Scott Jing (scottjingtt)

scottjingtt

Geek Repo

Location:California

Home Page:scottjingtt.github.io

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Scott Jing's repositories

SROSDA

implementation of the ICCV work "SR-OSDA"

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awesome-interpretable-transfer-learning

Paper and resources collections about interpretable AI (XAI)

AMF_GZS_SBIR

Implementation of AMF for GZS-SBIR

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InAction

Implementation of the paper InAction, ECCV 2022

XSROSDA

Implementation for the ''Interpretable SR-OSDA'' work, which is an extension of the SR-OSDA published in ICCV 2021.

MAF

Code and supplementary materials for MAF "Marginalized Augmented Few-shot Domain Adaptation"

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APN-ZSL

This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".

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Awesome-explainable-AI

A collection of research materials on explainable AI/ML

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awesome-open-vocabulary-segmentation

A collection of AWESOME things about open-vocabulary segmentation

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CDTrans

[ICLR2022] CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

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Dynamic-Vision-Transformer

Accelerating T2t-ViT by 1.6-3.6x.

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evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

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LED2-Net

CVPR 2021 Oral paper "LED2-Net: Monocular 360Ëš Layout Estimation via Differentiable Depth Rendering" official PyTorch implementation.

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LGT-Net

This is PyTorch implementation of our paper "LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network".(CVPR'22)

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Machine-Learning-From-Scratch

Implementation of popular ML algorithms from scratch

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mvit

Code Release for MViTv2 on Image Recognition.

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pedestrian_intent_action_detection

Code for our paper "Coupling Intent and Action for Pedestrian Crossing Behavior Prediction"

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ProtoProp

Code for the NeurIPS 2021 paper "Independent Prototype Propagation for Zero-Shot Compositionality"

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scottjingtt.github.io

Scott's Homepage

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SDAT

Source code for "A Closer Look at Smoothness in Domain Adversarial Training", ICML 2022

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SHOT-plus

code for our paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

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STR-PIP

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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TFKT

Implementation of TFKT - IEEE TIP

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Training-for-the-Future

Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time

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TransDA

This is an official implementation for "Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation"

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TVT

Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation

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