Free Lunch to Meet the Gap: Intermediate Domain Reconstruction for Cross-Domain Few-Shot Learning in IJCV 2025

Code for Language-Inspired Relation Transfer for Few-Shot Class-Incremental Learning in IEEE TPAMI

This is the official implementation of “Sensitivity Decouple Learning for Image Compression Artifacts Reduction”

Implementation of Deblurring Neural Radiance Fields with Event-driven Bundle Adjustment

How to Use Diffusion Priors under Sparse Views? (NeurIPS 2024)

QLoRA: Efficient Finetuning of Quantized LLMs

Code to evaluate segmentation results for MVPS dataset

Towards imbalanced motion: part-decoupling network for video portrait segmentation (SCIS 2024)

matlab and python wrap of crf and dense crf, both 2d and 3d are supported

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

Real-Time Semantic Segmentation in Mobile device

Code for Multi-class Part Parsing with Joint Boundary-Semantic Awareness ICCV 2019

Codes for CVPR 2024 paper "SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream"

AcadHomepage: A Modern and Responsive Academic Personal Homepage

Implementation of Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition, IJCV 2023

GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting (SIGGRAPH Asia 2024, TOG)

Awesome Few-Shot Class-Incremental Learning

To appear in the 11th International Conference on Learning Representations (ICLR 2023).

Residual-Based Post-Processing for HEVC[J]. IEEE MultiMedia

[CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning

"Multiple Expert Brainstorming for Domain Adaptive Person Re-identification", ECCV 2020

“Population-based Cooperative Gaming for Unsupervised Person Re-identification”, IJCV 2023.

DICTOL - A Dictionary Learning Toolbox in Matlab and Python

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Awesome 3D Lane Detection Paper List.

Awesome BEV Perception with Single Camera Paper List