xingezi

xingezi's Stars

• TJUMMG/EGNet

  EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)

  21

• TJUMMG/BE-AUTO-ext

  This is the project for our paper "CNN-based bit-depth enhancement by the suppression of false contour and color distortion

  21

• TJUMMG/Motion-Guided-Attention

  Motion Guided Attention for Video Salient Object Detection, ICCV 2019

  23

• TJUMMG/BE-CNN

  Bit-Depth Enhancement via Convolutional Neural Network

  Language:Python422

• TJUMMG/BE-CALF

  BE-CALF: Bit-Depth Enhancement by Concatenating All Level Features of DNN

  Language:Python363

• TJUMMG/IPAD

  IPAD: Intensity Potential for Adaptive De-quantization

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• TJUMMG/ABSNet

  ABSNet: Aesthetics-Based Saliency Networkusing Multi-Task Convolutional Network(IEEE Signal Processing Letters2020)

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• TJUMMG/DS-Net

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• TJUMMG/VBDE

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• TJUMMG/PaperWriting

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• TJUMMG/BE-ACGAN

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• TJUMMG/3DFP_FCGAN

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• TJUMMG/KFC-MER

  Key Facial Components Guided Micro-Expression Recognition Based on First & Second-Order Motion

  Language:Python44

• TJUMMG/SiamDMU

  Language:Python27

• TJUMMG/DIPONet

  DIPONet: Dual-Information Progressive Optimization Network for Salient Object Detection

  Language:Python271

• TJUMMG/EATtracker

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• TJUMMG/TGSR

  This is the official implementation with training code for “Trajectory Guided Robust Visual Object Tracking with Selective Remedy”.

  Language:Python261

• TJUMMG/MRFT

  20

• TJUMMG/TubeDETR

  [CVPR 2022 Oral] TubeDETR: Spatio-Temporal Video Grounding with Transformers

  21

• TJUMMG/SAW

  Language:Python301

• TJUMMG/GARNet

  Group attention retention network for co-salient object detection

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• TJUMMG/SGFDN

  Language:Python221

• TJUMMG/MSTFN

  Language:Python211

• TJUMMG/Home

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• TJUMMG/IRFRN

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• TJUMMG/RMFNet

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• TJUMMG/tjummg_site

  TJUMMG网页的源代码

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• TJUMMG/tjummg.github.io

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• lcybuzz/Low-Level-Vision-Paper-Record

  记录近期的 1) 图像/视频的超分增强等low level vision任务; 2) 图像生成 等任务相关论文, 主要为18年以后的DL based方法.

  47750

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python55.9k5.7k