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Found 12 papers, 3 papers with code
FMPAF: How Do Fed Chairs Affect the Financial Market? A Fine-grained Monetary Policy Analysis Framework on Their Language
The effectiveness of central bank communication is a crucial aspect of monetary policy transmission.
A Simple Baseline for Efficient Hand Mesh Reconstruction
3D hand pose estimation has found broad application in areas such as gesture recognition and human-machine interaction tasks.
Ranked #2 on
3D Hand Pose Estimation
on DexYCB
FAAC: Facial Animation Generation with Anchor Frame and Conditional Control for Superior Fidelity and Editability
Our method's efficacy has been validated on multiple representative DreamBooth and LoRA models, delivering substantial improvements over the original outcomes in terms of facial fidelity, text-to-image editability, and video motion.
HiDiffusion: Unlocking High-Resolution Creativity and Efficiency in Low-Resolution Trained Diffusion Models
We introduce HiDiffusion, a tuning-free framework comprised of Resolution-Aware U-Net (RAU-Net) and Modified Shifted Window Multi-head Self-Attention (MSW-MSA) to enable pretrained large text-to-image diffusion models to efficiently generate high-resolution images (e. g. 1024$\times$1024) that surpass the training image resolution.
Boosting Generalization with Adaptive Style Techniques for Fingerprint Liveness Detection
We introduce a high-performance fingerprint liveness feature extraction technique that secured first place in LivDet 2023 Fingerprint Representation Challenge.
1st Place Solution of Egocentric 3D Hand Pose Estimation Challenge 2023 Technical Report:A Concise Pipeline for Egocentric Hand Pose Reconstruction
This report introduce our work on Egocentric 3D Hand Pose Estimation workshop.
Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning
Unmanned Aerial Vehicle (UAV)-mounted edge devices are particularly advantageous for FEEL due to their flexibility and mobility in efficient data collection.
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers
Experiments on various transformers demonstrate the effectiveness of our method, while analysis experiments prove our higher robustness to the errors of the token pruning policy.
Ranked #1 on
Efficient ViTs
on ImageNet-1K (with DeiT-S)
SimpleDG: Simple Domain Generalization Baseline without Bells and Whistles
We present a simple domain generalization baseline, which wins second place in both the common context generalization track and the hybrid context generalization track respectively in NICO CHALLENGE 2022.
Efficient One Pass Self-distillation with Zipf's Label Smoothing
This paper proposes an efficient self-distillation method named Zipf's Label Smoothing (Zipf's LS), which uses the on-the-fly prediction of a network to generate soft supervision that conforms to Zipf distribution without using any contrastive samples or auxiliary parameters.
FingerNet: An Unified Deep Network for Fingerprint Minutiae Extraction
In this paper, we propose a new way to design deep convolutional network combining domain knowledge and the representation ability of deep learning.
Latent fingerprint minutia extraction using fully convolutional network
The CNN shares convolutional layers with the fully convolutional network to speed up.
