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TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation


Dec 02, 2021
Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin

* open sourced; codes and models available 

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Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search


Nov 26, 2021
Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Rong Jin


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Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice


Nov 24, 2021
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni Chan, Rong Jin


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Self-Supervised Pre-Training for Transformer-Based Person Re-Identification


Nov 23, 2021
Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin


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Achieving Human Parity on Visual Question Answering


Nov 19, 2021
Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Zhicheng Zhang, Qiyu Zhang, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin


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IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search


Oct 24, 2021
Niv Nayman, Yonathan Aflalo, Asaf Noy, Rong Jin, Lihi Zelnik-Manor


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Rethinking supervised pre-training for better downstream transferring


Oct 12, 2021
Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao


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CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation


Sep 13, 2021
Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin


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Scaled ReLU Matters for Training Vision Transformers


Sep 08, 2021
Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin


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ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning


Sep 05, 2021
Zhiwu Qing, Ziyuan Huang, Shiwei Zhang, Mingqian Tang, Changxin Gao, Marcelo H. Ang Jr, Rong Jin, Nong Sang

* 15 pages 

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Dash: Semi-Supervised Learning with Dynamic Thresholding


Sep 01, 2021
Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin

* ICML 2021 

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Graph Convolution for Re-ranking in Person Re-identification


Jul 05, 2021
Yuqi Zhang, Qian Qi, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin


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Effective Model Sparsification by Scheduled Grow-and-Prune Methods


Jun 18, 2021
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie


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KVT: k-NN Attention for Boosting Vision Transformers


May 28, 2021
Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Wen Xie, Hao Li, Rong Jin


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Unsupervised Visual Representation Learning by Online Constrained K-Means


May 24, 2021
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin


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Why Does Multi-Epoch Training Help?


May 13, 2021
Yi Xu, Qi Qian, Hao Li, Rong Jin


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On Stochastic Moving-Average Estimators for Non-Convex Optimization


Apr 30, 2021
Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang


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Learning Position and Target Consistency for Memory-based Video Object Segmentation


Apr 09, 2021
Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin


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A Theoretical Analysis of Learning with Noisily Labeled Data


Apr 08, 2021
Yi Xu, Qi Qian, Hao Li, Rong Jin


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Self-supervised Video Representation Learning by Context and Motion Decoupling


Apr 02, 2021
Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin

* Accepted by CVPR2021 

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Self-supervised Motion Learning from Static Images


Apr 01, 2021
Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo Ang

* To appear in CVPR 2021 

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CobBO: Coordinate Backoff Bayesian Optimization


Feb 16, 2021
Jian Tan, Niv Nayman, Mengchang Wang, Feifei Li, Rong Jin

* Jian Tan and Niv Nayman contributed equally. An implementation of CobBO is available at: https://github.com/Alibaba-MIIL/CobBO 

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Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning


Feb 09, 2021
Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin

* Accepted by AAAI2021 

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Large-Scale Training System for 100-Million Classification at Alibaba


Feb 09, 2021
Liuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin

* Accepted by KDD 2020. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (2020) 

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Visual Search at Alibaba


Feb 09, 2021
Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin

* KDD 2018: 993-1001 
* accepted by KDD 2018 

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Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance


Feb 09, 2021
Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin

* CIKM 2019: 2489-2497 
* accepted by CIKM 2019 

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Large-Scale Visual Search with Binary Distributed Graph at Alibaba


Feb 09, 2021
Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin

* This paper has been accepted by CIKM2019. Proceedings of the 28th ACM International Conference on Information and Knowledge Management. 2019 

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Large Scale Long-tailed Product Recognition System at Alibaba


Feb 09, 2021
Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin

* In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM20), 3353-3356 (2020) 
* Acccepted by CIKM 2020 

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A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks


Feb 08, 2021
Asaf Noy, Yi Xu, Yonathan Aflalo, Lihi Zelnik-Manor, Rong Jin


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