research
∙
08/28/2023
The USTC-NERCSLIP Systems for the CHiME-7 DASR Challenge
This technical report details our submission system to the CHiME-7 DASR ...
share
research
∙
06/27/2023
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation
Transducer is one of the mainstream frameworks for streaming speech reco...
research
∙
06/22/2023
Minimalist and High-Quality Panoramic Imaging with PSF-aware Transformers
High-quality panoramic images with a Field of View (FoV) of 360-degree a...
research
∙
04/17/2023
A Question-Answering Approach to Key Value Pair Extraction from Form-like Document Images
In this paper, we present a new question-answering (QA) based key-value ...
research
∙
04/16/2023
On modeling NP-Complete problems as polynomial-sized linear programs: Escaping/Side-stepping the "barriers"
In view of the extended formulations (EFs) developments (e.g. "Fiorini, ...
research
∙
03/21/2023
Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer
We present a new table structure recognition (TSR) approach, called TSRF...
research
∙
03/15/2023
Improving Fast Auto-Focus with Event Polarity
Fast and accurate auto-focus in adverse conditions remains an arduous ta...
research
∙
01/12/2023
Event-Based Frame Interpolation with Ad-hoc Deblurring
The performance of video frame interpolation is inherently correlated wi...
research
∙
12/23/2022
A Population-Aware Retrospective Regression to Detect Genome-Wide Variants with Sex Difference in Allele Frequency
Sex difference in allele frequency is an emerging topic that is critical...
research
∙
11/21/2022
Computational Optics Meet Domain Adaptation: Transferring Semantic Segmentation Beyond Aberrations
Semantic scene understanding with Minimalist Optical Systems (MOS) in mo...
research
∙
10/11/2022
Robust Human Matting via Semantic Guidance
Automatic human matting is highly desired for many real applications. We...
research
∙
08/09/2022
TSRFormer: Table Structure Recognition with Transformers
We present a new table structure recognition (TSR) approach, called TSRF...
research
∙
07/28/2022
Real Image Restoration via Structure-preserving Complementarity Attention
Since convolutional neural networks perform well in learning generalizab...
research
∙
07/20/2022
FaceFormer: Scale-aware Blind Face Restoration with Transformers
Blind face restoration usually encounters with diverse scale face inputs...
research
∙
07/19/2022
Emotion Recognition based on Multi-Task Learning Framework in the ABAW4 Challenge
This paper presents our submission to the Multi-Task Learning (MTL) Chal...
research
∙
06/13/2022
Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens
Panoramic Annular Lens (PAL), composed of few lenses, has great potentia...
research
∙
06/09/2022
Efficient Human Pose Estimation via 3D Event Point Cloud
Human Pose Estimation (HPE) based on RGB images has experienced a rapid ...
research
∙
05/04/2022
Rethinking Classifier and Adversarial Attack
Various defense models have been proposed to resist adversarial attack a...
research
∙
05/04/2022
CE-based white-box adversarial attacks will not work using super-fitting
Deep neural networks are widely used in various fields because of their ...
research
∙
04/04/2022
IMOT: General-Purpose, Fast and Robust Estimation for Spatial Perception Problems with Outliers
Spatial perception problems are the fundamental building blocks of robot...
research
∙
03/29/2022
Power and Sample Size Computation for Genetic Association Studies of Binary Traits: Accounting for Covariate Effects
Power and sample size computation plays an important role in the design ...
research
∙
03/19/2022
Measuring the severity of multi-collinearity in high dimensions
Multi-collinearity is a wide-spread phenomenon in modern statistical app...
research
∙
03/17/2022
Robust Table Detection and Structure Recognition from Heterogeneous Document Images
We introduce a new table detection and structure recognition approach na...
research
∙
11/30/2021
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring
Traditional frame-based cameras inevitably suffer from motion blur due t...
research
∙
11/08/2021
Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization
3D point cloud registration ranks among the most fundamental problems in...
research
∙
11/01/2021
TriVoC: Efficient Voting-based Consensus Maximization for Robust Point Cloud Registration with Extreme Outlier Ratios
Correspondence-based point cloud registration is a cornerstone in roboti...
research
∙
10/11/2021
DANIEL: A Fast and Robust Consensus Maximization Method for Point Cloud Registration with High Outlier Ratios
Correspondence-based point cloud registration is a cornerstone in geomet...
research
∙
07/06/2021
Separation Guided Speaker Diarization in Realistic Mismatched Conditions
We propose a separation guided speaker diarization (SGSD) approach by fu...
research
∙
06/08/2021
Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight
Vision Transformer (ViT) attains state-of-the-art performance in visual ...
research
∙
05/25/2021
ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents
Recent grid-based document representations like BERTgrid allow the simul...
research
∙
05/15/2021
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos
Aerial pixel-wise scene perception of the surrounding environment is an ...
research
∙
04/30/2021
ICOS: Efficient and Highly Robust Rotation Search and Point Cloud Registration with Correspondences
Rotation search and point cloud registration are two fundamental problem...
research
∙
04/19/2021
RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibility
Correspondence-based rotation search and point cloud registration are tw...
research
∙
03/19/2021
USTC-NELSLIP System Description for DIHARD-III Challenge
This system description describes our submission system to the Third DIH...
research
∙
03/07/2021
IRON: Invariant-based Highly Robust Point Cloud Registration
In this paper, we present IRON (Invariant-based global Robust estimation...
research
∙
12/03/2020
General Behaviour of P-Values Under the Null and Alternative
Hypothesis testing results often rely on simple, yet important assumptio...
research
∙
08/06/2020
A stable and adaptive polygenic signal detection method based on repeated sample splitting
Using polygenic risk score for trait association analyses and disease pr...
research
∙
07/14/2020
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection
One-class novelty detection is to identify anomalous instances that do n...
research
∙
04/22/2020
Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D
In evolutionary computation, different reproduction operators have vario...
research
∙
03/16/2020
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks
We introduce a new arbitrary-shaped text detection approach named ReLaTe...
research
∙
02/24/2020
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images
Semantic segmentation has made striking progress due to the success of d...
research
∙
12/02/2019
Speaker detection in the wild: Lessons learned from JSALT 2019
This paper presents the problems and solutions addressed at the JSALT wo...
research
∙
08/16/2019
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion
Currently, semantic segmentation shows remarkable efficiency and reliabi...
research
∙
04/30/2019
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data
Learning causal effects from observational data greatly benefits a varie...
research
∙
02/25/2019
Channel adversarial training for cross-channel text-independent speaker recognition
The conventional speaker recognition frameworks (e.g., the i-vector and ...
research
∙
02/10/2019
On modeling hard combinatorial optimization problems as linear programs: Refutations of the "unconditional impossibility" claims
There has been a series of developments in the recent literature (by ess...
research
∙
12/18/2018
Solving the Empirical Bayes Normal Means Problem with Correlated Noise
The Normal Means problem plays a fundamental role in many areas of moder...
research
∙
11/22/2018
Mask R-CNN with Pyramid Attention Network for Scene Text Detection
In this paper, we present a new Mask R-CNN based text detection approach...
research
∙
11/02/2018
Brawn and Brains: a Robust and Powerful approach to X-inclusive Whole-genome Association Studies
X-chromosome is often excluded from whole-genome association studies due...
research
∙
10/27/2018
