no code implementations • 12 Jul 2023 • Xuewei Wang, Qiang Jin, Shengyu Huang, Min Zhang, Xi Liu, Zhengli Zhao, Yukun Chen, Zhengyu Zhang, Jiyan Yang, Ellie Wen, Sagar Chordia, Wenlin Chen, Qin Huang
In order to pass better ads from the early to the final stage ranking, we propose a multi-task learning framework for early stage ranking to capture multiple final stage ranking components (i. e. ads clicks and ads quality events) and their task relations.
no code implementations • 29 Aug 2022 • Yuanhan Ni, Zulin Wang, Peng Yuan, Qin Huang
This paper considers an affine frequency division multiplexing (AFDM)-based integrated sensing and communications (ISAC) system, where the AFDM waveform is used to simultaneously carry communications information and sense targets.
1 code implementation • 22 Jul 2022 • Xiaohao Xu, Zihao Du, Huaxin Zhang, Ruichao Zhang, Zihan Hong, Qin Huang, Bin Han
To study the effectiveness of our optimization algorithm, a dataset for mechanical maintenance tasks using FMG armbands with 16 sensors is collected.
no code implementations • 13 Feb 2021 • Jianer Chen, Qin Huang, Iyad Kanj, Ge Xia
For the dynamic streaming model, we present a one-pass algorithm that, with high probability, computes a maximum-weight $k$-matching of a weighted graph in $\tilde{O}(Wk^2)$ space and that has $\tilde{O}(1)$ update time, where $W$ is the number of distinct edge weights and the notation $\tilde{O}()$ hides a poly-logarithmic factor in the input size.
Graph Matching Data Structures and Algorithms Computational Complexity
no code implementations • 4 Dec 2020 • Jianer Chen, Qin Huang, Iyad Kanj, Ge Xia
Both algorithms improve the running time of existing kernelization algorithms for Line Cover.
Computational Geometry Data Structures and Algorithms
no code implementations • 19 Dec 2018 • Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C. -C. Jay Kuo
Unsupervised video object segmentation is a crucial application in video analysis without knowing any prior information about the objects.
no code implementations • 13 Dec 2018 • Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee, C. -C. Jay Kuo
Experimental results on DAVIS and FBMS show that the proposed method outperforms state-of-the-art unsupervised segmentation methods on various benchmark datasets.
1 code implementation • 9 May 2018 • Yuhang Song, Chao Yang, Yeji Shen, Peng Wang, Qin Huang, C. -C. Jay Kuo
In this paper, we focus on image inpainting task, aiming at recovering the missing area of an incomplete image given the context information.
no code implementations • CVPR 2018 • Siyang Li, Bryan Seybold, Alexey Vorobyov, Alireza Fathi, Qin Huang, C. -C. Jay Kuo
We propose a method for unsupervised video object segmentation by transferring the knowledge encapsulated in image-based instance embedding networks.
no code implementations • 25 Nov 2017 • Siyang Li, Xiangxin Zhu, Qin Huang, Hao Xu, C. -C. Jay Kuo
When supervising an object detector with weakly labeled data, most existing approaches are prone to trapping in the discriminative object parts, e. g., finding the face of a cat instead of the full body, due to lacking the supervision on the extent of full objects.
no code implementations • ECCV 2018 • Yuhang Song, Chao Yang, Zhe Lin, Xiaofeng Liu, Qin Huang, Hao Li, C. -C. Jay Kuo
We study the task of image inpainting, which is to fill in the missing region of an incomplete image with plausible contents.
no code implementations • 3 Nov 2017 • Chi-Hao Wu, Qin Huang, Siyang Li, C. -C. Jay Kuo
Being inspired by child's learning experience - taught first and followed by observation and questioning, we investigate a critically supervised learning methodology for object detection in this work.
no code implementations • 20 Jul 2017 • Qin Huang, Chunyang Xia, Chi-Hao Wu, Siyang Li, Ye Wang, Yuhang Song, C. -C. Jay Kuo
Recent development in fully convolutional neural network enables efficient end-to-end learning of semantic segmentation.
Ranked #94 on Semantic Segmentation on NYU Depth v2
no code implementations • 31 Mar 2016 • Qin Huang, Chunyang Xia, Wenchao Zheng, Yuhang Song, Hao Xu, C. -C. Jay Kuo
Semantic segmentation is critical to image content understanding and object localization.