Hyeongmin Lee

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deep learning pr12 tensorflow kr computer vision mvp seminar paper review optical flow video frame interpolation machine learning video deep neural network nerf video compression image compression #pr12 gan tracking cotracker clip4clip clip model compression ddpm diffusion deep image compression hyperprior view synthesis light field networks information threory information technology entropy compression motion estimation convolutional neural network #deep learning signal prcessing video feature unmasking mathematics image captioning version control github git tsne dimension reduction data science word2vec natural language processing

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Hyeongmin Lee

PR-455: CoTracker: It is Better to Track Together

PR-430: CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

PR-420: Scalable Model Compression by Entropy Penalized Reparameterization

PR-409: Denoising Diffusion Probabilistic Models

PR-395: Variational Image Compression with a Scale Hyperprior

PR-386: Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering

PR-376: Softmax Splatting for Video Frame Interpolation

PR-365: Fast object detection in compressed video

PR-340: DVC: An End-to-end Deep Video Compression Framework

PR-328: End-to-End OptimizedImage Compression

PR-315: Taming Transformers for High-Resolution Image Synthesis

PR-302: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

PR-278: RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

Pr266

PR-252: Making Convolutional Networks Shift-Invariant Again

PR-240: Modulating Image Restoration with Continual Levels viaAdaptive Feature Modification Layers

PR-228: Geonet: Unsupervised learning of dense depth, optical flow and camera pose

PR-214: FlowNet: Learning Optical Flow with Convolutional Networks

[PR12] Making Convolutional Networks Shift-Invariant Again

Latest Frame interpolation Algorithms