3 citations · 4 across the 7 of their papers we have counts for
9 papers
N-Gram Memories at Two Bits: Quantizing Lookup Tables in Large Language Models
Donghoon Han, Minseop Jung, Dong Woo Kwak +2
Conditional memory expands language-model capacity through selective lookup, but the full embedding table must remain available for every possible input. We introduce Conditional P…
Policy-Aligned Predictive Verification for Adaptive VLA Action-Chunk Execution
Minkyu Kim, Junhoo Lee, Seungyeon Kim +4
Vision-language-action (VLA) policies generate action sequences that reduce repeated inference, but deciding how much of each sequence to execute is critical to task success. Exist…
Where Do Multilingual Vision-Language Encoders Fail on Low-Resource Languages?
Donghoon Han, SungHyun Moon, Aidyn Zhakatayev +2
Recent multilingual vision--language encoders cover hundreds of languages in a single model, yet on two state-of-the-art instances retrieval on low-resource languages (LRL; e.g. Sw…
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline
Donghoon Han, Eunhwan Park, Gisang Lee +2
The rapid expansion of multimedia content has made accurately retrieving relevant videos from large collections increasingly challenging. Recent advancements in text-video retrieva…
Unleash the Potential of CLIP for Video Highlight Detection
Donghoon Han, Seunghyeon Seo, Eunhwan Park +2
Multimodal and large language models (LLMs) have revolutionized the utilization of open-world knowledge, unlocking novel potentials across various tasks and applications. Among the…
ConcatPlexer: Additional Dim1 Batching for Faster ViTs
Donghoon Han, Seunghyeon Seo, Donghyeon Jeon +3
Transformers have demonstrated tremendous success not only in the natural language processing (NLP) domain but also the field of computer vision, igniting various creative approach…
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
Seunghyeon Seo, Donghoon Han, Yeonjin Chang +1
Neural Radiance Field (NeRF) has broken new ground in the novel view synthesis due to its simple concept and state-of-the-art quality. However, it suffers from severe performance d…
Few-shot Image Generation with Mixup-based Distance Learning
Chaerin Kong, Jeesoo Kim, Donghoon Han +1
Producing diverse and realistic images with generative models such as GANs typically requires large scale training with vast amount of images. GANs trained with limited data can ea…
The U-Net based GLOW for Optical-Flow-free Video Interframe Generation
Saem Park, Donghoon Han, Nojun Kwak
Video frame interpolation is the task of creating an interframe between two adjacent frames along the time axis. So, instead of simply averaging two adjacent frames to create an in…