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09/13/2023
AudioSR: Versatile Audio Super-resolution at Scale
Audio super-resolution is a fundamental task that predicts high-frequenc...
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09/10/2023
Super-Resolution Surface Reconstruction from Few Low-Resolution Slices
In many imaging applications where segmented features (e.g. blood vessel...
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08/06/2023
Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction
Proximal gradient-based optimization is one of the most common strategie...
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08/04/2023
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction
In deep learning research, many melody extraction models rely on redesig...
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08/04/2023
A Bi-variant Variational Model for Diffeomorphic Image Registration with Relaxed Jacobian Determinant Constraints
Diffeomorphic registration has become a powerful approach for seeking a ...
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08/03/2023
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies
Diffusion models have shown promising results in cross-modal generation ...
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06/05/2023
Fast and high-order approximation of parabolic equations using hierarchical direct solvers and implicit Runge-Kutta methods
A stable and high-order accurate solver for linear and nonlinear parabol...
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05/30/2023
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States
Mixup style data augmentation algorithms have been widely adopted in var...
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05/30/2023
Improving Deep Representation Learning via Auxiliary Learnable Target Coding
Deep representation learning is a subfield of machine learning that focu...
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05/18/2023
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose
Domain gap between synthetic and real data in visual regression (6D pose...
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05/11/2023
Universal Source Separation with Weakly Labelled Data
Universal source separation (USS) is a fundamental research task for com...
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04/21/2023
TC-GAT: Graph Attention Network for Temporal Causality Discovery
The present study explores the intricacies of causal relationship extrac...
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04/07/2023
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model
Image segmentation is a fundamental task in the field of imaging and vis...
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04/04/2023
Pac-HuBERT: Self-Supervised Music Source Separation via Primitive Auditory Clustering and Hidden-Unit BERT
In spite of the progress in music source separation research, the small ...
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03/23/2023
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition
To facilitate research in the direction of fine-tuning foundation models...
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03/20/2023
On the Maximal Independent Sets of k-mers with the Edit Distance
In computational biology, k-mers and edit distance are fundamental conce...
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02/18/2023
Closed-Loop Transcription via Convolutional Sparse Coding
Autoencoding has achieved great empirical success as a framework for lea...
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01/28/2023
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs
Deep neural networks (DNNs) have seen tremendous success in many fields ...
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11/12/2022
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation
Contrastive learning has shown remarkable success in the field of multim...
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10/28/2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning
Reinforcement learning (RL) often struggles to accomplish a sparse-rewar...
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09/29/2022
NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving
Detecting obstacles is crucial for safe and efficient autonomous driving...
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09/07/2022
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments
Choral music separation refers to the task of extracting tracks of voice...
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08/03/2022
Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization
Fine-grained visual classification can be addressed by deep representati...
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07/14/2022
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments
Existing approaches for generating multitrack music with transformer mod...
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06/07/2022
Locality-sensitive bucketing functions for the edit distance
Many bioinformatics applications involve bucketing a set of sequences wh...
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05/14/2022
A Unifying Multi-sampling-ratio CS-MRI Framework With Two-grid-cycle Correction and Geometric Prior Distillation
CS is an efficient method to accelerate the acquisition of MR images fro...
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05/07/2022
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation
The challenges of learning a robust 6D pose function lie in 1) severe oc...
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04/17/2022
Fast Multi-grid Methods for Minimizing Curvature Energy
The geometric high-order regularization methods such as mean curvature a...
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03/30/2022
Fine-Grained Object Classification via Self-Supervised Pose Alignment
Semantic patterns of fine-grained objects are determined by subtle appea...
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03/08/2022
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap
Semantic analyses of object point clouds are largely driven by releasing...
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02/02/2022
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music
Singing melody extraction is an important problem in the field of music ...
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02/02/2022
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
Audio classification is an important task of mapping audio samples into ...
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12/15/2021
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data
Deep learning techniques for separating audio into different sound sourc...
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12/01/2021
Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms
Variational segmentation algorithms require a prior imposed in the form ...
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11/25/2021
Low-rank approximation for multiscale PDEs
Historically, analysis for multiscale PDEs is largely unified while nume...
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11/14/2021
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
As a basic component of SE(3)-equivariant deep feature learning, steerab...
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08/20/2021
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds
The point cloud representation of an object can have a large geometric v...
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08/16/2021
Neural-to-Tree Policy Distillation with Policy Improvement Criterion
While deep reinforcement learning has achieved promising results in chal...
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06/19/2021
GLIB: Towards Automated Test Oracle for Graphically-Rich Applications
Graphically-rich applications such as games are ubiquitous with attracti...
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03/30/2021
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
The ability to understand the ways to interact with objects from visual ...
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01/18/2021
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach
Semantic segmentation of 3D point clouds relies on training deep models ...
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12/08/2020
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering
Unsupervised domain adaptation (UDA) is to learn classification models t...
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11/23/2020
LINDT: Tackling Negative Federated Learning with Local Adaptation
Federated Learning (FL) is a promising distributed learning paradigm, wh...
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10/29/2020
Learning Audio Embeddings with User Listening Data for Content-based Music Recommendation
Personalized recommendation on new track releases has always been a chal...
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10/19/2020
Nearly sharp structured sketching for constrained optimization
In this work, we study a tensor-structured random sketching matrix to pr...
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10/18/2020
Feature Importance Ranking for Deep Learning
Feature importance ranking has become a powerful tool for explainable AI...
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09/10/2020
CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling
Point set is arguably the most direct approximation of an object or scen...
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08/17/2020
POP909: A Pop-song Dataset for Music Arrangement Generation
Music arrangement generation is a subtask of automatic music generation,...
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08/05/2020
MusPy: A Toolkit for Symbolic Music Generation
In this paper, we present MusPy, an open source Python library for symbo...
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08/04/2020