde Jia, Yuwei Wu:
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language. CVPR 2023: 19092-19101 - [c8]Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen:
SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. ICCV 2023: 999-1008 - [i2]Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen:
Learning Conditional Attributes for Compositional Zero-Shot Learning. CoRR abs/2305.17940 (2023) - [i1]Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen:
SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. CoRR abs/2308.06531 (2023) - 2022
- [c7]Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu:
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing. AAAI 2022: 1122-1130 - [c6]Chenchen Jing, Yunde Jia, Yuwei Wu, Xinyu Liu, Qi Wu:
Maintaining Reasoning Consistency in Compositional Visual Question Answering. CVPR 2022: 5089-5098 - [c5]Jingyu Su, Chuanhao Li, Chenchen Jing, Yuwei Wu:
A Self-supervised Strategy for the Robustness of VQA Models. Intelligent Information Processing 2022: 290-298 - [c4]Mingliang Zhai, Chuanhao Li, Chenchen Jing, Yuwei Wu:
Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding. PRCV (1) 2022: 436-448 - 2020
- [c3]Chenchen Jing, Yuwei Wu, Xiaoxun Zhang, Yunde Jia, Qi Wu:
Overcoming Language Priors in VQA via Decomposed Linguistic Representations. AAAI 2020: 11181-11188 - [c2]Chenchen Jing, Yuwei Wu, Mingtao Pei, Yao Hu, Yunde Jia, Qi Wu:
Visual-Semantic Graph Matching for Visual Grounding. ACM Multimedia 2020: 4041-4050
2010 – 2019
- 2019
- [j3]Wei Jiang, Yuwei Wu, Chenchen Jing, Tan Yu, Yunde Jia:
Unsupervised deep quantization for object instance search. Neurocomputing 362: 60-71 (2019) - [j2]Chenchen Jing, Zhen Dong, Mingtao Pei, Yunde Jia:
Heterogeneous Hashing Network for Face Retrieval Across Image and Video Domains. IEEE Trans. Multim. 21(3): 782-794 (2019) - 2018
- [j1]Zhen Dong, Chenchen Jing, Mingtao Pei, Yunde Jia:
Deep CNN based binary hash video representations for face retrieval. Pattern Recognit. 81: 357-369 (2018) - 2017
- [c1]Chenchen Jing, Zhen Dong, Mingtao Pei, Yunde Jia:
Fusing Appearance Features and Correlation Features for Face Video Retrieval. PCM (2) 2017: 150-160
Coauthor Index
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