Email: taoyang1122 at knights.ucf.edu
I am a fourth year PhD student in the Center for Research in Computer Vision (CRCV), University of Central Florida (UCF), advised by Prof. Chen Chen. I received my bachelor's degree from University of Science and Technology of China (USTC).
Links to: [Google Scholar] [GitHub]
Please visit my new personal website here. This website is no longer updated.
I am looking for full-time positions starting from Fall 2023.
I am interested in deep learning and computer vision. Recently, I focused on designing efficient deep neural networks, runtime adaptive networks and representation learning.
Applied Scientist Intern at AWS AI, Santa Clara, USA. May 2022 - Dec 2022
Host: Yi Zhu, Mu Li
Project: Adapting image model for video action recognition
Research Intern at Bytedance Inc., Mountain View, USA. May 2021 - Oct 2021
Host: Linjie Yang, Xiaojie Jin
Project: Efficient neural architecture search
[arXiv] Conquering the Communication Constraints to Enable Large Pre-Trained Models in Federated Learning [Paper]
Guangyu Sun, Matias, Mendieta, Taojiannan Yang, Chen Chen.[CVPR'23] FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER [Paper]
Ce Zheng, Matias, Mendieta, Taojiannan Yang, Guojun Qi, Chen Chen.[TPAMI] MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations [Paper] [Codes]
Taojiannan Yang, Sijie Zhu, Matias Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen ChenExtended version of ECCV'20. More experiments on 3D networks (SlowFast and X3D) and analyses.[TIP] Visual Explanation for Deep Metric Learning [Paper] [Codes]
Sijie Zhu, Taojiannan Yang, Chen Chen.[ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition [Paper] [Codes]
Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li[WACV'23] Revisiting Training-free NAS Metrics: An Efficient Training-based Method [Paper] [Codes]
Taojiannan Yang, Linjie Yang, Xiaojie Jin, Chen Chen.[CVPR'22 Best Paper Finalist] Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [Paper]
Matias Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen[ICCV'21] 3D Human Pose Estimation with Spatial and Temporal Transformers [Paper] [Codes]
Ce Zheng , Sijie Zhu , Matias Mendieta , Taojiannan Yang , Chen Chen , Zhengming Ding[CVPR'21] VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval [Paper] [Codes]
Sijie Zhu, Taojiannan Yang, Chen Chen.[WACV'21] Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection [Paper] [Codes]
Weiping Yu*, Taojiannan Yang*, Chen Chen.[NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks [Paper] [Codes]
Taojiannan Yang, Sijie Zhu, Chen Chen.[ECCV'20 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution [Paper] [Codes]
Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew Willis. (Acceptance Rate = 2% (104/5205))[CVPRW'20] Density Map Guided Object Detection in Aerial Images [Paper] [Codes]
Changlin Li, Taojiannan Yang, Sijie Zhu, Chen Chen, Shanyue Guan. CVPR Earthvision workshop 2020.