Yunjie Tian  

Postdoctoral Associate

Room 301B, Davis Hall
Department of Computer Science and Engineering
University at Buffalo, SUNY
Buffalo, New York, USA, 14260

Email: yunjieti@buffalo.edu;
Google scholar: https://scholar.google.com

Biography

I am currently a postdoctoral associate at the University at Buffalo, working with Prof. David Doermann.

In 2024, I got a Ph.D. at 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. in Jilin University, Changchun in 2019.

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

Publications

Yunjie Tian, Qixiang Ye, David Doermann
YOLOv12: Attention-Centric Real-Time Object Detectors
[Paper] [Code]
Xi Tang, Jihao Qiu, Lingxi Xie, Yunjie Tian, Jianbin Jiao, Qixiang Ye
Adaptive Keyframe Sampling for Long Video Understanding
CVPR, 2025
[Paper] [Code]
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
CVPR, 2025
[Paper] [Code]
Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Qixiang Ye
ClawMachine: Fetching Visual Tokens as An Entity for Referring and Grounding
ICLR, 2025
[Paper] [Code]
Yunjie Tian, Tianren Ma, Lingxi Xie, Qixiang Ye
ChatterBox: Multi-round Multimidal Referring and Grounding
AAAI, 2025
[Paper] [Code]
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
Pattern Recognition, 2025
[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 (2.4k stars)]
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]
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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