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09/15/2023
AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT
Towards flexible object-centric visual perception, we propose a one-shot...
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07/20/2023
Ethosight: A Reasoning-Guided Iterative Learning System for Nuanced Perception based on Joint-Embedding Contextual Label Affinity
Traditional computer vision models often require extensive manual effort...
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06/01/2023
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift
Continual learning (CL) is an important technique to allow artificial ne...
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04/13/2023
Emergence of Symbols in Neural Networks for Semantic Understanding and Communication
The capacity to generate meaningful symbols and effectively employ them ...
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04/05/2023
Adaptive Data Augmentation for Contrastive Learning
In computer vision, contrastive learning is the most advanced unsupervis...
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04/05/2023
Per-RMAP: Feasibility-Seeking and Superiorization Methods for Floorplanning with I/O Assignment
The feasibility-seeking approach provides a systematic scheme to manage ...
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03/09/2023
TQ-Net: Mixed Contrastive Representation Learning For Heterogeneous Test Questions
Recently, more and more people study online for the convenience of acces...
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01/12/2023
Effective Decision Boundary Learning for Class Incremental Learning
Rehearsal approaches in class incremental learning (CIL) suffer from dec...
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04/03/2022
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster
Most AI projects start with a Python notebook running on a single laptop...
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06/08/2021
Spline Smoothing of 3D Geometric Data
Over the past two decades, we have seen an increased demand for 3D visua...
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06/02/2021
Multivariate Spline Estimation and Inference for Image-On-Scalar Regression
Motivated by recent data analyses in biomedical imaging studies, we cons...
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04/12/2021
Intra-Class Uncertainty Loss Function for Classification
Most classification models can be considered as the process of matching ...
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10/30/2020
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
Research and development of electroencephalogram (EEG) based brain-compu...
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06/02/2020
Comparing and Integrating US COVID-19 Daily Data from Multiple Sources: A County-Level Dataset with Local Characteristics
Over the past several months, the outbreak of COVID-19 has been expandin...
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04/29/2020
Spatiotemporal Dynamics, Nowcasting and Forecasting of COVID-19 in the United States
In response to the ongoing public health emergency of COVID-19, we inves...
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08/08/2019
Progressive Relation Learning for Group Activity Recognition
Group activities usually involve spatio-temporal dynamics among many int...
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11/10/2018
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention
Benefiting from its succinctness and robustness, skeleton-based human ac...
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09/29/2018