A Sparse Ensemble Learning System For Efficient Semantic Indexing. - Sheng Tang; Hui Chen; Yu Li 016; Jun Bin Xiao; Jintao Li 001 (ICMR, 2015)

Collaborative Dictionary Learning and Soft Assignment for Sparse Coding of Image Features. - Jie Liu 022; Sheng Tang; Yu Li 016 (MMM (1), 2017)

Object Localization Based on Proposal Fusion. - Sheng Tang; Yu Li 016; Lixi Deng; Yongdong Zhang 001 (IEEE Trans. Multim., 2017)

Learning and Thinking Strategy for Training Sequence Generation Models. - Yu Li 016; Sheng Tang; Min Lin; Junbo Guo; Jintao Li 001; Shuicheng Yan (BMVC, 2018)

Style Separation and Synthesis via Generative Adversarial Networks. - Rui Zhang 040; Sheng Tang; Yu Li 016; Junbo Guo; Yongdong Zhang 001; Jintao Li 001; Shuicheng Yan (ACM Multimedia, 2018)

Implicit Negative Sub-Categorization and Sink Diversion for Object Detection. - Yu Li 016; Sheng Tang; Min Lin; Yongdong Zhang 001; Jintao Li 001; Shuicheng Yan (IEEE Trans. Image Process., 2018)

Classification Calibration for Long-tail Instance Segmentation. - Tao Wang 053; Yu Li 016; Bingyi Kang; Junnan Li 001; Jun Hao Liew; Sheng Tang; Steven C. H. Hoi; Jiashi Feng (CoRR, 2019)

Asymmetric GAN for Unpaired Image-to-Image Translation. - Yu Li 016; Sheng Tang; Rui Zhang 040; Yongdong Zhang 001; Jintao Li 001; Shuicheng Yan (IEEE Trans. Image Process., 2019)

Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax. - Yu Li 016; Tao Wang 053; Bingyi Kang; Sheng Tang; Chunfeng Wang; Jintao Li 001; Jiashi Feng (CVPR, 2020)

The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. - Tao Wang 053; Yu Li 016; Bingyi Kang; Junnan Li 001; Jun Hao Liew; Sheng Tang; Steven C. H. Hoi; Jiashi Feng (ECCV (14), 2020)

Ahff-Net: Adaptive Hierarchical Feature Fusion Network For Image Inpainting. - Jiaqi Zhang; Sheng Tang; Xu Zhang; Yu Li 016; Rui Zhang 040 (ICIP, 2020)

Exploring Balanced Feature Spaces for Representation Learning. - Bingyi Kang; Yu Li 016; Sa Xie; Zehuan Yuan; Jiashi Feng (ICLR, 2021)

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations. - Tao Wang 053; Jun Hao Liew; Yu Li 016; Yunpeng Chen; Jiashi Feng (CoRR, 2022)

SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation. - Tao Wang 053; Jun Hao Liew; Yu Li 016; Yunpeng Chen; Jiashi Feng (IEEE Trans. Image Process., 2022)

Seed1.5-VL Technical Report. - Dong Guo; Faming Wu; Feida Zhu 005; Fuxing Leng; Guang Shi; Haobin Chen; Haoqi Fan 001; Jian Wang; Jianyu Jiang; Jiawei Wang; Jingji Chen; Jingjia Huang; et al. (CoRR, 2025)