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Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework


Dec 09, 2021
Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai


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Searching Parameterized AP Loss for Object Detection


Dec 09, 2021
Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai

* Accepted by NeurIPS 2021 

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VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition


Dec 09, 2021
Changyao Tian, Wenhai Wang, Xizhou Zhu, Xiaogang Wang, Jifeng Dai, Yu Qiao

* Technical report; 14 pages, 9 figures 

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Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks


Dec 02, 2021
Xizhou Zhu, Jinguo Zhu, Hao Li, Xiaoshi Wu, Xiaogang Wang, Hongsheng Li, Xiaohua Wang, Jifeng Dai


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Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling


Nov 15, 2021
Renrui Zhang, Rongyao Fang, Wei Zhang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, Hongsheng Li

* preprints 

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FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting


Sep 07, 2021
Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li

* To appear at ICCV 2021 

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Influence Selection for Active Learning


Aug 20, 2021
Zhuoming Liu, Hao Ding, Huaping Zhong, Weijia Li, Jifeng Dai, Conghui He

* ICCV2021 accepted paper 

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Fast Convergence of DETR with Spatially Modulated Co-Attention


Aug 05, 2021
Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li

* Accepted by ICCV2021 

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Collaborative Visual Navigation


Jul 20, 2021
Haiyang Wang, Wenguan Wang, Xizhou Zhu, Jifeng Dai, Liwei Wang


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Scalable Transformers for Neural Machine Translation


Jun 18, 2021
Peng Gao, Shijie Geng, Yu Qiao, Xiaogang Wang, Jifeng Dai, Hongsheng Li

* Mostly overlapping with version 1, with minor updates/revisions 

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Decoupled Spatial-Temporal Transformer for Video Inpainting


Apr 14, 2021
Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li


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AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks


Mar 25, 2021
Hao Li, Tianwen Fu, Jifeng Dai, Hongsheng Li, Gao Huang, Xizhou Zhu


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Exploring Cross-Image Pixel Contrast for Semantic Segmentation


Feb 11, 2021
Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool

* Our code will be available at https://github.com/tfzhou/ContrastiveSeg 

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Unsupervised Object Detection with LiDAR Clues


Nov 27, 2020
Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu


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Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation


Oct 15, 2020
Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai


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Deformable DETR: Deformable Transformers for End-to-End Object Detection


Oct 08, 2020
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai


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1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask


Sep 03, 2020
Jingru Tan, Gang Zhang, Hanming Deng, Changbao Wang, Lewei Lu, Quanquan Li, Jifeng Dai

* Winner of LVIS challenge 2020 

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Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation


Jul 08, 2020
Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool

* Full version of ECCV2020 Oral, CVPR2020 LID workshop Best Paper and LID challenge Track1 winner; website: https://github.com/GuoleiSun/MCIS_wsss 

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Resolution Adaptive Networks for Efficient Inference


Mar 24, 2020
Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang

* CVPR 2020 

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