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09/16/2023
ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images
We present ExBluRF, a novel view synthesis method for extreme motion blu...
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09/05/2023
NICE 2023 Zero-shot Image Captioning Challenge
In this report, we introduce NICE project[<https://nice.lgresearch.ai/>]...
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09/05/2023
Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery
Understanding how two hands interact with each other is a key component ...
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08/18/2023
Human Part-wise 3D Motion Context Learning for Sign Language Recognition
In this paper, we propose P3D, the human part-wise motion context learni...
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08/12/2023
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction
Despite recent advances in 3D human mesh reconstruction, domain gap betw...
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07/25/2023
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
Quantization is a promising approach to reduce the high computational co...
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03/27/2023
Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding
Hands, one of the most dynamic parts of our body, suffer from blur due t...
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03/09/2023
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Recently, a few self-supervised representation learning (SSL) methods ha...
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12/16/2022
MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields
Hinged on the representation power of neural networks, neural radiance f...
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12/12/2022
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels
We tackle the problem of generating long-term 3D human motion from multi...
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10/02/2022
MonoNHR: Monocular Neural Human Renderer
Existing neural human rendering methods struggle with a single image inp...
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07/28/2022
Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization
We present a method to extract coronary vessels from fluoroscopic x-ray ...
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07/21/2022
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
Despite breakthrough advances in image super-resolution (SR) with convol...
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07/20/2022
3D Clothed Human Reconstruction in the Wild
Although much progress has been made in 3D clothed human reconstruction,...
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06/16/2022
Controllable Image Enhancement
Editing flat-looking images into stunning photographs requires skill and...
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04/26/2022
Attentive Fine-Grained Structured Sparsity for Image Restoration
Image restoration tasks have witnessed great performance improvement in ...
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03/30/2022
Pay Attention to Hidden States for Video Deblurring: Ping-Pong Recurrent Neural Networks and Selective Non-Local Attention
Video deblurring models exploit information in the neighboring frames to...
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03/28/2022
HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network
Hands are often severely occluded by objects, which makes 3D hand mesh e...
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03/22/2022
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
Blind-spot network (BSN) and its variants have made significant advances...
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03/12/2022
Recurrence-in-Recurrence Networks for Video Deblurring
State-of-the-art video deblurring methods often adopt recurrent neural n...
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02/19/2022
C2N: Practical Generative Noise Modeling for Real-World Denoising
Learning-based image denoising methods have been bounded to situations w...
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12/02/2021
Batch Normalization Tells You Which Filter is Important
The goal of filter pruning is to search for unimportant filters to remov...
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10/25/2021
Generative Residual Attention Network for Disease Detection
Accurate identification and localization of abnormalities from radiology...
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10/15/2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
3D shape representation and its processing have substantial effects on 3...
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10/08/2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning
In few-shot learning scenarios, the challenge is to generalize and perfo...
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09/08/2021
Toward Real-World Super-Resolution via Adaptive Downsampling Models
Most image super-resolution (SR) methods are developed on synthetic low-...
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08/19/2021
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces
3D Shape representation has substantial effects on 3D shape reconstructi...
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05/17/2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Video super-resolution has recently become one of the most important mob...
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04/30/2021
NTIRE 2021 Challenge on Image Deblurring
Motion blur is a common photography artifact in dynamic environments tha...
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04/30/2021
NTIRE 2021 Challenge on Video Super-Resolution
Super-Resolution (SR) is a fundamental computer vision task that aims to...
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04/26/2021
Clean Images are Hard to Reblur: A New Clue for Deblurring
The goal of dynamic scene deblurring is to remove the motion blur presen...
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04/21/2021
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation
Deep CNNs have achieved significant successes in image processing and it...
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04/15/2021
3DCrowdNet: 2D Human Pose-Guided3D Crowd Human Pose and Shape Estimation in the Wild
Recovering accurate 3D human pose and shape from in-the-wild crowd scene...
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12/21/2020
DAQ: Distribution-Aware Quantization for Deep Image Super-Resolution Networks
Quantizing deep convolutional neural networks for image super-resolution...
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12/21/2020
Searching for Controllable Image Restoration Networks
Diverse user preferences over images have recently led to a great amount...
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11/23/2020
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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11/23/2020
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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11/17/2020
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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11/09/2020
DynaVSR: Dynamic Adaptive Blind Video Super-Resolution
Most conventional supervised super-resolution (SR) algorithms assume tha...
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10/31/2020
Meta-Learning with Adaptive Hyperparameters
Despite its popularity, several recent works question the effectiveness ...
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09/28/2020
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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08/21/2020
Domain Adaptation of Learned Features for Visual Localization
We tackle the problem of visual localization under changing conditions, ...
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08/21/2020
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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08/20/2020
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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08/19/2020
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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08/09/2020
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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07/14/2020
Visual Tracking by TridentAlign and Context Embedding
Recent advances in Siamese network-based visual tracking methods have en...
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07/13/2020
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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05/04/2020
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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05/04/2020
