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04/14/2021
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
Learning to predict the long-term future of video frames is notoriously ...
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08/19/2020
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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08/19/2020
Image Segmentation of Zona-Ablated Human Blastocysts
Automating human preimplantation embryo grading offers the potential for...
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05/08/2020
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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03/24/2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
Neural architecture search (NAS) has shown promising results discovering...
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03/10/2020
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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11/21/2019
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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09/20/2019
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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08/26/2019
SPGNet: Semantic Prediction Guidance for Scene Parsing
Multi-scale context module and single-stage encoder-decoder structure ar...
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05/07/2019
High Frequency Residual Learning for Multi-Scale Image Classification
We present a novel high frequency residual learning framework, which lea...
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05/05/2019
Towards Instance-level Image-to-Image Translation
Unpaired Image-to-image Translation is a new rising and challenging visi...
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04/06/2019
When AWGN-based Denoiser Meets Real Noises
Discriminative learning based image denoisers have achieved promising pe...
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03/27/2019
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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03/12/2019
Universally Slimmable Networks and Improved Training Techniques
Slimmable networks are a family of neural networks that can instantly ad...
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12/21/2018
Slimmable Neural Networks
We present a simple and general method to train a single neural network ...
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11/26/2018
One Shot Domain Adaptation for Person Re-Identification
How to effectively address the domain adaptation problem is a challengin...
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11/09/2018
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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11/06/2018
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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10/22/2018
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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10/05/2018
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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09/17/2018
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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09/06/2018
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Learning long-term spatial-temporal features are critical for many video...
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09/03/2018
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
Learning long-term spatial-temporal features are critical for many video...
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08/27/2018
Wide Activation for Efficient and Accurate Image Super-Resolution
In this report we demonstrate that with same parameters and computationa...
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08/22/2018
Learning Hierarchical Semantic Image Manipulation through Structured Representations
Understanding, reasoning, and manipulating semantic concepts of images h...
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07/24/2018
Self-produced Guidance for Weakly-supervised Object Localization
Weakly supervised methods usually generate localization results based on...
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07/13/2018
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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04/19/2018
Survey of Face Detection on Low-quality Images
Face detection is a well-explored problem. Many challenges on face detec...
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04/19/2018
Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation
A good representation for arbitrarily complicated data should have the c...
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04/19/2018
Adversarial Complementary Learning for Weakly Supervised Object Localization
In this work, we propose Adversarial Complementary Learning (ACoL) to au...
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04/14/2018
Horizontal Pyramid Matching for Person Re-identification
Despite the remarkable recent progress, person Re-identification (Re-ID)...
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03/19/2018
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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07/02/2017
Deep GrabCut for Object Selection
Most previous bounding-box-based segmentation methods assume the boundin...
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03/22/2017
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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03/10/2017
Deep Image Matting
Image matting is a fundamental computer vision problem and has many appl...
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01/03/2017
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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08/04/2016
UnitBox: An Advanced Object Detection Network
In present object detection systems, the deep convolutional neural netwo...
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03/13/2016
Deep Interactive Object Selection
Interactive object selection is a very important research problem and ha...
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07/31/2015
Deep Networks for Image Super-Resolution with Sparse Prior
Deep learning techniques have been successfully applied in many areas of...
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04/24/2014
Scalable Similarity Learning using Large Margin Neighborhood Embedding
Classifying large-scale image data into object categories is an importan...
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12/21/2013
