Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes. - Huiting Yang; Liangyu Chai; Qiang Wen; Shuang Zhao; Zixun Sun; Shengfeng He (CVPR, 2021)

Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting. - Yongtuo Liu; Sucheng Ren; Liangyu Chai; Hanjie Wu; Jing Qin 001; Dan Xu 002; Shengfeng He (CoRR, 2021)

Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations. - Zhixuan Zhong; Liangyu Chai; Yang Zhou 038; Bailin Deng; Jia Pan 001; Shengfeng He (CVPR, 2022)

CrowdGAN: Identity-Free Interactive Crowd Video Generation and Beyond. - Liangyu Chai; Yongtuo Liu; Wenxi Liu; Guoqiang Han; Shengfeng He (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Make Your Own Sprites: Aliasing-Aware and Cell-Controllable Pixelization. - Zongwei Wu; Liangyu Chai; Nanxuan Zhao; Bailin Deng; Yongtuo Liu; Qiang Wen; Junle Wang; Shengfeng He (ACM Trans. Graph., 2022)

Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting. - Yongtuo Liu; Sucheng Ren; Liangyu Chai; Hanjie Wu; Dan Xu 002; Jing Qin 001; Shengfeng He (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting. - Zheng Xiong; Liangyu Chai; Wenxi Liu; Yongtuo Liu; Sucheng Ren; Shengfeng He (WACV, 2024)