Multifeature-Based High-Resolution Palmprint Recognition. - Jifeng Dai; Jie Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Mining sub-categories for object detection. - Jifeng Dai; Jianjiang Feng; Jie Zhou 001 (ICPR, 2012)

Robust and Efficient Ridge-Based Palmprint Matching. - Jifeng Dai; Jianjiang Feng; Jie Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Cosegmentation and Cosketch by Unsupervised Learning. - Jifeng Dai; Ying Nian Wu; Jie Zhou 001; Song-Chun Zhu (ICCV, 2013)

Unsupervised Learning of Dictionaries of Hierarchical Compositional Models. - Jifeng Dai; Yi Hong; Wenze Hu; Song-Chun Zhu; Ying Nian Wu (CVPR, 2014)

Convolutional feature masking for joint object and stuff segmentation. - Jifeng Dai; Kaiming He; Jian Sun 001 (CVPR, 2015)

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation. - Jifeng Dai; Kaiming He; Jian Sun 001 (ICCV, 2015)

Generative Modeling of Convolutional Neural Networks. - Jifeng Dai; Ying Nian Wu (ICLR (Poster), 2015)

Instance-Aware Semantic Segmentation via Multi-task Network Cascades. - Jifeng Dai; Kaiming He; Jian Sun 001 (CVPR, 2016)

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation. - Di Lin 002; Jifeng Dai; Jiaya Jia; Kaiming He; Jian Sun 001 (CVPR, 2016)

Instance-Sensitive Fully Convolutional Networks. - Jifeng Dai; Kaiming He; Yi Li 038; Shaoqing Ren; Jian Sun 001 (ECCV (6), 2016)

R-FCN: Object Detection via Region-based Fully Convolutional Networks. - Jifeng Dai; Yi Li 038; Kaiming He; Jian Sun 001 (NIPS, 2016)

Fully Convolutional Instance-Aware Semantic Segmentation. - Yi Li 038; Haozhi Qi; Jifeng Dai; Xiangyang Ji; Yichen Wei (CVPR, 2017)

Deep Feature Flow for Video Recognition. - Xizhou Zhu; Yuwen Xiong; Jifeng Dai; Lu Yuan; Yichen Wei (CVPR, 2017)

Deformable Convolutional Networks. - Jifeng Dai; Haozhi Qi; Yuwen Xiong; Yi Li 038; Guodong Zhang; Han Hu 001; Yichen Wei (ICCV, 2017)

Flow-Guided Feature Aggregation for Video Object Detection. - Xizhou Zhu; Yujie Wang; Jifeng Dai; Lu Yuan; Yichen Wei (ICCV, 2017)

Relation Networks for Object Detection. - Han Hu 001; Jiayuan Gu; Zheng Zhang 022; Jifeng Dai; Yichen Wei (CVPR, 2018)

Towards High Performance Video Object Detection. - Xizhou Zhu; Jifeng Dai; Lu Yuan; Yichen Wei (CVPR, 2018)

Learning Region Features for Object Detection. - Jiayuan Gu; Han Hu 001; Liwei Wang 001; Yichen Wei; Jifeng Dai (ECCV (12), 2018)

Towards High Performance Video Object Detection for Mobiles. - Xizhou Zhu; Jifeng Dai; Xingchi Zhu; Yichen Wei; Lu Yuan (CoRR, 2018)

Integrated Object Detection and Tracking with Tracklet-Conditioned Detection. - Zheng Zhang 022; Dazhi Cheng; Xizhou Zhu; Stephen Lin 001; Jifeng Dai (CoRR, 2018)

Deformable ConvNets V2: More Deformable, Better Results. - Xizhou Zhu; Han Hu 001; Stephen Lin 001; Jifeng Dai (CVPR, 2019)

An Empirical Study of Spatial Attention Mechanisms in Deep Networks. - Xizhou Zhu; Dazhi Cheng; Zheng Zhang 022; Stephen Lin 001; Jifeng Dai (ICCV, 2019)

MMDetection: Open MMLab Detection Toolbox and Benchmark. - Kai Chen 026; Jiaqi Wang 003; Jiangmiao Pang; Yuhang Cao; Yu Xiong; Xiaoxiao Li; Shuyang Sun; Wansen Feng; Ziwei Liu 002; Jiarui Xu; Zheng Zhang 023; Dazhi Cheng; et al. (CoRR, 2019)

Hierarchical Human Parsing With Typed Part-Relation Reasoning. - Wenguan Wang; Hailong Zhu; Jifeng Dai; Yanwei Pang; Jianbing Shen; Ling Shao 001 (CVPR, 2020)

Resolution Adaptive Networks for Efficient Inference. - Le Yang 007; Yizeng Han; Xi Chen; Shiji Song; Jifeng Dai; Gao Huang 001 (CVPR, 2020)

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation. - Guolei Sun; Wenguan Wang; Jifeng Dai; Luc Van Gool (ECCV (2), 2020)

Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. - Hang Gao; Xizhou Zhu; Stephen Lin 001; Jifeng Dai (ICLR, 2020)

VL-BERT: Pre-training of Generic Visual-Linguistic Representations. - Weijie Su 002; Xizhou Zhu; Yue Cao; Bin Li 025; Lewei Lu; Furu Wei; Jifeng Dai (ICLR, 2020)

1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask. - Jingru Tan; Gang Zhang; Hanming Deng; Changbao Wang; Lewei Lu; Quanquan Li; Jifeng Dai (CoRR, 2020)

Unsupervised Object Detection With LIDAR Clues. - Hao Tian 006; Yuntao Chen; Jifeng Dai; Zhaoxiang Zhang 001; Xizhou Zhu (CVPR, 2021)

Fast Convergence of DETR with Spatially Modulated Co-Attention. - Peng Gao 007; Minghang Zheng; Xiaogang Wang 001; Jifeng Dai; Hongsheng Li 001 (ICCV, 2021)

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting. - Rui Liu 019; Hanming Deng; Yangyi Huang; Xiaoyu Shi 002; Lewei Lu; Wenxiu Sun; Xiaogang Wang 001; Jifeng Dai; Hongsheng Li 001 (ICCV, 2021)

Influence Selection for Active Learning. - Zhuoming Liu 001; Hao Ding; Huaping Zhong; Weijia Li; Jifeng Dai; Conghui He (ICCV, 2021)

Exploring Cross-Image Pixel Contrast for Semantic Segmentation. - Wenguan Wang; Tianfei Zhou; Fisher Yu 001; Jifeng Dai; Ender Konukoglu; Luc Van Gool (ICCV, 2021)

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. - Hao Li 069; Chenxin Tao; Xizhou Zhu; Xiaogang Wang 001; Gao Huang 001; Jifeng Dai (ICLR, 2021)

Deformable DETR: Deformable Transformers for End-to-End Object Detection. - Xizhou Zhu; Weijie Su 002; Lewei Lu; Bin Li 025; Xiaogang Wang 001; Jifeng Dai (ICLR, 2021)

Searching Parameterized AP Loss for Object Detection. - Chenxin Tao; Zizhang Li; Xizhou Zhu; Gao Huang 001; Yong Liu 033; Jifeng Dai (NeurIPS, 2021)

Decoupled Spatial-Temporal Transformer for Video Inpainting. - Rui Liu 019; Hanming Deng; Yangyi Huang; Xiaoyu Shi 002; Lewei Lu; Wenxiu Sun; Xiaogang Wang 001; Jifeng Dai; Hongsheng Li 001 (CoRR, 2021)

Scalable Transformers for Neural Machine Translation. - Peng Gao 007; Shijie Geng; Yu Qiao 001; Xiaogang Wang 001; Jifeng Dai; Hongsheng Li 001 (CoRR, 2021)

Collaborative Visual Navigation. - Haiyang Wang; Wenguan Wang; Xizhou Zhu; Jifeng Dai; Liwei Wang 001 (CoRR, 2021)

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling. - Renrui Zhang; Rongyao Fang; Wei Zhang 056; Peng Gao 007; Kunchang Li 002; Jifeng Dai; Yu Qiao 001; Hongsheng Li 001 (CoRR, 2021)

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition. - Changyao Tian; Wenhai Wang; Xizhou Zhu; Xiaogang Wang 001; Jifeng Dai; Yu Qiao 001 (CoRR, 2021)

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. - Xizhou Zhu; Jinguo Zhu; Hao Li 069; Xiaoshi Wu; Xiaogang Wang 001; Hongsheng Li 001; Xiaohua Wang 001; Jifeng Dai (CoRR, 2021)

AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks. - Hao Li 069; Tianwen Fu; Jifeng Dai; Hongsheng Li 001; Gao Huang 001; Xizhou Zhu (CVPR, 2022)

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. - Chenxin Tao; Honghui Wang; Xizhou Zhu; Jiahua Dong 002; Shiji Song; Gao Huang 001; Jifeng Dai (CVPR, 2022)

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. - Xizhou Zhu; Jinguo Zhu; Hao Li 069; Xiaoshi Wu; Hongsheng Li 001; Xiaohua Wang 001; Jifeng Dai (CVPR, 2022)

FlowFormer: A Transformer Architecture for Optical Flow. - Zhaoyang Huang; Xiaoyu Shi 002; Chao Zhang; Qiang Wang 023; Ka Chun Cheung; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (ECCV (17), 2022)

BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers. - Zhiqi Li; Wenhai Wang; Hongyang Li 001; Enze Xie; Chonghao Sima; Tong Lu; Yu Qiao 001; Jifeng Dai (ECCV (9), 2022)

Frozen CLIP Models are Efficient Video Learners. - Ziyi Lin; Shijie Geng; Renrui Zhang; Peng Gao 007; Gerard de Melo; Xiaogang Wang 001; Jifeng Dai; Yu Qiao 001; Hongsheng Li 001 (ECCV (35), 2022)

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition. - Changyao Tian; Wenhai Wang; Xizhou Zhu; Jifeng Dai; Yu Qiao 001 (ECCV (25), 2022)

Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification. - Renrui Zhang; Wei Zhang 056; Rongyao Fang; Peng Gao 007; Kunchang Li 002; Jifeng Dai; Yu Qiao 001; Hongsheng Li 001 (ECCV (35), 2022)

MCMAE: Masked Convolution Meets Masked Autoencoders. - Peng Gao 007; Teli Ma; Hongsheng Li 001; Ziyi Lin; Jifeng Dai; Yu Qiao 001 (NeurIPS, 2022)

Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs. - Jinguo Zhu; Xizhou Zhu; Wenhai Wang; Xiaohua Wang 001; Hongsheng Li 001; Xiaogang Wang 001; Jifeng Dai (NeurIPS, 2022)

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers. - Zhiqi Li; Wenhai Wang; Hongyang Li 001; Enze Xie; Chonghao Sima; Tong Lu; Qiao Yu; Jifeng Dai (CoRR, 2022)

ConvMAE: Masked Convolution Meets Masked Autoencoders. - Peng Gao 007; Teli Ma; Hongsheng Li 001; Ziyi Lin; Jifeng Dai; Yu Qiao 001 (CoRR, 2022)

Siamese Image Modeling for Self-Supervised Vision Representation Learning. - Chenxin Tao; Xizhou Zhu; Gao Huang 001; Yu Qiao 001; Xiaogang Wang 001; Jifeng Dai (CoRR, 2022)

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification. - Renrui Zhang; Zhang Wei; Rongyao Fang; Peng Gao 007; Kunchang Li 002; Jifeng Dai; Yu Qiao 001; Hongsheng Li 001 (CoRR, 2022)

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe. - Hongyang Li 001; Chonghao Sima; Jifeng Dai; Wenhai Wang; Lewei Lu; Huijie Wang; Enze Xie; Zhiqi Li; Hanming Deng; Hao Tian 006; Xizhou Zhu; Li Chen 008; et al. (CoRR, 2022)

Demystify Transformers & Convolutions in Modern Image Deep Networks. - Jifeng Dai; Min Shi 004; Weiyun Wang; Sitong Wu; Linjie Xing; Wenhai Wang; Xizhou Zhu; Lewei Lu; Jie Zhou 001; Xiaogang Wang 001; Yu Qiao 001; Xiaowei Hu 001 (CoRR, 2022)

Goal-oriented Autonomous Driving. - Yihan Hu 001; Jiazhi Yang; Li Chen 008; Keyu Li; Chonghao Sima; Xizhou Zhu; Siqi Chai; Senyao Du; Tianwei Lin; Wenhai Wang; Lewei Lu; Xiaosong Jia; et al. (CoRR, 2022)

Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. - Weijie Su 002; Xizhou Zhu; Chenxin Tao; Lewei Lu; Bin Li 025; Gao Huang 001; Yu Qiao 001; Xiaogang Wang 001; Jie Zhou 001; Jifeng Dai (CVPR, 2023)

Planning-oriented Autonomous Driving. - Yihan Hu 001; Jiazhi Yang; Li Chen 008; Keyu Li; Chonghao Sima; Xizhou Zhu; Siqi Chai; Senyao Du; Tianwei Lin; Wenhai Wang; Lewei Lu; Xiaosong Jia; et al. (CVPR, 2023)

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. - Hao Li 069; Jinguo Zhu; Xiaohu Jiang; Xizhou Zhu; Hongsheng Li 001; Chun Yuan; Xiaohua Wang 001; Yu Qiao 001; Xiaogang Wang 001; Wenhai Wang; Jifeng Dai (CVPR, 2023)

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation. - Xiaoyu Shi 002; Zhaoyang Huang; Dasong Li; Manyuan Zhang; Ka Chun Cheung; Simon See; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (CVPR, 2023)

Siamese Image Modeling for Self-Supervised Vision Representation Learning. - Chenxin Tao; Xizhou Zhu; Weijie Su 002; Gao Huang 001; Bin Li 025; Jie Zhou 001; Yu Qiao 001; Xiaogang Wang 001; Jifeng Dai (CVPR, 2023)

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. - Wenhai Wang; Jifeng Dai; Zhe Chen 017; Zhenhang Huang; Zhiqi Li; Xizhou Zhu; Xiaowei Hu 001; Tong Lu; Lewei Lu; Hongsheng Li 001; Xiaogang Wang 001; Yu Qiao 001 (CVPR, 2023)

Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. - Jiaqi Xu; Xiaowei Hu 001; Lei Zhu 003; Qi Dou 001; Jifeng Dai; Yu Qiao 001; Pheng-Ann Heng (CVPR, 2023)

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. - Chenyu Yang; Yuntao Chen; Hao Tian 006; Chenxin Tao; Xizhou Zhu; Zhaoxiang Zhang 001; Gao Huang 001; Hongyang Li 001; Yu Qiao 001; Lewei Lu; Jie Zhou 001; Jifeng Dai (CVPR, 2023)

Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions. - Yurui Zhu; Tianyu Wang 003; Xueyang Fu; Xuanyu Yang; Xin Guo 018; Jifeng Dai; Yu Qiao 001; Xiaowei Hu 001 (CVPR, 2023)

VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation. - Xiaoyu Shi 002; Zhaoyang Huang; Weikang Bian; Dasong Li; Manyuan Zhang; Ka Chun Cheung; Simon See; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (ICCV, 2023)

Vision Transformer Adapter for Dense Predictions. - Zhe Chen 017; Yuchen Duan; Wenhai Wang; Junjun He; Tong Lu; Jifeng Dai; Yu Qiao 001 (ICLR, 2023)

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought. - Yao Mu 001; Qinglong Zhang; Mengkang Hu; Wenhai Wang; Mingyu Ding; Jun Jin; Bin Wang 034; Jifeng Dai; Yu Qiao 001; Ping Luo 002 (NeurIPS, 2023)

JourneyDB: A Benchmark for Generative Image Understanding. - Keqiang Sun; Junting Pan; Yuying Ge; Hao Li 069; Haodong Duan; Xiaoshi Wu; Renrui Zhang; Aojun Zhou; Zipeng Qin; Yi Wang 074; Jifeng Dai; Yu Qiao 001; et al. (NeurIPS, 2023)

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks. - Wenhai Wang; Zhe Chen 017; Xiaokang Chen; Jiannan Wu; Xizhou Zhu; Gang Zeng; Ping Luo 002; Tong Lu; Jie Zhou 001; Yu Qiao 001; Jifeng Dai (NeurIPS, 2023)

InternGPT: Solving Vision-Centric Tasks by Interacting with Chatbots Beyond Language. - Zhaoyang Liu 001; Yinan He; Wenhai Wang; Weiyun Wang; Yi Wang 074; Shoufa Chen; Qinglong Zhang; Zeqiang Lai; Yang Yang 002; Qingyun Li; Jiashuo Yu; Kunchang Li 002; et al. (CoRR, 2023)

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. - Xizhou Zhu; Yuntao Chen; Hao Tian 006; Chenxin Tao; Weijie Su 002; Chenyu Yang; Gao Huang 001; Bin Li 025; Lewei Lu; Xiaogang Wang 001; Yu Qiao 001; Zhaoxiang Zhang 001; et al. (CoRR, 2023)

Denoising Diffusion Semantic Segmentation with Mask Prior Modeling. - Zeqiang Lai; Yuchen Duan; Jifeng Dai; Ziheng Li; Ying Fu 001; Hongsheng Li 001; Yu Qiao 001; Wenhai Wang (CoRR, 2023)

FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow. - Zhaoyang Huang; Xiaoyu Shi 002; Chao Zhang; Qiang Wang 023; Yijin Li; Hongwei Qin; Jifeng Dai; Xiaogang Wang 001; Hongsheng Li 001 (CoRR, 2023)

Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models. - Zeqiang Lai; Xizhou Zhu; Jifeng Dai; Yu Qiao 001; Wenhai Wang (CoRR, 2023)

ControlLLM: Augment Language Models with Tools by Searching on Graphs. - Zhaoyang Liu 001; Zeqiang Lai; Zhangwei Gao; Erfei Cui; Zhiheng Li; Xizhou Zhu; Lewei Lu; Qifeng Chen; Yu Qiao 001; Jifeng Dai; Wenhai Wang (CoRR, 2023)

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision. - Yu Yi; Xue Yang 005; Qingyun Li; Feipeng Da; Junchi Yan; Jifeng Dai; Yu Qiao 001 (CoRR, 2023)

InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation. - Rongyao Fang; Shilin Yan; Zhaoyang Huang; Jingqiu Zhou; Hao Tian 006; Jifeng Dai; Hongsheng Li 001 (CoRR, 2023)

DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving. - Wenhai Wang; Jiangwei Xie; Chuanyang Hu; Haoming Zou; Jianan Fan; Wenwen Tong; Yang Wen; Silei Wu; Hanming Deng; Zhiqi Li; Hao Tian 006; Lewei Lu; et al. (CoRR, 2023)

A Survey of Reasoning with Foundation Models. - Jiankai Sun; Chuanyang Zheng; Enze Xie; Zhengying Liu; Ruihang Chu; Jianing Qiu; Jiaqi Xu; Mingyu Ding; Hongyang Li 001; Mengzhe Geng; Yue Wu 002; Wenhai Wang; et al. (CoRR, 2023)

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks. - Zhe Chen 017; Jiannan Wu; Wenhai Wang; Weijie Su 002; Guo Chen 006; Sen Xing; Muyan Zhong; Qinglong Zhang; Xizhou Zhu; Lewei Lu; Bin Li 025; Ping Luo 002; et al. (CoRR, 2023)

Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks. - Zhe Chen 017; Jiannan Wu; Wenhai Wang; Weijie Su 002; Guo Chen 006; Sen Xing; Muyan Zhong; Qinglong Zhang; Xizhou Zhu; Lewei Lu; Bin Li 025; Ping Luo 002; et al. (CVPR, 2024)

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. - Hao Li 069; Xue Yang 005; Zhaokai Wang; Xizhou Zhu; Jie Zhou 001; Yu Qiao 001; Xiaogang Wang 001; Hongsheng Li 001; Lewei Lu; Jifeng Dai (CVPR, 2024)

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. - Yuwen Xiong; Zhiqi Li; Yuntao Chen; Feng Wang 015; Xizhou Zhu; Jiapeng Luo; Wenhai Wang; Tong Lu; Hongsheng Li 001; Yu Qiao 001; Lewei Lu; Jie Zhou 001; et al. (CVPR, 2024)

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-End Oriented Object Detection with Single Point Supervision. - Yi Yu 010; Xue Yang 005; Qingyun Li; Feipeng Da; Jifeng Dai; Yu Qiao 001; Junchi Yan (CVPR, 2024)

Distilling Knowledge from Large-Scale Image Models for Object Detection. - Gang Li; Wenhai Wang; Xiang Li 041; Ziheng Li; Jian Yang 003; Jifeng Dai; Yu Qiao 001; Shanshan Zhang 001 (ECCV (84), 2024)

ControlLLM: Augment Language Models with Tools by Searching on Graphs. - Zhaoyang Liu 001; Zeqiang Lai; Zhangwei Gao; Erfei Cui; Ziheng Li; Xizhou Zhu; Lewei Lu; Qifeng Chen; Yu Qiao 001; Jifeng Dai; Wenhai Wang (ECCV (12), 2024)

The All-Seeing Project V2: Towards General Relation Comprehension of the Open World. - Weiyun Wang; Yiming Ren; Haowen Luo; Tiantong Li; Chenxiang Yan; Zhe Chen 017; Wenhai Wang; Qingyun Li; Lewei Lu; Xizhou Zhu; Yu Qiao 001; Jifeng Dai (ECCV (33), 2024)

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process. - Changyao Tian; Chenxin Tao; Jifeng Dai; Hao Li 069; Ziheng Li; Lewei Lu; Xiaogang Wang 001; Hongsheng Li 001; Gao Huang 001; Xizhou Zhu (ICLR, 2024)

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World. - Weiyun Wang; Min Shi 004; Qingyun Li; Wenhai Wang; Zhenhang Huang; Linjie Xing; Zhe Chen 017; Hao Li 069; Xizhou Zhu; Zhiguo Cao 001; Yushi Chen; Tong Lu; et al. (ICLR, 2024)

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments. - Yang Yang 002; Wenhai Wang; Zhe Chen 017; Jifeng Dai; Liang Zheng 001 (ICLR, 2024)

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. - Yao Mu 001; Junting Chen; Qinglong Zhang; Shoufa Chen; Qiaojun Yu; Chongjian Ge; Runjian Chen; Zhixuan Liang; Mengkang Hu; Chaofan Tao; Peize Sun; Haibao Yu; et al. (ICML, 2024)

CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics. - Jiawei Gao 004; Ziqin Wang; Zeqi Xiao; Jingbo Wang 003; Tai Wang; Jinkun Cao; Xiaolin Hu 001; Si Liu 001; Jifeng Dai; Jiangmiao Pang (NeurIPS, 2024)

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD. - Xiaoyi Dong; Pan Zhang 001; Yuhang Zang; Yuhang Cao; Bin Wang 065; Linke Ouyang; Songyang Zhang; Haodong Duan; Wenwei Zhang; Yining Li; Hang Yan 001; Yang Gao 042; et al. (NeurIPS, 2024)

DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model. - Zhixiong Nan; Xianghong Li; Tao Xiang 001; Jifeng Dai (NeurIPS, 2024)

Learning 1D Causal Visual Representation with De-focus Attention Networks. - Chenxin Tao; Xizhou Zhu; Shiqian Su; Lewei Lu; Changyao Tian; Xuan Luo; Gao Huang 001; Hongsheng Li 001; Yu Qiao 001; Jie Zhou 001; Jifeng Dai (NeurIPS, 2024)

Needle In A Multimodal Haystack. - Weiyun Wang; Shuibo Zhang; Yiming Ren; Yuchen Duan; Tiantong Li; Shuo Liu; Mengkang Hu; Zhe Chen 017; Kaipeng Zhang; Lewei Lu; Xizhou Zhu; Ping Luo 002; et al. (NeurIPS, 2024)

VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks. - Jiannan Wu; Muyan Zhong; Sen Xing; Zeqiang Lai; Zhaoyang Liu 001; Zhe Chen 017; Wenhai Wang; Xizhou Zhu; Lewei Lu; Tong Lu; Ping Luo 002; Yu Qiao 001; et al. (NeurIPS, 2024)

Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning. - Chenyu Yang; Xizhou Zhu; Jinguo Zhu; Weijie Su 002; Junjie Wang 009; Xuan Dong; Wenhai Wang; Lewei Lu; Bin Li 025; Jie Zhou 001; Yu Qiao 001; Jifeng Dai (NeurIPS, 2024)

Parameter-Inverted Image Pyramid Networks. - Xizhou Zhu; Xue Yang 005; Zhaokai Wang; Hao Li 069; Wenhan Dou; Junqi Ge; Lewei Lu; Yu Qiao 001; Jifeng Dai (NeurIPS, 2024)

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling. - Xiaoyu Shi 002; Zhaoyang Huang; Fu-Yun Wang; Weikang Bian; Dasong Li; Yi Zhang 108; Manyuan Zhang; Ka Chun Cheung; Simon See; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (SIGGRAPH (Conference Paper Track), 2024)

How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites. - Zhe Chen 017; Weiyun Wang; Hao Tian 006; Shenglong Ye; Zhangwei Gao; Erfei Cui; Wenwen Tong; Kongzhi Hu; Jiapeng Luo; Zheng Ma; Ji Ma; Jiaqi Wang 003; et al. (Sci. China Inf. Sci., 2024)

MMInstruct: a high-quality multi-modal instruction tuning dataset with extensive diversity. - Yangzhou Liu; Yue Cao; Zhangwei Gao; Weiyun Wang; Zhe Chen 017; Wenhai Wang; Hao Tian 006; Lewei Lu; Xizhou Zhu; Tong Lu; Yu Qiao 001; Jifeng Dai (Sci. China Inf. Sci., 2024)

Effect of a reduced arterial axial pre-stretch ratio during aging on the cardiac output and cerebral blood flow in the healthy elders. - Heming Cheng; Dongfang Ding; Jifeng Dai; Gen Li; Ke Zhang; Jianyun Li; Liuchuang Wei; Xue Zhang; Jie Hou (Comput. Methods Programs Biomed., 2024)

MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer. - Changyao Tian; Xizhou Zhu; Yuwen Xiong; Weiyun Wang; Zhe Chen 017; Wenhai Wang; Yuntao Chen; Lewei Lu; Tong Lu; Jie Zhou 001; Hongsheng Li 001; Yu Qiao 001; et al. (CoRR, 2024)

FLoRA: Low-Rank Core Space for N-dimension. - Chongjie Si; Xuehui Wang; Xue Yang 005; Zhengqin Xu; Qingyun Li; Jifeng Dai; Yu Qiao 001; Xiaokang Yang 001; Wei Shen 002 (CoRR, 2024)

LLMs Meet Multimodal Generation and Editing: A Survey. - Yingqing He; Zhaoyang Liu 001; Jingye Chen; Zeyue Tian; Hongyu Liu; Xiaowei Chi; Runtao Liu; Ruibin Yuan; Yazhou Xing; Wenhai Wang; Jifeng Dai; Yong Zhang 034; et al. (CoRR, 2024)

Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams. - Haoji Zhang 001; Yiqin Wang; Yansong Tang; Yong Liu 033; Jiashi Feng; Jifeng Dai; Xiaojie Jin (CoRR, 2024)

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text. - Qingyun Li; Zhe Chen 017; Weiyun Wang; Wenhai Wang; Shenglong Ye; Zhenjiang Jin; Guanzhou Chen 004; Yinan He; Zhangwei Gao; Erfei Cui; Jiashuo Yu; Hao Tian 006; et al. (CoRR, 2024)

Hierarchical Memory for Long Video QA. - Yiqin Wang; Haoji Zhang 001; Yansong Tang; Yong Liu 033; Jiashi Feng; Jifeng Dai; Xiaojie Jin (CoRR, 2024)

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output. - Pan Zhang 001; Xiaoyi Dong; Yuhang Zang; Yuhang Cao; Rui Qian 001; Lin Chen 026; Qipeng Guo; Haodong Duan; Bin Wang 065; Linke Ouyang; Songyang Zhang; Wenwei Zhang; et al. (CoRR, 2024)

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. - Fanqing Meng; Jin Wang; Chuanhao Li 001; Quanfeng Lu; Hao Tian 006; Jiaqi Liao; Xizhou Zhu; Jifeng Dai; Yu Qiao 001; Ping Luo 002; Kaipeng Zhang; Wenqi Shao (CoRR, 2024)

Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training. - Gen Luo; Xue Yang 005; Wenhan Dou; Zhaokai Wang; Jifeng Dai; Yu Qiao 001; Xizhou Zhu (CoRR, 2024)

big.LITTLE Vision Transformer for Efficient Visual Recognition. - He Guo 005; Yulong Wang; Zixuan Ye; Jifeng Dai; Yuwen Xiong (CoRR, 2024)

PUMA: Empowering Unified MLLM with Multi-granular Visual Generation. - Rongyao Fang; Chengqi Duan; Kun Wang; Hao Li 069; Hao Tian 006; Xingyu Zeng; Rui Zhao 001; Jifeng Dai; Hongsheng Li 001; Xihui Liu (CoRR, 2024)

Diffusion Transformer Policy. - Zhi Hou; Tianyi Zhang; Yuwen Xiong; Hengjun Pu; Chengyang Zhao; Ronglei Tong; Yu Qiao 001; Jifeng Dai; Yuntao Chen (CoRR, 2024)

Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance. - Zhangwei Gao; Zhe Chen 017; Erfei Cui; Yiming Ren; Weiyun Wang; Jinguo Zhu; Hao Tian 006; Shenglong Ye; Junjun He; Xizhou Zhu; Lewei Lu; Tong Lu; et al. (CoRR, 2024)

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization. - Weiyun Wang; Zhe Chen 017; Wenhai Wang; Yue Cao; Yangzhou Liu; Zhangwei Gao; Jinguo Zhu; Xizhou Zhu; Lewei Lu; Yu Qiao 001; Jifeng Dai (CoRR, 2024)

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost. - Sen Xing; Muyan Zhong; Zeqiang Lai; Liangchen Li; Jiawen Liu; Yaohui Wang; Jifeng Dai; Wenhai Wang (CoRR, 2024)

HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving. - Zehuan Wu; Jingcheng Ni; Xiaodong Wang; Yuxin Guo; Rui Chen; Lewei Lu; Jifeng Dai; Yuwen Xiong (CoRR, 2024)

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling. - Zhe Chen 017; Weiyun Wang; Yue Cao; Yangzhou Liu; Zhangwei Gao; Erfei Cui; Jinguo Zhu; Shenglong Ye; Hao Tian 006; Zhaoyang Liu 001; Lixin Gu; Xuehui Wang; et al. (CoRR, 2024)

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding. - Junqi Ge; Ziyi Chen; Jintao Lin; Jinguo Zhu; Xihui Liu; Jifeng Dai; Xizhou Zhu (CoRR, 2024)

Mini-InternVL: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance. - Zhangwei Gao; Zhe Chen 017; Erfei Cui; Yiming Ren; Weiyun Wang; Jinguo Zhu; Hao Tian 006; Shenglong Ye; Junjun He; Xizhou Zhu; Lewei Lu; Tong Lu; et al. (Vis. Intell., 2024)

Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe. - Hongyang Li 001; Chonghao Sima; Jifeng Dai; Wenhai Wang; Lewei Lu; Huijie Wang; Jia Zeng; Zhiqi Li; Jiazhi Yang; Hanming Deng; Hao Tian 006; Enze Xie; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

FeatAug-DETR: Enriching One-to-Many Matching for DETRs With Feature Augmentation. - Rongyao Fang; Peng Gao 007; Aojun Zhou; Yingjie Cai; Si Liu 001; Jifeng Dai; Hongsheng Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Docopilot: Improving Multimodal Models for Document-Level Understanding. - Yuchen Duan; Zhe Chen 017; Yusong Hu; Weiyun Wang; Shenglong Ye; Botian Shi; Lewei Lu; Qibin Hou; Tong Lu; Hongsheng Li 001; Jifeng Dai; Wenhai Wang (CVPR, 2025)

SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding. - Hao Li 069; Changyao Tian; Jie Shao; Xizhou Zhu; Zhaokai Wang; Jinguo Zhu; Wenhan Dou; Xiao-Gang Wang 001; Hongsheng Li 001; Lewei Lu; Jifeng Dai (CVPR, 2025)

Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training. - Gen Luo; Xue Yang 005; Wenhan Dou; Zhaokai Wang; Jiawen Liu; Jifeng Dai; Yu Qiao 001; Xizhou Zhu (CVPR, 2025)

MI-DETR: An Object Detection Model with Multi-time Inquiries Mechanism. - Zhixiong Nan; Xianghong Li; Jifeng Dai; Tao Xiang 001 (CVPR, 2025)

HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding. - Chenxin Tao; Shiqian Su; Xizhou Zhu; Chenyu Zhang; Zhe Chen 017; Jiawen Liu; Wenhai Wang; Lewei Lu; Gao Huang 001; Yu Qiao 001; Jifeng Dai (CVPR, 2025)

PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models. - Chenyu Yang; Xuan Dong; Xizhou Zhu; Weijie Su 002; Jiahao Wang; Hao Tian 006; Zhe Chen 017; Wenhai Wang; Lewei Lu; Jifeng Dai (CVPR, 2025)

Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures. - Yuchen Duan; Weiyun Wang; Zhe Chen 017; Xizhou Zhu; Lewei Lu; Tong Lu; Yu Qiao 001; Hongsheng Li 001; Jifeng Dai; Wenhai Wang (ICLR, 2025)

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. - Fanqing Meng; Jin Wang; Chuanhao Li 001; Quanfeng Lu; Hao Tian 006; Tianshuo Yang; Jiaqi Liao; Xizhou Zhu; Jifeng Dai; Yu Qiao 001; Ping Luo 002; Kaipeng Zhang; et al. (ICLR, 2025)

Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning. - Chongjie Si; Xuehui Wang; Xue Yang 005; Zhengqin Xu; Qingyun Li; Jifeng Dai; Yu Qiao 001; Xiaokang Yang 001; Wei Shen 002 (ICLR, 2025)

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding. - Zhaokai Wang; Xizhou Zhu; Xue Yang 005; Gen Luo; Hao Li 069; Changyao Tian; Wenhan Dou; Junqi Ge; Lewei Lu; Yu Qiao 001; Jifeng Dai (CoRR, 2025)

VisualPRM: An Effective Process Reward Model for Multimodal Reasoning. - Weiyun Wang; Zhangwei Gao; Lianjie Chen; Zhe Chen 017; Jinguo Zhu; Xiangyu Zhao; Yangzhou Liu; Yue Cao; Shenglong Ye; Xizhou Zhu; Lewei Lu; Haodong Duan; et al. (CoRR, 2025)

GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing. - Rongyao Fang; Chengqi Duan; Kun Wang; Linjiang Huang; Hao Li 069; Shilin Yan; Hao Tian 006; Xingyu Zeng; Rui Zhao 001; Jifeng Dai; Xihui Liu; Hongsheng Li 001 (CoRR, 2025)

LangBridge: Interpreting Image as a Combination of Language Embeddings. - Jiaqi Liao; Yuwei Niu; Fanqing Meng; Hao Li 069; Changyao Tian; Yinuo Du; Yuwen Xiong; Dianqi Li; Xizhou Zhu; Li Yuan; Jifeng Dai; Yu Cheng 001 (CoRR, 2025)

Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy. - Zhi Hou; Tianyi Zhang; Yuwen Xiong; Haonan Duan 001; Hengjun Pu; Ronglei Tong; Chengyang Zhao; Xizhou Zhu; Yu Qiao 001; Jifeng Dai; Yuntao Chen (CoRR, 2025)

BEVFormer: Learning Bird's-Eye-View Representation From LiDAR-Camera via Spatiotemporal Transformers. - Zhiqi Li; Wenhai Wang; Hongyang Li 001; Enze Xie; Chonghao Sima; Tong Lu; Yu Qiao 001; Jifeng Dai (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models. - Jinguo Zhu; Weiyun Wang; Zhe Chen 017; Zhaoyang Liu 001; Shenglong Ye; Lixin Gu; Hao Tian 006; Yuchen Duan; Weijie Su 002; Jie Shao; Zhangwei Gao; Erfei Cui; et al. (CoRR, 2025)

VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models. - Weiye Xu 003; Jiahao Wang; Weiyun Wang; Zhe Chen 017; Wengang Zhou 001; Aijun Yang; Lewei Lu; Houqiang Li; Xiaohua Wang 001; Xizhou Zhu; Wenhai Wang; Jifeng Dai; et al. (CoRR, 2025)

Demystify Transformers & Convolutions in Modern Image Deep Networks. - Xiaowei Hu 001; Min Shi 004; Weiyun Wang; Sitong Wu; Linjie Xing; Wenhai Wang; Xizhou Zhou; Lewei Lu; Jie Zhou 001; Xiaogang Wang 005; Yu Qiao 001; Jifeng Dai (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning. - Zhenghao Xing; Xiaowei Hu 001; Chi-Wing Fu; Wenhai Wang; Jifeng Dai; Pheng-Ann Heng (CoRR, 2025)

Learning Adaptive and Temporally Causal Video Tokenization in a 1D Latent Space. - Yan Li 098; Changyao Tian; Renqiu Xia; Ning Liao; Weiwei Guo; Junchi Yan; Hongsheng Li 001; Jifeng Dai; Hao Li 069; Xue Yang 005 (CoRR, 2025)

Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings. - Xingguang Wei; Haomin Wang 002; Shenglong Ye; Ruifeng Luo; Yanting Zhang; Lixin Gu; Jifeng Dai; Yu Qiao 001; Wenhai Wang; Hongjie Zhang 002 (CoRR, 2025)

ZeroGUI: Automating Online GUI Learning at Zero Human Cost. - Chenyu Yang; Shiqian Su; Shi Liu; Xuan Dong; Yue Yu; Weijie Su 002; Xuehui Wang; Zhaoyang Liu 001; Jinguo Zhu; Hao Li 069; Wenhai Wang; Yu Qiao 001; et al. (CoRR, 2025)

Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces. - Gen Luo; Ganlin Yang; Ziyang Gong; Guanzhou Chen 004; Haonan Duan 001; Erfei Cui; Ronglei Tong; Zhi Hou; Tianyi Zhang; Zhe Chen 017; Shenglong Ye; Lewei Lu; et al. (CoRR, 2025)

OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis. - Junting Chen; Haotian Liang; Lingxiao Du; Weiyun Wang; Mengkang Hu; Yao Mu 001; Wenhai Wang; Jifeng Dai; Ping Luo 002; Wenqi Shao; Lin Shao 002 (CoRR, 2025)

CoMemo: LVLMs Need Image Context with Image Memory. - Shi Liu; Weijie Su 002; Xizhou Zhu; Wenhai Wang; Jifeng Dai (CoRR, 2025)

InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models. - Nianchen Deng; Lixin Gu; Shenglong Ye; Yinan He; Zhe Chen 017; Songze Li; Haomin Wang 002; Xingguang Wei; Tianshuo Yang; Min Dou; Tong He 001; Wenqi Shao; et al. (CoRR, 2025)

Spatial Frequency Modulation for Semantic Segmentation. - Linwei Chen; Ying Fu 001; Lin Gu 003; Dezhi Zheng; Jifeng Dai (CoRR, 2025)

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models. - Gen Luo; Wenhan Dou; Wenhao Li 001; Zhaokai Wang; Xue Yang 005; Changyao Tian; Hao Li 069; Weiyun Wang; Wenhai Wang; Xizhou Zhu; Yu Qiao 001; Jifeng Dai (CoRR, 2025)

AnyCap Project: A Unified Framework, Dataset, and Benchmark for Controllable Omni-modal Captioning. - Yiming Ren; Zhiqiang Lin; Yu Li 022; Gao Meng; Weiyun Wang; Junjie Wang 009; Zicheng Lin; Jifeng Dai; Yujiu Yang; Wenhai Wang; Ruihang Chu (CoRR, 2025)

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents. - Xuehui Wang; Zhenyu Wu; JingJing Xie; Zichen Ding 002; Bowen Yang; Zehao Li; Zhaoyang Liu 001; Qingyun Li; Xuan Dong; Zhe Chen 017; Weiyun Wang; Xiangyu Zhao; et al. (CoRR, 2025)

Grounding Actions in Camera Space: Observation-Centric Vision-Language-Action Policy. - Tianyi Zhang; Haonan Duan 001; Haoran Hao; Yu Qiao 001; Jifeng Dai; Zhi Hou (CoRR, 2025)

A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook. - Jiankai Sun; Chuanyang Zheng; Enze Xie; Zhengying Liu; Ruihang Chu; Jianing Qiu; Jiaqi Xu; Mingyu Ding; Hongyang Li 001; Mengzhe Geng; Yue Wu 012; Wenhai Wang; et al. (ACM Comput. Surv., 2025)