A novel and robust face clustering method via adaptive difference dictionary. - Jiaxiang Ren 002; Shengjie Zhao 001; Kai Yang 001; Brian Nlong Zhao (ICME Workshops, 2017)

ROECS: A Robust Semi-direct Pipeline Towards Online Extrinsics Correction of the Surround-view System. - Tianjun Zhang; Brian Nlong Zhao; Ying Shen 005; Xuan Shao; Lin Zhang 014; Yicong Zhou (ACM Multimedia, 2021)

Scene Text Image Super-Resolution via Parallelly Contextual Attention Network. - Cairong Zhao; Shuyang Feng; Brian Nlong Zhao; Zhijun Ding; Jun Wu 006; Fumin Shen; Heng Tao Shen (ACM Multimedia, 2021)

DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection. - Yunhao Ge; Jiashu Xu; Brian Nlong Zhao; Laurent Itti; Vibhav Vineet (CoRR, 2022)

EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation. - Yunhao Ge; Jiashu Xu; Brian Nlong Zhao; Laurent Itti; Vibhav Vineet (CoRR, 2022)

Rectified Neighborhood Construction for Robust Feature Matching With Heavy Outliers. - Yizhang Liu; Brian Nlong Zhao; Shengjie Zhao 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Progressive Motion Coherence for Remote Sensing Image Matching. - Yizhang Liu; Brian Nlong Zhao; Shengjie Zhao 001; Lin Zhang 014 (IEEE Trans. Geosci. Remote. Sens., 2022)

Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation. - Yunhao Ge; Jiashu Xu; Brian Nlong Zhao; Neel Joshi; Laurent Itti; Vibhav Vineet (CoRR, 2023)

DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models. - Brian Nlong Zhao; Yuhang Xiao; Jiashu Xu; Xinyang Jiang; Yifan Yang 004; Dongsheng Li 002; Laurent Itti; Vibhav Vineet; Yunhao Ge (CoRR, 2023)

Extrinsic Self-Calibration of the Surround-View System: A Weakly Supervised Approach. - Yang Chen 037; Lin Zhang 014; Ying Shen 005; Brian Nlong Zhao; Yicong Zhou (IEEE Trans. Multim., 2023)

Probabilistic Prompt Distribution Learning for Animal Pose Estimation. - Jiyong Rao; Brian Nlong Zhao; Yu Wang (CVPR, 2025)

DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation. - Brian Nlong Zhao; Yuhang Xiao; Jiashu Xu; Xinyang Jiang; Yifan Yang 004; Dongsheng Li 002; Laurent Itti; Vibhav Vineet; Yunhao Ge (ICLR, 2025)