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07/20/2022
Facial Affect Analysis: Learning from Synthetic Data Multi-Task Learning Challenges
Facial affect analysis remains a challenging task with its setting trans...
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04/01/2021
The surprising impact of mask-head architecture on novel class segmentation
Instance segmentation models today are very accurate when trained on lar...
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03/24/2021
Low-Resource Machine Translation for Low-Resource Languages: Leveraging Comparable Data, Code-Switching and Compute Resources
We conduct an empirical study of unsupervised neural machine translation...
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12/19/2018
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation
Unsupervised video object segmentation is a crucial application in video...
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12/13/2018
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation
One major technique debt in video object segmentation is to label the ob...
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10/05/2018
Interpretable Convolutional Neural Networks via Feedforward Design
The model parameters of convolutional neural networks (CNNs) are determi...
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01/03/2018
Instance Embedding Transfer to Unsupervised Video Object Segmentation
We propose a method for unsupervised video object segmentation by transf...
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11/25/2017
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection
When supervising an object detector with weakly labeled data, most exist...
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11/03/2017
A Taught-Obesrve-Ask (TOA) Method for Object Detection with Critical Supervision
Being inspired by child's learning experience - taught first and followe...
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07/20/2017