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Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
The repository provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio), links for downloading the trained model checkpoints, and example notebooks that show how t…
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Release repo for our SLAM Handbook
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion (ICCV 2025)
[CVPR 2025] Official implementation of the paper "SmartEraser: Remove Anything from Images using Masked-Region Guidance".
[ICLR 2025] Duoduo CLIP: Efficient 3D Understanding with Multi-View Images
🚀 Lightning-fast computer vision models. Fine-tune SOTA models with just a few lines of code. Ready for cloud ☁️ and edge 📱 deployment.
Scene-Centric Unsupervised Panoptic Segmentation (CVPR 2025 Highlight)
A Monocular depth-estimation for in-the-wild AutoFocus application.
[ICRA'23] DytanVO: Visual Odometry in Dynamic Environments
Python package for the evaluation of odometry and SLAM
The implementation of the approach from the FRUCT Conference Paper "Transformer-Based Deep Monocular Visual Odometry for Edge Devices"
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Pytorch version of SfmLearner from Tinghui Zhou et al.
An Implementation of DeepVO with CNN / CNN-LSTM
PyTorch port (inference only) of the paper "SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping" [CVPR 2021].
Official and maintained implementation of the dataset paper "The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures" [ICCVW 2023].
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities