Biography


I am currently a Ph.D. candidate at Hong Kong University of Science and Technology, supervised by Prof. Qifeng Chen. Before that, I received my B.S. and M.S. degree from Wuhan University under the supervision of Prof. Yanfei Zhong and Prof. Liangpei Zhang. My research interests include multi-modal data(point cloud/RGBD) processing and AIGC safety.

Publications


Preprints

Backdoor watermarking for copyright protection to generation model.
Rongrong Gao, Le Chen, TK Pham, Tianzhu Xiang, Qifeng Chen
preprint, 2023
A cross-modality embedding framework in latent space.
Rongrong Gao, Tianzhu Xiang, Chenyang Lei, Qifeng Chen
preprint, 2023

Papers

A Unified Query-based Paradigm for Camouflaged Instance Segmentation
Bo Dong, Jialun Pei, Rongrong Gao, Tianzhu Xiang, Shuo Wang, Huan Xiong
ACM MM, 2023
Diffusion Model for Camouflaged Object Detection
Zhennan Chen, Rongrong Gao, Tianzhu Xiang, Lin Fan.
EJCAI, 2023
Scene-level Point Cloud Colorization with Semantic-and-Geometric-aware Networks
Rongrong Gao, Tian-Zhu Xiang, Chenyang Lei, Jaesik Park, Qifeng Chen
IEEE International Conference on Robotics and Automation (ICRA), 2023
Joint Depth and Normal Estimation from Real-world Time-of-flight Raw Data
Rongrong Gao*, Na Fan*, Changlin Li, Wentao Liu, Qifeng Chen
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Future video synthesis with object motion prediction
Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Multiscale and Multifeature Normalized Cut Segmentation for High Spatial Resolution Remote Sensing Imagery
Yanfei Zhong, Rongrong Gao, Liangpei Zhang
IEEE Transactions on Geoscience and Remote Sensing, 2016
A Fusion Algorithm for Infrared and Visible Images Based on Adaptive Dual-channel Unit-linking PCNN in NSCT Domain
Tianzhu Xiang, Li Yan*, Rongrong Gao
Infrared Physics & Technology, 2015.

Intern


  • Research Intern, Allybot, 2018 - 2019
  • Research Intern, Sensetime, 2017 - 2018

Selected Awards


  • Hong Kong PhD Fellowship (HKPFS), 2019-2023
  • Outstanding Graduates, (Ranking 1/378)
  • National scholarships, 2013, 2014, 2015, 2017