Search Results for author:
Found 7 papers, 2 papers with code
Region-Aware Exposure Consistency Network for Mixed Exposure Correction
Exposure correction aims to enhance images suffering from improper exposure to achieve satisfactory visual effects.
Learning Exposure Correction in Dynamic Scenes
While image exposure correction is a popular topic, the video counterpart is less explored in the literature.
Mutual Distillation Learning For Person Re-Identification
With the rapid advancements in deep learning technologies, person re-identification (ReID) has witnessed remarkable performance improvements.
Efficient Cloud-edge Collaborative Inference for Object Re-identification
Therefore, we pioneer a cloud-edge collaborative inference framework for ReID systems and particularly propose a distribution-aware correlation modeling network (DaCM) to make the desired image return to the cloud server as soon as possible via learning to model the spatial-temporal correlations among instances.
Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature
Weakly-supervised temporal action localization aims to locate action regions and identify action categories in untrimmed videos simultaneously by taking only video-level labels as the supervision.
Pseudo Label
Weakly-supervised Temporal Action Localization
+1
You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement
The Retinex-based methods require decomposing the image into reflectance and illumination components, which is a highly ill-posed problem and there is no available ground truth.
Coarse-to-Fine Video Denoising with Dual-Stage Spatial-Channel Transformer
Meanwhile, we design a Multi-Scale Residual Structure to preserve multiple aspects of information at different stages, which contains a Temporal Features Aggregation Module to summarize the dynamic representation.
