activity
20152023
most citedLearning Deconvolution Network for Semantic Segmentation

614 citations · 1.9k across the 38 of their papers we have counts for

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Showing 2019 · cs.CVShow all

5 papers · 2 filters

cs.CV2019★ 4 cited

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning

Ilchae Jung, Kihyun You, Hyeonwoo Noh +2

We propose a novel meta-learning framework for real-time object tracking with efficient model adaptation and channel pruning. Given an object tracker, our framework learns to fine-…

cs.CV2019

Reinforcing an Image Caption Generator Using Off-Line Human Feedback

Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim +2

Human ratings are currently the most accurate way to assess the quality of an image captioning model, yet most often the only used outcome of an expensive human rating evaluation i…

cs.CV2019★ 13 cited

Fine-Grained Neural Architecture Search

Heewon Kim, Seokil Hong, Bohyung Han +2

We present an elegant framework of fine-grained neural architecture search (FGNAS), which allows to employ multiple heterogeneous operations within a single layer and can even gene…

cs.CV2019★ 3 cited

Context-Aware Zero-Shot Recognition

Ruotian Luo, Ning Zhang, Bohyung Han +1

We present a novel problem setting in zero-shot learning, zero-shot object recognition and detection in the context. Contrary to the traditional zero-shot learning methods, which s…

cs.CV2019★ 7 cited

Streamlined Dense Video Captioning

Jonghwan Mun, Linjie Yang, Zhou Ren +2

Dense video captioning is an extremely challenging task since accurate and coherent description of events in a video requires holistic understanding of video contents as well as co…