Search Results for author:
Found 10 papers, 6 papers with code
Multi-Context Attention for Human Pose Estimation
We further combine the holistic attention model, which focuses on the global consistency of the full human body, and the body part attention model, which focuses on the detailed description for different body parts.
Ranked #8 on
Pose Estimation
on Leeds Sports Poses
Transfer Learning in General Lensless Imaging through Scattering Media
In summary, this work provides a new solution for lensless imaging through scattering media using transfer learning in DNNs.
Structure-Preserving Super Resolution with Gradient Guidance
In this paper, we propose a structure-preserving super resolution method to alleviate the above issue while maintaining the merits of GAN-based methods to generate perceptual-pleasant details.
Ranked #46 on
Image Super-Resolution
on Urban100 - 4x upscaling
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation
In this paper, we propose a deep face super-resolution (FSR) method with iterative collaboration between two recurrent networks which focus on facial image recovery and landmark estimation respectively.
Universality of noise-induced resilience restoration in spatially-extended ecological systems
Resilience restoration focuses on the ability of spatially-extended systems and the required time to recover to their desired states under stochastic environmental conditions.
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search
As hashing becomes an increasingly appealing technique for large-scale image retrieval, multi-label hashing is also attracting more attention for the ability to exploit multi-level semantic contents.
Structure-Preserving Image Super-Resolution
Firstly, we propose SPSR with gradient guidance (SPSR-G) by exploiting gradient maps of images to guide the recovery in two aspects.
Weakly Supervised High-Fidelity Clothing Model Generation
The development of online economics arouses the demand of generating images of models on product clothes, to display new clothes and promote sales.
Ranked #2 on
Virtual Try-on
on MPV
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution
On the other hand, we propose a parallel network which includes two branches of cascaded lookup tables which process different components of the input low-resolution images.
Streamlined Photoacoustic Image Processing with Foundation Models: A Training-Free Solution
Foundation models have rapidly evolved and have achieved significant accomplishments in computer vision tasks.
