research
∙
08/28/2023
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
Existing approaches to unsupervised video instance segmentation typicall...
share
research
∙
07/03/2023
Hierarchical Open-vocabulary Universal Image Segmentation
Open-vocabulary image segmentation aims to partition an image into seman...
research
∙
03/15/2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
The combination of Neural Architecture Search (NAS) and quantization has...
research
∙
02/14/2023
Anti-circulant dynamic mode decomposition with sparsity-promoting for highway traffic dynamics analysis
Highway traffic states data collected from a network of sensors can be c...
research
∙
01/26/2023
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
We propose Cut-and-LEaRn (CutLER), a simple approach for training unsupe...
research
∙
09/14/2022
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator
Recent years have seen growing interest in 3D human faces modelling due ...
research
∙
08/04/2022
Bayesian calibration of traffic flow fundamental diagrams using Gaussian processes
Modeling the relationship between vehicle speed and density on the road ...
research
∙
04/25/2022
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
Unsupervised semantic segmentation aims to discover groupings within and...
research
∙
01/05/2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning
This work studies the bias issue of pseudo-labeling, a natural phenomeno...
research
∙
10/08/2021
Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection
Spatiotemporal traffic data (e.g., link speed/flow) collected from senso...
research
∙
10/06/2021
Data-Centric Semi-Supervised Learning
We study unsupervised data selection for semi-supervised learning (SSL),...
research
∙
07/23/2021
Free Hyperbolic Neural Networks with Limited Radii
Non-Euclidean geometry with constant negative curvature, i.e., hyperboli...
research
∙
05/21/2021
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation
This paper studies the traffic state estimation (TSE) problem using spar...
research
∙
04/07/2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Vision-based reinforcement learning (RL) is successful, but how to gener...
research
∙
10/05/2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Natural data are often long-tail distributed over semantic classes. Exis...
research
∙
09/25/2020
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
Convolution is the main building block of convolutional neural networks ...
research
∙
08/09/2020
Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups
Unsupervised feature learning has made great strides with invariant mapp...
research
∙
04/04/2020
Volumetric Attention for 3D Medical Image Segmentation and Detection
A volumetric attention(VA) module for 3D medical image segmentation and ...
research
∙
01/30/2020
Structure-Feature based Graph Self-adaptive Pooling
Various methods to deal with graph data have been proposed in recent yea...
research
∙
12/12/2019
Terahertz Communications (TeraCom): Challenges and Impact on 6G Wireless Systems
Terahertz communications are envisioned as a key technology for 6G, whic...
research
∙
09/12/2019
Well-Conditioned Galerkin Spectral Method for Two-Sided Fractional Diffusion Equation with Drift
In this paper, we focus on designing a well-conditioned Glarkin spectral...
research
∙
04/09/2019