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Wenchao Chen's Projects

aot-benchmark icon aot-benchmark

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

cvinw_readings icon cvinw_readings

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

cvpr23_lfdm icon cvpr23_lfdm

The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"

davis16-python3 icon davis16-python3

Package containing helper functions for loading and evaluating DAVIS

flownet2-pytorch icon flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

followyourpose icon followyourpose

Follow-Your-Pose: This repo is the official implementation of "Follow-Your-Pose : Pose-Guided Text-to-Video Generation using Pose-Free Videos"

frtm-vos icon frtm-vos

Code accompanying the paper Learning Fast and Robust Target Models for Video Object Segmentation

ftvsr icon ftvsr

[ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution

gmtracker icon gmtracker

Official PyTorch implementation of "Learnable Graph Matching: Incorporating Graph Partitioning with DeepFeature Learning for Multiple Object Tracking" (CVPR 2021).

hello_fudan icon hello_fudan

⚙ 自动化平安复旦助手 (带验证码识别)

hsnet icon hsnet

Official PyTorch Implementation of Hypercorrelation Squeeze for Few-Shot Segmentation, ICCV 2021

llama-adapter icon llama-adapter

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

mage icon mage

Make It Move: Controllable Image-to-Video Generation with Text Descriptions

motiongrouping icon motiongrouping

Repository accompanying the paper: Self-supervised Video Object Segmentation by Motion Grouping. C. Yang, H. Lamdouar, E. Lu, A. Zisserman, W. Xie.

rmnet icon rmnet

Implementation of "Efficient Regional Memory Network for Video Object Segmentation" (Xie et al., CVPR 2021).

the-emergence-of-objectness icon the-emergence-of-objectness

This is the official released code for our paper, The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos, which has been accepted by NeurIPS 2021. Code will be available soon.

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