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
arXiv:2508.15761, 2025.
I lead the team developing and launching Waver, a foundation model for text-to-image (T2I), text-to-video (T2V), and image-to-video (I2V) generation.
PDF  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^†
Advances in Neural Information Processing Systems (NeurIPS), 2025 Spotlight.
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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
Advances in Neural Information Processing Systems (NeurIPS), 2025 Oral.
PDF  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.
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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.
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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.
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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.
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Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
Keyu Tian, Yi Jiang^†, Zehuan Yuan, Bingyue Peng, Liwei Wang
Advances in Neural Information Processing Systems (NeurIPS), 2024. Best Paper Award.
VAR uses next-scale prediction for image generation, demonstrates scaling laws, and outperforms diffusion transformers on the ImageNet benchmarks
I led the development of VAR from initial concept to implementation.
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OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
Junke Wang, Yi Jiang^†, Zehuan Yuan, Bingyue Peng, Zuxuan Wu, Yu-Gang Jiang
Advances in Neural Information Processing Systems (NeurIPS), 2024.
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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.
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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, fine-grained visual perception capabilities.
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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.
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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
Advances in Neural Information Processing Systems (NeurIPS), 2023.
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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, 2023. Extended version of UniRef (ICCV 2023).
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.
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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 in a single model with shared parameters.
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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 (top 25% of accepted papers).
SparK extends BERT/MAE-style masked pretraining to 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
Advances in 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%).
Unicorn unifies multiple object tracking tasks with a shared 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 ranked 1st among ECCV 2022 papers in Paper Digest's influence ranking.
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 (TPAMI), 2023.
Sparse R-CNN has implementations in widely used frameworks, including Detectron2, MMDetection, and 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, 2020 (revised 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 Distributed Framework for Object Detection and Instance Recognition
Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang, Zhaoxiang Zhang
Journal of Machine Learning Research (JMLR), 2019.
PDF  Code

NeurIPS 2024 Best Paper Award

Outstanding Staff Award, ByteDance, 2020 and 2024

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

Runner-up in CVPR 2021 FGVC8 iNaturalist Challenge

Runner-up in ICCV 2019 WIDER Face and Person Challenge: Face Detection

Kaggle Competitions Master, 2018