site for the 1st Workshop on Test-Time Adaptation: Model, Adapt Thyself! (MAT)
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Updated
Jun 12, 2024 - Makefile
site for the 1st Workshop on Test-Time Adaptation: Model, Adapt Thyself! (MAT)
AIS: Vision, Graphics and AI for Streaming Workshop at CVPR 2024
[CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models".
This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]
A Collection of Papers and Codes for CVPR2024 AIGC
[CVPRW 2024] Official Implementation of "in2IN: Leveraging individual Information to Generate Human INteractions".
This repository is a paper digest of Transformer-related approaches in visual tracking tasks.
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
Code repo for the paper "Building Optimal Neural Architectures using Interpretable Knowledge", accepted to CVPR'24.
"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024)
视觉实验室新手任务
🌎 The Website for the Embodied AI Workshop at CVPR
Tracking through Containers and Occluders in the Wild (CVPR 2023) - Official Implementation
[CVPR 2024] This is the official source for our paper "SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis"
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation
Official code for CVPR '24 paper GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
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