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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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07/06/2023
RecallM: An Architecture for Temporal Context Understanding and Question Answering
The ideal long-term memory mechanism for Large Language Model (LLM) base...
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01/15/2023
EENet: Learning to Early Exit for Adaptive Inference
Budgeted adaptive inference with early exits is an emerging technique to...
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12/19/2022
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
Knowledge graph (KG) link prediction aims to infer new facts based on ex...
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08/07/2022
Learning Omnidirectional Flow in 360-degree Video via Siamese Representation
Optical flow estimation in omnidirectional videos faces two significant ...
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12/02/2021
Neurosymbolic Systems of Perception Cognition: The Role of Attention
A cognitive architecture aimed at cumulative learning must provide the n...
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07/07/2021
Cross-View Exocentric to Egocentric Video Synthesis
Cross-view video synthesis task seeks to generate video sequences of one...
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02/11/2021
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice
This paper introduces a new metamodel-based knowledge representation tha...
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02/05/2021
Learning Audio-Visual Correlations from Variational Cross-Modal Generation
People can easily imagine the potential sound while seeing an event. Thi...
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10/15/2020
Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset
Recently, there has been a growing interest in wearable sensors which pr...
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08/28/2020
A Metamodel and Framework for AGI
Can artificial intelligence systems exhibit superhuman general intellige...
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02/08/2020
Exocentric to Egocentric Image Generation via Parallel Generative Adversarial Network
Cross-view image generation has been recently proposed to generate image...
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07/03/2019
Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation
Since we were babies, we intuitively develop the ability to correlate th...
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07/23/2018
Improving Deep Models of Person Re-identification for Cross-Dataset Usage
Person re-identification (Re-ID) is the task of matching humans across c...
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07/18/2018
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning
Cross-dataset transfer learning is an important problem in person re-ide...
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06/14/2018
