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08/06/2023
Learning Fine-Grained Features for Pixel-wise Video Correspondences
Video analysis tasks rely heavily on identifying the pixels from differe...
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08/04/2023
DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field
Estimating 6D poses and reconstructing 3D shapes of objects in open-worl...
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07/22/2023
On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement
Several recent studies advocate the use of spectral discriminators, whic...
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07/11/2023
Offline and Online Optical Flow Enhancement for Deep Video Compression
Video compression relies heavily on exploiting the temporal redundancy b...
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06/19/2023
LVVC: A Learned Versatile Video Coding Framework for Efficient Human-Machine Vision
Almost all digital videos are coded into compact representations before ...
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06/07/2023
A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip Arthroplasty
Total hip arthroplasty (THA) is a widely used surgical procedure in orth...
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06/07/2023
Transfer Learning for General M-estimators with Decomposable Regularizers in High-dimensions
To incorporate useful information from related statistical tasks into th...
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06/05/2023
Robust Statistical Inference for Large-dimensional Matrix-valued Time Series via Iterative Huber Regression
Matrix factor model is drawing growing attention for simultaneous two-wa...
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06/01/2023
Towards Interactive Image Inpainting via Sketch Refinement
One tough problem of image inpainting is to restore complex structures i...
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05/22/2023
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment
Source-free Unsupervised Domain Adaptation (SF-UDA) aims to adapt a well...
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05/19/2023
Late-Constraint Diffusion Guidance for Controllable Image Synthesis
Diffusion models, either with or without text condition, have demonstrat...
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04/26/2023
Customized Segment Anything Model for Medical Image Segmentation
We propose SAMed, a general solution for medical image segmentation. Dif...
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04/11/2023
MRVM-NeRF: Mask-Based Pretraining for Neural Radiance Fields
Most Neural Radiance Fields (NeRFs) have poor generalization ability, li...
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03/06/2023
Huber Principal Component Analysis for Large-dimensional Factor Models
Factor models have been widely used in economics and finance. However, t...
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03/05/2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
During industrial processing, unforeseen defects may arise in products d...
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01/24/2023
Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting
Transformers have been widely used for video processing owing to the mul...
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09/16/2022
Spatial-then-Temporal Self-Supervised Learning for Video Correspondence
Learning temporal correspondence from unlabeled videos is of vital impor...
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08/26/2022
Multiple-Objective Packet Routing Optimization for Aeronautical ad-hoc Networks
Providing Internet service above the clouds is of ever-increasing intere...
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08/14/2022
Flow-Guided Transformer for Video Inpainting
We propose a flow-guided transformer, which innovatively leverage the mo...
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05/31/2022
Local discontinuous Galerkin method for the Backward Feynman-Kac Equation
Anomalous diffusions are ubiquitous in nature, whose functional distribu...
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05/08/2022
Recurrent Dynamic Embedding for Video Object Segmentation
Space-time memory (STM) based video object segmentation (VOS) networks u...
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03/17/2022
Neural Compression-Based Feature Learning for Video Restoration
How to efficiently utilize the temporal features is crucial, yet challen...
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03/11/2022
aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform
Volumetric image compression has become an urgent task to effectively tr...
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02/03/2022
Retinal Vessel Segmentation with Pixel-wise Adaptive Filters
Accurate retinal vessel segmentation is challenging because of the compl...
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01/11/2022
Motion-Focused Contrastive Learning of Video Representations
Motion, as the most distinct phenomenon in a video to involve the change...
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12/01/2021
Attribute Artifacts Removal for Geometry-based Point Cloud Compression
Geometry-based point cloud compression (G-PCC) can achieve remarkable co...
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11/27/2021
Temporal Context Mining for Learned Video Compression
We address end-to-end learned video compression with a special focus on ...
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10/28/2021
Deep Reinforcement Learning Aided Packet-Routing For Aeronautical Ad-Hoc Networks Formed by Passenger Planes
Data packet routing in aeronautical ad-hoc networks (AANETs) is challeng...
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10/28/2021
Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization
Data packet routing in aeronautical ad-hoc networks (AANETs) is challeng...
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10/28/2021
Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping Data
Current maritime communications mainly rely on satellites having meager ...
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10/09/2021
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-variate fMRI Data
Graphical models play an important role in neuroscience studies, particu...
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09/18/2021
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform
With the rapid development of whole brain imaging technology, a large nu...
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09/13/2021
Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
This paper studies the task of estimating the 3D human poses of multiple...
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08/01/2021
CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise
Low-light images captured in the real world are inevitably corrupted by ...
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07/01/2021
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability
In pursuit of explainability, we develop generative models for sequentia...
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06/07/2021
Joint Learning of Multiple Differential Networks with fMRI data for Brain Connectivity Alteration Detection
In this study we focus on the problem of joint learning of multiple diff...
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05/11/2021
Component Edge Connectivity of Hypercube-like Networks
As a generalization of the traditional connectivity, the g-component edg...
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05/07/2021
Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
Although existing person re-identification (Re-ID) methods have shown im...
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03/31/2021
Simultaneous Navigation and Construction Benchmarking Environments
We need intelligent robots for mobile construction, the process of navig...
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03/18/2021
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
Given an incomplete image without additional constraint, image inpaintin...
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02/24/2021
Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting
The capability of image semantic segmentation may be deteriorated due to...
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02/15/2021
Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows
We test the robustness of a maximum-likelihood (ML) based classifier whe...
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12/14/2020
An efficient Quasi-Newton method for nonlinear inverse problems via learned singular values
Solving complex optimization problems in engineering and the physical sc...
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10/16/2020
Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Passenger-Planes in the North-Atlantic Region
Relying on multi-hop communication techniques, aeronautical ad hoc netwo...
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08/19/2020
Learning Trailer Moments in Full-Length Movies
A movie's key moments stand out of the screenplay to grab an audience's ...
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07/28/2020
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
The dominant speech separation models are based on complex recurrent or ...
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07/11/2020
Graph Neural Networks for Massive MIMO Detection
In this paper, we innovately use graph neural networks (GNNs) to learn a...
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06/28/2020
Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates
The typical bottom-up human pose estimation framework includes two stage...
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06/27/2020
α Belief Propagation for Approximate Inference
Belief propagation (BP) algorithm is a widely used message-passing metho...
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06/21/2020