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Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types


Oct 11, 2021
Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Zhiqiang Shen, Eric P Xing, Yanyan Lan


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How Do Adam and Training Strategies Help BNNs Optimization?


Jun 21, 2021
Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng

* ICML 2021. Code and models are available at https://github.com/liuzechun/AdamBNN 

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COTR: Convolution in Transformer Network for End to End Polyp Detection


May 23, 2021
Zhiqiang Shen, Chaonan Lin, Shaohua Zheng


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"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization


Apr 16, 2021
Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang


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Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study


Apr 01, 2021
Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides

* ICLR 2021. Project page: http://zhiqiangshen.com/projects/LS_and_KD/index.html 

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Unsupervised Disentanglement of Linear-Encoded Facial Semantics


Mar 30, 2021
Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides

* Accepted in IEEE Conference on Computer Vision and Pattern Recognition 2021 (CVPR2021) 

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Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection


Mar 19, 2021
Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides

* CVPR 2021 

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Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation


Feb 22, 2021
Shaohua Zheng, Zhiqiang Shen, Chenhao Peia, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan, Bin Zheng, Liqin Huang

* 11 pages, 8 figures 

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S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration


Feb 17, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides

* Technical report, 10 pages. Self-supervised binary neural networks using distillation loss (5.5~15% improvement over contrastive baseline) 

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Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning


Feb 08, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng

* AAAI 2021. A search based fine-tuning strategy for few-shot learning 

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Conditional Link Prediction of Category-Implicit Keypoint Detection


Nov 29, 2020
Ellen Yi-Ge, Rui Fan, Zechun Liu, Zhiqiang Shen

* WACV 2021 paper 

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Online Ensemble Model Compression using Knowledge Distillation


Nov 15, 2020
Devesh Walawalkar, Zhiqiang Shen, Marios Savvides


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MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks


Sep 17, 2020
Zhiqiang Shen, Marios Savvides

* A short technical report. Code and pre-trained models are available at: https://github.com/szq0214/MEAL-V2 

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Channel-wise Alignment for Adaptive Object Detection


Sep 07, 2020
Hang Yang, Shan Jiang, Xinge Zhu, Mingyang Huang, Zhiqiang Shen, Chunxiao Liu, Jianping Shi

* First two authors contributed equally 

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Cross-Supervised Object Detection


Jun 29, 2020
Zitian Chen, Zhiqiang Shen, Jiahui Yu, Erik Learned-Miller


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Joint Multi-Dimension Pruning


May 18, 2020
Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Zhe Li, Yichen Wei, Kwang-Ting Cheng, Jian Sun


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Binarizing MobileNet via Evolution-based Searching


May 15, 2020
Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen

* Accepted by CVPR2020 

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Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification


Apr 05, 2020
Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides


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Rethinking Image Mixture for Unsupervised Visual Representation Learning


Mar 11, 2020
Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell


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ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions


Mar 07, 2020
Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng


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Solving Missing-Annotation Object Detection with Background Recalibration Loss


Feb 12, 2020
Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides

* 5 pages. Paper has been accepted by ICASSP 2020 for presentation in a lecture (oral) session 

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Soft Anchor-Point Object Detection


Nov 27, 2019
Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides


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SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses


Nov 21, 2019
Zhiqiang Shen, Harsh Maheshwari, Weichen Yao, Marios Savvides


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Transferable Recognition-Aware Image Processing


Oct 21, 2019
Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell


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Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement


Aug 22, 2019
Zhiqiang Shen, Zhankui He, Wanyun Cui, Jiahui Yu, Yutong Zheng, Chenchen Zhu, Marios Savvides

* This is an extended version of our previous conference paper arXiv:1812.02425 

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MoBiNet: A Mobile Binary Network for Image Classification


Jul 31, 2019
Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen


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