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08/31/2023
Coarse-to-Fine Amodal Segmentation with Shape Prior
Amodal object segmentation is a challenging task that involves segmentin...
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08/19/2023
Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos
This work focuses on the 3D reconstruction of non-rigid objects based on...
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08/09/2023
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models
Music generation has attracted growing interest with the advancement of ...
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05/25/2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Score distillation sampling (SDS) has shown great promise in text-to-3D ...
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05/19/2023
A Unified Prompt-Guided In-Context Inpainting Framework for Reference-based Image Manipulations
Recent advancements in Text-to-Image (T2I) generative models have yielde...
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05/14/2023
SongDriver2: Real-time Emotion-based Music Arrangement with Soft Transition
Real-time emotion-based music arrangement, which aims to transform a giv...
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04/21/2023
AMP in the wild: Learning robust, agile, natural legged locomotion skills
The successful transfer of a learned controller from simulation to the r...
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03/28/2023
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
Face recognition is a prevailing authentication solution in numerous bio...
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03/26/2023
Semantic Neural Decoding via Cross-Modal Generation
Semantic neural decoding aims to elucidate the cognitive processes of th...
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03/25/2023
Compacting Binary Neural Networks by Sparse Kernel Selection
Binary Neural Network (BNN) represents convolution weights with 1-bit va...
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03/20/2023
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
3D object detection is an important task in autonomous driving to percei...
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02/22/2023
Entity-Level Text-Guided Image Manipulation
Existing text-guided image manipulation methods aim to modify the appear...
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01/02/2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels
A noisy training set usually leads to the degradation of the generalizat...
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10/04/2022
Bridged Transformer for Vision and Point Cloud 3D Object Detection
3D object detection is a crucial research topic in computer vision, whic...
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09/13/2022
SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias
Real-time music accompaniment generation has a wide range of application...
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07/17/2022
A Simple Test-Time Method for Out-of-Distribution Detection
Neural networks are known to produce over-confident predictions on input...
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04/19/2022
Multimodal Token Fusion for Vision Transformers
Many adaptations of transformers have emerged to address the single-moda...
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03/15/2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels
Noisy training set usually leads to the degradation of generalization an...
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02/22/2022
Sound Adversarial Audio-Visual Navigation
Audio-visual navigation task requires an agent to find a sound source in...
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12/04/2021
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction
Multimodal fusion and multitask learning are two vital topics in machine...
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10/18/2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks
In the low-bit quantization field, training Binary Neural Networks (BNNs...
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08/11/2021
Elastic Tactile Simulation Towards Tactile-Visual Perception
Tactile sensing plays an important role in robotic perception and manipu...
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08/11/2021
Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion
We propose a compact and effective framework to fuse multimodal features...
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11/30/2020
Blind signal decomposition of various word embeddings based on join and individual variance explained
In recent years, natural language processing (NLP) has become one of the...
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11/23/2020
Elastic Interaction of Particles for Robotic Tactile Simulation
Tactile sensing plays an important role in robotic perception and manipu...
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11/10/2020
Deep Multimodal Fusion by Channel Exchanging
Deep multimodal fusion by using multiple sources of data for classificat...
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08/19/2020
LOCUS: A Novel Decomposition Method for Brain Network Connectivity Matrices using Low-rank Structure with Uniform Sparsity
Network-oriented research has been increasingly popular in many scientif...
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07/19/2020
Resolution Switchable Networks for Runtime Efficient Image Recognition
We propose a general method to train a single convolutional neural netwo...
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07/15/2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning
Deep learning based models have excelled in many computer vision task an...
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03/26/2020
Instance Credibility Inference for Few-Shot Learning
Few-shot learning (FSL) aims to recognize new objects with extremely lim...
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11/03/2019
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
Improving the performance of click-through rate (CTR) prediction remains...
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06/17/2019
Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks using Big Data Population Priors
Large brain imaging databases contain a wealth of information on brain o...
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08/07/2018
A Bayesian Downscaler Model to Estimate Daily PM2.5 levels in the Continental US
There has been growing interest in extending the coverage of ground PM2....
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08/05/2018
A hierarchical independent component analysis model for longitudinal Neuroimaging studies
In recent years, longitudinal neuroimaging study has become increasingly...
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03/20/2018
HINT: A Hierarchical Independent Component Analysis Toolbox for Neuroimaging
The modular behavior of the human brain is commonly investigated using i...
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03/20/2018
HINT: A Toolbox for Hierarchical Modeling of Neuroimaging Data
The modular behavior of the human brain is commonly investigated using i...
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01/24/2018