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20182026
most citedHandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network

14 citations · 18 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches

Joonkyu Park, Kyoung Mu Lee

Single image super-resolution aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs. Training SR models typically requires paired HR-LR data, which is dif…

cs.CV2025

MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook

Peng Xu, Shengwu Xiong, Jiajun Zhang +125

This paper reviews the MARS2 2025 Challenge on Multimodal Reasoning. We aim to bring together different approaches in multimodal machine learning and LLMs via a large benchmark. We…

cs.CV2024

GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring

Dongwoo Lee, Joonkyu Park, Kyoung Mu Lee

To train a deblurring network, an appropriate dataset with paired blurry and sharp images is essential. Existing datasets collect blurry images either synthetically by aggregating…

cs.CV20231 cited

Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery

JoonKyu Park, Daniel Sungho Jung, Gyeongsik Moon +1

Understanding how two hands interact with each other is a key component of accurate 3D interacting hand mesh recovery. However, recent Transformer-based methods struggle to learn t…

cs.CV20221 cited

Pay Attention to Hidden States for Video Deblurring: Ping-Pong Recurrent Neural Networks and Selective Non-Local Attention

JoonKyu Park, Seungjun Nah, Kyoung Mu Lee

Video deblurring models exploit information in the neighboring frames to remove blur caused by the motion of the camera and the objects. Recurrent Neural Networks~(RNNs) are often…

cs.CV202214 cited

HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network

JoonKyu Park, Yeonguk Oh, Gyeongsik Moon +2

Hands are often severely occluded by objects, which makes 3D hand mesh estimation challenging. Previous works often have disregarded information at occluded regions. However, we ar…