40 citations · 113 across the 12 of their papers we have counts for
12 papers
Towards Balanced Active Learning for Multimodal Classification
Meng Shen, Yizheng Huang, Jianxiong Yin +3
Training multimodal networks requires a vast amount of data due to their larger parameter space compared to unimodal networks. Active learning is a widely used technique for reduci…
UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning
Heqing Zou, Meng Shen, Chen Chen +3
Multimodal learning aims to imitate human beings to acquire complementary information from multiple modalities for various downstream tasks. However, traditional aggregation-based…
Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
Heqing Zou, Yuke Si, Chen Chen +2
Speech Emotion Recognition (SER) aims to help the machine to understand human's subjective emotion from only audio information. However, extracting and utilizing comprehensive in-d…
Are object detection assessment criteria ready for maritime computer vision?
Dilip K. Prasad, Huixu Dong, Deepu Rajan +1
Maritime vessels equipped with visible and infrared cameras can complement other conventional sensors for object detection. However, application of computer vision techniques in ma…
A learning-based approach for automatic image and video colorization
Raj Kumar Gupta, Alex Yong-Sang Chia, Deepu Rajan +1
In this paper, we present a color transfer algorithm to colorize a broad range of gray images without any user intervention. The algorithm uses a machine learning-based approach to…
L1-regularized Reconstruction Error as Alpha Matte
Jubin Johnson, Hisham Cholakkal, Deepu Rajan
Sampling-based alpha matting methods have traditionally followed the compositing equation to estimate the alpha value at a pixel from a pair of foreground (F) and background (B) sa…