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leesunfreshing's Projects

molo icon molo

Code for our CVPR 2023 paper "MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition".

multiverse icon multiverse

Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.

navigation icon navigation

The project of Medical Image-Based Navigation, DEE, THU

orvit icon orvit

"Object-Region Video Transformers”, Herzig et al., CVPR 2022

painter icon painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

relateanything icon relateanything

Relate Anything Model is capable of taking an image as input and utilizing SAM to identify the corresponding mask within the image.

something_else icon something_else

Code repository for the paper: 'Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks'

svit icon svit

"Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens”, Ben-Avraham et al., NeurIPS 2022

trajectories icon trajectories

Code for the paper "Representing Spatial Trajectories as Distributions"

tree-of-thoughts icon tree-of-thoughts

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

unilm icon unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

vdi icon vdi

[ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation

vertical icon vertical

[ECCV2022] Official implementation of the paper "View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums"

vifi-clip icon vifi-clip

[CVPR 2023] Official repository of paper titled "Fine-tuned CLIP models are efficient video learners".

viper icon viper

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

visual_prompt_retrieval icon visual_prompt_retrieval

Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"

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