Blog(3)

• A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization

  Research in Automatic Speech Recognition (ASR) continues to show that larger models yield better results. But while state-of-the-art networks continue to grow with billions of parameters, the difficulty of deploying these models on device also increases.

• AI Technology's Foray Into The Enchanting World of Video Compression

  Images and videos have been at the forefront of digital media consumption for a long time. All aspects of video and image capture, transmission, and display have seen leaps of innovation in recent times.

• Task Generalizable Spatial and Texture Aware Image Downsizing Network

  Convolutional neural networks (CNNs) are widely used today in various vision tasks such as classification, detection and segmentation. To make full use of GPU in CNN model processing and to use batch normalization, images of various resolutions are usually resized to the same resolution in the pipeline with mostly used bilinear interpolation.

Research Areas(0)

Publications(38)

• LittleBit: Ultra-Low Bit Quantization via Latent Factorization

  AuthorBanseok Lee, Dongkyu Kim, Youngcheon You, Youngmin Kim

  PublishedNeural Information Processing Systems (NeurIPS)

  Date2025-12-02

• Exploring compressibility of transformer based text-to-music (TTM) models

  AuthorPablo Peso Parada, Md Asif Jalal, Jisi Zhang, Karthikeyan Saravanan

  PublishedAnnual Conference of the International Speech Communication Association (INTERSPEECH)

  Date2024-09-01

• Dynamic Low-rank Estimation for Transformer-based Language Models

  AuthorTing Hua,Shangqian Gao,Yen-Chang Hsu,Yilin Shen,Hongxia Jin

  PublishedConference on Empirical Methods in Natural Language Processing (EMNLP)

  Date2023-12-08

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News(6)

• [Blog] Blind Face Video Restoration with Temporal Consistent Generative Prior and Degradation-Aware Prompt

  In real-world scenarios, both face images and videos may suffer from unknown and varied types of degradation, such as down-sampling, noise, blur, and compression.

• [Blog] AI Technology's Foray Into The Enchanting World of Video Compression

  Images and videos have been at the forefront of digital media consumption for a long time. All aspects of video and image capture, transmission, and display have seen leaps of innovation in recent times.

• [Blog] [CVPR 2023 Series #3] GENIE: Show Me the Data for Quantization

  Since the scale of the state-of-the-art AI models has become deeper, model compression also has been attracting more attention as a method to let models be deployed on edge devices without accessing cloud servers.

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Others(1)

• Meet our researchers

  What we do Working at Samsung Research is more than just a job. Find out how our researchers enjoy their work and are passionate about making a positive impact in the world. PlayVideo thumbnail - leehojung AI: Language Understanding Lee Ho-jung PlayVideo thumbnail - leejaewon AI: Speech Recognition Lee Jae-won PlayVideo thumbnail - kimkyungsoo AI: Visual Perception Kim Kyung-su PlayVideo thumbnail - hammyungjoo AI: On-Device AI Software Ham Myung-joo PlayVi...