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Xizhou Zhu
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2020 – today
- 2024
- [c32]Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. CVPR 2024: 5652-5661 - [c31]Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai:
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. CVPR 2024: 16426-16435 - [c30]Zhe Chen, Jiannan Wu, Wenhai Wang, Weijie Su, Guo Chen, Sen Xing, Muyan Zhong, Qinglong Zhang, Xizhou Zhu, Lewei Lu, Bin Li, Ping Luo, Tong Lu, Yu Qiao, Jifeng Dai:
Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks. CVPR 2024: 24185-24198 - [c29]Zhaoyang Liu, Zeqiang Lai, Zhangwei Gao, Erfei Cui, Ziheng Li, Xizhou Zhu, Lewei Lu, Qifeng Chen, Yu Qiao, Jifeng Dai, Wenhai Wang:
ControlLLM: Augment Language Models with Tools by Searching on Graphs. ECCV (12) 2024: 89-105 - [c28]Weiyun Wang, Yiming Ren, Haowen Luo, Tiantong Li, Chenxiang Yan, Zhe Chen, Wenhai Wang, Qingyun Li, Lewei Lu, Xizhou Zhu, Yu Qiao, Jifeng Dai:
The All-Seeing Project V2: Towards General Relation Comprehension of the Open World. ECCV (33) 2024: 471-490 - [c27]Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu:
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process. ICLR 2024 - [c26]Weiyun Wang, Min Shi, Qingyun Li, Wenhai Wang, Zhenhang Huang, Linjie Xing, Zhe Chen, Hao Li, Xizhou Zhu, Zhiguo Cao, Yushi Chen, Tong Lu, Jifeng Dai, Yu Qiao:
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World. ICLR 2024 - [i57]Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. CoRR abs/2401.06197 (2024) - [i56]Chongzhi Zhang, Mingyuan Zhang, Zhiyang Teng, Jiayi Li, Xizhou Zhu, Lewei Lu, Ziwei Liu, Aixin Sun:
Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization. CoRR abs/2401.08232 (2024) - [i55]Changyao Tian, Xizhou Zhu, Yuwen Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Yuntao Chen, Lewei Lu, Tong Lu, Jie Zhou, Hongsheng Li, Yu Qiao, Jifeng Dai:
MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer. CoRR abs/2401.10208 (2024) - [i54]Weiyun Wang, Yiming Ren, Haowen Luo, Tiantong Li, Chenxiang Yan, Zhe Chen, Wenhai Wang, Qingyun Li, Lewei Lu, Xizhou Zhu, Yu Qiao, Jifeng Dai:
The All-Seeing Project V2: Towards General Relation Comprehension of the Open World. CoRR abs/2402.19474 (2024) - [i53]Yuchen Duan, Weiyun Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, Yu Qiao, Hongsheng Li, Jifeng Dai, Wenhai Wang:
Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures. CoRR abs/2403.02308 (2024) - [i52]Zhe Chen, Weiyun Wang, Hao Tian, Shenglong Ye, Zhangwei Gao, Erfei Cui, Wenwen Tong, Kongzhi Hu, Jiapeng Luo, Zheng Ma, Ji Ma, Jiaqi Wang, Xiaoyi Dong, Hang Yan, Hewei Guo, Conghui He, Botian Shi, Zhenjiang Jin, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang:
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites. CoRR abs/2404.16821 (2024) - [i51]Xizhou Zhu, Xue Yang, Zhaokai Wang, Hao Li, Wenhan Dou, Junqi Ge, Lewei Lu, Yu Qiao, Jifeng Dai:
Parameter-Inverted Image Pyramid Networks. CoRR abs/2406.04330 (2024) - [i50]Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai:
Learning 1D Causal Visual Representation with De-focus Attention Networks. CoRR abs/2406.04342 (2024) - [i49]Weiyun Wang, Shuibo Zhang, Yiming Ren, Yuchen Duan, Tiantong Li, Shuo Liu, Mengkang Hu, Zhe Chen, Kaipeng Zhang, Lewei Lu, Xizhou Zhu, Ping Luo, Yu Qiao, Jifeng Dai, Wenqi Shao, Wenhai Wang:
Needle In A Multimodal Haystack. CoRR abs/2406.07230 (2024) - [i48]Chenyu Yang, Xizhou Zhu, Jinguo Zhu, Weijie Su, Junjie Wang, Xuan Dong, Wenhai Wang, Lewei Lu, Bin Li, Jie Zhou, Yu Qiao, Jifeng Dai:
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning. CoRR abs/2406.07543 (2024) - [i47]Jiannan Wu, Muyan Zhong, Sen Xing, Zeqiang Lai, Zhaoyang Liu, Wenhai Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, Ping Luo, Yu Qiao, Jifeng Dai:
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks. CoRR abs/2406.08394 (2024) - [i46]Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Zhenxiang Li, Pei Chu, Yi Wang, Min Dou, Changyao Tian, Xizhou Zhu, Lewei Lu, Yushi Chen, Junjun He, Zhongying Tu, Tong Lu, Yali Wang, Limin Wang, Dahua Lin, Yu Qiao, Botian Shi, Conghui He, Jifeng Dai:
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text. CoRR abs/2406.08418 (2024) - [i45]Renjie Liang, Li Li, Chongzhi Zhang, Jing Wang, Xizhou Zhu, Aixin Sun:
TVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise Queries. CoRR abs/2407.06597 (2024) - [i44]Yangzhou Liu, Yue Cao, Zhangwei Gao, Weiyun Wang, Zhe Chen, Wenhai Wang, Hao Tian, Lewei Lu, Xizhou Zhu, Tong Lu, Yu Qiao, Jifeng Dai:
MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity. CoRR abs/2407.15838 (2024) - [i43]Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao:
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. CoRR abs/2408.02718 (2024) - [i42]Gen Luo, Xue Yang, Wenhan Dou, Zhaokai Wang, Jifeng Dai, Yu Qiao, Xizhou Zhu:
Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training. CoRR abs/2410.08202 (2024) - [i41]Zhangwei Gao, Zhe Chen, Erfei Cui, Yiming Ren, Weiyun Wang, Jinguo Zhu, Hao Tian, Shenglong Ye, Junjun He, Xizhou Zhu, Lewei Lu, Tong Lu, Yu Qiao, Jifeng Dai, Wenhai Wang:
Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance. CoRR abs/2410.16261 (2024) - 2023
- [c25]Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai:
Siamese Image Modeling for Self-Supervised Vision Representation Learning. CVPR 2023: 2132-2141 - [c24]Hao Li, Jinguo Zhu, Xiaohu Jiang, Xizhou Zhu, Hongsheng Li
, Chun Yuan, Xiaohua Wang, Yu Qiao, Xiaogang Wang, Wenhai Wang, Jifeng Dai:
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. CVPR 2023: 2691-2700 - [c23]Wenhai Wang, Jifeng Dai, Zhe Chen, Zhenhang Huang, Zhiqi Li, Xizhou Zhu, Xiaowei Hu, Tong Lu, Lewei Lu, Hongsheng Li
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. CVPR 2023: 14408-14419 - [c22]Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai:
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. CVPR 2023: 15888-15899 - [c21]Chenyu Yang
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. CVPR 2023: 17830-17839 - [c20]Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li:
Planning-oriented Autonomous Driving. CVPR 2023: 17853-17862 - [c19]Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, Jifeng Dai:
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks. NeurIPS 2023 - [i40]Zhaoyang Liu, Yinan He, Wenhai Wang, Weiyun Wang, Yi Wang, Shoufa Chen, Qinglong Zhang, Zeqiang Lai, Yang Yang, Qingyun Li, Jiashuo Yu, Kunchang Li, Zhe Chen, Xue Yang, Xizhou Zhu, Yali Wang, Limin Wang, Ping Luo, Jifeng Dai, Yu Qiao:
InternGPT: Solving Vision-Centric Tasks by Interacting with Chatbots Beyond Language. CoRR abs/2305.05662 (2023) - [i39]Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, Jifeng Dai:
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks. CoRR abs/2305.11175 (2023) - [i38]Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai:
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. CoRR abs/2305.17144 (2023) - [i37]Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu:
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process. CoRR abs/2306.05423 (2023) - [i36]Weiyun Wang, Min Shi, Qingyun Li, Wenhai Wang, Zhenhang Huang, Linjie Xing, Zhe Chen, Hao Li, Xizhou Zhu, Zhiguo Cao, Yushi Chen, Tong Lu, Jifeng Dai, Yu Qiao:
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World. CoRR abs/2308.01907 (2023) - [i35]Zeqiang Lai, Xizhou Zhu, Jifeng Dai, Yu Qiao, Wenhai Wang:
Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models. CoRR abs/2310.07653 (2023) - [i34]Zhaoyang Liu, Zeqiang Lai, Zhangwei Gao, Erfei Cui, Zhiheng Li, Xizhou Zhu, Lewei Lu, Qifeng Chen, Yu Qiao, Jifeng Dai, Wenhai Wang:
ControlLLM: Augment Language Models with Tools by Searching on Graphs. CoRR abs/2310.17796 (2023) - [i33]Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai:
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. CoRR abs/2312.09238 (2023) - [i32]Wenhai Wang, Jiangwei Xie, Chuanyang Hu, Haoming Zou, Jianan Fan, Wenwen Tong, Yang Wen, Silei Wu, Hanming Deng, Zhiqi Li, Hao Tian, Lewei Lu, Xizhou Zhu, Xiaogang Wang, Yu Qiao, Jifeng Dai:
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving. CoRR abs/2312.09245 (2023) - [i31]Zhe Chen, Jiannan Wu, Wenhai Wang, Weijie Su, Guo Chen, Sen Xing, Muyan Zhong, Qinglong Zhang, Xizhou Zhu, Lewei Lu, Bin Li, Ping Luo, Tong Lu, Yu Qiao, Jifeng Dai:
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks. CoRR abs/2312.14238 (2023) - 2022
- [c18]Hao Li, Tianwen Fu, Jifeng Dai
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks. CVPR 2022: 999-1008 - [c17]Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai:
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. CVPR 2022: 14411-14420 - [c16]Xizhou Zhu, Jinguo Zhu, Hao Li, Xiaoshi Wu, Hongsheng Li
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. CVPR 2022: 16783-16794 - [c15]Changyao Tian, Wenhai Wang, Xizhou Zhu, Jifeng Dai, Yu Qiao:
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition. ECCV (25) 2022: 73-91 - [c14]Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu, Bo Dai, Qiang Xu:
DeciWatch: A Simple Baseline for 10˟ Efficient 2D and 3D Pose Estimation. ECCV (5) 2022: 607-624 - [c13]Jinguo Zhu, Xizhou Zhu, Wenhai Wang, Xiaohua Wang, Hongsheng Li, Xiaogang Wang, Jifeng Dai:
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs. NeurIPS 2022 - [i30]Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu, Bo Dai, Qiang Xu
DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation. CoRR abs/2203.08713 (2022) - [i29]Chenxin Tao, Xizhou Zhu, Gao Huang, Yu Qiao, Xiaogang Wang, Jifeng Dai:
Siamese Image Modeling for Self-Supervised Vision Representation Learning. CoRR abs/2206.01204 (2022) - [i28]Jinguo Zhu, Xizhou Zhu, Wenhai Wang, Xiaohua Wang, Hongsheng Li, Xiaogang Wang, Jifeng Dai:
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs. CoRR abs/2206.04674 (2022) - [i27]Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Enze Xie, Zhiqi Li, Hanming Deng, Hao Tian, Xizhou Zhu, Li Chen, Yulu Gao, Xiangwei Geng, Jia Zeng, Yang Li, Jiazhi Yang, Xiaosong Jia, Bohan Yu, Yu Qiao, Dahua Lin, Si Liu, Junchi Yan, Jianping Shi, Ping Luo:
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe. CoRR abs/2209.05324 (2022) - [i26]Wenhai Wang, Jifeng Dai, Zhe Chen, Zhenhang Huang, Zhiqi Li, Xizhou Zhu, Xiaowei Hu, Tong Lu, Lewei Lu, Hongsheng Li, Xiaogang Wang, Yu Qiao:
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. CoRR abs/2211.05778 (2022) - [i25]Jifeng Dai, Min Shi, Weiyun Wang, Sitong Wu, Linjie Xing, Wenhai Wang, Xizhou Zhu, Lewei Lu, Jie Zhou, Xiaogang Wang, Yu Qiao, Xiaowei Hu:
Demystify Transformers & Convolutions in Modern Image Deep Networks. CoRR abs/2211.05781 (2022) - [i24]Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai:
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information. CoRR abs/2211.09807 (2022) - [i23]Hao Li, Jinguo Zhu, Xiaohu Jiang, Xizhou Zhu, Hongsheng Li, Chun Yuan, Xiaohua Wang, Yu Qiao, Xiaogang Wang, Wenhai Wang, Jifeng Dai:
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. CoRR abs/2211.09808 (2022) - [i22]Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. CoRR abs/2211.10439 (2022) - [i21]Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li:
Goal-oriented Autonomous Driving. CoRR abs/2212.10156 (2022) - 2021
- [c12]Hao Tian, Yuntao Chen, Jifeng Dai
Unsupervised Object Detection With LIDAR Clues. CVPR 2021: 5962-5972 - [c11]Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai:
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. ICLR 2021 - [c10]Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai:
Deformable DETR: Deformable Transformers for End-to-End Object Detection. ICLR 2021 - [c9]Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai:
Searching Parameterized AP Loss for Object Detection. NeurIPS 2021: 22021-22033 - [i20]Hao Li, Tianwen Fu, Jifeng Dai, Hongsheng Li, Gao Huang, Xizhou Zhu:
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks. CoRR abs/2103.14026 (2021) - [i19]Haiyang Wang, Wenguan Wang, Xizhou Zhu, Jifeng Dai, Liwei Wang:
Collaborative Visual Navigation. CoRR abs/2107.01151 (2021) - [i18]Changyao Tian, Wenhai Wang, Xizhou Zhu, Xiaogang Wang, Jifeng Dai, Yu Qiao:
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition. CoRR abs/2111.13579 (2021) - [i17]Xizhou Zhu, Jinguo Zhu, Hao Li, Xiaoshi Wu, Xiaogang Wang, Hongsheng Li, Xiaohua Wang, Jifeng Dai:
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. CoRR abs/2112.01522 (2021) - [i16]Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai:
Searching Parameterized AP Loss for Object Detection. CoRR abs/2112.05138 (2021) - [i15]Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai:
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. CoRR abs/2112.05141 (2021) - 2020
- [c8]Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. ECCV (1) 2020: 531-548 - [c7]Hang Gao, Xizhou Zhu, Stephen Lin, Jifeng Dai:
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. ICLR 2020 - [c6]Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai:
VL-BERT: Pre-training of Generic Visual-Linguistic Representations. ICLR 2020 - [i14]Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. CoRR abs/2003.08866 (2020) - [i13]Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai:
Deformable DETR: Deformable Transformers for End-to-End Object Detection. CoRR abs/2010.04159 (2020) - [i12]Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai:
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. CoRR abs/2010.07930 (2020) - [i11]Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu:
Unsupervised Object Detection with LiDAR Clues. CoRR abs/2011.12953 (2020)
2010 – 2019
- 2019
- [c5]Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai
Deformable ConvNets V2: More Deformable, Better Results. CVPR 2019: 9308-9316 - [c4]Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. ICCV 2019: 6687-6696 - [i10]Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai:
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. CoRR abs/1904.05873 (2019) - [i9]Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai:
VL-BERT: Pre-training of Generic Visual-Linguistic Representations. CoRR abs/1908.08530 (2019) - [i8]Hang Gao, Xizhou Zhu, Steve Lin, Jifeng Dai:
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. CoRR abs/1910.02940 (2019) - 2018
- [c3]Xizhou Zhu, Jifeng Dai
Towards High Performance Video Object Detection. CVPR 2018: 7210-7218 - [i7]Xizhou Zhu, Jifeng Dai, Xingchi Zhu, Yichen Wei, Lu Yuan:
Towards High Performance Video Object Detection for Mobiles. CoRR abs/1804.05830 (2018) - [i6]Zheng Zhang, Dazhi Cheng, Xizhou Zhu, Stephen Lin, Jifeng Dai:
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection. CoRR abs/1811.11167 (2018) - [i5]Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai:
Deformable ConvNets v2: More Deformable, Better Results. CoRR abs/1811.11168 (2018) - 2017
- [c2]Xizhou Zhu, Yuwen Xiong, Jifeng Dai
Deep Feature Flow for Video Recognition. CVPR 2017: 4141-4150 - [c1]Xizhou Zhu, Yujie Wang, Jifeng Dai
Flow-Guided Feature Aggregation for Video Object Detection. ICCV 2017: 408-417 - [i4]Xizhou Zhu, Yujie Wang
Flow-Guided Feature Aggregation for Video Object Detection. CoRR abs/1703.10025 (2017) - [i3]Xizhou Zhu, Jifeng Dai, Lu Yuan, Yichen Wei:
Towards High Performance Video Object Detection. CoRR abs/1711.11577 (2017) - 2016
- [j1]Mengchen Liu, Shixia Liu
An Uncertainty-Aware Approach for Exploratory Microblog Retrieval. IEEE Trans. Vis. Comput. Graph. 22(1): 250-259 (2016) - [i2]Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, Yichen Wei:
Deep Feature Flow for Video Recognition. CoRR abs/1611.07715 (2016) - 2015
- [i1]Mengchen Liu, Shixia Liu, Xizhou Zhu, Qinying Liao, Furu Wei, Shimei Pan:
An Uncertainty-Aware Approach for Exploratory Microblog Retrieval. CoRR abs/1512.04038 (2015)
Coauthor Index
[c32] [c31] [c30] [c29] [c28] [c27] [c26] [i57] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i44] [i43] [i42] [i41] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [c18] [c17] [c16] [c15] [c13] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [c12] [c11] [c10] [c9] [i20] [i19] [i18] [i17] [i16] [i15] [c7] [c6] [i13] [i12] [i11] [c5] [c4] [i10] [i9] [i8] [c3] [i7] [i6] [i5] [c2] [c1] [i4] [i3] [i2]
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last updated on 2024-12-11 20:41 CET by the dblp team
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