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University of Delaware
- Newark, DE
- nyquixt.github.io/profile
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PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
mixup: Beyond Empirical Risk Minimization
A simple way to calibrate your neural network.
This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D huma…
A PyTorch toolkit for 2D Human Pose Estimation.
Code and other material for the book "Deep Learning and the Game of Go"
Scalable toolkit for efficient model reinforcement
Benchmarking Generalized Out-of-Distribution Detection
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
pytorch implementation of Domain-Adversarial Training of Neural Networks
PyTorch implementation of normalizing flow models
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP
Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".
Project for paper "Learning 3D Human Dynamics from Video"
PyTorch implementation for 3D human pose estimation
pytorch version of "End-to-end Recovery of Human Shape and Pose"