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Inner Cell Mass and Trophectoderm Segmentation in Human Blastocyst Images using Deep Neural Network
Embryo quality assessment based on morphological attributes is important...
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Image Segmentation of Zona-Ablated Human Blastocysts
Automating human preimplantation embryo grading offers the potential for...
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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
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BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
Neural architecture search (NAS) has shown promising results discovering...
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FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Motion estimation of cardiac MRI videos is crucial for the evaluation of...
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FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis
Talking face synthesis has been widely studied in either appearance-base...
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SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Developing object detection and tracking on resource-constrained embedde...
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SPGNet: Semantic Prediction Guidance for Scene Parsing
Multi-scale context module and single-stage encoder-decoder structure ar...
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High Frequency Residual Learning for Multi-Scale Image Classification
We present a novel high frequency residual learning framework, which lea...
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Towards Instance-level Image-to-Image Translation
Unpaired Image-to-image Translation is a new rising and challenging visi...
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When AWGN-based Denoiser Meets Real Noises
Discriminative learning based image denoisers have achieved promising pe...
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Network Slimming by Slimmable Networks: Towards One-Shot Architecture Search for Channel Numbers
We study how to set channel numbers in a neural network to achieve bette...
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Universally Slimmable Networks and Improved Training Techniques
Slimmable networks are a family of neural networks that can instantly ad...
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Slimmable Neural Networks
We present a simple and general method to train a single neural network ...
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One Shot Domain Adaptation for Person Re-Identification
How to effectively address the domain adaptation problem is a challengin...
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STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification
In this work, we propose a novel Spatial-Temporal Attention (STA) approa...
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Weakly Supervised Scene Parsing with Point-based Distance Metric Learning
Semantic scene parsing is suffering from the fact that pixel-level annot...
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SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
One-shot semantic segmentation poses a challenging task of recognizing t...
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Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection
In this paper, we analyze failure cases of state-of-the-art detectors an...
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Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Human parsing has received considerable interest due to its wide applica...
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YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Learning long-term spatial-temporal features are critical for many video...
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YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
Learning long-term spatial-temporal features are critical for many video...
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Wide Activation for Efficient and Accurate Image Super-Resolution
In this report we demonstrate that with same parameters and computationa...
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Learning Hierarchical Semantic Image Manipulation through Structured Representations
Understanding, reasoning, and manipulating semantic concepts of images h...
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Self-produced Guidance for Weakly-supervised Object Localization
Weakly supervised methods usually generate localization results based on...
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TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection
This work provides a simple approach to discover tight object bounding b...
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Survey of Face Detection on Low-quality Images
Face detection is a well-explored problem. Many challenges on face detec...
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Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation
A good representation for arbitrarily complicated data should have the c...
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Adversarial Complementary Learning for Weakly Supervised Object Localization
In this work, we propose Adversarial Complementary Learning (ACoL) to au...
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Horizontal Pyramid Matching for Person Re-identification
Despite the remarkable recent progress, person Re-identification (Re-ID)...
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Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
Recent region-based object detectors are usually built with separate cla...
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Deep GrabCut for Object Selection
Most previous bounding-box-based segmentation methods assume the boundin...
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Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes
In this paper, we present a label transfer model from texts to images fo...
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Deep Image Matting
Image matting is a fundamental computer vision problem and has many appl...
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Learning a Mixture of Deep Networks for Single Image Super-Resolution
Single image super-resolution (SR) is an ill-posed problem which aims to...
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UnitBox: An Advanced Object Detection Network
In present object detection systems, the deep convolutional neural netwo...
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Deep Interactive Object Selection
Interactive object selection is a very important research problem and ha...
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Deep Networks for Image Super-Resolution with Sparse Prior
Deep learning techniques have been successfully applied in many areas of...
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Scalable Similarity Learning using Large Margin Neighborhood Embedding
Classifying large-scale image data into object categories is an importan...
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GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training
The ability to train large-scale neural networks has resulted in state-o...
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