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09/08/2023
CNN Injected Transformer for Image Exposure Correction
Capturing images with incorrect exposure settings fails to deliver a sat...
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09/08/2023
Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation
Modern displays are capable of rendering video content with high dynamic...
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08/25/2023
Direction-aware Video Demoireing with Temporal-guided Bilateral Learning
Moire patterns occur when capturing images or videos on screens, severel...
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08/24/2023
MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices
Image restoration aims to restore high-quality images from degraded coun...
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08/10/2023
Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models
Aphid infestation poses a significant threat to crop production, rural c...
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08/08/2023
Under-Display Camera Image Restoration with Scattering Effect
The under-display camera (UDC) provides consumers with a full-screen vis...
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07/12/2023
A New Dataset and Comparative Study for Aphid Cluster Detection
Aphids are one of the main threats to crops, rural families, and global ...
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07/05/2023
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models
Image super-resolution (SR) with generative adversarial networks (GAN) h...
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05/26/2023
Gender, Smoking History and Age Prediction from Laryngeal Images
Flexible laryngoscopy is commonly performed by otolaryngologists to dete...
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03/27/2023
Learning Iterative Neural Optimizers for Image Steganography
Image steganography is the process of concealing secret information in i...
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03/21/2023
Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution
Since training a deep neural network (DNN) is costly, the well-trained d...
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03/06/2023
ONE PIECE: One Patchwork In Effectively Combined Extraction for grasp
For grasp network algorithms, generating grasp datasets for a large numb...
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10/25/2022
Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets
Vision Transformers have attracted a lot of attention recently since the...
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10/22/2022
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets
Vision Transformers has demonstrated competitive performance on computer...
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10/19/2022
Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning
Gradient inversion attack enables recovery of training samples from mode...
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10/12/2022
Efficient Image Super-Resolution using Vast-Receptive-Field Attention
The attention mechanism plays a pivotal role in designing advanced super...
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09/05/2022
UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Network
Under-Display Camera (UDC) has been widely exploited to help smartphones...
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08/25/2022
CMOS-based area-and-power-efficient neuron and synapse circuits for time-domain analog spiking neural networks
Conventional neural structures tend to communicate through analog quanti...
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08/23/2022
Low-Light Video Enhancement with Synthetic Event Guidance
Low-light video enhancement (LLVE) is an important yet challenging task ...
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08/01/2022
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions
Advances in perception for self-driving cars have accelerated in recent ...
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05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
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05/12/2022
Blueprint Separable Residual Network for Efficient Image Super-Resolution
Recent advances in single image super-resolution (SISR) have achieved ex...
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05/09/2022
Activating More Pixels in Image Super-Resolution Transformer
Transformer-based methods have shown impressive performance in low-level...
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03/22/2022
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
Self-driving cars must detect vehicles, pedestrians, and other traffic p...
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03/11/2022
TAPE: Task-Agnostic Prior Embedding for Image Restoration
Learning an generalized prior for natural image restoration is an import...
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02/01/2022
Dilated Continuous Random Field for Semantic Segmentation
Mean field approximation methodology has laid the foundation of modern C...
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12/24/2021
Realtime Global Attention Network for Semantic Segmentation
In this paper, we proposed an end-to-end realtime global attention neura...
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09/04/2021
Audio-Visual Transformer Based Crowd Counting
Crowd estimation is a very challenging problem. The most recent study tr...
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08/18/2021
A New Journey from SDRTV to HDRTV
Nowadays modern displays are capable to render video content with high d...
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06/15/2021
Improving the List Decoding Version of the Cyclically Equivariant Neural Decoder
The cyclically equivariant neural decoder was recently proposed in [Chen...
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05/27/2021
HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization
Most consumer-grade digital cameras can only capture a limited range of ...
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05/12/2021
Cyclically Equivariant Neural Decoders for Cyclic Codes
Neural decoders were introduced as a generalization of the classic Belie...
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05/11/2021
Few-Shot Learning by Integrating Spatial and Frequency Representation
Human beings can recognize new objects with only a few labeled examples,...
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04/13/2021
Very Lightweight Photo Retouching Network with Conditional Sequential Modulation
Photo retouching aims at improving the aesthetic visual quality of image...
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02/26/2021
Low-Precision Reinforcement Learning
Low-precision training has become a popular approach to reduce computati...
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11/28/2020
Robotic grasp detection using a novel two-stage approach
Recently, deep learning has been successfully applied to robotic grasp d...
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05/17/2020
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
In the domain of autonomous driving, deep learning has substantially imp...
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04/28/2020
Transferable Active Grasping and Real Embodied Dataset
Grasping in cluttered scenes is challenging for robot vision systems, as...
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03/05/2020
Combating noisy labels by agreement: A joint training method with co-regularization
Deep Learning with noisy labels is a practically challenging problem in ...
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11/13/2019
Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cel...
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01/09/2019
