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tangyoubao's Projects

se3cnn icon se3cnn

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

sec icon sec

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

seg-with-spn icon seg-with-spn

Demo code of the paper: "Learning to Segment Instances in Videos with Spatial Propagation Network", in CVPR'17 Workshop on DAVIS Challenge

segaware icon segaware

Segmentation-Aware Convolutional Networks Using Local Attention Masks

siammask icon siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

simpledet icon simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

singan icon singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

sparsemask icon sparsemask

SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.

spn icon spn

Soft Proposal Networks for Weakly Supervised Object Localization, in ICCV 2017

srmd icon srmd

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations

ssd.pytorch icon ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

stargan icon stargan

PyTorch Implementation of StarGAN - CVPR 2018

surfacenet icon surfacenet

M. Ji, H. Zheng, J. Gall, Y. Liu, and L. Fang. SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis. ICCV, 2017

tf-cpn icon tf-cpn

a tensorflow implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

torchcv icon torchcv

A PyTorch-Based Framework for Deep Learning in Computer Vision

tp-gan icon tp-gan

Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"

ugscnn icon ugscnn

Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators

unit icon unit

unsupervised/unpaired image-to-image translation using coupled GANs

vid2vid icon vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

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