Search Results for author:
Found 28 papers, 14 papers with code
VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving Zero-Shot Voice Editing
We present VoiceShop, a novel speech-to-speech framework that can modify multiple attributes of speech, such as age, gender, accent, and speech style, in a single forward pass while preserving the input speaker's timbre.
DisGNet: A Distance Graph Neural Network for Forward Kinematics Learning of Gough-Stewart Platform
As executed on a GPU, our two-stage method can ensure the requirement for real-time computation.
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
Here we introduce Boundary-Embedded Neural Operators (BENO), a novel neural operator architecture that embeds the complex geometries and inhomogeneous boundary values into the solving of elliptic PDEs.
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments
As a fundamental task of vision-based perception, 3D occupancy prediction reconstructs 3D structures of surrounding environments.
Hybrid quantum-classical convolutional neural network for phytoplankton classification
The taxonomic composition and abundance of phytoplankton, having direct impact on marine ecosystem dynamic and global environment change, are listed as essential ocean variables.
Quantum Recurrent Neural Networks for Sequential Learning
Quantum neural network (QNN) is one of the promising directions where the near-term noisy intermediate-scale quantum (NISQ) devices could find advantageous applications against classical resources.
Zero-Shot Accent Conversion using Pseudo Siamese Disentanglement Network
The goal of accent conversion (AC) is to convert the accent of speech into the target accent while preserving the content and speaker identity.
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
Membership Inference Attacks (MIAs) infer whether a data point is in the training data of a machine learning model.
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance
In this paper, we propose to use intermediate bottleneck features (IBFs) to replace PPGs.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks
Even in those scenarios, our label-only MIA achieves a better attack performance in most cases.
SRCN3D: Sparse R-CNN 3D for Compact Convolutional Multi-View 3D Object Detection and Tracking
Our novel sparse feature sampling module only utilizes local 2D region of interest (RoI) features calculated by the projection of 3D query boxes for further box refinement, leading to a fully-convolutional and deployment-friendly pipeline.
Ranked #8 on
Robust Camera Only 3D Object Detection
on nuScenes-C
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review
Owing to the rapid development of sensor technology, hyperspectral (HS) remote sensing (RS) imaging has provided a significant amount of spatial and spectral information for the observation and analysis of the Earth's surface at a distance of data acquisition devices, such as aircraft, spacecraft, and satellite.
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review
With the extremely rapid advances in remote sensing (RS) technology, a great quantity of Earth observation (EO) data featuring considerable and complicated heterogeneity is readily available nowadays, which renders researchers an opportunity to tackle current geoscience applications in a fresh way.
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
In this paper, we propose the LiDAR Distillation to bridge the domain gap induced by different LiDAR beams for 3D object detection.
SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking
Joint detection and embedding (JDE) based methods usually estimate bounding boxes and embedding features of objects with a single network in Multi-Object Tracking (MOT).
Ranked #12 on
Multi-Object Tracking
on MOT20
(using extra training data)
A Structure Feature Algorithm for Multi-modal Forearm Registration
Augmented reality technology based on image registration is becoming increasingly popular for the convenience of pre-surgery preparation and medical education.
Bitcoin Transaction Strategy Construction Based on Deep Reinforcement Learning
Then an automatically-generating transaction strategy is constructed building on PPO with LSTM as the basis to construct the policy.
MT-ORL: Multi-Task Occlusion Relationship Learning
Retrieving occlusion relation among objects in a single image is challenging due to sparsity of boundaries in image.
Binary Complex Neural Network Acceleration on FPGA
Deep complex networks (DCN), in contrast, can learn from complex data, but have high computational costs; therefore, they cannot satisfy the instant decision-making requirements of many deployable systems dealing with short observations or short signal bursts.
DeepI2P: Image-to-Point Cloud Registration via Deep Classification
This paper presents DeepI2P: a novel approach for cross-modality registration between an image and a point cloud.
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis
In this paper, we propose MINE to perform novel view synthesis and depth estimation via dense 3D reconstruction from a single image.
A Global to Local Double Embedding Method for Multi-person Pose Estimation
Both of the two types of methods involve two stages, namely, person detection and joints detection.
Interaction via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing
In this work, we treat each respective region in an image as a whole, and capture the structure topology as well as the affinity among different regions.
TemporalTeller at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection with Temporal Referencing
This paper describes our TemporalTeller system for SemEval Task 1: Unsupervised Lexical Semantic Change Detection.
Discrete Rotation Equivariance for Point Cloud Recognition
In this paper, we propose a deep learning architecture that achieves discrete $\mathbf{SO}(2)$/$\mathbf{SO}(3)$ rotation equivariance for point cloud recognition.
USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds
In this paper, we propose the USIP detector: an Unsupervised Stable Interest Point detector that can detect highly repeatable and accurately localized keypoints from 3D point clouds under arbitrary transformations without the need for any ground truth training data.
Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion
Driven by applications like Micro Aerial Vehicles (MAVs), driver-less cars, etc, localization solution has become an active research topic in the past decade.
Robotics
SO-Net: Self-Organizing Network for Point Cloud Analysis
This paper presents SO-Net, a permutation invariant architecture for deep learning with orderless point clouds.
Ranked #3 on
3D Part Segmentation
on IntrA
