[NeurIPS 2025 Spotlight] Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection

[NeurIPS2025] ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model

Neural Network Video Interpolation / Super Resolution Filter for VapourSynth

Zero-shot Object Counting with Good Exemplars[ECCV 2024]

Personal homepoage

homepage

A curated list of deep learning resources for video-text retrieval.

The codes for ACM Multimedia 2023 paper 'DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting. ' The models and codes will be coming soon!

Implementation for CycMuNet+

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

The codes for ACM Multimedia 2023 paper 'DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting. '

CausalVLR: A Toolbox and Benchmark for Vision-Language Causal Reasoning (多模态因果推理开源框架)

一个Python写的游戏辅助小工具。适用于 咸鱼之王后台挂机、鼠标连击等。

[NeurIPS2024] PLIP: Language-Image Pre-training for Person Representation Learning

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

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

This repo is official implementation of HumanBench (CVPR2023)

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.

[TMM 23] An official implement of 《Find Gold in Sand: Fine-Grained Similarity Mining for Domain-Adaptive Crowd Counting》

Pytorch implementation of convolutional neural network visualization techniques

Dynamic Modality Interaction Modeling for Image-Text Retrieval. SIGIR'21

CCD： Official PyTorch implementation of the paper "Contextual Debiasing for Visual Recognition with Causal Mechanisms"

Learning Convolutional Neural Networks with Interactive Visualization.

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)