Search Results for author:
Found 21 papers, 13 papers with code
NTIRE 2025 Challenge on Image Super-Resolution ($\times$4): Methods and Results
This paper presents the NTIRE 2025 image super-resolution ($\times$4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025.
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results
This paper presents a review for the NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement.
The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report
This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution (ESR).
HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement
In practical applications, conventional methods generate large volumes of low-light images that require compression for efficient storage and transmission.
Color Enhancement for V-PCC Compressed Point Cloud via 2D Attribute Map Optimization
This paper introduces a framework designed to enhance the color quality in the V-PCC compressed point clouds.
Plug-and-Play Tri-Branch Invertible Block for Image Rescaling
High-resolution (HR) images are commonly downscaled to low-resolution (LR) to reduce bandwidth, followed by upscaling to restore their original details.
Ranked #1 on
Image Rescaling
on DIV2K val-q30-2x
Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown
Different from existing tracking-by-detection MOT methods, AED gets rid of prior knowledge (e. g. motion cues) and relies solely on highly robust feature learning to handle complex trajectories in OV-MOT tasks while keeping excellent performance in CV-MOT tasks.
Ranked #1 on
Multi-Object Tracking
on TAO
(using extra training data)
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal
Specifically, the predictor estimates pixel offsets between the first and second compression, which are then utilized to divide different patterns.
Compressed Video Quality Enhancement with Temporal Group Alignment and Fusion
In this paper, we propose a temporal group alignment and fusion network to enhance the quality of compressed videos by using the long-short term correlations between frames.
Texture-guided Coding for Deep Features
This image reconstruction network leverages features and texture images to reconstruct preview images for humans.
CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
Specifically, the ITA module aggregates temporal information from consecutive frames and coding priors, while the MNA module globally captures spatial information guided by residual frames.
Multiple Latent Space Mapping for Compressed Dark Image Enhancement
Since texture details intertwine with compression artifacts in compressed dark images, detail enhancement and blocking artifacts suppression contradict each other in image space.
Super-Resolution Reconstruction from Bayer-Pattern Spike Streams
Experimental results demonstrate that the proposed scheme can reconstruct satisfactory color images with both high temporal and spatial resolution from low-resolution Bayer-pattern spike streams.
Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation
Yet, previous works tend to encode multimodal and contextual relationships in a loosely-coupled manner, which may harm relationship modelling.
Ranked #4 on
Emotion Recognition in Conversation
on IEMOCAP-4
Learning to Kindle the Starlight
Capturing highly appreciated star field images is extremely challenging due to light pollution, the requirements of specialized hardware, and the high level of photographic skills needed.
OL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement
We design a DCT based convolution layer, to produce DCT coefficients that are suitable for CNN learning.
Luminance-Guided Chrominance Image Enhancement for HEVC Intra Coding
In this paper, we propose a luminance-guided chrominance image enhancement convolutional neural network for HEVC intra coding.
Cross-Block Difference Guided Fast CU Partition for VVC Intra Coding
In this paper, we propose a new fast CU partition algorithm for VVC intra coding based on cross-block difference.
Rethinking the competition between detection and ReID in Multi-Object Tracking
However, the inherent differences and relations between detection and re-identification (ReID) are unconsciously overlooked because of treating them as two isolated tasks in the one-shot tracking paradigm.
Ranked #1 on
Multi-Object Tracking
on HiEve
(using extra training data)
Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal Structure
In this paper, we propose a quality enhancement network of versatile video coding (VVC) compressed videos by jointly exploiting spatial details and temporal structure (SDTS).
MGANet: A Robust Model for Quality Enhancement of Compressed Video
In video compression, most of the existing deep learning approaches concentrate on the visual quality of a single frame, while ignoring the useful priors as well as the temporal information of adjacent frames.
