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Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection


Sep 06, 2021
Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu

* To appear at ICCV 2021 

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Voxel Transformer for 3D Object Detection


Sep 06, 2021
Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu

* To appear at ICCV 2021 

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Adversarial Robustness for Unsupervised Domain Adaptation


Sep 02, 2021
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li

* Accepted by ICCV 2021 

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MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving


Aug 27, 2021
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

* Accepted by ICCV 2021 

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G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation


Aug 20, 2021
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang

* Accepted by ICCV2021 

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Unbiased IoU for Spherical Image Object Detection


Aug 18, 2021
Qiang Zhao, Bin Chen, Hang Xu, Yike Ma, Xiaodong Li, Bailan Feng, Chenggang Yan, Feng Dai


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Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining


Aug 09, 2021
Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang


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NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models


Aug 07, 2021
Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li

* Accepted by ICCV 2021 

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AutoBERT-Zero: Evolving BERT Backbone from Scratch


Jul 15, 2021
Jiahui Gao, Hang Xu, Han shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

* 9 pages 

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SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving


Jun 22, 2021
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu


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One Million Scenes for Autonomous Driving: ONCE Dataset


Jun 21, 2021
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu


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Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation


May 27, 2021
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang

* Accepted by CVPR 2021 

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TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search


May 25, 2021
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li

* Published at CVPR 2021. 8 pages main paper, 13 pages in total 

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BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening


May 13, 2021
Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo

* 19 pages, 7 figures, 6 tables 

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Effective Sparsification of Neural Networks with Global Sparsity Constraint


May 03, 2021
Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang


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Unsupervised Pretraining for Object Detection by Patch Reidentification


Mar 08, 2021
Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia


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SparseBERT: Rethinking the Importance Analysis in Self-attention


Feb 25, 2021
Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok


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Segmenting Transparent Object in the Wild with Transformer


Feb 23, 2021
Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo

* Tech. Report 

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L2E: Learning to Exploit Your Opponent


Feb 18, 2021
Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing


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DetCo: Unsupervised Contrastive Learning for Object Detection


Feb 09, 2021
Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo


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Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search


Feb 09, 2021
Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li

* Accepted by ICLR2021 Poster 

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DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning


Feb 05, 2021
Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis


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Trans2Seg: Transparent Object Segmentation with Transformer


Jan 23, 2021
Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo

* Tech. Report 

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OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research


Dec 19, 2020
Kai Li, Hang Xu, Meng Zhang, Enmin Zhao, Zhe Wu, Junliang Xing, Kaiqi Huang


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Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation


Dec 07, 2020
Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang

* Accepted by AAAI2021 

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VEGA: Towards an End-to-End Configurable AutoML Pipeline


Nov 05, 2020
Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Xiaozhi Fang, Ning Kang, Lanqing Hong, Wei Zhang, Yong Li, Zhicheng Liu, Zhenguo Li, Wenzhi Liu, Tong Zhang

* AutoML pipeline. Code is open-sourced at https://github.com/huawei-noah/vega 

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