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Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation


Oct 15, 2021
Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia

* ICCV 2021 

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Semi-supervised Semantic Segmentation with Directional Context-aware Consistency


Jun 27, 2021
Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia

* Accepted to CVPR 2021. Code is available at https://github.com/dvlab-research/Context-Aware-Consistency 

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AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference


May 12, 2021
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu

* Accepted by DAC2021 

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Skimming and Scanning for Untrimmed Video Action Recognition


Apr 21, 2021
Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu


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SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud


Apr 20, 2021
Wu Zheng, Weiliang Tang, Li Jiang, Chi-Wing Fu

* Accepted by CVPR 2021 

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Bidirectional Projection Network for Cross Dimension Scene Understanding


Mar 26, 2021
Wenbo Hu, Hengshuang Zhao, Li Jiang, Jiaya Jia, Tien-Tsin Wong

* CVPR 2021 
* CVPR 2021 (Oral) 

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SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network


Mar 02, 2021
Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang

* 7 pages, 12 figures 

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PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection


Jan 31, 2021
Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li

* Code will be available at https://github.com/open-mmlab/OpenPCDet. arXiv admin note: text overlap with arXiv:1912.13192 

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Point Transformer


Dec 16, 2020
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip Torr, Vladlen Koltun


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CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud


Dec 05, 2020
Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu

* Accepted by the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 

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Generalized Few-Shot Semantic Segmentation


Oct 11, 2020
Zhuotao Tian, Xin Lai, Li Jiang, Michelle Shu, Hengshuang Zhao, Jiaya Jia

* 8 pages 

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PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation


Apr 03, 2020
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia

* CVPR 2020 

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Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions


Jan 20, 2020
Qi Yan, Li Jiang, Solmaz Kia


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PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection


Dec 31, 2019
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li


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Advances in Online Audio-Visual Meeting Transcription


Dec 10, 2019
Takuya Yoshioka, Igor Abramovski, Cem Aksoylar, Zhuo Chen, Moshe David, Dimitrios Dimitriadis, Yifan Gong, Ilya Gurvich, Xuedong Huang, Yan Huang, Aviv Hurvitz, Li Jiang, Sharon Koubi, Eyal Krupka, Ido Leichter, Changliang Liu, Partha Parthasarathy, Alon Vinnikov, Lingfeng Wu, Xiong Xiao, Wayne Xiong, Huaming Wang, Zhenghao Wang, Jun Zhang, Yong Zhao, Tianyan Zhou

* To appear in Proc. IEEE ASRU Workshop 2019 

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Measurement Scheduling for Cooperative Localization in Resource-constrained Conditions


Dec 10, 2019
Qi Yan, Li Jiang, Solmaz Kia


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Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation


Sep 23, 2019
Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia

* Accepted by ICCV 2019 

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An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM


Aug 29, 2019
Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang


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GAN-based method for cyber-intrusion detection


Apr 04, 2019
Hongyu Chen, Li Jiang


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Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators


Oct 19, 2018
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang

* Accepted by ICCAD 2018 

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AXNet: ApproXimate computing using an end-to-end trainable neural network


Jul 27, 2018
Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang

* Accepted by ICCAD 2018 

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Approximate Random Dropout


May 23, 2018
Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang

* 10 pages, 6 figures, conference 

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