Search Results for author: Xinyu Liu

Found 16 papers, 7 papers with code

Towards Robust Adaptive Object Detection under Noisy Annotations

1 code implementation6 Apr 2022 Xinyu Liu, Wuyang Li, Qiushi Yang, Baopu Li, Yixuan Yuan

Domain Adaptive Object Detection (DAOD) models a joint distribution of images and labels from an annotated source domain and learns a domain-invariant transformation to estimate the target labels with the given target domain images.

Object Detection

SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection

1 code implementation12 Mar 2022 Wuyang Li, Xinyu Liu, Yixuan Yuan

To overcome these challenges, we propose a novel SemantIc-complete Graph MAtching (SIGMA) framework for DAOD, which completes mismatched semantics and reformulates the adaptation with graph matching.

Graph Matching Object Detection

Neural Architecture Searching for Facial Attributes-based Depression Recognition

no code implementations24 Jan 2022 Mingzhe Chen, Xi Xiao, Bin Zhang, Xinyu Liu, Runiu Lu

In this paper, we propose to extend Neural Architecture Search (NAS) technique for designing an optimal model for multiple facial attributes-based depression recognition, which can be efficiently and robustly implemented in a small dataset.

Neural Architecture Search Time Series

Exploring Gradient Flow Based Saliency for DNN Model Compression

1 code implementation24 Oct 2021 Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan

Model pruning aims to reduce the deep neural network (DNN) model size or computational overhead.

Image Classification Image Denoising +1

Generalizing to New Domains by Mapping Natural Language to Lifted LTL

no code implementations11 Oct 2021 Eric Hsiung, Hiloni Mehta, Junchi Chu, Xinyu Liu, Roma Patel, Stefanie Tellex, George Konidaris

We compare our method of mapping natural language task specifications to intermediate contextual queries against state-of-the-art CopyNet models capable of translating natural language to LTL, by evaluating whether correct LTL for manipulation and navigation task specifications can be output, and show that our method outperforms the CopyNet model on unseen object references.

3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image

no code implementations8 Jul 2021 Haibo Qi, YuHan Wang, Xinyu Liu

In this paper, a 3D-RegNet-based neural network is proposed for diagnosing the physical condition of patients with coronavirus (Covid-19) infection.

COVID-19 Diagnosis

Showing Your Work Doesn't Always Work

1 code implementation ACL 2020 Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yao-Liang Yu, Jimmy Lin

In natural language processing, a recently popular line of work explores how to best report the experimental results of neural networks.

Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology

no code implementations22 Mar 2020 Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen

With the aim of providing a comprehensive overview for researchers who are interested in developing a deep-learning-based analysis system for power lines inspection data, this paper conducts a thorough review of the current literature and identifies the challenges for future research.

Small Object Detection

TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks

1 code implementation22 Mar 2020 Xinyu Liu, Xiaoguang Di

Lightweight or mobile neural networks used for real-time computer vision tasks contain fewer parameters than normal networks, which lead to a constrained performance.

Image Classification

Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs

1 code implementation5 Nov 2019 Zhiqiang Cai, Jingshuang Chen, Min Liu, Xinyu Liu

This paper studies an unsupervised deep learning-based numerical approach for solving partial differential equations (PDEs).

Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory

no code implementations31 Jan 2019 Ya Li, Xinyu Liu, Dan Liu, Xueqiang Zhang, Junhua Liu

Recent years has witnessed dramatic progress of neural machine translation (NMT), however, the method of manually guiding the translation procedure remains to be better explored.

Machine Translation Translation

Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data

no code implementations1 Nov 2018 Hao Li, Yang Wang, Xinyu Liu, Zhichao Sheng, Si Wei

We propose a nested recurrent neural network (nested RNN) model for English spelling error correction and generate pseudo data based on phonetic similarity to train it.

Feature Engineering

Dex-Net 3.0: Computing Robust Robot Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning

no code implementations19 Sep 2017 Jeffrey Mahler, Matthew Matl, Xinyu Liu, Albert Li, David Gealy, Ken Goldberg

Vacuum-based end effectors are widely used in industry and are often preferred over parallel-jaw and multifinger grippers due to their ability to lift objects with a single point of contact.


Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

no code implementations27 Mar 2017 Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, Ken Goldberg

To reduce data collection time for deep learning of robust robotic grasp plans, we explore training from a synthetic dataset of 6. 7 million point clouds, grasps, and analytic grasp metrics generated from thousands of 3D models from Dex-Net 1. 0 in randomized poses on a table.


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