1 code implementation • ICML 2020 • Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng
Network quantization is essential for deploying deep models to IoT devices due to the high efficiency, no matter on special hardware like TPU or general hardware like CPU and GPU.
no code implementations • 22 May 2022 • Yincen Qu, Ningyu Zhang, Hui Chen, Zelin Dai, Zezhong Xu, Chengming Wang, Xiaoyu Wang, Qiang Chen, Huajun Chen
In addition to formulating the new task, we also release a new Benchmark dataset of Salience Evaluation in E-commerce (BSEE) and hope to promote related research on commonsense knowledge salience evaluation.
no code implementations • 7 May 2022 • Mingchao Li, Kun Huang, Zetian Zhang, Xiao Ma, Qiang Chen
This continuous process allows us to recommend high-quality vessel segmentation with clear caliber and topology.
no code implementations • 29 Apr 2022 • Kaixiong Gong, Shuang Li, Shugang Li, Rui Zhang, Chi Harold Liu, Qiang Chen
We implement the findings and the alignment modules into our adaptation method, and it benchmarks the DETR-style detector on the domain shift settings.
1 code implementation • 6 Apr 2022 • Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang
We propose MixFormer to find a solution.
no code implementations • 16 Dec 2021 • Wen Zhang, Shumin Deng, Mingyang Chen, Liang Wang, Qiang Chen, Feiyu Xiong, Xiangwen Liu, Huajun Chen
We first identity three important desiderata for e-commerce KG systems: 1) attentive reasoning, reasoning over a few target relations of more concerns instead of all; 2) explanation, providing explanations for a prediction to help both users and business operators understand why the prediction is made; 3) transferable rules, generating reusable rules to accelerate the deployment of a KG to new systems.
no code implementations • 26 Oct 2021 • Mingchao Li, Yerui Chen, Weiwei Zhang, Qiang Chen
Optical coherence tomography angiography (OCTA) is a novel non-invasive imaging modality that allows micron-level resolution to visualize the retinal microvasculature.
no code implementations • 16 Oct 2021 • Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng
In light of this missing, we propose the very first framework that employs neural architecture search to automatic model design for private deep learning, dubbed as DPNAS.
no code implementations • 12 Oct 2021 • Weixiang Xu, Qiang Chen, Xiangyu He, Peisong Wang, Jian Cheng
Binary Neural Networks (BNNs) rely on a real-valued auxiliary variable W to help binary training.
no code implementations • ICLR 2022 • Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L Goldman, William Ulrich, Daniel R Weinberger, Archana Venkataraman
In parallel, our imaging network projects multimodal data onto a set of latent embeddings.
1 code implementation • 7 Apr 2021 • Xing Lan, Qinghao Hu, Qiang Chen, Jian Xue, Jian Cheng
In particular, our HIH reaches 4. 08 NME (Normalized Mean Error) on WFLW, and 3. 21 on COFW, which exceeds previous methods by a significant margin.
Ranked #2 on
Face Alignment
on COFW
4 code implementations • CVPR 2021 • Qiang Chen, Yingming Wang, Tong Yang, Xiangyu Zhang, Jian Cheng, Jian Sun
From the perspective of optimization, we introduce an alternative way to address the problem instead of adopting the complex feature pyramids - {\em utilizing only one-level feature for detection}.
Ranked #113 on
Object Detection
on COCO test-dev
no code implementations • 18 Feb 2021 • Qiang Chen, Krzysztof Nalewajko, Bhupendra Mishra
Using particle-in-cell (PIC) numerical simulations with electron-positron pair plasma, we study how the efficiencies of magnetic dissipation and particle acceleration scale with the initial coherence length $\lambda_0$ in relation to the system size $L$ of the two-dimensional (2D) `Arnold-Beltrami-Childress' (ABC) magnetic field configurations.
High Energy Astrophysical Phenomena Plasma Physics
no code implementations • 27 Jan 2021 • Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen F. Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
We propose a novel deep neural network architecture to integrate imaging and genetics data, as guided by diagnosis, that provides interpretable biomarkers.
1 code implementation • 14 Dec 2020 • Mingchao Li, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu, Qiang Chen
In this work, we propose image projection network V2 (IPN-V2), extending IPN by adding a plane perceptron to enhance the perceptron ability in the horizontal direction.
no code implementations • 1 Jan 2020 • Ping Zhou, Shuo Huang, Qiang Chen, Siyuan He, Guochao Cai
Finally, the stress distribution and the residual wrinkles of forehead skin were employed to evaluate the surgical effect.
1 code implementation • 13 Nov 2019 • Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng
Many successful learning targets such as minimizing dice loss and cross-entropy loss have enabled unprecedented breakthroughs in segmentation tasks.
Ranked #27 on
Semantic Segmentation
on PASCAL Context
1 code implementation • 19 Oct 2019 • Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng
Object location is fundamental to panoptic segmentation as it is related to all things and stuff in the image scene.
Ranked #14 on
Panoptic Segmentation
on COCO test-dev
1 code implementation • IJCNLP 2019 • Mingyang Chen, Wen Zhang, Wei zhang, Qiang Chen, Huajun Chen
Link prediction is an important way to complete knowledge graphs (KGs), while embedding-based methods, effective for link prediction in KGs, perform poorly on relations that only have a few associative triples.
1 code implementation • 23 Jul 2019 • Xiangyu He, Ke Cheng, Qiang Chen, Qinghao Hu, Peisong Wang, Jian Cheng
Long-range dependencies modeling, widely used in capturing spatiotemporal correlation, has shown to be effective in CNN dominated computer vision tasks.
Ranked #178 on
Object Detection
on COCO test-dev
no code implementations • 26 Nov 2017 • Qiang Chen, Yunhong Wang, Zheng Liu, Qingjie Liu, Di Huang
In this paper, we develop a novel convolutional neural network based approach to extract and aggregate useful information from gait silhouette sequence images instead of simply representing the gait process by averaging silhouette images.
no code implementations • ICCV 2017 • Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang, Xiaohui Shen, Zhe Lin, Qiang Chen, Shuicheng Yan, Jiashi Feng
Thus, they suffer from heterogeneous object scales caused by perspective projection of cameras on actual scenes and inevitably encounter parsing failures on distant objects as well as other boundary and recognition errors.
no code implementations • 27 Sep 2016 • Chong Peng, Zhao Kang, Qiang Chen
Our method can be used as a light-weight, scalable tool for RPCA in the absence of the precise value of the true rank.
no code implementations • 3 Jul 2015 • Zhao Kang, Chong Peng, Jie Cheng, Qiang Chen
Most of the recent studies use the nuclear norm as a convex surrogate of the rank operator.
no code implementations • CVPR 2015 • Qiang Chen, Junshi Huang, Rogerio Feris, Lisa M. Brown, Jian Dong, Shuicheng Yan
We address the problem of describing people based on fine-grained clothing attributes.
no code implementations • ICCV 2015 • Junshi Huang, Rogerio S. Feris, Qiang Chen, Shuicheng Yan
To address this problem, we propose a Dual Attribute-aware Ranking Network (DARN) for retrieval feature learning.
no code implementations • CVPR 2014 • Jian Dong, Qiang Chen, Xiaohui Shen, Jianchao Yang, Shuicheng Yan
We study the problem of human body configuration analysis, more specifically, human parsing and human pose estimation.
17 code implementations • 16 Dec 2013 • Min Lin, Qiang Chen, Shuicheng Yan
With enhanced local modeling via the micro network, we are able to utilize global average pooling over feature maps in the classification layer, which is easier to interpret and less prone to overfitting than traditional fully connected layers.
Ranked #32 on
Image Classification
on SVHN
no code implementations • CVPR 2013 • Qiang Chen, Zheng Song, Rogerio Feris, Ankur Datta, Liangliang Cao, Zhongyang Huang, Shuicheng Yan
In recent years, efficiency of large-scale object detection has arisen as an important topic due to the exponential growth in the size of benchmark object detection datasets.
no code implementations • CVPR 2013 • Jian Dong, Wei Xia, Qiang Chen, Jianshi Feng, Zhongyang Huang, Shuicheng Yan
In this paper, we introduce a subcategory-aware object classification framework to boost category level object classification performance.