Yu Liu

Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation

This paper tackles the problem of video object segmentation. We are spec...
09/28/2019 ∙ by Yu Liu, et al. ∙ 29 ∙ share

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Temporal Interlacing Network

For a long time, the vision community tries to learn the spatio-temporal...
01/17/2020 ∙ by Hao Shao, et al. ∙ 17 ∙ share

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Depth Based Semantic Scene Completion with Position Importance Aware Loss

Semantic Scene Completion (SSC) refers to the task of inferring the 3D s...
01/29/2020 ∙ by Yu Liu, et al. ∙ 14 ∙ share

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Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes

As the post-processing step for object detection, non-maximum suppressio...
01/12/2019 ∙ by Yu Liu, et al. ∙ 12 ∙ share

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Exploiting temporal consistency for real-time video depth estimation

Accuracy of depth estimation from static images has been significantly i...
08/10/2019 ∙ by Haokui Zhang, et al. ∙ 12 ∙ share

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Knowledge Distillation via Route Constrained Optimization

Distillation-based learning boosts the performance of the miniaturized n...
04/19/2019 ∙ by Xiao Jin, et al. ∙ 8 ∙ share

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In defense of OSVOS

As a milestone for video object segmentation, one-shot video object segm...
08/19/2019 ∙ by Yu Liu, et al. ∙ 7 ∙ share

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Gradient Information Guided Deraining with A Novel Network and Adversarial Training

In recent years, deep learning based methods have made significant progr...
10/09/2019 ∙ by Yinglong Wang, et al. ∙ 7 ∙ share

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Top-1 Solution of Multi-Moments in Time Challenge 2019

In this technical report, we briefly introduce the solutions of our team...
03/12/2020 ∙ by Manyuan Zhang, et al. ∙ 7 ∙ share

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1st Place Solutions for OpenImage2019 – Object Detection and Instance Segmentation

This article introduces the solutions of the two champion teams, `MMfrui...
03/17/2020 ∙ by Yu Liu, et al. ∙ 7 ∙ share

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KPNet: Towards Minimal Face Detector

The small receptive field and capacity of minimal neural networks limit ...
03/17/2020 ∙ by Guanglu Song, et al. ∙ 7 ∙ share

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Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

Talking face generation aims to synthesize a sequence of face images tha...
07/20/2018 ∙ by Hang Zhou, et al. ∙ 6 ∙ share

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From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation

Many important classification problems, such as object classification, s...
06/06/2019 ∙ by Yu Liu, et al. ∙ 3 ∙ share

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Exploring Disentangled Feature Representation Beyond Face Identification

This paper proposes learning disentangled but complementary face feature...
04/10/2018 ∙ by Yu Liu, et al. ∙ 2 ∙ share

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Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection

The key factor of scene change detection is to learn effective feature t...
10/22/2018 ∙ by Enqiang Guo, et al. ∙ 2 ∙ share

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Towards Flops-constrained Face Recognition

Large scale face recognition is challenging especially when the computat...
09/02/2019 ∙ by Yu Liu, et al. ∙ 1 ∙ share

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Region-based Quality Estimation Network for Large-scale Person Re-identification

One of the major restrictions on the performance of video-based person r...
11/23/2017 ∙ by Guanglu Song, et al. ∙ 0 ∙ share

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Transferable Semi-supervised Semantic Segmentation

The performance of deep learning based semantic segmentation models heav...
11/18/2017 ∙ by Huaxin Xiao, et al. ∙ 0 ∙ share

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Rethinking Feature Discrimination and Polymerization for Large-scale Recognition

Feature matters. How to train a deep network to acquire discriminative f...
10/02/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection

In this paper, we propose a zoom-out-and-in network for generating objec...
09/13/2017 ∙ by Hongyang Li, et al. ∙ 0 ∙ share

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MLBench: How Good Are Machine Learning Clouds for Binary Classification Tasks on Structured Data?

We conduct an empirical study of machine learning functionalities provid...
07/29/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Recurrent Scale Approximation for Object Detection in CNN

Since convolutional neural network (CNN) lacks an inherent mechanism to ...
07/29/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Scale-Aware Face Detection

Convolutional neural network (CNN) based face detectors are inefficient ...
06/29/2017 ∙ by Zekun Hao, et al. ∙ 0 ∙ share

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Quality Aware Network for Set to Set Recognition

This paper targets on the problem of set to set recognition, which learn...
04/11/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Combinatorial Multi-Armed Bandit with General Reward Functions

In this paper, we study the stochastic combinatorial multi-armed bandit ...
10/20/2016 ∙ by Wei Chen, et al. ∙ 0 ∙ share

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Learning Deep Features via Congenerous Cosine Loss for Person Recognition

Person recognition aims at recognizing the same identity across time and...
02/22/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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On the Exploration of Convolutional Fusion Networks for Visual Recognition

Despite recent advances in multi-scale deep representations, their limit...
11/16/2016 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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POI: Multiple Object Tracking with High Performance Detection and Appearance Feature

Detection and learning based appearance feature play the central role in...
10/19/2016 ∙ by Fengwei Yu, et al. ∙ 0 ∙ share

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Crafting GBD-Net for Object Detection

The visual cues from multiple support regions of different sizes and res...
10/08/2016 ∙ by Xingyu Zeng, et al. ∙ 0 ∙ share

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Storytelling of Photo Stream with Bidirectional Multi-thread Recurrent Neural Network

Visual storytelling aims to generate human-level narrative language (i.e...
06/02/2016 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network

A novel Bayesian modulation classification scheme is proposed for a sing...
08/04/2014 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor

This paper considers the estimation of large precision matrices. We focu...
12/27/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Device-to-Device Communications Enabled Energy Efficient Multicast Scheduling in mmWave Small Cells

To keep pace with the rapid growth of mobile traffic demands, dense depl...
12/14/2017 ∙ by Yong Niu, et al. ∙ 0 ∙ share

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ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs

Single-source and top-k SimRank queries are two important types of simil...
09/20/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy

Fully convolutional neural network (FCN) has been dominating the game of...
04/14/2018 ∙ by Guanglu Song, et al. ∙ 0 ∙ share

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Joint Recursive Beam and Channel Tracking for 2-dimensional Phased Antenna Arrays

Millimeter wave (mmWave) is an attractive candidate for high-speed wirel...
04/16/2018 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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PAD-Net: A Perception-Aided Single Image Dehazing Network

In this work, we investigate the possibility of replacing the ℓ_2 loss w...
05/08/2018 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Improved Techniques for Learning to Dehaze and Beyond: A Collective Study

This paper reviews the collective endeavors by the team of authors in ex...
06/30/2018 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Joint Beam and Channel Tracking for Two-dimensional Phased Antenna Arrays

Millimeter wave (mmWave) is an attractive candidate for high-speed mobil...
06/26/2018 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Super Fast Beam and Channel Tracking in 2D Phased Antenna Arrays

Millimeter wave (mmWave) is an attractive candidate for high-speed mobil...
06/26/2018 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network

Knowledge Graph Embedding (KGE) aims to represent entities and relations...
08/11/2018 ∙ by Kai Wang, et al. ∙ 0 ∙ share

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Modelling Irregular Spatial Patterns using Graph Convolutional Neural Networks

The understanding of geographical reality is a process of data represent...
08/15/2018 ∙ by Di Zhu, et al. ∙ 0 ∙ share

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Wave analysis in one dimensional structures with a wavelet finite element model and precise integration method

Numerical simulation of ultrasonic wave propagation provides an efficien...
12/05/2017 ∙ by Shuaifang Zhang, et al. ∙ 0 ∙ share

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Gradient Harmonized Single-stage Detector

Despite the great success of two-stage detectors, single-stage detector ...
11/13/2018 ∙ by Buyu Li, et al. ∙ 0 ∙ share

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Crack detection in beam structures with a novel Laplace based Wavelet Finite Element method

Beam structure is one of the most widely used structures in mechanical e...
12/18/2017 ∙ by Shuaifang Zhang, et al. ∙ 0 ∙ share

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How far from automatically interpreting deep learning

In recent years, deep learning researchers have focused on how to find t...
11/19/2018 ∙ by Jinwei Zhao, et al. ∙ 0 ∙ share

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How to improve the interpretability of kernel learning

In recent years, machine learning researchers have focused on methods to...
11/21/2018 ∙ by Jinwei Zhao, et al. ∙ 0 ∙ share

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RGB-D Based Action Recognition with Light-weight 3D Convolutional Networks

Different from RGB videos, depth data in RGB-D videos provide key comple...
11/24/2018 ∙ by Haokui Zhang, et al. ∙ 0 ∙ share

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Mobility-aware Caching Scheduling for Fog Computing in mmWave Band

As an extension of cloud computing, fog computing at the edge of network...
11/05/2018 ∙ by Yong Niu, et al. ∙ 0 ∙ share

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RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

RGB images differentiate from depth images as they carry more details ab...
03/02/2019 ∙ by Jie Li, et al. ∙ 0 ∙ share

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Yu Liu

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