A large-scale NOCS dataset.

Adobe-EntitySeg dataset

A JS library to find the convex hull of a finite set of 3d points

ODAM: Object Detection, Association, and Mapping using Posed RGB Video

Exploring Relational Context for Multi-Task Dense Prediction [ICCV 2021]

Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)

CoReNet is a technique for joint multi-object 3D reconstruction from a single RGB image.

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).

Submanifold sparse convolutional networks

[CVPR 2020 Oral] A differentiable framework for 3D registration

Code release for NeRF (Neural Radiance Fields)

Code Release for CVPR 2020, "ACNe: Attentive Context Normalizationfor Robust Permutation-Equivariant Learning"

My personal note about local and global descriptor

Deforming kernels to adapt towards object deformation. In ICLR 2020.

[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Codebase for Image Classification Research, written in PyTorch.

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

Attentive Single-tasking of Multiple Tasks

Python API for LVIS Dataset

A PyTorch implementation of EfficientNet

Semantic Image Synthesis with SPADE

PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

Package to evaluate interactive segmentation with scribbles at DAVIS dataset.

Detail-Preserving Pooling in Deep Networks (CVPR 2018)

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Partial LaTeX sources of my PhD thesis

Latex code for making neural networks diagrams