About Me

I’m Ruoteng LI, currently a Research Scientist at ByteDance AI-Lab, working intenstively on video understanding & recommendation, multi-modality learning. I am also a joint Lecturer in Electrical Engineering Faculty in National University of Singapore (NUS) in 2022 - 2023. I obtained my Ph.D degree from Electrical & Computer Engineering department, NUS in 2020 (from 2016-2020). My supervisor was Prof. Cheong Loong Fah and Prof. Robby T. Tan, who gave me untold valuable guidance and indispensable encouragements. Before that, I completed my bachelor degree from NUS and my high school education at Yao Hua High School in China. [Full CV]

I was a visiting student in Cambridge Image Analysis (CIA) group led by Dr. Carola-Bibiane Schönlieb at the Department Applied Mathematics and Theoretical Physics (DAMTP), Cambridge University. I was collaborating with Dr. Angelica I. Aviles-Rivero and Dr. Qingnan Fan on Image Processing problems.

I had my internship in Google, with DayDream, AR Core team in 2020 Summer. My supervisor Josh Hernandez helped me tremendously on solving AR tracking problem using intrinsic image decomposition. (slides)

Full CV / Resume / Google Scholar

Research

Conference & Journal

	Estimating reflectance layer from a single image: Integrating reflectance guidance and shadow/specular aware learning Yeying Jin, Ruoteng Li, Wenhan Yang, Robby T. Tan In Proceedings of the AAAI Conference on Artificial Intelligence 2023*
	AdAM: Few-Shot Generation via Adaption-Aware Kernel Modulation In Submission to TPAMI TPAMI
	Hybrid Warping Fusion for Video Frame Interpolation Yu Li, Ye Zhu, Ruoteng Li, Xintao Wang, Yue Luo, Ying Shan International Journal of Computer Vision (IJCV)*
	Realistic Large-Scale Fine-Depth Dehazing Dataset from 3D Videos In Submission to NeurIPS Dataset Track NeurIPS
	Single Image Reflection removal via learning with multi-image constraints Yingda Yin, Qingnan Fan, Dongdong Chen, Yujie Wang, Angelica Aviles-Rivero, Ruoteng Li, Carola-Bibiane Schnlieb, Baoquan Chen Arxiv*
	Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy In Submission to TPAMI TPAMI arXiv / codes / supplementary / BibTex
	Object Tracking using Spatio-Temporal Networks for Future Prediction Location Ruoteng Li, Yuan Liu, Yu Cheng, Robby T. Tan, Xiubao Sui ECCV 2020 paper / code / supplementary
	All-in-One Bad Weather Removal using Fusion Search Ruoteng Li, Robby T. Tan, Loong-Fah Cheong CVPR 2020 paper / supplementary
	RainFlow: Optical Flow under Rain Streaks and Rain Veiling Effect Ruoteng Li, Robby T. Tan, Loong-Fah Cheong, Angelica I. Aviles-Rivero, Qingnan Fan, Carola-bibiane Schönlieb ICCV 2019 paper / code / supplementary
	GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-bibiane Schönlieb. MICCAI 2019 paper
	Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning Ruoteng Li, Loong-Fah Cheong, Robby T. Tan CVPR, 2019 paper / code / supplementary / arXiv
	Robust Optical Flow in Rainy Scenes Ruoteng Li, Robby T. Tan, Loong-Fah Cheong, ECCV, 2018 paper / code / supplementary / arXiv