Li Jia
Gender:Male
Education Level:博士研究生
Alma Mater:中国科学院计算技术研究所
-
.Shiming Ge, Shengwei Zhao, Chenyu Li and Jia Li*. Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation. IEEE Transactions on Image Processing, 28(4), pp. 2051-2062, April, 2019. (CCF-A)
-
.Yuming Fang, Guanqun Ding, Jia Li and Zhijun Fang*. Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks. IEEE Transactions on Image Processing, 28(5), pp. 2305-2318, May 2019. (CCF-A)
-
.Ali Borji#, Mingming Cheng#*, Qibin Hou, Huaizu Jiang, Jia Li. Salient Object Detection: A Survey. Computational Visual Media, 5(2), pp. 117-150, June 2019.
-
.Tao Ruan, Shikui Wei*, Jia Li* and Yao Zhao. Rearranging Online Tubes for Streaming Video Synopsis: A Dynamic Graph Coloring Approach. IEEE Transactions on Image Processing, 28(8), 3873-3884, Aug. 2019. (CCF-A)
-
.Shikui Wei, Lixin Liao, Jia Li*, Qinjie Zheng, Fei Yang and Yao Zhao. Saliency Inside: Learning Attentive CNNs for Content-based Image Retrieval. IEEE Transactions on Image Processing, 28(9), 4580-4593, Sep 2019. (CCF-A)
-
.Jia Li, Kui Fu, Shengwei Zhao and Shiming Ge*. Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency. IEEE Transactions on Image Processing, 29(1), 1902-1914, Dec. 2020. (CCF-A).
-
.Shiming Ge, Shengwei Zhao, Chenyu Li, Yu Zhang and Jia Li*. Efficient Low-Resolution Face Recognition via Bridge Distillation. IEEE Transactions on Image Processing, 29, pp. 6898-6908, 2020. (CCF-A).
-
.Kui Fu, Jia Li*, Yu Zhang, Hongze Shen, Yonghong Tian. Model-guided Multi-path Knowledge Aggregation for Aerial Saliency Prediction. IEEE Transactions on Image Processing, 29, pp. 7117-7127, 2020. (CCF-A).
-
.Yifan Zhao, Jia Li*, Yu Zhang, Yafei Song and Yonghong Tian. Ordinal Multi-task Part Segmentation with Recurrent Prior Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(5), 1636-1648, 2021 (CCF-A)
-
.Jia Li*, Yafei Song, Jianfeng Zhu, Lele Cheng, Ying Su, Lin Ye, Pengcheng Yuan and Shumin Han*. Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(5), pp. 1808-1814, 2021 (CCF-A).