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Found 12 papers, 10 papers with code
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN
Our extensive experimental results show that the proposed LSKA module in VAN provides a significant reduction in computational complexity and memory footprints with increasing kernel size while outperforming ViTs, ConvNeXt, and providing similar performance compared to the LKA module in VAN on object recognition, object detection, semantic segmentation, and robustness tests.
Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
To address these issues, we propose a novel Deformable Motion Modulation (DMM) that utilizes geometric kernel offset with adaptive weight modulation to simultaneously perform feature alignment and style transfer.
SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation
It addresses three common issues in the scribble-based video colorization area: colorization vividness, temporal consistency, and color bleeding.
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration
Night imaging with modern smartphone cameras is troublesome due to low photon count and unavoidable noise in the imaging system.
ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
On this basis, we formulate predictions as a mapping from parents' genetic factors to children's genetic factors, and disentangle them from external and variety factors.
Age-Invariant Face Recognition
Image-to-Image Translation
+1
Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation
Moreover, we employ a joint optimization combining pretext tasks with contrastive learning to further enhance the spatio-temporal representation learning.
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation
Real-time semantic segmentation has received considerable attention due to growing demands in many practical applications, such as autonomous vehicles, robotics, etc.
VCGAN: Video Colorization with Hybrid Generative Adversarial Network
We propose a hybrid recurrent Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning.
Spatial Content Alignment For Pose Transfer
Due to unreliable geometric matching and content misalignment, most conventional pose transfer algorithms fail to generate fine-trained person images.
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
It jointly predicts the colorization and saliency map to minimize semantic confusion and color bleeding in the colorized image.
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration.
Hierarchical Regression Network for Spectral Reconstruction from RGB Images
Hyperspectral reconstruction from RGB images denotes a reverse process of hyperspectral imaging by discovering an inverse response function.
Ranked #10 on
Spectral Reconstruction
on ARAD-1K
