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Qixiang Ye
- > Home > Persons > Qixiang Ye
Publications
- 2024
- [i89]Yunjie Tian, TianRen Ma, Lingxi Xie, Jihao Qiu, Xi Tang, Yuan Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye:
ChatterBox: Multi-round Multimodal Referring and Grounding. CoRR abs/2401.13307 (2024) - 2023
- [j66]Zhiliang Peng, Zonghao Guo, Wei Huang, Yaowei Wang, Lingxi Xie, Jianbin Jiao, Qi Tian, Qixiang Ye:
Conformer: Local Features Coupling Global Representations for Recognition and Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9454-9468 (2023) - [j63]Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye:
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12699-12706 (2023) - [c99]Yunjie Tian, Lingxi Xie, Zhaozhi Wang, Longhui Wei, Xiaopeng Zhang, Jianbin Jiao, Yaowei Wang, Qi Tian, Qixiang Ye:
Integrally Pre-Trained Transformer Pyramid Networks. CVPR 2023: 18610-18620 - [c96]Xiaosong Zhang, Yunjie Tian, Lingxi Xie, Wei Huang, Qi Dai, Qixiang Ye, Qi Tian:
HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer. ICLR 2023 - 2022
- [j49]Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Chia-Wen Lin, Rongrong Ji:
Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 1012-1026 (2022) - [j48]Tianliang Zhang, Qixiang Ye, Baochang Zhang, Jianzhuang Liu, Xiaopeng Zhang, Qi Tian:
Feature Calibration Network for Occluded Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. 23(5): 4151-4163 (2022) - [j43]Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji:
Filter Sketch for Network Pruning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7091-7100 (2022) - [i72]Yunjie Tian, Lingxi Xie, Jiemin Fang, Mengnan Shi, Junran Peng, Xiaopeng Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye:
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers. CoRR abs/2203.14313 (2022) - [i69]Xiaosong Zhang, Yunjie Tian, Wei Huang, Qixiang Ye, Qi Dai, Lingxi Xie, Qi Tian:
HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling. CoRR abs/2205.14949 (2022) - [i66]Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye:
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning. CoRR abs/2210.00232 (2022) - [i62]Yunjie Tian, Lingxi Xie, Zhaozhi Wang, Longhui Wei, Xiaopeng Zhang, Jianbin Jiao, Yaowei Wang, Qi Tian, Qixiang Ye:
Integrally Pre-Trained Transformer Pyramid Networks. CoRR abs/2211.12735 (2022) - [i60]Tianliang Zhang, Qixiang Ye, Baochang Zhang, Jianzhuang Liu, Xiaopeng Zhang, Qi Tian:
Feature Calibration Network for Occluded Pedestrian Detection. CoRR abs/2212.05717 (2022) - 2021
- [c86]Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji:
Towards Compact CNNs via Collaborative Compression. CVPR 2021: 6438-6447 - [c78]Wei Gao, Fang Wan, Xingjia Pan, Zhiliang Peng, Qi Tian, Zhenjun Han, Bolei Zhou, Qixiang Ye:
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization. ICCV 2021: 2866-2875 - [i55]Wei Gao, Fang Wan, Xingjia Pan, Zhiliang Peng, Qi Tian, Zhenjun Han, Bolei Zhou, Qixiang Ye:
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization. CoRR abs/2103.14862 (2021) - [i51]Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji:
Towards Compact CNNs via Collaborative Compression. CoRR abs/2105.11228 (2021) - [i43]Yunjie Tian, Lingxi Xie, Xiaopeng Zhang, Jiemin Fang, Haohang Xu, Wei Huang, Jianbin Jiao, Qi Tian, Qixiang Ye:
Semantic-Aware Generation for Self-Supervised Visual Representation Learning. CoRR abs/2111.13163 (2021) - [i41]Yunjie Tian, Lingxi Xie, Jiemin Fang, Jianbin Jiao, Qixiang Ye, Qi Tian:
Exploring Complicated Search Spaces with Interleaving-Free Sampling. CoRR abs/2112.02488 (2021) - 2020
- [c68]Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian:
Rethinking Performance Estimation in Neural Architecture Search. CVPR 2020: 11353-11362 - [c65]Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian:
API-Net: Robust Generative Classifier via a Single Discriminator. ECCV (13) 2020: 379-394 - [i38]Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian:
Filter Sketch for Network Pruning. CoRR abs/2001.08514 (2020) - [i34]Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian:
Rethinking Performance Estimation in Neural Architecture Search. CoRR abs/2005.09917 (2020) - [i26]Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Rongrong Ji:
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation. CoRR abs/2007.13264 (2020) - 2019
- [c50]Jie Hu, Rongrong Ji, Shengchuan Zhang, Xiaoshuai Sun, Qixiang Ye, Chia-Wen Lin, Qi Tian:
Information Competing Process for Learning Diversified Representations. NeurIPS 2019: 2175-2186 - [i15]Jie Hu, Rongrong Ji, Shengchuan Zhang, Xiaoshuai Sun, Qixiang Ye, Chia-Wen Lin, Qi Tian:
Information Competing Process for Learning Diversified Representations. CoRR abs/1906.01288 (2019)
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last updated on 2024-05-26 02:20 CEST by the dblp team
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