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05/11/2023
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts
We present a sequence-to-sequence vision-language model whose parameters...
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03/03/2022
Towards Universal Backward-Compatible Representation Learning
Conventional model upgrades for visual search systems require offline re...
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01/24/2022
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval
The task of hot-refresh model upgrades of image retrieval systems plays ...
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08/06/2021
Printed Texts Tracking and Following for a Finger-Wearable Electro-Braille System Through Opto-electrotactile Feedback
This paper presents our recent development on a portable and refreshable...
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03/26/2020
Towards Backward-Compatible Representation Learning
We propose a way to learn visual features that are compatible with previ...
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09/21/2018
A Comparison of Various Approaches to Reinforcement Learning Algorithms for Multi-robot Box Pushing
In this paper, a comparison of reinforcement learning algorithms and the...
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08/05/2018
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association
Person re-identification is an important task that requires learning dis...
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07/30/2018
End-to-End Deep Kronecker-Product Matching for Person Re-identification
Person re-identification aims to robustly measure similarities between p...
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07/30/2018
Deep Group-shuffling Random Walk for Person Re-identification
Person re-identification aims at finding a person of interest in an imag...
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07/26/2018
Person Re-identification with Deep Similarity-Guided Graph Neural Network
The person re-identification task requires to robustly estimate visual s...
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08/13/2017