Greetings! 😆
Welcome to my website!
I am Yaokun Li, from the School of Intelligent Systems Engineering, Sun Yat-sen University. I have a broad interest in the exciting field of computer vision, involving:
👉 Generalizable neural representations: Dedicated to advancing lightweight, generalizable 3D representations for future general AI.
👉 Uncertainty in Sparse-view 3D Reconstruction/Generation: Striving to solve the ill-posed spare reconstruction/generation issue, especially from a generative perspective incorporating knowledge of LLMs or VLMs.
Moreover, I am also interested in face analysis/editing, which I have done some work on before.
🔥 News 🔥
∙ [2024.02] 🌟🌟 Our new work, ID-NeRF, is released! Check it out via here.
∙ [2023.11] 🎉🎉 One paper CIT is accepted to IJCV
∙ [2023.09] 🎉🎉 One paper PIT is accepted to TITS
∙ [2022.07] 🎉🎉 One paper MS-GCN is accepted to ITSC 2022
∙ [2021.09] 🚀🚀 Start my journey at ISE@SYSU
📑 Preprints
Taming Uncertainty in Sparse-view Generalizable NeRF via Indirect Diffusion Guidance
Yaokun Li, Chao Gou, Guang Tan
arXiv Preprint, 2024
Paper
📑 Publications
Cascaded Iterative Transformer for Jointly Predicting Facial Landmark, Occlusion Probability and Head Pose
Yaokun Li, Guang Tan, Chao Gou
International Journal of Computer Vision (IJCV 2023)
Paper | Code
PIT: Progressive Interaction Transformer for Pedestrian Crossing Intention Prediction
Yuchen Zhou, Guang Tan, Rui Zhong, Yaokun Li, Chao Gou
IEEE Transactions on Intelligent Transportation Systems (TITS 2023)
Paper
MS-GCN: Multi-Stream Graph Convolution Network for Driver Head Pose Estimation
Yaokun Li, Yuezhao Yu, Yuliang Liu, Chao Gou
IEEE International Conference on Intelligent Transportation Systems (ITSC 2022)
Paper
🏆 Awards
∙ (2019) China National Scholarship
∙ (2020) Polytechnic Youth Top Ten Students
∙ (2022) Honorable mention in HACKPKU 2022
∙ (2023) Third Prize of 2023 “Huawei Cup” National Graduate Student Mathematical Modeling Competition
📝 Academic Service
Reviewer:
∙ Journal Reviewer: IJCV, TIV
∙ Conference Reviewer: ITSC
📖 Teaching
∙ Teaching Assistant: ISE3111 Pattern Recognition & Machine Learning, SYSU, 2022 Fall
😻 My Hobbies
🏃♂️ 🏀 🏋 🎧 📷 …