LabCompass

Hyung‐gun Chi

Computer Science · Purdue University West Lafayette

Early career · publishing since 2019Rising activity

Publications

36

Citations

689

Est. group size

~2

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Hyung-gun Chi works on computer vision and machine learning problems related to understanding motion and 3D scenes, including tracking people and objects, predicting how vehicles or pedestrians will move, and estimating 3D shape and structure from sensor data like cameras and LiDAR. Recent work also touches on speech processing tasks such as compressing speech models and detecting when a user is talking to a device. The work often combines vision with other modalities like text or sound to improve prediction and recognition tasks.

3D scene understanding and occupancy predictionMotion and trajectory prediction for vehicles/pedestriansHuman pose, hand, and action recognitionMultimodal learning (vision, text, sound, speech)Knowledge distillation and model efficiency

Publication output was low and sporadic from 2017-2022 but has grown markedly since 2023, with a peak in 2024, suggesting an increasingly active recent publication record.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 6.0/year recently
17182019: 2 publications192020: 3 publications202021: 1 publication212022: 1 publication222023: 7 publications232024: 11 publications11242025: 7 publications252026: 4 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×11
  • Lecture notes in computer science×5
  • Computer-Aided Design×2
  • IEEE Transactions on Pattern Analysis and Machine Intelligence×1
  • Image and Vision Computing×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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