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Token Sparsification for Faster Medical Image Segmentation


Mar 11, 2023
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

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* Accepted to IPMI'23. Code will be available here: https://github.com/cvlab-stonybrook/TokenSparse-for-MedSeg 

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Bokeh Rendering Based on Adaptive Depth Calibration Network


Feb 21, 2023
Lu Liu, Lei Zhou, Yuhan Dong

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* 6 pages, 6 figures 

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Cross-Modal Similarity-Based Curriculum Learning for Image Captioning


Dec 14, 2022
Hongkuan Zhang, Saku Sugawara, Akiko Aizawa, Lei Zhou, Ryohei Sasano, Koichi Takeda

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* EMNLP 2022 

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Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation


Nov 17, 2022
Lei Zhou

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* 5 pages 

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Learning swimming via deep reinforcement learning


Sep 22, 2022
Jin Zhang, Lei Zhou, Bochao Cao

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ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer


Aug 30, 2022
Hongkai Chen, Zixin Luo, Lei Zhou, Yurun Tian, Mingmin Zhen, Tian Fang, David Mckinnon, Yanghai Tsin, Long Quan

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* Accepted to ECCV2022, project page at https://aspanformer.github.io/ 

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Learning Prototype via Placeholder for Zero-shot Recognition


Jul 29, 2022
Zaiquan Yang, Yang Liu, Wenjia Xu, Chong Huang, Lei Zhou, Chao Tong

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* IJCAI2022 

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Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning


May 12, 2022
Yiwen Chen, Sheng Guo, Lei Zhou, Xian Yao Ng, Marcelo H. Ang Jr

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* 12 pages, 16 figures 

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PEGG-Net: Background Agnostic Pixel-Wise Efficient Grasp Generation Under Closed-Loop Conditions


Mar 30, 2022
Zhiyang Liu, Haozhe Wang, Lei Zhou, Huan Yin, Marcelo H Ang Jr

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* 8 pages, submitted RA-L/IROS 2022 

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Self Pre-training with Masked Autoencoders for Medical Image Analysis


Mar 10, 2022
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

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* Technical report, 12 pages, 4 figures 

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