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20122021
most citedEdge-labeling Graph Neural Network for Few-shot Learning

30 citations · 96 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CV2021

Structured Co-reference Graph Attention for Video-grounded Dialogue

Junyeong Kim, Sunjae Yoon, Dahyun Kim +1

A video-grounded dialogue system referred to as the Structured Co-reference Graph Attention (SCGA) is presented for decoding the answer sequence to a question regarding a given vid…

cs.CV20211 cited

Semantic Grouping Network for Video Captioning

Hobin Ryu, Sunghun Kang, Haeyong Kang +1

This paper considers a video caption generating network referred to as Semantic Grouping Network (SGN) that attempts (1) to group video frames with discriminating word phrases of p…

cs.CV20207 cited

SCNet: Training Inference Sample Consistency for Instance Segmentation

Thang Vu, Haeyong Kang, Chang D. Yoo

Cascaded architectures have brought significant performance improvement in object detection and instance segmentation. However, there are lingering issues regarding the disparity i…

cs.CV20201 cited

Modality Shifting Attention Network for Multi-modal Video Question Answering

Junyeong Kim, Minuk Ma, Trung Pham +2

This paper considers a network referred to as Modality Shifting Attention Network (MSAN) for Multimodal Video Question Answering (MVQA) task. MSAN decomposes the task into two sub-…

cs.CV2019

Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution

Thang Vu, Hyunjun Jang, Trung X. Pham +1

This paper considers an architecture referred to as Cascade Region Proposal Network (Cascade RPN) for improving the region-proposal quality and detection performance by \textit{sys…

cs.CV20194 cited

Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering

Junyeong Kim, Minuk Ma, Kyungsu Kim +2

This paper proposes a method to gain extra supervision via multi-task learning for multi-modal video question answering. Multi-modal video question answering is an important task t…