- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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
- Hao Tian, Yuntao Chen, Jifeng Dai
, Zhaoxiang Zhang, Xizhou Zhu:
Unsupervised Object Detection With LIDAR Clues. CVPR 2021: 5962-5972 - Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai:
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. ICLR 2021 - Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai:
Deformable DETR: Deformable Transformers for End-to-End Object Detection. ICLR 2021 - Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai:
Searching Parameterized AP Loss for Object Detection. NeurIPS 2021: 22021-22033 - 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) - Haiyang Wang, Wenguan Wang, Xizhou Zhu, Jifeng Dai, Liwei Wang:
Collaborative Visual Navigation. CoRR abs/2107.01151 (2021) - 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) - 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) - Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai:
Searching Parameterized AP Loss for Object Detection. CoRR abs/2112.05138 (2021) - 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
- Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. ECCV (1) 2020: 531-548 - Hang Gao, Xizhou Zhu, Stephen Lin, Jifeng Dai:
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. ICLR 2020 - 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 - Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. CoRR abs/2003.08866 (2020) - 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) - 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) - Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu:
Unsupervised Object Detection with LiDAR Clues. CoRR abs/2011.12953 (2020) - 2019
- Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai
:
Deformable ConvNets V2: More Deformable, Better Results. CVPR 2019: 9308-9316 - Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai
:
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. ICCV 2019: 6687-6696 - 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) - 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)