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09/09/2023
Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems
Fusing Radar and Lidar sensor data can fully utilize their complementary...
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08/23/2023
Enhancing cardiovascular risk prediction through AI-enabled calcium-omics
Background. Coronary artery calcium (CAC) is a powerful predictor of maj...
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08/18/2023
HumanLiff: Layer-wise 3D Human Generation with Diffusion Model
3D human generation from 2D images has achieved remarkable progress thro...
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06/27/2023
Cardiac CT perfusion imaging of pericoronary adipose tissue (PCAT) highlights potential confounds in coronary CTA
Features of pericoronary adipose tissue (PCAT) assessed from coronary co...
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04/22/2023
Self-supervised Learning by View Synthesis
We present view-synthesis autoencoders (VSA) in this paper, which is a s...
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03/29/2023
TriVol: Point Cloud Rendering via Triple Volumes
Existing learning-based methods for point cloud rendering adopt various ...
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03/29/2023
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
Synthesizing photo-realistic images from a point cloud is challenging be...
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03/20/2023
Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection
Neural implicit surface learning has shown significant progress in multi...
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03/13/2023
NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer
Neural radiance fields (NeRF) show great success in novel view synthesis...
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06/02/2022
EfficientNeRF: Efficient Neural Radiance Fields
Neural Radiance Fields (NeRF) has been wildly applied to various tasks f...
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04/20/2022
Human-Object Interaction Detection via Disentangled Transformer
Human-Object Interaction Detection tackles the problem of joint localiza...
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04/06/2022
MixFormer: Mixing Features across Windows and Dimensions
While local-window self-attention performs notably in vision tasks, it s...
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12/19/2021
HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars
We propose a novel neural rendering pipeline, Hybrid Volumetric-Textural...
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12/07/2021
GaTector: A Unified Framework for Gaze Object Prediction
Gaze object prediction (GOP) is a newly proposed task that aims to disco...
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11/24/2021
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images
We present EgoRenderer, a system for rendering full-body neural avatars ...
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07/28/2021
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation
Generating photo-realistic images from a text description is a challengi...
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04/11/2021
ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility
In response to the soaring needs of human mobility data, especially duri...
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03/04/2020
Multi-object Tracking via End-to-end Tracklet Searching and Ranking
Recent works in multiple object tracking use sequence model to calculate...
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12/22/2019
Learning to Generate Dense Point Clouds with Textures on Multiple Categories
3D reconstruction from images is a core problem in computer vision. With...
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11/28/2019
3D Shape Completion with Multi-view Consistent Inference
3D shape completion is important to enable machines to perceive the comp...
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09/27/2019
A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms
To solve the problem of inaccurate recognition of types of communication...
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08/02/2019
Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network
More powerful feature representations derived from deep neural networks ...
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07/26/2019
VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling
In this paper, we propose a novel way to interpret text information by e...
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05/12/2019
Note on Thompson sampling for large decision problems
There is increasing interest in using streaming data to inform decision ...
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04/17/2019
Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion
We propose a novel approach for 3D shape completion by synthesizing mult...
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01/26/2019
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
Data augmentation is usually adopted to increase the amount of training ...
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08/06/2018
Weakly Supervised Local Attention Network for Fine-Grained Visual Classification
In the fine-grained visual classification task, objects usually share si...
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03/18/2018
Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network
Cascaded Regression (CR) based methods have been proposed to solve facia...
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11/23/2017
EASM: Efficiency-Aware Switch Migration for Balancing Controller Loads in Software-Defined Networking
Distributed multi-controller deployment is a promising method to achieve...
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03/02/2015
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization
Olshausen and Field (OF) proposed that neural computations in the primar...
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03/02/2015
A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data
Neural network models of early sensory processing typically reduce the d...
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05/12/2014
A Neuron as a Signal Processing Device
A neuron is a basic physiological and computational unit of the brain. W...
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10/13/2012
Online computation of sparse representations of time varying stimuli using a biologically motivated neural network
Natural stimuli are highly redundant, possessing significant spatial and...
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10/04/2012
A network of spiking neurons for computing sparse representations in an energy efficient way
Computing sparse redundant representations is an important problem both ...
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10/01/2012
Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy
A central problem in neuroscience is reconstructing neuronal circuits on...
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10/01/2012