Seong Hyeon Park
Seong Hyeon Park
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2023
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IFSeg: Image-free Semantic Segmentation via Vision-Language Model
We propose a new image-free semantic segmentation model, referred to as the IFSeg.
Sukmin Yun
,
Seong Hyeon Park
,
Paul Hongsuck Seo
,
Jinwoo Shin
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Code
arXiv
K-centered Patch Sampling for Efficient Video Recognition
We propose a patch sampling method, referred to as the K-centered patch sampling, which uses the greedy K-center search for video transformers.
Seong Hyeon Park
,
Jihoon Tack
,
Byeongho Heo
,
Jung-Woo Ha
,
Jinwoo Shin
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Code
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
We propose a novel prediction model, referred to as the lane-aware prediction (LaPred) network, which uses the instance-level lane entities extracted from a semantic map to predict the multi-modal future trajectories.
ByeongDo Kim
,
Seong Hyeon Park
,
Seokhwan Lee
,
Elbek Khoshimjonov
,
Dongsuk Kum
,
Junsoo Kim
,
Jeong Soo Kim
,
Jun Won Choi
Cite
arXiv
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
We propose a model that synthesizes multiple input signals from the multimodal world|the environment’s scene context and interactions between multiple surrounding agents|to best model all diverse and admissible trajectories.
Seong Hyeon Park
,
Gyubok Lee
,
Jimin Seo
,
Manoj Bhat
,
Minseok Kang
,
Jonathan Francis
,
Ashwin Jadhav
,
Paul Pu Liang
,
Louis-Philippe Morency
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Code
Slides
Video
DOI
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture
We propose a deep learning based vehicle trajectory prediction technique which can generate the future trajectory sequence of surrounding vehicles in real time.
Seong Hyeon Park
,
ByeongDo Kim
,
Chang Mook Kang
,
Jun Won Choi
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Video
DOI
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