Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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Updated
Aug 18, 2024 - Python
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Official PyTorch implementation of Fully Attentional Networks
[ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI
EsViT: Efficient self-supervised Vision Transformers
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
[NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)
Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
[ECCV 2022] The official repo for the paper "Poseur: Direct Human Pose Regression with Transformers".
A Monocular depth-estimation for in-the-wild AutoFocus application.
Official repository for "Self-Supervised Video Transformer" (CVPR'22)
Few-Shot Diffusion Models
Determine whether a given video sequence has been manipulated or synthetically generated
[NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts (CVPR 2024)
[ECCV 2022] "PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation"
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