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DAQ: Distribution-Aware Quantization for Deep Image Super-Resolution Networks
Quantizing deep convolutional neural networks for image super-resolution...
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Searching for Controllable Image Restoration Networks
Diverse user preferences over images have recently led to a great amount...
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Pose2Pose: 3D Positional Pose-Guided 3D Rotational Pose Prediction for Expressive 3D Human Pose and Mesh Estimation
Previous 3D human pose and mesh estimation methods mostly rely on only g...
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NeuralAnnot: Neural Annotator for in-the-wild Expressive 3D Human Pose and Mesh Training Sets
Recovering expressive 3D human pose and mesh from in-the-wild images is ...
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Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
Despite the recent success of single image-based 3D human pose and shape...
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DynaVSR: Dynamic Adaptive Blind Video Super-Resolution
Most conventional supervised super-resolution (SR) algorithms assume tha...
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Meta-Learning with Adaptive Hyperparameters
Despite its popularity, several recent works question the effectiveness ...
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AIM 2020 Challenge on Video Temporal Super-Resolution
Videos in the real-world contain various dynamics and motions that may l...
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Domain Adaptation of Learned Features for Visual Localization
We tackle the problem of visual localization under changing conditions, ...
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InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image
Analysis of hand-hand interactions is a crucial step towards better unde...
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Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
Most of the recent deep learning-based 3D human pose and mesh estimation...
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DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling
Human hands play a central role in interacting with other people and obj...
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I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image
Most of the previous image-based 3D human pose and mesh estimation metho...
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Visual Tracking by TridentAlign and Context Embedding
Recent advances in Siamese network-based visual tracking methods have en...
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IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos
Most current action recognition methods heavily rely on appearance infor...
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NTIRE 2020 Challenge on Image and Video Deblurring
Motion blur is one of the most common degradation artifacts in dynamic s...
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AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results
Videos contain various types and strengths of motions that may look unna...
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Scene-Adaptive Video Frame Interpolation via Meta-Learning
Video frame interpolation is a challenging problem because there are dif...
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Fine-Grained Neural Architecture Search
We present an elegant framework of fine-grained neural architecture sear...
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AbsPoseLifter: Absolute 3D Human Pose Lifting Network from a Single Noisy 2D Human Pose
This study presents a new network (i.e., AbsPoseLifter) that lifts a 2D ...
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Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Catastrophic forgetting is a critical challenge in training deep neural ...
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Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
Although significant improvement has been achieved in 3D human pose esti...
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Learning to Forget for Meta-Learning
Few-shot learning is a challenging problem where the system is required ...
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Multi-scale Aggregation R-CNN for 2D Multi-person Pose Estimation
Multi-person pose estimation from a 2D image is challenging because it r...
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PoseFix: Model-agnostic General Human Pose Refinement Network
Multi-person pose estimation from a 2D image is an essential technique f...
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SPNet: Deep 3D Object Classification and Retrieval using Stereographic Projection
We propose an efficient Stereographic Projection Neural Network (SPNet) ...
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Deep Vessel Segmentation By Learning Graphical Connectivity
We propose a novel deep-learning-based system for vessel segmentation. E...
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Part-Aligned Bilinear Representations for Person Re-identification
We propose a novel network that learns a part-aligned representation for...
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Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space
In this paper, we propose a novel on-line visual tracking framework base...
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3D Hand Pose Estimation: From Current Achievements to Future Goals
In this paper, we strive to answer two questions: What is the current st...
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Joint Blind Motion Deblurring and Depth Estimation of Light Field
Removing camera motion blur from a single light field is a challenging t...
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V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
Most of the existing deep learning-based methods for 3D hand and human p...
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Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images
We propose a framework for localization and classification of masses in ...
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Look Wider to Match Image Patches with Convolutional Neural Networks
When a human matches two images, the viewer has a natural tendency to vi...
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Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence
The conventional methods for estimating camera poses and scene structure...
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Enhanced Deep Residual Networks for Single Image Super-Resolution
Recent research on super-resolution has progressed with the development ...
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Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation
We propose a novel approach to 3D human pose estimation from a single de...
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Online Video Deblurring via Dynamic Temporal Blending Network
State-of-the-art video deblurring methods are capable of removing non-un...
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Visual Tracking by Reinforced Decision Making
One of the major challenges of model-free visual tracking problem has be...
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Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Non-uniform blind deblurring for general dynamic scenes is a challenging...
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Occlusion-Aware Video Deblurring with a New Layered Blur Model
We present a deblurring method for scenes with occluding objects using a...
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Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model
State-of-the-art video deblurring methods cannot handle blurry videos re...
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Deeply-Recursive Convolutional Network for Image Super-Resolution
We propose an image super-resolution method (SR) using a deeply-recursiv...
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Generalized Video Deblurring for Dynamic Scenes
Several state-of-the-art video deblurring methods are based on a strong ...
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