Yi Jiang

Waver: Wave Your Way to Lifelike Video Generation
Yifu Zhang, Hao Yang, Yuqi Zhang, Yifei Hu, Fengda Zhu, Chuang Lin, Xiaofeng Mei, Yi Jiang, Bingyue Peng, Zehuan Yuan
I lead the team in developing, and launching an industry-level video foundation model that enables unified Text-to-Video (T2V) and Image-to-Video (I2V) generation.
pdf  Project code

UniTok: A Unified Tokenizer for Visual Generation and Understanding
Chuofan Ma, Yi Jiang^†, Junfeng Wu, Jihan Yang, Xin Yu, Zehuan Yuan, Bingyue Peng, Xiaojuan Qi^†
Neural Information Processing Systems, NeurIPS 2025 Spotlight.
pdf  Project code

InfinityStar: Unified Spacetime AutoRegressive Modeling for Visual Generation
Jinlai Liu*, Jian Han*, Bin Yan*, Hui Wu, Fengda Zhu, Xing Wang, Yi Jiang, Bingyue Peng, Zehuan Yuan
Neural Information Processing Systems, NeurIPS 2025 Oral.
pdf  Project code

Liquid: Language Models are Scalable and Unified Multi-modal Generators
Junfeng Wu, Yi Jiang^†, Chuofan Ma, Yuliang Liu, Hengshuang Zhao, Zehuan Yuan, Song Bai, Xiang Bai
International Journal of Computer Vision, IJCV 2025
pdf  Project code

Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
Jian Han*, Jinlai Liu*, Yi Jiang*, Bin Yan, Yuqi Zhang, Zehuan Yuan, Bingyue Peng, Xiaobing Liu
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2025 Oral.
pdf  Project  code

Goku: Flow Based Video Generative Foundation Models
Shoufa Chen, Chongjian Ge, Yuqi Zhang, Yida Zhang, Fengda Zhu, Hao Yang, Hongxiang Hao, Hui Wu, Zhichao Lai, Yifei Hu, Ting-Che Lin, Shilong Zhang, Fu Li, Chuan Li, Xing Wang, Yanghua Peng, Peize Sun, Ping Luo, Yi Jiang, Zehuan Yuan, Bingyue Peng, Xiaobing Liu
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2025 Highlight.

TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation
Liao Qu*, Huichao Zhang*, Yiheng Liu, Xu Wang, Yi Jiang, Yiming Gao, Hu Ye, Daniel K. Du, Zehuan Yuan, Xinglong Wu
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2025
pdf  Project  code

Visual Autoegressive Modeling: Scalable Image Generation via Next-Scale Prediction
Keyu Tian, Yi Jiang^†, Zehuan Yuan, Bingyue Peng, Liwei Wang
Neural Information Processing Systems, NeurIPS 2024 Best Paper Award.
Visual AutoRegressive: a new visual generation Framework elevates GPT-style models beyond diffusion, indicate scaling law in image generation.
I spearheaded this initiative, overseeing the whole development of VAR, an entirely new image generation framework, from conceptualization to full implementation.
pdf  Project  Report  code

OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
Junke Wang, Yi Jiang^†, Zehuan Yuan, Bingyue Peng, Zuxuan Wu, Yu-Gang Jiang
Neural Information Processing Systems, NeurIPS 2024.
pdf  Project  code

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Peize Sun, Yi Jiang^†, Shoufa Chen, Shilong Zhang, Bingyue Peng, Ping Luo, Zehuan Yuan
arxiv.2406.06525, 2024
Vanilla autoregressive models achieve state-of-the-art image generation performance.
pdf  Project  code

Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Chuofan Ma, Yi Jiang^‡, Jiannan Wu, Zehuan Yuan, Xiaojuan Qi
European Conference on Computer Vision, ECCV 2024.
A Multimodal Large Language Model (MLLM) with grounded and fine-grained visual perception ability.
pdf  Project  code

General Object Foundation Model for Images and Videos at Scale
Junfeng Wu*, Yi Jiang*, Qihao Liu, Zehuan Yuan, Xiang Bai, Song Bai
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2024 Highlight.
An object-level foundation model for locating and identifying objects in images and videos.
pdf  Project  code

Generative Region-Language Pretraining for Open-Ended Object Detection
Chuang Lin, Yi Jiang^‡, Lizhen Qu, Zehuan Yuan, Jianfei Cai
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2024.
pdf  code

CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
Chuofan Ma, Yi Jiang^‡, Xin Wen, Zehuan Yuan, Xiaojuan Qi
Neural Information Processing Systems, NeurIPS 2023.
pdf  Project  code

UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces
Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo
arXiv:2312.15715, 2024. Extended version of ICCV 2023 UniRef
pdf  code

Segment every reference object in spatial and temporal spaces
Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo
International Conference on Computer Vision, ICCV 2023
pdf  code

EGC: Image Generation and Classification via a Diffusion Energy-Based Model
Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo
International Conference on Computer Vision, ICCV 2023
pdf  Project  code

UNINEXT : Universal Instance Perception as Object Discovery and Retrieval
Bin Yan, Yi Jiang^‡, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2023.
UNINEXT unifies 10 instance perception tasks and achieves state of the art performance using a single model with the same model parameters.
pdf  code

InstMove: Instance Motion for Object-centric Video Segmentation
Qihao Liu*, Junfeng Wu*, Yi Jiang, Xiang Bai, Alan Yuille, Song Bai
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2023.
pdf  code

Spark : Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Keyu Tian, Yi Jiang^‡, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan
International Conference on Learning Representations, ICLR 2023 Spotlight, [notable-top-25% of Accepted Papers].
Spark is the first successful BERT/MAE-style pretraining on any convolutional networks.
pdf  code

Learning Object-Language Alignments for Open-Vocabulary Object Detection
Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai
International Conference on Learning Representations, ICLR 2023
pdf  code

Rethinking Resolution in the Context of Efficient Video Recognition
Chuofan Ma, Qiushan Guo, Yi Jiang^‡, Zehuan Yuan, Ping Luo, Xiaojuan Qi
Neural Information Processing Systems, NeurIPS 2022.
pdf  code

Unicorn 🦄 : Towards Grand Unification of Object Tracking
Bin Yan, Yi Jiang^‡, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu
European Conference on Computer Vision, ECCV 2022 Oral, [Top 2.7%].
For the first time, we accomplish the great unification of various object tracking task with unify network architecture and learning paradigm.
pdf  code

In Defense of Online Models for Video Instance Segmentation
Junfeng Wu, QiHao Liu, Yi Jiang, Song Bai, Alan Yuille, Xiang Bai
European Conference on Computer Vision, ECCV 2022 Oral, [Top 2.7%].
pdf  code

SeqFormer: Sequential Transformer for Video Instance Segmentation
Junfeng Wu, Yi Jiang, Song Bai, Wenqing Zhang, Xiang Bai
European Conference on Computer Vision, ECCV 2022 Oral, [Top 2.7%].
pdf  code

Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation
Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan
European Conference on Computer Vision, ECCV 2022.
pdf  code

ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang
European Conference on Computer Vision, ECCV 2022.
ByteTrack ranks 1th of the most influential papers in ECCV 2022.
pdf  code

Language as Queries for Referring Video Object Segmentation
Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2022.
pdf  code

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2022.
pdf  code

MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
Qishuai Diao, Yi Jiang, Bin Wen, Jia Sun, Zehuan Yuan
arXiv:2203.02751, 2022
pdf  code

What Makes for End-to-End Object Detection?
Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo
International Conference on Machine Learning, ICML 2021
pdf  code

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Peize Sun*, Rufeng Zhang*, Yi Jiang*, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE transactions on pattern analysis and machine intelligence, T-PAMI 2023
Sparse R-CNN is integrated into several famous frameworks(Detectron2, MMDetection, PaddlePaddle)
pdf  code

TransTrack: Multiple Object Tracking with Transformer
Peize Sun, Jinkun Cao, Yi Jiang, Rufeng Zhang, Enze Xie, Zehuan Yuan, Changhu Wang, Ping Luo
arXiv:2012.15460, 2021.
pdf  code

Learning to Segment the Tail
Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020.
pdf  code

SimpleDet - A Simple and Versatile Framework for Object Detection and Instance Recognition
Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang
Journal of Machine Learning Research, JMLR 2019
pdf  code

NeurIPS 2024 Best Paper Award

Outstanding Staff Award, Bytedance 2020, 2024

Winner of CVPR 2022 Large-scale Video Object Segmentation Challenge: Video Instance Segmentation

Runner up of CVPR 2021 FGVC8 iNaturalist Challenge

Runner up of ICCV 2019 WIDER Face and Person Challenge: Face Detection

Competition Master in kaggle 2018