Yunjie Tian  

Ph.D. candidate

Room 330, Academy 2 Building
School of Electronic, Electrical and Communication Engineering
University of Chinese Academy of Sciences
Beijing, China, 101408.

Email: tianyunjie19@mails.ucas.ac.cn;
Github: https://github.com/sunsmarterjie;
Google scholar: https://scholar.google.com

Biography

I am a Ph.D. candidate of LAMP in the School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences , advised by Prof. Qixiang Ye. I got a B.E. degree in Jilin University, Changchun in 2019.

I collaborate closely with Dr. Lingxi Xie.

My research interests include computer vision and deep learning, specifically for representation learning and multimodal learning.

Publications

Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David Doermann, Qixiang Ye, Yunjie Tian
Artemis: Towards Referential Understanding in Complex Videos
NeurIPS, 2024
[Paper] [Code]
Zhaozhi Wang, Yue Liu, Yunfan Liu, Hongtian Yu, Yaowei Wang, Qixiang Ye, Yunjie Tian
vHeat: Building Vision Models upon Heat Conduction
[Paper] [Code]
Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Yuan Zhang, David Doermann, Qixiang Ye
ClawMachine: Fetching Visual Tokens as An Entity for Referring and Grounding
[Paper] [Code]
Yunjie Tian, Tianren Ma, Lingxi Xie, Jihao Qiu, Xi Tang, Yuan Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye
ChatterBox: Multi-round Multimidal Referring and Grounding
[Paper] [Code]
Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu, Lingxi Xie, Yaowei Wang, Qixiang Ye, Yunfan Liu
VMamba: Visual State Space Model
NeurIPS, 2024
[Paper] [Code]
Yunjie Tian, Lingxi Xie, Jihao Qiu, Jianbin Jiao, Qi Tian, Qixiang Ye
Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token Migration
TPAMI, 2024
[Paper] [Code]
Yunjie Tian, Lingxi Xie, Jiemin Fang, Jianbin Jiao, Qixiang Ye, Qi Tian
Exploring Complicated Search Spaces with Interleaving-Free Sampling
TNNLS, 2024
[Paper]
*Hongtian Yu, *Yunjie Tian, Qixiang Ye, Yunfan Liu
Spatial Transform Decoupling for Oriented Object Detection
AAAI, 2024
[Paper] [Code]
Yunjie Tian, Lingxi Xie, Zhaozhi Wang, Longhui Wei, Xiaopeng Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye
Integragrally Pre-Trained Transformer Pyramid Networks
CVPR, 2023
[Paper] [Pre.] [Code]
*Xiaosong Zhang, *Yunjie Tian, Lingxi Xie, Wei Huang, Qi Dai, Qixiang Ye, Qi Tian
HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer
ICLR, 2023
[Paper] [Code] [arXiv preprint]
Yunjie Tian, Lingxi Xie, Mengnan Shi, Jiemin Fang, Xiaopeng Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
[Paper] [Code]
Weixi Zhao, Weiqiang Wang, Yunjie Tian
GraFormer: Graph-Oriented Transformer for 3D Pose Estimation
CVPR, 2022
[Paper] [Code]
Yunjie Tian, Chang Liu, Lingxie Xie, Qixiang Ye
Discretization-Aware Architecture Search
Pattern Recognition, 2021
[Paper] [Code]
Yunjie Tian, Lingxi Xie, Xiaopeng Zhang, Jiemin Fang, Haohang Xu, Wei Huang, Jianbin Jiao, Qi Tian, Qixiang Ye
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
[Paper] [Code]
*Chang Liu, *Yunjie Tian, Zhiwen Chen, Jianbin Jiao, Qixiang Ye
Adaptive Linear Span Network for Object Skeleton Detection
TIP, 2021
[arXiv preprint] [Code]


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