Sejong Yoon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
11
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DPLoRA: A Dual-Pruning Framework based on ILP Optimization and Progressive Pruning for Parameter-Efficient LoRA Fine-Tuning. | Changjun Park, Sejong Yoon, Jaekwang Kim |
| 2026 | PAKDD | SGTRec: Integrating Spectral Encoding with Graph Neural Networks and Transformers for Recommendation. | Sichan Oh, Byungmoon Heo, Namjun Lee, Seonah Kim, Sejong Yoon, Jaekwang Kim |
| 2024 | CVPR | Learning from Synthetic Human Group Activities. | Che-Jui Chang, Danrui Li, Deep Patel, Parth Goel, Honglu Zhou, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia |
| 2024 | HRI | MiRODES: Mini Intelligent Robot for On-campus Domain-specific Event Support. | Mila Manzano, Kristen O'Donnell, Eden Espinosa, Sejong Yoon |
| 2024 | ICPR | TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction. | Tony Qingze Liu, Danrui Li, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic |
| 2023 | ICCV | MSI: Maximize Support-Set Information for Few-Shot Segmentation. | Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia |
| 2022 | CVPR | MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction. | Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic |
| 2022 | ECCV | HM: Hybrid Masking for Few-Shot Segmentation. | Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia |
| 2022 | IJCAI | Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction. | Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia |
| 2021 | MIG | A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction. | Samuel S. Sohn, Mihee Lee, Seonghyeon Moon, Gang Qiao, Muhammad Usman, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia |
| 2020 | AAAI | Model AI Assignments 2020. | Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hnig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett |
| 2020 | ECCV | Laying the Foundations of Deep Long-Term Crowd Flow Prediction. | Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia |
| 2019 | AAAI | A Neural Network Approach for Birds of a Feather Solvability Prediction. | Benjamin Sang, Sejong Yoon |
| 2019 | MIG | Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. | Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic |
| 2018 | AAAI | The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. | Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic |
| 2017 | MIG | Characterizing the relationship between environment layout and crowd movement using machine learning. | Weining Liu, Vladimir Pavlovic, Kaidong Hu, Petros Faloutsos, Sejong Yoon, Mubbasir Kapadia |
| 2016 | AAAI | Decentralized Approximate Bayesian Inference for Distributed Sensor Network. | Behnam Gholami, Sejong Yoon, Vladimir Pavlovic |
| 2016 | AAAI | Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. | Changkyu Song, Sejong Yoon, Vladimir Pavlovic |
| 2016 | WACV | Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. | Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic |