b'Liu Liu'

research

∙ 07/25/2022

Balancing Stability and Plasticity through Advanced Null Space in Continual Learning

Continual learning is a learning paradigm that learns tasks sequentially...

Yajing Kong, et al. ∙

research

∙ 07/24/2022

Online Continual Learning with Contrastive Vision Transformer

Online continual learning (online CL) studies the problem of learning se...

Zhen Wang, et al. ∙

research

∙ 07/23/2022

Learning Object Placement via Dual-path Graph Completion

Object placement aims to place a foreground object over a background ima...

Siyuan Zhou, et al. ∙

research

∙ 03/29/2022

OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction

Learning how humans manipulate objects requires machines to acquire know...

Lixin Yang, et al. ∙

research

∙ 03/26/2022

Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching

We address the problem of ground-to-satellite image geo-localization, th...

Yujiao Shi, et al. ∙

research

∙ 03/22/2022

Exploring High-Order Structure for Robust Graph Structure Learning

Recent studies show that Graph Neural Networks (GNNs) are vulnerable to ...

Guangqian Yang, et al. ∙

research

∙ 03/17/2022

Gaussian initializations help deep variational quantum circuits escape from the barren plateau

Variational quantum circuits have been widely employed in quantum simula...

Kaining Zhang, et al. ∙

research

∙ 02/28/2022

Dynamic N:M Fine-grained Structured Sparse Attention Mechanism

Transformers are becoming the mainstream solutions for various tasks lik...

Zhaodong Chen, et al. ∙

research

∙ 02/17/2022

AKB-48: A Real-World Articulated Object Knowledge Base

Human life is populated with articulated objects. A comprehensive unders...

Liu Liu, et al. ∙

research

∙ 01/29/2022

Robust Imitation Learning from Corrupted Demonstrations

We consider offline Imitation Learning from corrupted demonstrations whe...

Liu Liu, et al. ∙

research

∙ 01/18/2022

Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation

Scene Graph Generation (SGG) aims to build a structured representation o...

Chao Chen, et al. ∙

research

∙ 12/24/2021

iSeg3D: An Interactive 3D Shape Segmentation Tool

A large-scale dataset is essential for learning good features in 3D shap...

Sucheng Qian, et al. ∙

research

∙ 12/22/2021

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks

Over-smoothing is a challenging problem, which degrades the performance ...

Weigang Lu, et al. ∙

research

∙ 12/17/2021

Transcribing Natural Languages for The Deaf via Neural Editing Programs

This work studies the task of glossification, of which the aim is to em ...

Dongxu Li, et al. ∙

research

∙ 12/14/2021

OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval

Articulated objects are pervasive in daily life. However, due to the int...

Han Xue, et al. ∙

research

∙ 12/02/2021

Multi-fidelity methods for uncertainty propagation in kinetic equations

The construction of efficient methods for uncertainty quantification in ...

Giacomo Dimarco, et al. ∙

research

∙ 10/27/2021

Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties

Uncertainty in data is certainly one of the main problems in epidemiolog...

Giulia Bertaglia, et al. ∙

research

∙ 10/21/2021

Transformer Acceleration with Dynamic Sparse Attention

Transformers are the mainstream of NLP applications and are becoming inc...

Liu Liu, et al. ∙

research

∙ 07/20/2021

A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs

In this paper, we consider the development of efficient numerical method...

Liu Liu, et al. ∙

research

∙ 07/07/2021

Multi-modal Affect Analysis using standardized data within subjects in the Wild

Human affective recognition is an important factor in human-computer int...

Sachihiro Youoku, et al. ∙

research

∙ 07/05/2021

OPA: Object Placement Assessment Dataset

Image composition aims to generate realistic composite image by insertin...

Liu Liu, et al. ∙

research

∙ 06/28/2021

Making Images Real Again: A Comprehensive Survey on Deep Image Composition

As a common image editing operation, image composition aims to cut the f...

Li Niu, et al. ∙

research

∙ 05/07/2021

Towards Real-World Category-level Articulation Pose Estimation

Human life is populated with articulated objects. Current Category-level...

Liu Liu, et al. ∙

research

∙ 04/16/2021

Finite Difference Nets: A Deep Recurrent Framework for Solving Evolution PDEs

There has been an arising trend of adopting deep learning methods to stu...

Cheng Chang, et al. ∙

research

∙ 02/18/2021

Solving the linear transport equation by a deep neural network approach

In this paper, we study the linear transport model by adopting the deep ...

Zheng Chen, et al. ∙

research

∙ 01/19/2021

CAA : Channelized Axial Attention for Semantic Segmentation

Self-attention and channel attention, modelling the semantic interdepend...

Ye Huang, et al. ∙

research

∙ 12/28/2020

SPINS: Structure Priors aided Inertial Navigation System

Although Simultaneous Localization and Mapping (SLAM) has been an active...

Yang Lyu, et al. ∙

research

∙ 12/02/2020

PlueckerNet: Learn to Register 3D Line Reconstructions

Aligning two partially-overlapped 3D line reconstructions in Euclidean s...

Liu Liu, et al. ∙

research

∙ 10/16/2020

On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration

Imitation learning from observation (LfO) is more preferable than imitat...

Zhihao Cheng, et al. ∙

research

∙ 09/23/2020

LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning

End-to-end convolution representation learning has been proved to be ver...

Ziqiang Shi, et al. ∙

research

∙ 09/19/2020

Weak-shot Fine-grained Classification via Similarity Transfer

Recognizing fine-grained categories remains a challenging task, due to t...

Junjie Chen, et al. ∙

research

∙ 07/29/2020

Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization

Blind Perspective-n-Point (PnP) is the problem of estimating the positio...

Dylan Campbell, et al. ∙

research

∙ 07/07/2020

Robust Structured Statistical Estimation via Conditional Gradient Type Methods

Structured statistical estimation problems are often solved by Condition...

Jiacheng Zhuo, et al. ∙

research

∙ 06/16/2020

Robust compressed sensing of generative models

The goal of compressed sensing is to estimate a high dimensional vector ...

Ajil Jalal, et al. ∙

research

∙ 06/02/2020

Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution

Despite the remarkable progresses made in deep-learning based depth map ...

Xibin Song, et al. ∙

research

∙ 04/24/2020

Computation on Sparse Neural Networks: an Inspiration for Future Hardware

Neural network models are widely used in solving many challenging proble...

Fei Sun, et al. ∙

research

∙ 03/15/2020

Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem

Conventional absolute camera pose via a Perspective-n-Point (PnP) solver...

Liu Liu, et al. ∙

research

∙ 02/13/2020

Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training

In this paper, we propose a method called Hodge and Podge for sound even...

Ziqiang Shi, et al. ∙

research

∙ 11/27/2019

Deep Image Harmonization via Domain Verification

Image composition is an important operation in image processing, but the...

Wenyan Cong, et al. ∙

research

∙ 10/20/2019

Error estimate of a bi-fidelity method for kinetic equations with random parameters and multiple scales

In this paper, we conduct uniform error estimates of the bi-fidelity met...

Irene M. Gamba, et al. ∙

research

∙ 09/18/2019

Encoding Selection for Solving Hamiltonian Cycle Problems with ASP

It is common for search and optimization problems to have alternative eq...

Liu Liu, et al. ∙

research

∙ 09/17/2019

Quantum algorithm for finding the negative curvature direction in non-convex optimization

We present an efficient quantum algorithm aiming to find the negative cu...

Kaining Zhang, et al. ∙

research

∙ 09/11/2019

NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network

Denoising extreme low light images is a challenging task due to the high...

Hao Guan, et al. ∙

research

∙ 08/28/2019

Image Harmonization Datasets: HCOCO, HAdobe5k, HFlickr, and Hday2night

Image composition is an important operation in image processing, but the...

Wenyan Cong, et al. ∙

research

∙ 07/17/2019

HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods

In this paper, we present a method called HODGEPODGE[1] for large-scale ...

Ziqiang Shi, et al. ∙

research

∙ 07/11/2019

Optimal Feature Transport for Cross-View Image Geo-Localization

This paper addresses the problem of cross-view image based localization,...

Yujiao Shi, et al. ∙

research

∙ 03/29/2019

Lending Orientation to Neural Networks for Cross-view Geo-localization

This paper studies image-based geo-localization (IBL) problem using grou...

Liu Liu, et al. ∙

research

∙ 02/12/2019

FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks

Deep dilated temporal convolutional networks (TCN) have been proved to b...

Ziqiang Shi, et al. ∙

research

∙ 02/02/2019

FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation

Deep gated convolutional networks have been proved to be very effective ...

Ziqiang Shi, et al. ∙

research

∙ 02/02/2019

Is CQT more suitable for monaural speech separation than STFT? an empirical study

Short-time Fourier transform (STFT) is used as the front end of many pop...

Ziqiang Shi, et al. ∙

Liu Liu

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