Search Results for author:
Found 22 papers, 13 papers with code
HARF: Hierarchy-Associated Rich Features for Salient Object Detection
This leads to a rich feature representation, which is able to represent the context of the whole object/background and is much more discriminative as well as robust for salient object detection.
Kernalised Multi-resolution Convnet for Visual Tracking
Visual tracking is intrinsically a temporal problem.
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray
To the best of our knowledge, this is the first end-to-end system that takes a TMA image as input and directly outputs a clinical score.
Review on Optical Image Hiding and Watermarking Techniques
Information security is a critical issue in modern society and image watermarking can effectively prevent unauthorized information access.
Compression of phase-only holograms with JPEG standard and deep learning
It is a critical issue to reduce the enormous amount of data in the processing, storage and transmission of a hologram in digital format.
PR Product: A Substitute for Inner Product in Neural Networks
In this paper, we analyze the inner product of weight vector w and data vector x in neural networks from the perspective of vector orthogonal decomposition and prove that the direction gradient of w decreases with the angle between them close to 0 or {\pi}.
Quality Assessment of DIBR-synthesized views: An Overview
In this paper, we provide a comprehensive survey on various current approaches for DIBR-synthesized views.
SAIS: Single-stage Anchor-free Instance Segmentation
In this paper, we propose a simple yet efficientinstance segmentation approach based on the single-stage anchor-free detector, termed SAIS.
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
Extensive experiments demonstrate that MMA regularization is able to enhance the generalization ability of various modern models and achieves considerable performance improvements on CIFAR100 and TinyImageNet datasets.
Fast Video Salient Object Detection via Spatiotemporal Knowledge Distillation
In this paper, to simplify the network and maintain the accuracy, we present a lightweight network tailored for video salient object detection through the spatiotemporal knowledge distillation.
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision
Predicting human motion behavior in a crowd is important for many applications, ranging from the natural navigation of autonomous vehicles to intelligent security systems of video surveillance.
Ranked #15 on
Trajectory Prediction
on ETH/UCY
DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing
Parsing an image into a hierarchy of objects, parts, and relations is important and also challenging in many computer vision tasks.
SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring
On this basis, we reduce the number of up-sampling and down-sampling and design a simple network structure.
Ranked #1 on
Image Deblurring
on RealBlur-R(trained on GoPro)
Self-Calibrated Efficient Transformer for Lightweight Super-Resolution
Recently, deep learning has been successfully applied to the single-image super-resolution (SISR) with remarkable performance.
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.
Prior-Guided One-shot Neural Architecture Search
In this paper, we present Prior-Guided One-shot NAS (PGONAS) to strengthen the ranking correlation of supernets.
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
The homepage of this challenge is at https://github. com/RenYang-home/AIM22_CompressSR.
A Class-wise Non-salient Region Generalized Framework for Video Semantic Segmentation
In this paper, we propose a class-wise non-salient region generalized (CNSG) framework for the VGSS task.
Cross-View Hierarchy Network for Stereo Image Super-Resolution
Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views.
Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic Segmentation
Based on these observations, a calibration-based dual prototypical contrastive learning (CDPCL) approach is proposed to reduce the domain discrepancy between the learned class-wise features and the prototypes of different domains for domain generalization semantic segmentation.
VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook
In this paper, we propose Clearer Night Image Restoration with Vector-Quantized Codebook (VQCNIR) to achieve remarkable and consistent restoration outcomes on real-world and synthetic benchmarks.
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results.
