(CVPR2026 Highlight) The Devil Is in Gradient Entanglement: Energy-Aware Gradient Coordinator for Robust Generalized Category Discovery (EAGC)

About A collection of AWESOME things about information geometry Topics

PyTorch Implementation for Geometry-Consistent Regularization for Domain Generalized Semantic Segmentation [CVPR2026]

Curated academic CV templates and guidelines for PhD students, researchers, and faculty job applicants.

This is the official PyTorch implementation of RHOP (ICLR 2026)

This is the code of "INTRINSIC LORENTZ NEURAL NETWORK", which will be achieve before April 30.

SPDlearn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization

(CVPR26) Hyperbolic Busemann Neural Networks

[CVPR26-Highlight] Open-Vocabulary Domain Generalization in Urban-Scene Segmentation

(ICLR2026) Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold Regularization

(CVPRW2026) Solution of the NTIRE 2026 Challenge on Efficient Super-Resolution

(AAAI2026, Oral) Masked Clustering Prediction for Unsupervised Point Cloud Pre-training

Code for Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks

Paper List about multi-domain graph foundation models

Source code of our ICLR 2026 paper: Proper Velocity Nerual Network

OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.

(ECCV2024) Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery (TextGCD)

Extension of CVPR 2023 paper DCCL

(NeurIPS2024) Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery (PHE)

(AAAI2026) Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning (CAL)

Loomis Painter: Reconstructing the painting process

WAH-MVC code implementation

Code for the AISTATS 2026 paper "Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing"

Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

This toolkit is utilized for evaluating trackers' performance on a large-scale multi-modal tracking benchmark RGBDT500.

Optimal Transport in the age of Diffusion Models

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