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Jiaxin Ye's starred repositories

blobgan

Official PyTorch implementation of BlobGAN: Spatially Disentangled Scene Representations

Language:PythonBSD-2-Clause17100

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

Language:PythonNOASSERTION3565700

ObjectBox

(ECCV 22 Oral) ObjectBox: From Centers to Boxes for Anchor-Free Object Detection

Language:PythonGPL-3.013100

AiATrack

[ECCV'22] The official PyTorch implementation of our ECCV 2022 paper: "AiATrack: Attention in Attention for Transformer Visual Tracking".

Language:PythonMIT10500

tabby

A terminal for a more modern age

Language:TypeScriptMIT5859200

OSTrack

[ECCV 2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework

Language:PythonMIT37800

Awesome-Vision-Attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

Language:Python274600

CvT

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Language:PythonMIT54200

Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Language:Jupyter NotebookMIT176800

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

Language:PythonMIT38400

MixFormer

[CVPR 2022 Oral & TPAMI 2024] MixFormer: End-to-End Tracking with Iterative Mixed Attention

Language:PythonMIT44800

Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Language:Jupyter NotebookMIT78000