activity
20162025
most citedSoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data

17 citations · 54 across the 10 of their papers we have counts for

collaborators

12 papers

cs.AI2025

ContractEval: A Benchmark for Evaluating Contract-Satisfying Assertions in Code Generation

Soohan Lim, Joonghyuk Hahn, Hyunwoo Park +2

Current code generation evaluation measures functional correctness on well-formed inputs that satisfy all input preconditions. This paradigm has a critical limitation: task descrip…

cs.CL2025

SAGE:Specification-Aware Grammar Extraction for Automated Test Case Generation with LLMs

Aditi, Hyunwoo Park, Sicheol Sung +2

Grammar-based test case generation has proven effective for competitive programming problems, but generating valid and general grammars from natural language specifications remains…

cs.SE2025

LogiCase: Effective Test Case Generation from Logical Description in Competitive Programming

Sicheol Sung, Aditi, Dogyu kim +2

Automated Test Case Generation (ATCG) is crucial for evaluating software reliability, particularly in competitive programming where robust algorithm assessments depend on diverse a…

cs.SE2024

CodeComplex: Dataset for Worst-Case Time Complexity Prediction

Seung-Yeop Baik, Joonghyuk Hahn, Jungin Kim +4

Reasoning ability of Large Language Models (LLMs) is a crucial ability, especially in complex decision-making tasks. One significant task to show LLMs' reasoning capability is code…

cs.MA2023★ 12 cited

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

Hyunsung Kim, Han-Jun Choi, Chang Jo Kim +2

As artificial intelligence spreads out to numerous fields, the application of AI to sports analytics is also in the spotlight. However, one of the major challenges is the difficult…

stat.AP2022★ 17 cited

SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data

Hyunsung Kim, Bit Kim, Dongwook Chung +2

In fluid team sports such as soccer and basketball, analyzing team formation is one of the most intuitive ways to understand tactics from domain participants' point of view. Howeve…

cs.LG2022

Neuro-Symbolic Regex Synthesis Framework via Neural Example Splitting

Su-Hyeon Kim, Hyunjoon Cheon, Yo-Sub Han +1

Due to the practical importance of regular expressions (regexes, for short), there has been a lot of research to automatically generate regexes from positive and negative string ex…

cs.LG2021★ 8 cited

6MapNet: Representing soccer players from tracking data by a triplet network

Hyunsung Kim, Jihun Kim, Dongwook Chung +3

Although the values of individual soccer players have become astronomical, subjective judgments still play a big part in the player analysis. Recently, there have been new attempts…

cs.CV2018★ 15 cited

Neural Sign Language Translation based on Human Keypoint Estimation

Sang-Ki Ko, Chang Jo Kim, Hyedong Jung +1

We propose a sign language translation system based on human keypoint estimation. It is well-known that many problems in the field of computer vision require a massive amount of da…

cs.CC2017★ 1 cited

Composition problems for braids: Membership, Identity and Freeness

Sang-Ki Ko, Igor Potapov

In this paper we investigate the decidability and complexity of problems related to braid composition. While all known problems for a class of braids with three strands, , hav…

cs.DM2017

On the Identity Problem for the Special Linear Group and the Heisenberg Group

Sang-Ki Ko, Reino Niskanen, Igor Potapov

We study the identity problem for matrices, i.e., whether the identity matrix is in a semigroup generated by a given set of generators. In particular we consider the identity probl…

cs.CC2016★ 1 cited

Matrix Semigroup Freeness Problems in

Sang-Ki Ko, Igor Potapov

In this paper we study decidability and complexity of decision problems on matrices from the special linear group . In particular, we study the freeness…