Yixiao Ge

According to our database, Yixiao Ge authored at least 83 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Structured Domain Adaptation With Online Relation Regularization for Unsupervised Person Re-ID.

Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Xiaogang Wang, Hongsheng Li

IEEE Trans. Neural Networks Learn. Syst., January, 2024

A Geometric Perspective on Fusing Gaussian Distributions on Lie Groups.

Yixiao Ge, Pieter van Goor, Robert E. Mahony

CoRR, 2024

YOLO-World: Real-Time Open-Vocabulary Object Detection.

Tianheng Cheng, Lin Song, Yixiao Ge, Wenyu Liu, Xinggang Wang, Ying Shan

CoRR, 2024

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities.

Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue

CoRR, 2024

Supervised Fine-tuning in turn Improves Visual Foundation Models.

Xiaohu Jiang, Yixiao Ge, Yuying Ge, Chun Yuan, Ying Shan

CoRR, 2024

Towards A Better Metric for Text-to-Video Generation.

Jay Zhangjie Wu, Guian Fang, Haoning Wu, Xintao Wang, Yixiao Ge, Xiaodong Cun, David Junhao Zhang, Jia-Wei Liu, Yuchao Gu, Rui Zhao, Weisi Lin, Wynne Hsu, Ying Shan, Mike Zheng Shou

CoRR, 2024

LLaMA Pro: Progressive LLaMA with Block Expansion.

Chengyue Wu, Yukang Gan, Yixiao Ge, Zeyu Lu, Jiahao Wang, Ye Feng, Ping Luo, Ying Shan

CoRR, 2024

Cached Transformers: Improving Transformers with Differentiable Memory Cachde.

Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cached Transformers: Improving Transformers with Differentiable Memory Cache.

Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo

CoRR, 2023

VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation.

Jinguo Zhu, Xiaohan Ding, Yixiao Ge, Yuying Ge, Sijie Zhao, Hengshuang Zhao, Xiaohua Wang, Ying Shan

CoRR, 2023

SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models.

Yuzhou Huang, Liangbin Xie, Xintao Wang, Ziyang Yuan, Xiaodong Cun, Yixiao Ge, Jiantao Zhou, Chao Dong, Rui Huang, Ruimao Zhang, Ying Shan

CoRR, 2023

EgoPlan-Bench: Benchmarking Egocentric Embodied Planning with Multimodal Large Language Models.

Yi Chen, Yuying Ge, Yixiao Ge, Mingyu Ding, Bohao Li, Rui Wang, Ruifeng Xu, Ying Shan, Xihui Liu

CoRR, 2023

SEED-Bench-2: Benchmarking Multimodal Large Language Models.

Bohao Li, Yuying Ge, Yixiao Ge, Guangzhi Wang, Rui Wang, Ruimao Zhang, Ying Shan

CoRR, 2023

ViT-Lens-2: Gateway to Omni-modal Intelligence.

Weixian Lei, Yixiao Ge, Kun Yi, Jianfeng Zhang, Difei Gao, Dylan Sun, Yuying Ge, Ying Shan, Mike Zheng Shou

CoRR, 2023

UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition.

Xiaohan Ding, Yiyuan Zhang, Yixiao Ge, Sijie Zhao, Lin Song, Xiangyu Yue, Ying Shan

CoRR, 2023

Vision-Language Instruction Tuning: A Review and Analysis.

Chen Li, Yixiao Ge, Dian Li, Ying Shan

CoRR, 2023

Making LLaMA SEE and Draw with SEED Tokenizer.

Yuying Ge, Sijie Zhao, Ziyun Zeng, Yixiao Ge, Chen Li, Xintao Wang, Ying Shan

CoRR, 2023

One For All: Video Conversation is Feasible Without Video Instruction Tuning.

Ruyang Liu, Chen Li, Yixiao Ge, Ying Shan, Thomas H. Li, Ge Li

CoRR, 2023

Equivariant Symmetries for Inertial Navigation Systems.

Alessandro Fornasier, Yixiao Ge, Pieter van Goor, Robert E. Mahony, Stephan Weiss

CoRR, 2023

ViT-Lens: Towards Omni-modal Representations.

Weixian Lei, Yixiao Ge, Jianfeng Zhang, Dylan Sun, Kun Yi, Ying Shan, Mike Zheng Shou

CoRR, 2023

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Bohao Li, Rui Wang, Guangzhi Wang, Yuying Ge, Yixiao Ge, Ying Shan

CoRR, 2023

Planting a SEED of Vision in Large Language Model.

Yuying Ge, Yixiao Ge, Ziyun Zeng, Xintao Wang, Ying Shan

CoRR, 2023

DreamDiffusion: Generating High-Quality Images from Brain EEG Signals.

Yunpeng Bai, Xintao Wang, Yan-Pei Cao, Yixiao Ge, Chun Yuan, Ying Shan

CoRR, 2023

PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas.

Chen Li, Xutan Peng, Teng Wang, Yixiao Ge, Mengyang Liu, Xuyuan Xu, Yexin Wang, Ying Shan

CoRR, 2023

TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter.

Binjie Zhang, Yixiao Ge, Xuyuan Xu, Ying Shan, Mike Zheng Shou

CoRR, 2023

Sticker820K: Empowering Interactive Retrieval with Stickers.

Sijie Zhao, Yixiao Ge, Zhongang Qi, Lin Song, Xiaohan Ding, Zehua Xie, Ying Shan

CoRR, 2023

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou

CoRR, 2023

TVTSv2: Learning Out-of-the-box Spatiotemporal Visual Representations at Scale.

Ziyun Zeng, Yixiao Ge, Zhan Tong, Xihui Liu, Shu-Tao Xia, Ying Shan

CoRR, 2023

What Makes for Good Visual Tokenizers for Large Language Models?

Guangzhi Wang, Yixiao Ge, Xiaohan Ding, Mohan S. Kankanhalli, Ying Shan

CoRR, 2023

Attack is Good Augmentation: Towards Skeleton-Contrastive Representation Learning.

Binqian Xu, Xiangbo Shu, Rui Yan, Guo-Sen Xie, Yixiao Ge, Mike Zheng Shou

CoRR, 2023

TagGPT: Large Language Models are Zero-shot Multimodal Taggers.

Chen Li, Yixiao Ge, Jiayong Mao, Dian Li, Ying Shan

CoRR, 2023

Masked Visual Reconstruction in Language Semantic Space.

Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang

CoRR, 2023

Modeling Uncertain Feature Representation for Domain Generalization.

Xiaotong Li, Zixuan Hu, Jun Liu, Yixiao Ge, Yongxing Dai, Ling-Yu Duan

CoRR, 2023

GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction.

Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, Ying Shan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Meta-Adapter: An Online Few-shot Learner for Vision-Language Model.

Cheng Cheng, Lin Song, Ruoyi Xue, Hang Wang, Hongbin Sun, Yixiao Ge, Ying Shan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Binary Embedding-based Retrieval at Tencent.

Yukang Gan, Yixiao Ge, Chang Zhou, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation.

Chengyue Wu, Teng Wang, Yixiao Ge, Zeyu Lu, Ruisong Zhou, Ying Shan, Ping Luo

Proceedings of the International Conference on Machine Learning, 2023

Masked Image Modeling with Denoising Contrast.

Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BoxSnake: Polygonal Instance Segmentation with Box Supervision.

Rui Yang, Lin Song, Yixiao Ge, Xiu Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation.

Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploring Model Transferability through the Lens of Potential Energy.

Xiaotong Li, Zixuan Hu, Yixiao Ge, Ying Shan, Ling-Yu Duan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection.

Yuxin Fang, Shusheng Yang, Shijie Wang, Yixiao Ge, Ying Shan, Xinggang Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Transferable Spatiotemporal Representations from Natural Script Knowledge.

Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RILS: Masked Visual Reconstruction in Language Semantic Space.

Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Accelerating Vision-Language Pretraining with Free Language Modeling.

Teng Wang, Yixiao Ge, Feng Zheng, Ran Cheng, Ying Shan, Xiaohu Qie, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

All in One: Exploring Unified Video-Language Pre-Training.

Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Kevin Qinghong Lin, Satoshi Tsutsui, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Note on the Extended Kalman Filter on a Manifold.

Yixiao Ge, Pieter van Goor, Robert E. Mahony

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Darwinian Model Upgrades: Model Evolving with Selective Compatibility.

Binjie Zhang, Shupeng Su, Yixiao Ge, Xuyuan Xu, Yexin Wang, Chun Yuan, Mike Zheng Shou, Ying Shan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Video-Text Pre-training with Learned Regions for Retrieval.

Rui Yan, Mike Zheng Shou, Yixiao Ge, Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation.

Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

CoRR, 2022

Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis.

Yuchao Gu, Xintao Wang, Yixiao Ge, Ying Shan, Xiaohu Qie, Mike Zheng Shou

CoRR, 2022

Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image Retrieval.

Shupeng Su, Binjie Zhang, Yixiao Ge, Xuyuan Xu, Yexin Wang, Chun Yuan, Ying Shan

CoRR, 2022

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval.

Yuying Ge, Yixiao Ge, Xihui Liu, Alex Jinpeng Wang, Jianping Wu, Ying Shan, Xiaohu Qie, Ping Luo

CoRR, 2022

Revitalize Region Feature for Democratizing Video-Language Pre-training.

Guanyu Cai, Yixiao Ge, Alex Jinpeng Wang, Rui Yan, Xudong Lin, Ying Shan, Lianghua He, Xiaohu Qie, Jianping Wu, Mike Zheng Shou

CoRR, 2022

All in One: Exploring Unified Video-Language Pre-training.

Alex Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

CoRR, 2022

Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval.

Binjie Zhang, Yixiao Ge, Yantao Shen, Yu Li, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan

CoRR, 2022

BridgeFormer: Bridging Video-text Retrieval with Multiple Choice Questions.

Yuying Ge, Yixiao Ge, Xihui Liu, Dian Li, Ying Shan, Xiaohu Qie, Ping Luo

CoRR, 2022

Towards Universal Backward-Compatible Representation Learning.

Binjie Zhang, Yixiao Ge, Yantao Shen, Shupeng Su, Fanzi Wu, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval.

Binjie Zhang, Yixiao Ge, Yantao Shen, Yu Li, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Dynamic Token Normalization improves Vision Transformers.

Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo

Proceedings of the Tenth International Conference on Learning Representations, 2022

Uncertainty Modeling for Out-of-Distribution Generalization.

Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, Lingyu Duan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space.

Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo

Proceedings of the Computer Vision - ECCV 2022, 2022

mc-BEiT: Multi-choice Discretization for Image BERT Pre-training.

Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan

Proceedings of the Computer Vision - ECCV 2022, 2022

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval.

Yuying Ge, Yixiao Ge, Xihui Liu, Jinpeng Wang, Jianping Wu, Ying Shan, Xiaohu Qie, Ping Luo

Proceedings of the Computer Vision - ECCV 2022, 2022

Object-aware Video-language Pre-training for Retrieval.

Alex Jinpeng Wang, Yixiao Ge, Guanyu Cai, Rui Yan, Xudong Lin, Ying Shan, Xiaohu Qie, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bridging Video-text Retrieval with Multiple Choice Questions.

Yuying Ge, Yixiao Ge, Xihui Liu, Dian Li, Ying Shan, Xiaohu Qie, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Equivariant Filter Design for Discrete-time Systems.

Yixiao Ge, Pieter van Goor, Robert E. Mahony

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Dynamic Token Normalization Improves Vision Transformer.

Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo

CoRR, 2021

Video-Text Pre-training with Learned Regions.

Rui Yan, Mike Zheng Shou, Yixiao Ge, Alex Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang

CoRR, 2021

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification.

Yixiao Ge, Ching Lam Choi, Xiao Zhang, Peipei Zhao, Feng Zhu, Rui Zhao, Hongsheng Li

CoRR, 2021

Consensus-Guided Correspondence Denoising.

Chen Zhao, Yixiao Ge, Jiaqi Yang, Feng Zhu, Rui Zhao, Hongsheng Li

CoRR, 2021

Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification.

Yi Zheng, Shixiang Tang, Guolong Teng, Yixiao Ge, Kaijian Liu, Jing Qin, Donglian Qi, Dapeng Chen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Progressive Correspondence Pruning by Consensus Learning.

Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification.

Xiao Zhang, Yixiao Ge, Yu Qiao, Hongsheng Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Mutual CRF-GNN for Few-Shot Learning.

Shixiang Tang, Dapeng Chen, Lei Bai, Kaijian Liu, Yixiao Ge, Wanli Ouyang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network.

Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID.

Yixiao Ge, Shijie Yu, Dapeng Chen

CoRR, 2020

Structured Domain Adaptation for Unsupervised Person Re-identification.

Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li

CoRR, 2020

Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Hongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

Yixiao Ge, Dapeng Chen, Hongsheng Li

Proceedings of the 8th International Conference on Learning Representations, 2020

Self-supervising Fine-Grained Region Similarities for Large-Scale Image Localization.

Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.

Yixiao Ge, Zhuowan Li, Haiyu Zhao, Guojun Yin, Shuai Yi, Xiaogang Wang, Hongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018