11 citations · 12 across the 3 of their papers we have counts for
4 papers
Robust Deep Multi-modal Learning Based on Gated Information Fusion Network
Jaekyum Kim, Junho Koh, Yecheol Kim +3
The goal of multi-modal learning is to use complimentary information on the relevant task provided by the multiple modalities to achieve reliable and robust performance. Recently,…
Detecting Temporally Consistent Objects in Videos through Object Class Label Propagation
Subarna Tripathi, Serge Belongie, Youngbae Hwang +1
Object proposals for detecting moving or static video objects need to address issues such as speed, memory complexity and temporal consistency. We propose an efficient Video Object…
Semantic Video Segmentation : Exploring Inference Efficiency
Subarna Tripathi, Serge Belongie, Youngbae Hwang +1
We explore the efficiency of the CRF inference beyond image level semantic segmentation and perform joint inference in video frames. The key idea is to combine best of two worlds:…
Improving Streaming Video Segmentation with Early and Mid-Level Visual Processing
Subarna Tripathi, Youngbae Hwang, Serge Belongie +1
Despite recent advances in video segmentation, many opportunities remain to improve it using a variety of low and mid-level visual cues. We propose improvements to the leading stre…