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CVIP's Projects

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Curriculum Learning for Recurrent Video Object Segmentation

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[TIP 2020] Improving the Harmony of the Composite Image by Spatial-Separated Attention Module

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source code of "Learning Selective Self-Mutual Attention for RGB-D Saliency Detection" (CVPR2020)

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Semi-supervised Video Deraining with Dynamical Rain Generator (CVPR, 2021, Pytorch)

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Release of the pretrained S3D Network in PyTorch (ECCV 2018)

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Code for Shadow-Aware Dynamic Convolution for Shadow Removal

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Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"

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[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

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Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis (CVPR2022)

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[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

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A lightweight vision library for performing large scale object detection/ instance segmentation.

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Official implementation of "Decoder Modulation for Indoor Depth Completion" https://arxiv.org/abs/2005.08607

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Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"

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Repository for "A Stereo Attention Module for Stereo Image Super-Resolution ", SPL, 2020

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Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754

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[MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset

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Differentiable Point Cloud Sampling (CVPR 2020 Oral)

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Exploring Self-attention for Image Recognition, CVPR2020.

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[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

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Syntax-Aware Network for Handwritten Mathematical Expression Recognition

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Codes for MICCAI2021 paper "Shallow Attention Network for Polyp Segmentation"

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Structured Attention Network for Referring Image Segmentation, IEEE Transactions on Multimedia (TMM), 2021

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Code for Towards Streaming Perception (ECCV 2020)

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This is an implementation of Show, Attend and Read with tensorflow

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Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

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