yangxiao2

yangxiao2's Stars

• UCSC-VLAA/CLIPS

  An Enhanced CLIP Framework for Learning with Synthetic Captions

  Language:Python251

• microsoft/LLM2CLIP

  LLM2CLIP makes SOTA pretrained CLIP model more SOTA ever.

  Language:Python43719

• google-research-datasets/conceptual-captions

  Conceptual Captions is a dataset containing (image-URL, caption) pairs designed for the training and evaluation of machine learned image captioning systems.

  Language:Shell52426

• Alibaba-NLP/OmniSearch

  Repo for Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

  Language:Python19712

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook10.1k984

• StevenGrove/LearnableTreeFilterV2

  Language:Python919

• Hazqeel09/ellzaf_ml

  Bridging Research and Practice with PyTorch

  Language:Python726

• 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

  498

• amusi/ECCV2024-Papers-with-Code

  ECCV 2024 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2024论文和开源项目

  2.1k267

• ErgastiAlex/MARS

  Language:Python182

• happylinze/multi-modal-tsm

  The official repository for the Multi-Modal Visual Pattern Recognition Challenge-Track3 Baseline (ICPR 2024)

  Language:Python51

• XU-TIANYANG/ZOO145

  145 video sequences with 20 categories from the zoo, forming a new test set for animal tracking, coined ZOO145

  3

• taosdata/TDengine

  High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

  Language:C23.5k4.9k

• zengwang430521/TCFormer

  The codes for TCFormer in paper: Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer

  Language:Python22721

• ArrowLuo/CLIP4Clip

  An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

  Language:Python901125

• jihoo-kim/RecSys-Papers-from-SIGIR-2021

  Papers related to the Recommender System from SIGIR 2021 (including the links for Paper PDF, Github Code and Dataset)

  244

• CryhanFang/CLIP2Video

  Language:Python23628

• starmemda/CAMoE

  Language:Python9710

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  14k1.4k

• JingweiJ/ActionGenome

  A video database bridging human actions and human-object relationships

  Language:Python13217

• yrcong/STTran

  Spatial-Temporal Transformer for Dynamic Scene Graph Generation, ICCV2021

  Language:Jupyter Notebook19633

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k27.5k

• jayleicn/ClipBERT

  [CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.

  Language:Python71486

• m-bain/frozen-in-time

  Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval [ICCV'21]

  Language:Python35543

• XU-TIANYANG/LSDCF

  Learning Low-rank and Sparse Discriminative Correlation Filters for Coarse-to-Fine Visual Object Tracking

  Language:MATLAB102

• m-bain/webvid

  Large-scale text-video dataset. 10 million captioned short videos.

  Language:Python61239

• CRIPAC-DIG/GHRM

  [WWW 2021] Source code and datasets for the paper "Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval".

  Language:Python87

• HuiChen24/IMRAM

  code for our CVPR2020 paper "IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval"

  Language:Python9429

• kuanghuei/SCAN

  PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

  Language:Python554113

• divelab/DeeperGNN

  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

  Language:Python6916