FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification. - Yixiao Ge; Zhuowan Li; Haiyu Zhao; Guojun Yin; Shuai Yi; Xiaogang Wang 001; Hongsheng Li 001 (NeurIPS, 2018)

Self-supervising Fine-Grained Region Similarities for Large-Scale Image Localization. - Yixiao Ge; Haibo Wang; Feng Zhu 006; Rui Zhao 001; Hongsheng Li 001 (ECCV (4), 2020)

Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification. - Yixiao Ge; Dapeng Chen; Hongsheng Li 001 (ICLR, 2020)

Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID. - Yixiao Ge; Feng Zhu 006; Dapeng Chen; Rui Zhao 001; Hongsheng Li 001 (NeurIPS, 2020)

Structured Domain Adaptation for Unsupervised Person Re-identification. - Yixiao Ge; Feng Zhu 006; Rui Zhao 001; Hongsheng Li 001 (CoRR, 2020)

Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID. - Yixiao Ge; Shijie Yu; Dapeng Chen (CoRR, 2020)

DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network. - Rui Liu 019; Yixiao Ge; Ching Lam Choi; Xiaogang Wang 001; Hongsheng Li 001 (CVPR, 2021)

Mutual CRF-GNN for Few-Shot Learning. - Shixiang Tang; Dapeng Chen; Lei Bai 001; Kaijian Liu; Yixiao Ge; Wanli Ouyang (CVPR, 2021)

Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification. - Xiao Zhang 024; Yixiao Ge; Yu Qiao 001; Hongsheng Li 001 (CVPR, 2021)

Progressive Correspondence Pruning by Consensus Learning. - Chen Zhao; Yixiao Ge; Feng Zhu 006; Rui Zhao 001; Hongsheng Li 001; Mathieu Salzmann (ICCV, 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 001; Donglian Qi; Dapeng Chen (ICCV, 2021)

Consensus-Guided Correspondence Denoising. - Chen Zhao; Yixiao Ge; Jiaqi Yang; Feng Zhu 006; Rui Zhao 001; Hongsheng Li 001 (CoRR, 2021)

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification. - Yixiao Ge; Ching Lam Choi; Xiao Zhang 024; Peipei Zhao; Feng Zhu 006; Rui Zhao 001; Hongsheng Li 001 (CoRR, 2021)

Video-Text Pre-training with Learned Regions. - Rui Yan 010; Mike Zheng Shou; Yixiao Ge; Alex Jinpeng Wang; Xudong Lin 003; Guanyu Cai; Jinhui Tang 001 (CoRR, 2021)

Dynamic Token Normalization Improves Vision Transformer. - Wenqi Shao; Yixiao Ge; Zhaoyang Zhang 004; Xuyuan Xu; Xiaogang Wang 001; Ying Shan; Ping Luo 002 (CoRR, 2021)

Equivariant Filter Design for Discrete-time Systems. - Yixiao Ge; Pieter van Goor; Robert E. Mahony (CDC, 2022)

Bridging Video-text Retrieval with Multiple Choice Questions. - Yuying Ge; Yixiao Ge; Xihui Liu; Dian Li; Ying Shan; Xiaohu Qie; Ping Luo 002 (CVPR, 2022)

Object-aware Video-language Pre-training for Retrieval. - Alex Jinpeng Wang; Yixiao Ge; Guanyu Cai; Rui Yan 001; Xudong Lin 003; Ying Shan; Xiaohu Qie; Mike Zheng Shou (CVPR, 2022)

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval. - Yuying Ge; Yixiao Ge; Xihui Liu; Jinpeng Wang 001; Jianping Wu; Ying Shan; Xiaohu Qie; Ping Luo 002 (ECCV (35), 2022)

mc-BEiT: Multi-choice Discretization for Image BERT Pre-training. - Xiaotong Li; Yixiao Ge; Kun Yi; Zixuan Hu; Ying Shan; Ling-Yu Duan (ECCV (30), 2022)

Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space. - Wenqi Shao; Xun Zhao; Yixiao Ge; Zhaoyang Zhang 004; Lei Yang 059; Xiaogang Wang 001; Ying Shan; Ping Luo 002 (ECCV (34), 2022)

Uncertainty Modeling for Out-of-Distribution Generalization. - Xiaotong Li; Yongxing Dai; Yixiao Ge; Jun Liu 036; Ying Shan; Lingyu Duan (ICLR, 2022)

Dynamic Token Normalization improves Vision Transformers. - Wenqi Shao; Yixiao Ge; Zhaoyang Zhang 004; Xuyuan Xu; Xiaogang Wang 001; Ying Shan; Ping Luo 002 (ICLR, 2022)

Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval. - Binjie Zhang; Yixiao Ge; Yantao Shen 003; Yu Li 003; Chun Yuan; Xuyuan Xu; Yexin Wang; Ying Shan (ICLR, 2022)

Towards Universal Backward-Compatible Representation Learning. - Binjie Zhang; Yixiao Ge; Yantao Shen 003; Shupeng Su; Fanzi Wu; Chun Yuan; Xuyuan Xu; Yexin Wang; Ying Shan (IJCAI, 2022)

BridgeFormer: Bridging Video-text Retrieval with Multiple Choice Questions. - Yuying Ge; Yixiao Ge; Xihui Liu; Dian Li; Ying Shan; Xiaohu Qie; Ping Luo 002 (CoRR, 2022)

Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval. - Binjie Zhang; Yixiao Ge; Yantao Shen 003; Yu Li 003; Chun Yuan; Xuyuan Xu; Yexin Wang; Ying Shan (CoRR, 2022)

All in One: Exploring Unified Video-Language Pre-training. - Alex Jinpeng Wang; Yixiao Ge; Rui Yan 001; Yuying Ge; Xudong Lin 003; Guanyu Cai; Jianping Wu; Ying Shan; Xiaohu Qie; Mike Zheng Shou (CoRR, 2022)

Revitalize Region Feature for Democratizing Video-Language Pre-training. - Guanyu Cai; Yixiao Ge; Alex Jinpeng Wang; Rui Yan 001; Xudong Lin 003; Ying Shan; Lianghua He; Xiaohu Qie; Jianping Wu; Mike Zheng Shou (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 002 (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)

Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis. - Yuchao Gu; Xintao Wang 002; Yixiao Ge; Ying Shan; Xiaohu Qie; Mike Zheng Shou (CoRR, 2022)

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation. - Jay Zhangjie Wu; Yixiao Ge; Xintao Wang 002; Weixian Lei; Yuchao Gu; Wynne Hsu; Ying Shan; Xiaohu Qie; Mike Zheng Shou (CoRR, 2022)

Video-Text Pre-training with Learned Regions for Retrieval. - Rui Yan 010; Mike Zheng Shou; Yixiao Ge; Jinpeng Wang 001; Xudong Lin 003; Guanyu Cai; Jinhui Tang 001 (AAAI, 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 (AAAI, 2023)

A Note on the Extended Kalman Filter on a Manifold. - Yixiao Ge; Pieter van Goor; Robert E. Mahony (CDC, 2023)

All in One: Exploring Unified Video-Language Pre-Training. - Jinpeng Wang 001; Yixiao Ge; Rui Yan 001; Yuying Ge; Kevin Qinghong Lin; Satoshi Tsutsui; Xudong Lin 003; Guanyu Cai; Jianping Wu; Ying Shan; Xiaohu Qie; Mike Zheng Shou (CVPR, 2023)

Accelerating Vision-Language Pretraining with Free Language Modeling. - Teng Wang; Yixiao Ge; Feng Zheng; Ran Cheng; Ying Shan; Xiaohu Qie; Ping Luo 002 (CVPR, 2023)

RILS: Masked Visual Reconstruction in Language Semantic Space. - Shusheng Yang; Yixiao Ge; Kun Yi; Dian Li; Ying Shan; Xiaohu Qie; Xinggang Wang (CVPR, 2023)

Learning Transferable Spatiotemporal Representations from Natural Script Knowledge. - Ziyun Zeng; Yuying Ge; Xihui Liu; Bin Chen 011; Ping Luo 002; Shu-Tao Xia; Yixiao Ge (CVPR, 2023)

Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection. - Yuxin Fang; Shusheng Yang; Shijie Wang 007; Yixiao Ge; Ying Shan; Xinggang Wang (ICCV, 2023)

Exploring Model Transferability through the Lens of Potential Energy. - Xiaotong Li; Zixuan Hu; Yixiao Ge; Ying Shan; Ling-Yu Duan (ICCV, 2023)

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation. - Jay Zhangjie Wu; Yixiao Ge; Xintao Wang 002; Stan Weixian Lei; Yuchao Gu; Yufei Shi 003; Wynne Hsu; Ying Shan; Xiaohu Qie; Mike Zheng Shou (ICCV, 2023)

BoxSnake: Polygonal Instance Segmentation with Box Supervision. - Rui Yang 010; Lin Song 002; Yixiao Ge; Xiu Li 001 (ICCV, 2023)

Masked Image Modeling with Denoising Contrast. - Kun Yi; Yixiao Ge; Xiaotong Li; Shusheng Yang; Dian Li; Jianping Wu; Ying Shan; Xiaohu Qie (ICLR, 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 002 (ICML, 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 (KDD, 2023)

Meta-Adapter: An Online Few-shot Learner for Vision-Language Model. - Cheng Cheng; Lin Song 002; Ruoyi Xue; Hang Wang; Hongbin Sun 001; Yixiao Ge; Ying Shan (NeurIPS, 2023)

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models. - Yuchao Gu; Xintao Wang 002; Jay Zhangjie Wu; Yujun Shi; Yunpeng Chen; Zihan Fan; Wuyou Xiao; Rui Zhao 001; Shuning Chang; Weijia Wu 001; Yixiao Ge; Ying Shan; et al. (NeurIPS, 2023)

GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction. - Rui Yang 010; Lin Song 002; Yanwei Li; Sijie Zhao; Yixiao Ge; Xiu Li 001; Ying Shan (NeurIPS, 2023)

Modeling Uncertain Feature Representation for Domain Generalization. - Xiaotong Li; Zixuan Hu; Jun Liu 036; Yixiao Ge; Yongxing Dai; Ling-Yu Duan (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)

TagGPT: Large Language Models are Zero-shot Multimodal Taggers. - Chen Li 046; Yixiao Ge; Jiayong Mao; Dian Li; Ying Shan (CoRR, 2023)

Attack is Good Augmentation: Towards Skeleton-Contrastive Representation Learning. - Binqian Xu; Xiangbo Shu; Rui Yan 010; Guo-Sen Xie; Yixiao Ge; Mike Zheng Shou (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)

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)

Sticker820K: Empowering Interactive Retrieval with Stickers. - Sijie Zhao; Yixiao Ge; Zhongang Qi; Lin Song 002; Xiaohan Ding; Zehua Xie; 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)

PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas. - Chen Li 046; Xutan Peng; Teng Wang; Yixiao Ge; Mengyang Liu; Xuyuan Xu; Yexin Wang; Ying Shan (CoRR, 2023)

DreamDiffusion: Generating High-Quality Images from Brain EEG Signals. - Yunpeng Bai; Xintao Wang 002; Yan-Pei Cao; Yixiao Ge; Chun Yuan; Ying Shan (CoRR, 2023)

Planting a SEED of Vision in Large Language Model. - Yuying Ge; Yixiao Ge; Ziyun Zeng; Xintao Wang 002; Ying Shan (CoRR, 2023)

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension. - Bohao Li 002; Rui Wang 092; Guangzhi Wang; Yuying Ge; Yixiao Ge; Ying Shan (CoRR, 2023)

ViT-Lens: Towards Omni-modal Representations. - Weixian Lei; Yixiao Ge; Jianfeng Zhang; Dylan Sun 001; Kun Yi; Ying Shan; Mike Zheng Shou (CoRR, 2023)

Equivariant Symmetries for Inertial Navigation Systems. - Alessandro Fornasier; Yixiao Ge; Pieter van Goor; Robert E. Mahony; Stephan Weiss 002 (CoRR, 2023)

One For All: Video Conversation is Feasible Without Video Instruction Tuning. - Ruyang Liu; Chen Li 046; Yixiao Ge; Ying Shan; Thomas H. Li; Ge Li 002 (CoRR, 2023)

ViT-Lens-2: Gateway to Omni-modal Intelligence. - Weixian Lei; Yixiao Ge; Kun Yi; Jianfeng Zhang; Difei Gao; Dylan Sun 001; Yuying Ge; Ying Shan; Mike Zheng Shou (CoRR, 2023)

SEED-Bench-2: Benchmarking Multimodal Large Language Models. - Bohao Li 002; Yuying Ge; Yixiao Ge; Guangzhi Wang; Rui Wang 092; Ruimao Zhang; Ying Shan (CoRR, 2023)

EgoPlan-Bench: Benchmarking Egocentric Embodied Planning with Multimodal Large Language Models. - Yi Chen 019; Yuying Ge; Yixiao Ge; Mingyu Ding; Bohao Li 002; Rui Wang 092; Ruifeng Xu 001; Ying Shan; Xihui Liu (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)

Cached Transformers: Improving Transformers with Differentiable Memory Cache. - Zhaoyang Zhang 004; Wenqi Shao; Yixiao Ge; Xiaogang Wang 001; Jinwei Gu; Ping Luo 002 (CoRR, 2023)

Cached Transformers: Improving Transformers with Differentiable Memory Cachde. - Zhaoyang Zhang 004; Wenqi Shao; Yixiao Ge; Xiaogang Wang 001; Jinwei Gu; Ping Luo 002 (AAAI, 2024)

LLaMA Pro: Progressive LLaMA with Block Expansion. - Chengyue Wu; Yukang Gan; Yixiao Ge; Zeyu Lu; Jiahao Wang; Ye Feng; Ying Shan; Ping Luo 002 (ACL (1), 2024)

YOLO-World: Real-Time Open-Vocabulary Object Detection. - Tianheng Cheng; Lin Song 002; Yixiao Ge; Wenyu Liu 001; Xinggang Wang; Ying Shan (CVPR, 2024)

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 002; Xiangyu Yue 001; Ying Shan (CVPR, 2024)

Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis. - Yuchao Gu; Xintao Wang 002; Yixiao Ge; Ying Shan; Mike Zheng Shou (CVPR, 2024)

SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models. - Yuzhou Huang; Liangbin Xie; Xintao Wang 002; Ziyang Yuan; Xiaodong Cun; Yixiao Ge; Jiantao Zhou 001; Chao Dong 005; Rui Huang; Ruimao Zhang; Ying Shan (CVPR, 2024)

VIT-LENS: Towards Omni-modal Representations. - Weixian Lei; Yixiao Ge; Kun Yi; Jianfeng Zhang; Difei Gao; Dylan Sun 001; Yuying Ge; Ying Shan; Mike Zheng Shou (CVPR, 2024)

SEED-Bench: Benchmarking Multimodal Large Language Models. - Bohao Li 002; Yuying Ge; Yixiao Ge; Guangzhi Wang; Rui Wang 092; Ruimao Zhang; Ying Shan (CVPR, 2024)

BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning. - Ruyang Liu; Chen Li 046; Yixiao Ge; Thomas H. Li; Ying Shan; Ge Li 002 (CVPR, 2024)

Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs. - Lin Song 002; Yukang Chen; Shuai Yang; Xiaohan Ding; Yixiao Ge; Ying-Cong Chen; Ying Shan (CVPR, 2024)

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. - Yiyuan Zhang; Xiaohan Ding; Kaixiong Gong; Yixiao Ge; Ying Shan; Xiangyu Yue 001 (CVPR, 2024)

DreamDiffusion: High-Quality EEG-to-Image Generation with Temporal Masked Signal Modeling and CLIP Alignment. - Yunpeng Bai; Xintao Wang 002; Yan-Pei Cao; Yixiao Ge; Chun Yuan; Ying Shan (ECCV (31), 2024)

ST-LLM: Large Language Models Are Effective Temporal Learners. - Ruyang Liu; Chen Li 046; Haoran Tang; Yixiao Ge; Ying Shan; Ge Li 002 (ECCV (57), 2024)

Making LLaMA SEE and Draw with SEED Tokenizer. - Yuying Ge; Sijie Zhao; Ziyun Zeng; Yixiao Ge; Chen Li 046; Xintao Wang 002; Ying Shan (ICLR, 2024)

An Equivariant Approach to Robust State Estimation for the ArduPilot Autopilot System. - Alessandro Fornasier; Yixiao Ge; Pieter van Goor; Martin Scheiber; Andrew Tridgell; Robert E. Mahony; Stephan Weiss 002 (ICRA, 2024)

MambaTree: Tree Topology is All You Need in State Space Model. - Yicheng Xiao; Lin Song 002; Shaoli Huang; Jiangshan Wang; Siyu Song; Yixiao Ge; Xiu Li 001; Ying Shan (NeurIPS, 2024)

Towards A Better Metric for Text-to-Video Generation. - Jay Zhangjie Wu; Guian Fang; Haoning Wu 001; Xintao Wang 002; Yixiao Ge; Xiaodong Cun; David Junhao Zhang; Jia-Wei Liu; Yuchao Gu; Rui Zhao 001; Weisi Lin; Wynne Hsu; et al. (CoRR, 2024)

Supervised Fine-tuning in turn Improves Visual Foundation Models. - Xiaohu Jiang; Yixiao Ge; Yuying Ge; Chun Yuan; Ying Shan (CoRR, 2024)

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation. - Yuying Ge; Sijie Zhao; Jinguo Zhu; Yixiao Ge; Kun Yi; Lin Song 002; Chen Li 046; Xiaohan Ding; Ying Shan (CoRR, 2024)

SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension. - Bohao Li 002; Yuying Ge; Yi Chen 019; Yixiao Ge; Ruimao Zhang; Ying Shan (CoRR, 2024)

SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing. - Yuying Ge; Sijie Zhao; Chen Li 046; Yixiao Ge; Ying Shan (CoRR, 2024)

GrootVL: Tree Topology is All You Need in State Space Model. - Yicheng Xiao; Lin Song 002; Shaoli Huang; Jiangshan Wang; Siyu Song; Yixiao Ge; Xiu Li 001; Ying Shan (CoRR, 2024)

VoCo-LLaMA: Towards Vision Compression with Large Language Models. - Xubing Ye; Yukang Gan; Xiaoke Huang; Yixiao Ge; Ying Shan; Yansong Tang (CoRR, 2024)

SEED-Story: Multimodal Long Story Generation with Large Language Model. - Shuai Yang; Yuying Ge; Yang Li; Yukang Chen; Yixiao Ge; Ying Shan; Yingcong Chen (CoRR, 2024)

Geometric Data Fusion for Collaborative Attitude Estimation. - Yixiao Ge; Behzad Zamani; Pieter van Goor; Jochen Trumpf; Robert E. Mahony (CoRR, 2024)

Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation. - Zhuoyan Luo; Fengyuan Shi 001; Yixiao Ge; Yujiu Yang; Limin Wang 002; Ying Shan (CoRR, 2024)

PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance. - Ruyang Liu; Haoran Tang; Haibo Liu; Yixiao Ge; Ying Shan; Chen Li 046; Jiankun Yang (CoRR, 2024)

Taming Scalable Visual Tokenizer for Autoregressive Image Generation. - Fengyuan Shi 001; Zhuoyan Luo; Yixiao Ge; Yujiu Yang; Ying Shan; Limin Wang 002 (CoRR, 2024)

Moto: Latent Motion Token as the Bridging Language for Robot Manipulation. - Yi Chen 019; Yuying Ge; Yizhuo Li 001; Yixiao Ge; Mingyu Ding; Ying Shan; Xihui Liu (CoRR, 2024)

DiCoDe: Diffusion-Compressed Deep Tokens for Autoregressive Video Generation with Language Models. - Yizhuo Li 001; Yuying Ge; Yixiao Ge; Ping Luo 002; Ying Shan (CoRR, 2024)

EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios. - Lu Qiu; Yuying Ge; Yi Chen 019; Yixiao Ge; Ying Shan; Xihui Liu (CoRR, 2024)

A Geometric Perspective on Fusing Gaussian Distributions on Lie Groups. - Yixiao Ge; Pieter van Goor; Robert E. Mahony (IEEE Control. Syst. Lett., 2024)

Vision-Language Instruction Tuning: A Review and Analysis. - Chen Li 046; Yixiao Ge; Dian Li; Ying Shan (Trans. Mach. Learn. Res., 2024)

Structured Domain Adaptation With Online Relation Regularization for Unsupervised Person Re-ID. - Yixiao Ge; Feng Zhu 006; Dapeng Chen; Rui Zhao 001; Xiaogang Wang 001; Hongsheng Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation. - Yuying Ge; Yizhuo Li 001; Yixiao Ge; Ying Shan (CVPR, 2025)

ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models. - Xubing Ye; Yukang Gan; Yixiao Ge; Xiao-Ping Zhang 002; Yansong Tang (CVPR, 2025)

VoCo-LLaMA: Towards Vision Compression with Large Language Models. - Xubing Ye; Yukang Gan; Xiaoke Huang; Yixiao Ge; Yansong Tang (CVPR, 2025)

Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots. - Chengyue Wu; Zhixuan Liang; Yixiao Ge; Qiushan Guo; Zeyu Lu; Jiahao Wang; Ying Shan; Ping Luo 002 (NAACL (Findings), 2025)

Equivariant Filter Design for Range-only SLAM. - Yixiao Ge; Arthur Pearce; Pieter van Goor; Robert E. Mahony (CoRR, 2025)

HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding. - Rui Yan 001; Lin Song 002; Yicheng Xiao; Runhui Huang; Yixiao Ge; Ying Shan; Hengshuang Zhao (CoRR, 2025)

GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers. - Shijie Ma; Yuying Ge; Teng Wang; Yuxin Guo; Yixiao Ge; Ying Shan (CoRR, 2025)

Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1. - Yi Chen 019; Yuying Ge; Rui Wang 092; Yixiao Ge; Lu Qiu; Ying Shan; Xihui Liu (CoRR, 2025)

AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction. - Junhao Cheng; Yuying Ge; Yixiao Ge; Jing Liao 001; Ying Shan (CoRR, 2025)

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation. - Haokun Lin; Teng Wang; Yixiao Ge; Yuying Ge; Zhichao Lu; Ying Wei 001; Qingfu Zhang 001; Zhenan Sun; Ying Shan (CoRR, 2025)

Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? - Junhao Cheng; Yuying Ge; Teng Wang; Yixiao Ge; Jing Liao 001; Ying Shan (CoRR, 2025)

HaploOmni: Unified Single Transformer for Multimodal Video Understanding and Generation. - Yicheng Xiao; Lin Song 002; Rui Yang 010; Cheng Cheng; Zunnan Xu; Zhaoyang Zhang 004; Yixiao Ge; Xiu Li 001; Ying Shan (CoRR, 2025)

AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation. - Lu Qiu; Yizhuo Li 001; Yuying Ge; Yixiao Ge; Ying Shan; Xihui Liu (CoRR, 2025)

Aligning Latent Spaces with Flow Priors. - Yizhuo Li 001; Yuying Ge; Yixiao Ge; Ying Shan; Ping Luo 002 (CoRR, 2025)

The Geometry of Extended Kalman Filters on Manifolds with Affine Connection. - Yixiao Ge; Pieter van Goor; Robert E. Mahony (CoRR, 2025)

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation. - Yicheng Xiao; Lin Song 002; Rui Yan 001; Cheng Cheng; Yixiao Ge; Xiu Li 001; Ying Shan (CoRR, 2025)

GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning. - Yi Chen 019; Yuying Ge; Rui Wang 092; Yixiao Ge; Junhao Cheng; Ying Shan; Xihui Liu (CoRR, 2025)

The Difference between the Left and Right Invariant Extended Kalman Filter. - Yixiao Ge; Giulio Delama; Martin Scheiber; Alessandro Fornasier; Pieter van Goor; Stephan Weiss 002; Robert E. Mahony (CoRR, 2025)

ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts. - Yuying Ge; Yixiao Ge; Chen Li 046; Teng Wang; Junfu Pu; Yizhuo Li 001; Lu Qiu; Jin Ma 003; Lisheng Duan; Xinyu Zuo; Jinwen Luo; Weibo Gu; et al. (CoRR, 2025)