Search Results for author:
Found 6 papers, 2 papers with code
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution
Arbitrary-resolution image generation still remains a challenging task in AIGC, as it requires handling varying resolutions and aspect ratios while maintaining high visual quality.
Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining
The training process consists of self-supervised pretraining and finetuning a ViT-Huge encoder on ImageNet-1K, pretraining the detector on Object365, and finally finetuning it on COCO.
Ranked #8 on
Object Detection
on COCO test-dev
(using extra training data)
ViTKD: Practical Guidelines for ViT feature knowledge distillation
In this paper, we explore the way of feature-based distillation for ViT.
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model
Our approach focuses on the transformation of sign gloss sequences into their corresponding sign pose sequences (G2P).
ReconfigISP: Reconfigurable Camera Image Processing Pipeline
Image Signal Processor (ISP) is a crucial component in digital cameras that transforms sensor signals into images for us to perceive and understand.
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation
Conditional masked language models (CMLM) have shown impressive progress in non-autoregressive machine translation (NAT).
