1 citations · 1 across the 5 of their papers we have counts for
5 papers
RCEM: Robust Conversational Search EMbedder in Distributional Shift
Kilho Son, Paul Hsu, Cha Zhang +1
We propose RCEM, a Robust Conversational search EMbedder that is additionally equipped with LLM's query reformulation capability without losing base model's generalization. Unlike…
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation
Moon Ye-Bin, Jisoo Kim, Hongyeob Kim +2
We propose TextManiA, a text-driven manifold augmentation method that semantically enriches visual feature spaces, regardless of class distribution. TextManiA augments visual data…
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Haotian Liu, Kilho Son, Jianwei Yang +4
Image-text contrastive learning models such as CLIP have demonstrated strong task transfer ability. The high generality and usability of these visual models is achieved via a web-s…
Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines
Kilho Son, Jesse Hostetler, Sek Chai
Complex image processing and computer vision systems often consist of a processing pipeline of functional modules. We intend to replace parts or all of a target pipeline with deep…
Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup
Kilho Son, Ming-Yu Liu, Yuichi Taguchi
Range images captured by Time-of-Flight (ToF) cameras are corrupted with multipath distortions due to interaction between modulated light signals and scenes. The interaction is oft…