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Junghyun Park

3 accepted papers

2026

AnthroTAP: Learning Point Tracking with Real-World Motion

CVPR 2026

Point tracking models often struggle to generalize to real-world videos because large-scale training data is predominantly synthetic--the only source currently feasible to produce at scale. Collecting real-world annotations, however, is prohibitively expensive, as it requires tracking hundreds of po

Cited by 0SourcecodeScholar
2026

MV-TAP: Tracking Any Point in Multi-View Videos

CVPR 2026

Multi-view camera systems enable rich observations of complex real-world scenes, and understanding dynamic objects in multi-view settings has become central to various applications. Point tracking serves as a key mechanism for capturing dynamic motion. However, conventional single-view approaches of

Cited by 0SourcecodeScholar
2023

String-Based Molecule Generation Via Multi-Decoder VAE

ICASSP 2023accepted

In this study, we investigate the problem of string-based molecular generation via variational autoencoders (VAEs) that have served a popular generative approach for various tasks in artificial intelligence. Our main idea is to maintain multiple decoders while sharing a single encoder, i.e., it is a…

Cited by 0SourceScholar