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08/02/2023
Digital Twin Brain: a simulation and assimilation platform for whole human brain
In this work, we present a computing platform named digital twin brain (...
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05/30/2023
Probabilistic Computation with Emerging Covariance: Towards Efficient Uncertainty Quantification
Building robust, interpretable, and secure artificial intelligence syste...
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05/23/2023
Toward spike-based stochastic neural computing
Inspired by the highly irregular spiking activity of cortical neurons, s...
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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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02/13/2023
Preconditioned Score-based Generative Models
Score-based generative models (SGMs) have recently emerged as a promisin...
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01/15/2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
In this work, we propose a novel complementary learning approach to enha...
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12/04/2022
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain
Segmenting the fine structure of the mouse brain on magnetic resonance (...
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08/24/2022
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network
The human brain can effortlessly recognize and localize objects, whereas...
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07/19/2022
Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective
Visual representation learning is the key of solving various vision prob...
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07/05/2022
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
Score-based generative models (SGMs) have recently emerged as a promisin...
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07/05/2022
Softmax-free Linear Transformers
Vision transformers (ViTs) have pushed the state-of-the-art for various ...
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06/08/2022
Accelerating Score-based Generative Models for High-Resolution Image Synthesis
Score-based generative models (SGMs) have recently emerged as a promisin...
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02/20/2022
Clustering by the Probability Distributions from Extreme Value Theory
Clustering is an essential task to unsupervised learning. It tries to au...
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12/28/2021
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection
Low-cost monocular 3D object detection plays a fundamental role in auton...
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12/03/2021
SGM3D: Stereo Guided Monocular 3D Object Detection
Monocular 3D object detection is a critical yet challenging task for aut...
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03/30/2021
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
The objective of this paper is to learn context- and depth-aware feature...
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02/05/2021
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
Gait is a unique biometric feature that can be recognized at a distance;...
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12/31/2020
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Most recent semantic segmentation methods adopt a fully-convolutional ne...
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06/08/2020
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection
Object detection from 3D point clouds remains a challenging task, though...
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03/01/2020
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
We propose a novel fast and robust 3D point clouds segmentation framewor...
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06/07/2019
Association Between Intelligence and Cortical Thickness in Adolescents: Evidence from the ABCD Study
The relationship between the intelligence and brain morphology is warmly...
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11/15/2018
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
As a unique biometric feature that can be recognized at a distance, gait...
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10/28/2017
