Search Results for author:
Found 12 papers, 9 papers with code
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 #2 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Video frame interpolation (VFI) aims to generate predictive frames by warping learnable motions from the bidirectional historical references.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.
