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Found 20 papers, 15 papers with code
Multi-agent Embodied AI: Advances and Future Directions
Embodied artificial intelligence (Embodied AI) plays a pivotal role in the application of advanced technologies in the intelligent era, where AI systems are integrated with physical bodies that enable them to perceive, reason, and interact with their environments.
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.
TransVFC: A Transformable Video Feature Compression Framework for Machines
Then, the codec implements perception-guided conditional coding to minimize spatial redundancy and help the reconstructed features align with downstream machine perception. After that, the reconstructed features are transferred to new feature spaces for diverse downstream tasks by FST modules.
Embedding Compression Distortion in Video Coding for Machines
To address this issue, we propose a Compression Distortion Representation Embedding (CDRE) framework, which extracts machine-perception-related distortion representation and embeds it into downstream models, addressing the information lost during compression and improving task performance.
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
Diffusion-based Video Super-Resolution (VSR) is renowned for generating perceptually realistic videos, yet it grapples with maintaining detail consistency across frames due to stochastic fluctuations.
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
The experimental results on the dataset illustrate that the proposed explicit position relation achieves a clear improvement of 1. 3% AP, highlighting its potential towards universal object detection.
Ranked #1 on
Object Detection
on SA-Det-100k
Cooperative Reward Shaping for Multi-Agent Pathfinding
The evidence suggests that the approach proposed in this letter parallels other planners in numerous aspects, and outperforms them in scenarios featuring a large number of agents.
I$^2$VC: A Unified Framework for Intra- & Inter-frame Video Compression
Previous neural video compression methods necessitate distinct codecs for three types of frames (I-frame, P-frame and B-frame), which hinders a unified approach and generalization across different video contexts.
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
DETR-like methods have significantly increased detection performance in an end-to-end manner.
Ranked #6 on
Object Detection
on COCO 2017 val
Semantic Lens: Instance-Centric Semantic Alignment for Video Super-Resolution
As a critical clue of video super-resolution (VSR), inter-frame alignment significantly impacts overall performance.
IBVC: Interpolation-driven B-frame Video Compression
Learned B-frame video compression aims to adopt bi-directional motion estimation and motion compensation (MEMC) coding for middle frame reconstruction.
CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and Optimization
We first utilize Gaussian process (GP) regression to learn a surrogate model to infer the confidence-rich mutual information (CRMI) of querying control actions, then adopt an objective function consisting of predicted CRMI values and prediction uncertainties to conduct Bayesian optimization (BO), i. e., GP-based BO (GPBO).
Distributed Target Tracking with Fading Channels over Underwater Wireless Sensor Networks
The proposed filtering scheme is versatile and possesses wide applicability to numerous real-world scenarios, e. g., tracking a maneuvering underwater target with acoustic sensors.
Physics-informed Neural Network Combined with Characteristic-Based Split for Solving Navier-Stokes Equations
As a result, it can solve the special form of compressible N-S equations -- -Shallow-Water equations, and incompressible N-S equations.
3D-Aware Multi-Class Image-to-Image Translation with NeRFs
In the second step, based on the well-trained multi-class 3D-aware GAN architecture, that preserves view-consistency, we construct a 3D-aware I2I translation system.
SigVIC: Spatial Importance Guided Variable-Rate Image Compression
Variable-rate mechanism has improved the flexibility and efficiency of learning-based image compression that trains multiple models for different rate-distortion tradeoffs.
Temporal Consistency Learning of inter-frames for Video Super-Resolution
A spatio-temporal stability module is designed to learn the self-alignment from inter-frames.
JNMR: Joint Non-linear Motion Regression for Video Frame Interpolation
Video frame interpolation (VFI) aims to generate predictive frames by warping learnable motions from the bidirectional historical references.
Dense residual Transformer for image denoising
In this paper, we proposed an image denoising network structure based on Transformer, which is named DenSformer.
Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
Depth maps obtained by commercial depth sensors are always in low-resolution, making it difficult to be used in various computer vision tasks.
