Tencent YouTu Research (TencentYoutuResearch)

Tencent YouTu Research

TencentYoutuResearch

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Location:Shanghai, China

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Tencent YouTu Research's repositories

AnomalyDetection-SoftPatch

Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"

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License:Apache-2.0Stargazers:45Issues:0Issues:0

CrowdCounting-P2PNet

The official codes for the ICCV2021 Oral presentation "Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework"

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OpenWorld-DeepFakeAttribution

Code for ICCV 2023 paper "Contrastive Pseudo Learning for Open-World DeepFake Attribution"

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NeRF-Loc

Code for ICRA2023 paper "NeRF-Loc: Visual Localization with Conditional Neural Radiance Field"

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PersonRetrieval-IVT

Code for ECCV 2022 Workshop paper "See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval"

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AnomalyDetection-M3DM

Code for CVPR 2023 paper "Multimodal Industrial Anomaly Detection via Hybrid Fusion"

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AdaMatcher

Code for CVPR2023 paper:Adaptive Assignment for Geometry Aware Local Feature Matching

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HighlightDetection-CLC

Code for CVPR2023 paper "Collaborative Noisy Label Cleaner: Learning Scene-aware Trailers for Multi-modal Highlight Detection in Movies"

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SceneSegmentation-SCRL

Code for CVPR 2022 paper "Scene Consistency Representation Learning for Video Scene Segmentation"

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ImageColorization-ColorFormer

Code for ECCV 2022 paper "ColorFormer: Image Colorization via Color Memory assisted Hybrid-attention Transformer"

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FaceRestoration-sgpn

Code for CVPR 2022 paper "Blind Face Restoration via Integrating Face Shape and Generative Priors"

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FewShotLearning-tSF

Code for ECCV 2022 paper "tSF: Transformer-based Semantic Filter for Few-Shot Learning"

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UDA-ProCA

code for ECCV 2022 paper "Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation"

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HeadSynthesis-HifiHead

Code for IJCAI-22 paper "HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control"

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Classification-SemiCLS

Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”

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Adv-Makeup

This project is an implementation of our IJCAI 2021 paper "Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition", we propose a novel attacking form for the face recognition to synthesize the transferable and imperceptible adversarial examples.

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PersonReID-ACT

Code for AAAI 2020 paper "Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification"

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ActionDetection-LSTC

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

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VPLOW_CLEAR22

Code for CVPR 2022 CLEAR Challenge "This repository is the CLEAR Challenge 1st place methods for CVPR 2022 Workshop on Visual Perception and Learning in an Open World"

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EventExtraction-RAAT

Code for NAACL 2022 paper (Main Track) "RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction"

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MultiLabel-HML

Code for ECCV 2022 paper "Hyperspherical Learning in Multi-Label Classification"

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ImageMatching-OETR

This is the official implementation in PyTorch for AAAI2022 paperGuide Local Feature Matching by Overlap Estimation and also contain a image matching toolbox.

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VisualRecognition-NomMer

Code for CVPR 2022 paper "NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition"

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BaseArchitecture-EAT

Official pytorch implementation of the paper "Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model, NeurIPS'21".

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ActiveLearning-SDM

Implementation of CVPR 2022 paper "Learning Distinctive Margin toward Active Domain Adaptation”

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HIG-GraphClassification

Code of Heterogeneous interpolation on graph, which is a solution for OGB challenge

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ActionDetection-AFSD

Code for CVPR2021 paper "Learning Salient Boundary Feature for Anchor-free Temporal Action Localization"

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OCR-AEC5k

Dataset of AAAI 2020 paper "Accurate Structured-Text Spotting for Arithmetical Exercise Correction"

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CrowdCounting-UEPNet

The official codes for the ICCV2021 presentation "Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting"

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