research
∙
08/29/2023
Learning to Upsample by Learning to Sample
We present DySample, an ultra-lightweight and effective dynamic upsample...
share
research
∙
08/26/2023
Point-Query Quadtree for Crowd Counting, Localization, and More
We show that crowd counting can be viewed as a decomposable point queryi...
research
∙
08/20/2023
An interpretable deep learning method for bearing fault diagnosis
Deep learning (DL) has gained popularity in recent years as an effective...
research
∙
08/20/2023
ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer
In recent years, end-to-end scene text spotting approaches are evolving ...
research
∙
07/24/2023
Fast Full-frame Video Stabilization with Iterative Optimization
Video stabilization refers to the problem of transforming a shaky video ...
research
∙
07/17/2023
Box-DETR: Understanding and Boxing Conditional Spatial Queries
Conditional spatial queries are recently introduced into DEtection TRans...
research
∙
07/17/2023
On Point Affiliation in Feature Upsampling
We introduce the notion of point affiliation into feature upsampling. By...
research
∙
06/07/2023
Learning Probabilistic Coordinate Fields for Robust Correspondences
We introduce Probabilistic Coordinate Fields (PCFs), a novel geometric-i...
research
∙
06/05/2023
A2B: Anchor to Barycentric Coordinate for Robust Correspondence
There is a long-standing problem of repeated patterns in correspondence ...
research
∙
06/04/2023
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement
Remote photoplethysmography (rPPG) is an important technique for perceiv...
research
∙
05/08/2023
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
Class-agnostic counting (CAC) aims to count objects of interest from a q...
research
∙
04/26/2023
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis
Operators from various industries have been pushing the adoption of wire...
research
∙
04/11/2023
Point-and-Shoot All-in-Focus Photo Synthesis from Smartphone Camera Pair
All-in-Focus (AIF) photography is expected to be a commercial selling po...
research
∙
04/01/2023
Sector Bounds for Vertical Cable Force Error in Cable-Suspended Load Transportation System
This article studies the collaborative transportation of a cable-suspend...
research
∙
03/28/2023
Learning Second-Order Attentive Context for Efficient Correspondence Pruning
Correspondence pruning aims to search consistent correspondences (inlier...
research
∙
03/19/2023
Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets
Point cloud segmentation is a fundamental task in 3D vision that serves ...
research
∙
03/10/2023
Neuron Structure Modeling for Generalizable Remote Physiological Measurement
Remote photoplethysmography (rPPG) technology has drawn increasing atten...
research
∙
02/17/2023
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
Automatic image cropping algorithms aim to recompose images like human-b...
research
∙
12/27/2022
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting
We study the composition style in deep image matting, a notion that char...
research
∙
12/20/2022
ParallelNet: Multi-mode Trajectory Prediction by Multi-mode Trajectory Fusion
Level 5 Autonomous Driving, a technology that a fully automated vehicle ...
research
∙
09/26/2022
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
We introduce point affiliation into feature upsampling, a notion that de...
research
∙
08/01/2022
DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields
Neural Radiance Field (NeRF) and its variants have exhibited great succe...
research
∙
07/31/2022
Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels
Generative adversarial networks (GANs) have been trained to be professio...
research
∙
07/21/2022
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling
We consider the problem of task-agnostic feature upsampling in dense pre...
research
∙
07/20/2022
Robust Object Detection With Inaccurate Bounding Boxes
Learning accurate object detectors often requires large-scale training d...
research
∙
07/18/2022
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects
Partial occlusion effects are a phenomenon that blurry objects near a ca...
research
∙
07/15/2022
3D Instances as 1D Kernels
We introduce a 3D instance representation, termed instance kernels, wher...
research
∙
06/25/2022
BokehMe: When Neural Rendering Meets Classical Rendering
We propose BokehMe, a hybrid bokeh rendering framework that marries a ne...
research
∙
03/16/2022
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting
Class-agnostic counting (CAC) aims to count all instances in a query ima...
research
∙
07/02/2021
Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users
Modern wireless cellular networks use massive multiple-input multiple-ou...
research
∙
04/29/2021
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning
The paper describes an online deep learning algorithm for the adaptive m...
research
∙
02/06/2021
Bootstrapping Statistical Inference for Off-Policy Evaluation
Bootstrapping provides a flexible and effective approach for assessing t...
research
∙
11/29/2020
Learning Affinity-Aware Upsampling for Deep Image Matting
We show that learning affinity in upsampling provides an effective and e...
research
∙
07/16/2020
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
We formulate counting as a sequential decision problem and present a nov...
research
∙
03/26/2020
The 1st Challenge on Remote Physiological Signal Sensing (RePSS)
Remote measurement of physiological signals from videos is an emerging t...
research
∙
01/07/2020
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
Visual counting, a task that aims to estimate the number of objects from...
research
∙
08/15/2019
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
Visual counting, a task that predicts the number of objects from an imag...
research
∙
08/02/2019
Indices Matter: Learning to Index for Deep Image Matting
We show that existing upsampling operators can be unified with the notio...
research
∙
05/24/2019
RL4health: Crowdsourcing Reinforcement Learning for Knee Replacement Pathway Optimization
Joint replacement is the most common inpatient surgical treatment in the...
research
∙
10/23/2018
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
We introduce PreCo, a large-scale English dataset for coreference resolu...
research
∙
07/11/2018
Deep attention-based classification network for robust depth prediction
In this paper, we present our deep attention-based classification (DABC)...
research
∙
07/19/2017
When Unsupervised Domain Adaptation Meets Tensor Representations
Domain adaption (DA) allows machine learning methods trained on data sam...
research
∙
07/07/2017
