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[ICLR 2025 Spotlight] Official Implementation for ToST (Token Statistics Transformer)
Official PyTorch implementation of research papaer "Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation".
go version wechat web api and message framework for building wechat robot
In brain-to-text applications, a pressing need has arisen to develop effective models that can accurately capture the intricate details of EEG signals, such as global and local contextual informati…
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
Code for ECCV 2018 paper - Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image
[CVPR 2025, Highlight] CrossOver: 3D Scene Cross-Modal Alignment
Official implementation of ECCV24 paper "SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding"
[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.
[CVPR'25]Tora: Trajectory-oriented Diffusion Transformer for Video Generation
[ECCV2024] Official PyTorch implementation of "NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation"
Official code for "On Calibrating Diffusion Probabilistic Models"
Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)
[TMLR 2025] On Memorization in Diffusion Models
Diffusion model-based bone suppression in chest X-rays
BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models
This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU
[Neurocomputing] The official code for "H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation".
Deep-learning based semantic and instance segmentation for 3D Electron Microscopy and other bioimage analysis problems based on pytorch.
[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…