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20192023
most citedExploiting Shape Cues for Weakly Supervised Semantic Segmentation

25 citations · 48 across the 14 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 2 cited

BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos

Pilhyeon Lee, Hyeran Byun

Temporal sentence grounding aims to localize moments relevant to a language description. Recently, DETR-like approaches achieved notable progress by predicting the center and lengt…

cs.CV2023

Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations

Seogkyu Jeon, Bei Liu, Pilhyeon Lee +3

Training deep generative models usually requires a large amount of data. To alleviate the data collection cost, the task of zero-shot GAN adaptation aims to reuse well-trained gene…

cs.CV2023★ 5 cited

AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks

Kibeom Hong, Seogkyu Jeon, Junsoo Lee +6

To deliver the artistic expression of the target style, recent studies exploit the attention mechanism owing to its ability to map the local patches of the style image to the corre…

cs.CV2023

Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection

Pilhyeon Lee, Taeoh Kim, Minho Shim +2

Temporal action detection aims to predict the time intervals and the classes of action instances in the video. Despite the promising performance, existing two-stream models exhibit…

eess.SP2023

Source-free Subject Adaptation for EEG-based Visual Recognition

Pilhyeon Lee, Seogkyu Jeon, Sunhee Hwang +2

This paper focuses on subject adaptation for EEG-based visual recognition. It aims at building a visual stimuli recognition system customized for the target subject whose EEG sampl…