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- Single Image Dehazing via Multi-scale Convolutional Neural Networks1,759
A multi-scale deep neural network for single-image dehazing by learning the mapping between hazy images and their corresponding transmission maps by combining a coarse-scale net which predicts a holistic transmission map based on the entire image, and a fine-scale network which refines results locally.
- Deep People Counting in Extremely Dense Crowds388
This paper proposes an end-to-end deep convolutional neural networks (CNN) regression model for counting people of images in extremely dense crowds that achieves superior performance than the state-of-the-arts in term of the mean and variance of absolute difference.
- Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges382
A multi-scale deep neural network for single image dehazing by learning the mapping between hazy images and their transmission maps by combining a coarse-scale net which predicts a holistic transmission map based on the entire image, and a fine-scale network which refines dehazed results locally.
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- Lightweight Pixel Difference Networks for Efficient Visual Representation Learning58
Two novel types of convolutions are proposed, dubbed Pixel Difference Convolution (PDC) and Binary PDC (Bi-PDC), which enjoy the following benefits: capturing higher-order local differential information, computationally efficient, and able to be integrated with existing DNNs.
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- EPI-Patch Based Convolutional Neural Network for Depth Estimation on 4D Light Field54
An effective convolutional neural network framework to perform the depth estimation on 4-dimensional (4D) light field by based on the orientation-depth relationship of epipolar images (EPIs).
- Identity-Preserving Face Anonymization via Adaptively Facial Attributes Obfuscation53
A face anonymization framework that could obfuscate visual appearance while preserving the identity discriminability and can achieve a balance between recognition utility and appearance anonymizing by modifying different numbers of facial attributes according to pratical demands.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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