Yinpeng Chen

25

Papers

1

Total Citations

Papers (25)

Exploring Invariance in Images through One-way Wave Equations

Completing Visual Objects via Bridging Generation and Segmentation

Auto-Linear Phenomenon in Subsurface Imaging

Large Scale Incremental Learning

Rethinking Classification and Localization for Object Detection

Dynamic Convolution: Attention Over Convolution Kernels

Dynamic Head: Unifying Object Detection Heads With Attentions

Dynamic Transfer for Multi-Source Domain Adaptation

Mobile-Former: Bridging MobileNet and Transformer

Reduce Information Loss in Transformers for Pluralistic Image Inpainting

BEVT: BERT Pretraining of Video Transformers

Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning

Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding

Dynamic DETR: End-to-End Object Detection With Dynamic Attention

MicroNet: Improving Image Recognition With Extremely Low FLOPs

Improve Unsupervised Pretraining for Few-Label Transfer

Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting

Dynamic ReLU

DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search

Should All Proposals Be Treated Equally in Object Detection?

Stronger NAS with Weaker Predictors

OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion

PaintSeg: Painting Pixels for Training-free Segmentation

$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties

Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection