guoxinXiong

guoxinXiong's Stars

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.3k342961k

• lucidrains/slot-attention

  Implementation of Slot Attention from GoogleAI

  Language:Python38911733

• anosorae/IRRA

  Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval (CVPR 2023)

  Language:Python20234127

• changwxx/Awesome-Optimal-Transport-in-Deep-Learning

  a collection of AWESOME things about Optimal Transport in Deep Learning

  1954018

• yinizhilian/ICLR2024-Papers-with-Code

  ICLR 2024 论文和开源项目合集

  121405

• jpthu17/GraphMotion

  [NeurIPS 2023] Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs

  Language:Python115477

• lucidrains/agent-attention-pytorch

  Implementation of Agent Attention in Pytorch

  Language:Python86334

• CrossmodalGroup/LAPS

  Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment, CVPR, 2024

  Language:Python78748

• liudaizong/Awesome-3D-Visual-Grounding

  😎 up-to-date & curated list of awesome 3D Visual Grounding papers, methods & resources.

  71301

• jiajunsi/RCML

  Reliable Conflictive Multi-view Learning

  Language:Python63185

• QinYang79/RDE

  Noisy-Correspondence Learning for Text-to-Image Person Re-identification (CVPR 2024 Pytorch Code)

  Language:Python62293

• XLearning-SCU/2021-NeurIPS-NCR

  Language:Python59267

• heshuting555/PAP-FZS3D

  [TIP-2023] Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation

  Language:Python57433

• Jiamian-Wang/T-MASS-text-video-retrieval

  Official implementation of "Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval (CVPR 2024 Highlight)"

  Language:Python55461

• QinYang79/Awesome-Noisy-Correspondence

  This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: linyijie.gm@gmail.com yangmouxing@gmail.com qinyang.gm@gmail.com

  41206

• hhc1997/L2RM

  Language:Python26150

• xu5zhao/BiCro

  Language:Python26133

• sosppxo/MDIN

  [MM2024 Oral] 3D-GRES: Generalized 3D Referring Expression Segmentation

  Language:Python24190

• pl8787/Match-Ignition

  Language:Python22127

• ZhangXu0963/NPC

  The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.

  Language:Python171152

• QinYang79/CRCL

  Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)

  Language:Python14200

• XLearning-SCU/2024-TIP-CREAM

  PyTorch implementation for Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining (TIP 2024)

  Language:Python12101

• alipay/PC2-NoiseofWeb

  Noise of Web (NoW) is a challenging noisy correspondence learning (NCL) benchmark containing 100K image-text pairs for robust image-text matching/retrieval models.

  Language:Python11301

• hhc1997/MSCN

  Language:Python10171

• MediaBrain-SJTU/GSC

  Language:Python500

• njustkmg/NIC

  Noise-Aware Image Captioning with Progressively Exploring Mismatched Words

  Language:Python5110

• yigengjiang/3DGCTR-Visualization

  Visualization of "Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization"

  Language:Python50

• LonganWANG-cs/NRCH

  PyTorch implementation for Robust Contrastive Cross-modal Hashing with Noisy Labels. (ACM Multimedia 2024).

  Language:Python3202

• rayleizhu/pomegranate

  Fast, flexible and easy to use probabilistic modelling in Python.

  Language:Jupyter Notebook3100

• xshuai714/DADA

  3111