issac8huxleg

issac8huxleg

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ML_GCN

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

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monoResMatch-Tensorflow

Tensorflow implementation of monocular Residual Matching (monoResMatch) network.

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CSP

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

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IterNorm

Code for Iterative Normalization (IterNorm)

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photometric-mesh-optim

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction (CVPR 2019)

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reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

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MSGAN

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

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GwcNet

Group-wise Correlation Stereo Network, CVPR 2019

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EpipolarPose

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (accepted to CVPR2019)

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regretful-agent

PyTorch code for CVPR 2019 paper: The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation

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maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".

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3DHandShapePosefromRGB

3D Hand Shape and Pose Estimation from a Single RGB Image

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mvad-names-dataset

M-VAD Names Dataset. Multimedia Tools and Applications (2018)

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SSIAM

Codes and dataset to Automatic Face & Gesture Recognition (FG 2019). Self-Supervised Learning of Face Representations for Video Face Clustering

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PReNet

Progressive Image Deraining Networks: A Better and Simpler Baseline

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ExtremeNet

Bottom-up Object Detection by Grouping Extreme and Center Points

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retinamask

RetinaMask

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MetaStyle

MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer

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tf-bsrn-sr

Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow

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smallhardface

Source code for Robust Face Detection via Learning Small Faces on Hard Images

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ShelfNet

Implementation for my paper "ShelfNet for Real-time semantic segmentation"

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AttentionMask

AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects (ACCV 2018, accepted as oral)

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M2Det

M2Det: A Single-Shot Multi-Scale Multi-Level Network for Object Detection

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CFENet

Comprehensive Feature Enhancement Module for Single-Shot Object Detector

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ScratchDet

The code and models for paper: "ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch"

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SingleGAN

Pytorch implementation of the paper "SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning", ACCV 2018

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Decoupled-Classification-Refinement

The is an official implementation of our ECCV2018 paper "Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (https://arxiv.org/abs/1803.06799)"

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