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Found 31 papers, 12 papers with code
Learning Adaptive Lighting via Channel-Aware Guidance
Specifically, we introduce the color-separated features that emphasize the light difference of different color channels and combine them with the traditional color-mixed features by Light Guided Attention (LGA).
Learning Differential Pyramid Representation for Tone Mapping
Previous tone mapping methods mainly focus on how to enhance tones in low-resolution images and recover details using the high-frequent components extracted from the input image.
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities
Through validation on the BraTS2018 and BraTS2020 datasets, ACDIS substantiates its efficacy in the segmentation of brain tumors with missing MRI modalities.
EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning
However, current FER paradigms face challenges in generalization, lack semantic information aligned with natural language, and struggle to process both images and videos within a unified framework, making their application in multimodal emotion understanding and human-computer interaction difficult.
Facial Expression Recognition
Facial Expression Recognition (FER)
From Recognition to Prediction: Leveraging Sequence Reasoning for Action Anticipation
ARR decomposes the action anticipation task into action recognition and sequence reasoning tasks, and effectively learns the statistical relationship between actions by next action prediction (NAP).
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter
We initially conducted empirical analysis on the robustness of different modalities and observed that the skeleton modality is more robust than the RGB modality.
Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
In this paper, we propose the first framework for zero-shot video restoration and enhancement based on the pre-trained image diffusion model.
NTIRE 2024 Challenge on Night Photography Rendering
The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering.
MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems.
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion
In the second stage, we integrate a degradation-aware module into a simplified ControlNet, enabling flexible adaptation to various degradations based on the learned representations.
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors
Facial Action Units (AU) is a vital concept in the realm of affective computing, and AU detection has always been a hot research topic.
Ranked #4 on
Facial Action Unit Detection
on DISFA
A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection
Camouflaged object detection (COD) and salient object detection (SOD) are two distinct yet closely-related computer vision tasks widely studied during the past decades.
KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching
Different from them, we propose to first align the Ref with the center region (namely the overlapped FoV area) of the LR input by combining global warping and local warping to make the aligned Ref be sharp and consistent.
Learning to See Low-Light Images via Feature Domain Adaptation
To solve this problem, we propose a single-stage network empowered by Feature Domain Adaptation (FDA) to decouple the denoising and color mapping tasks in raw LLIE.
RISAM: Referring Image Segmentation via Mutual-Aware Attention Features
Referring image segmentation (RIS) aims to segment a particular region based on a language expression prompt.
Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations
The spatial modulation utilizes the feature with large receptive field to modulate the feature with small receptive field.
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Anatomically, there are innumerable correlations between AUs, which contain rich information and are vital for AU detection.
Ranked #6 on
Facial Action Unit Detection
on DISFA
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement
However, they focus on the contrastive learning between samples, which neglect the inherent self-similar prior in physiological signals and seem to have a limited ability to cope with noisy.
HDR Video Reconstruction with a Large Dynamic Dataset in Raw and sRGB Domains
Based on this dataset, we further propose a Raw-HDRNet, which utilizes the raw LDR frames as inputs.
Unsupervised HDR Image and Video Tone Mapping via Contrastive Learning
We construct a large-scale unpaired HDR-LDR video dataset to facilitate the unsupervised training process for video tone mapping.
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression
Therefore, we propose a Dec-Adapter, a pioneering entropy-efficient transfer learning module for the decoder to bridge natural image and screen content compression.
ITSRN++: Stronger and Better Implicit Transformer Network for Continuous Screen Content Image Super-Resolution
Specifically, we propose a modulation based transformer as the upsampler, which modulates the pixel features in discrete space via a periodic nonlinear function to generate features for continuous pixels.
Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset
Our code and dataset are available at https://github. com/zmzhang1998/Real-RawVSR.
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation
The perturbations for unlabeled data enable the consistency training loss, which benefits semi-supervised semantic segmentation.
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
Nowadays, there is an explosive growth of screen contents due to the wide application of screen sharing, remote cooperation, and online education.
Spatio-temporal Contrastive Domain Adaptation for Action Recognition
Unsupervised domain adaptation (UDA) for human action recognition is a practical and challenging problem.
Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes
Clean video frames for dynamic scenes cannot be captured with a long-exposure shutter or averaging multi-shots as was done for static images.
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views
This paper proposes a new method for simultaneous 3D reconstruction and semantic segmentation of indoor scenes.
CID: Combined Image Denoising in Spatial and Frequency Domains Using Web Images
Second, to handle heavy noise, we further propose using the denoising image to improve image registration of the retrieved Web images, 3D cube building, and the estimation of filtering parameters in the frequency domain.
