QIF 2023 South Korea

2023 South Korea Program Details

Qualcomm Technologies, Inc. proudly announces the launch of Qualcomm Innovation Fellowship 2023 Korea program.
The program is a qualified paper scholarship selection program and open to Master or PhD students at specific universities in South Korea.

Winners

Finalist Selections

Program Information

2023 South Korea Winners

Application Number	Paper Title	Student(s)	University
QIFK2023_17	Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization	Minsu Kim	KAIST
QIFK2023_21	Loss-Curvature Matching for Dataset Selection and Condensation	Seungjae Shin, Heesun Bae	KAIST
QIFK2023_39	Video Probabilistic Diffusion Models in Projected Latent Space	Sihyun Yu	KAIST
QIFK2023_49	Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners	Seonghyeon Ye	KAIST
QIFK2023_56	High-fidelity 3D Human Digitization from Single 2K Resolution Images	Sang-Hun Han	GIST
QIFK2023_61	Feature Separation and Recalibration for Adversarial Robustness	Woo Jae Kim	KAIST
QIFK2023_72	MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs	Seunghyeon Seo	Seoul National University
QIFK2023_95	Multi-Modal Representation Learning with Text-Driven Soft Masks	Jaeyoo Park	Seoul National University
QIFK2023_101	Leveraging Proxy of Training Data for Test-Time Adaptation	Juwon Kang	POSTECH
QIFK2023_102	Probabilistic Concept Bottleneck Models	Eunji Kim	Seoul National University
QIFK2023_103	Recursion of Thought: A Divide-and-Conquer Approach to Multi-Context Reasoning with Language Models	Soochan Lee	Seoul National University
QIFK2023_108	DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model	Gwanghyun Kim	Seoul National University
QIFK2023_115	Token-Scaled Logit Distillation for Ternary Weight Generative Language Models	Minsoo Kim	Hanyang Univeristy
QIFK2023_117	Panoramic Vision Transformer for Saliency Detection in 360 Videos	Heeseung Yun	Seoul National University
QIFK2023_118	Scalable Neural Video Representations with Learnable Positional Features	Subin Kim, Sihyun Yu	KAIST

Fellowship Winners and Finalists

The Qualcomm Innovation Fellowship began in 2009, and has continued to grow with the addition of more universities, more candidates, and expansion to our research centers internationally. Take a look at a list of all our fellowship winners and finalists from years past:

Winners

Finalists